diff --git a/.gitignore b/.gitignore index 7e91538..d01f89a 100644 --- a/.gitignore +++ b/.gitignore @@ -13,12 +13,6 @@ wheels/ *.bak # notebooks -notebooks/ - -# docs -docs/changelog.md +notebooks/figures/* tests/figures/* - -# utils -utils/ diff --git a/README.md b/README.md index 24392e1..06a1d9d 100644 --- a/README.md +++ b/README.md @@ -1,45 +1,40 @@ -# 简介 +# plotfig + +## 简介 `plotfig` 是一个专为科学数据可视化设计的 Python 库，致力于为认知神经科研工作人员提供高效、易用且美观的图形绘制工具。 -该项目基于业界主流的可视化库—— `matplotlib`、`surfplot` 和 `plotly` 开发，融合了三者的强大功能，能够满足神经科学、脑连接组学、相关性分析、矩阵可视化等多种科研场景下的复杂绘图需求。 +该项目基于业界主流的可视化库—— `matplotlib`、`surfplot` 和 `plotly`等库开发，融合了三者的强大功能，能够满足神经科学、脑连接组学、相关性分析、矩阵可视化等多种科研场景下的复杂绘图需求。 ![plotfig](https://github.com/RicardoRyn/plotfig/blob/main/docs/assets/plotfig.png) - -## 项目结构 +### 项目结构 项目采用模块化设计，核心代码位于 `src/plotfig/` 目录下，包含如下主要功能模块： - `bar.py`：条形图绘制，适用于分组数据的对比展示。 - `correlation.py`：相关性矩阵可视化，便于分析变量间的相关性分布。 - `matrix.py`：通用矩阵可视化，支持多种配色和注释方式。 -- `brain_surface.py`：脑表面可视化，利用 `surfplot` 实现三维脑表面图集结构的绘制。 +- `brain_surface.py`：脑表面可视化，实现三维脑表面图集结构的绘制。 +- `circos.py`：弦图可视化，适合平面展示脑区之间的连接关系。 - `brain_connection.py`：玻璃脑连接可视化，支持复杂的脑网络结构展示。 -- `circos.py`：环状图（Circos）绘制，适合平面展示脑区之间的连接关系。 - -## 文档与示例 +### 文档与示例 `plotfig` 提供了网页文档和使用示例。具体参见[使用教程](https://ricardoryn.github.io/plotfig/)。 -`plotfig` API 设计简洁，参数灵活，适合科研人员和数据分析师快速集成到自己的数据分析流程中。 -其模块化架构便于后续功能扩展和自定义开发。 -结合 `matplotlib` 支持矢量图或高分辨率位图和交互式 HTML 输出，适合论文发表和学术展示。 - -# 安装 +## 安装 -## 普通安装 +### 普通安装 `plotfig` 支持通过 `pip` 或源码安装，要求 Python 3.11 及以上版本。 - -**使用 pip 安装 (推荐)** +#### 使用 pip 安装 (推荐) ```bash pip install plotfig ``` -**使用 GitHub 源码安装** +#### 使用 GitHub 源码安装 ```bash git clone --depth 1 https://github.com/RicardoRyn/plotfig.git @@ -47,55 +42,49 @@ cd plotfig pip install . ``` -## 依赖要求 +### 依赖要求 -`plotfig` 依赖若干核心库，这些依赖将在安装过程中自动处理： +`plotfig` 依赖若干核心库，这些依赖将在安装过程中自动处理，但需要注意： -- [matplotlib](https://matplotlib.org/) ≥ 3.10.1 -- [mne-connectivity](https://mne.tools/mne-connectivity/stable/index.html) ≥ 0.7.0 -- [nibabel](https://nipy.org/nibabel/) ≥ 5.3.2 -- [numpy](https://numpy.org/) ≥ 2.2.4 -- [pandas](https://pandas.pydata.org/) ≥ 2.2.3 -- [plotly](https://plotly.com/) ≥ 6.1.1 -- [kaleido](https://github.com/plotly/Kaleido) ≥ 1.0.0 -- [scipy](https://scipy.org/) ≥ 1.15.2 -- [loguru](https://loguru.readthedocs.io/en/stable/) ≥ 0.7.3 - [surfplot](https://github.com/danjgale/surfplot) 需使用其 GitHub 仓库中的最新版，而非 PyPI 上的版本，因后者尚未包含所需功能。 > ⚠️ **指定 `surfplot` 版本** > -> 由于 PyPI 上的 `surfplot` 版本较旧，缺少 `plotfig` 所需功能，建议通过以下步骤安装其 GitHub 仓库的最新版： -> -> ```bash -> # 卸载旧版本 -> pip uninstall surfplot +> 由于 PyPI 上的 `surfplot` 版本较旧，缺少 `plotfig` 所需功能，建议通过以下步骤安装其 GitHub 仓库的最新版。 > -> # 克隆源码并安装 -> git clone --depth 1 https://github.com/danjgale/surfplot.git -> cd surfplot -> pip install . -> -> # 安装完成后，返回上级目录并删除源码文件夹 -> cd .. -> rm -rf surfplot -> ``` +> 如果您无须绘制 brain_surface 图，可以忽略此步骤。 -## 贡献指南 +```bash +# 卸载旧版本 +pip uninstall surfplot + +# 克隆源码并安装 +git clone --depth 1 https://github.com/danjgale/surfplot.git +cd surfplot +pip install . + +# 安装完成后，返回上级目录并删除源码文件夹 +cd .. +rm -rf surfplot +``` -如果您希望参与 `plotfig` 的开发，或者想体验尚未正式发布的新功能和最新修复的 bug，可以选择以开发模式安装项目。 +## 贡献指南 +如果您希望参与 `plotfig` 的开发，或者想体验尚未正式发布的新功能，可以选择以开发模式安装项目。 这种“可编辑模式（editable mode）”安装方式允许您对本地源码的修改立即生效，非常适合开发、调试和贡献代码。 推荐先 Fork 仓库，然后克隆您自己的 Fork： ```bash -git clone -b dev https://github.com//plotfig.git +git clone -b dev https://github.com/ /plotfig.git cd plotfig pip install -e . ``` **欢迎提交 Issue 或 PR！** -无论是 Bug 报告、功能建议，还是文档改进，都非常欢迎你的参与。 -如果你在使用过程中遇到了问题，或者有更好的想法，欢迎在 [Issue](https://github.com/RicardoRyn/plotfig/issues) 中提出。 +无论是 Bug 报告、功能建议、还是文档改进。 + +都非常欢迎在 [Issue](https://github.com/RicardoRyn/plotfig/issues) 中提出。 + 也可以直接提交 [PR](https://github.com/RicardoRyn/plotfig/pulls)，一起变得更强 🙌！ diff --git a/docs/api/index.md b/docs/api/index.md index 00677bf..89863cd 100644 --- a/docs/api/index.md +++ b/docs/api/index.md @@ -11,18 +11,10 @@ ::: plotfig.matrix -::: plotfig.circos - ::: plotfig.brain_surface -::: plotfig.brain_surface_deprecated - options: - members: - - plot_human_brain_figure - - plot_human_hemi_brain_figure - - plot_chimpanzee_brain_figure - - plot_chimpanzee_hemi_brain_figure - - plot_macaque_brain_figure - - plot_macaque_hemi_brain_figure +::: plotfig.circos + +::: plotfig.brain_connection -::: plotfig.brain_connection \ No newline at end of file +::: plotfig.utils diff --git a/docs/changelog.md b/docs/changelog.md new file mode 100644 index 0000000..3d38384 --- /dev/null +++ b/docs/changelog.md @@ -0,0 +1,4 @@ +# Changelog + +自动更新! +Automatically update! diff --git a/docs/index.md b/docs/index.md index 45f7667..efb5dd8 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,11 +1,10 @@ # 简介 `plotfig` 是一个专为科学数据可视化设计的 Python 库，致力于为认知神经科研工作人员提供高效、易用且美观的图形绘制工具。 -该项目基于业界主流的可视化库—— `matplotlib`、`surfplot` 和 `plotly` 开发，融合了三者的强大功能，能够满足神经科学、脑连接组学、相关性分析、矩阵可视化等多种科研场景下的复杂绘图需求。 +该项目基于业界主流的可视化库—— `matplotlib`、`surfplot` 和 `plotly`等库开发，融合了三者的强大功能，能够满足神经科学、脑连接组学、相关性分析、矩阵可视化等多种科研场景下的复杂绘图需求。 ![plotfig](./assets/plotfig.png) - ## 项目结构 项目采用模块化设计，核心代码位于 `src/plotfig/` 目录下，包含如下主要功能模块： @@ -13,12 +12,11 @@ - `bar.py`：条形图绘制，适用于分组数据的对比展示。 - `correlation.py`：相关性矩阵可视化，便于分析变量间的相关性分布。 - `matrix.py`：通用矩阵可视化，支持多种配色和注释方式。 -- `brain_surface.py`：脑表面可视化，利用 `surfplot` 实现三维脑表面图集结构的绘制。 +- `brain_surface.py`：脑表面可视化，实现三维脑表面图集结构的绘制。 +- `circos.py`：弦图可视化，适合平面展示脑区之间的连接关系。 - `brain_connection.py`：玻璃脑连接可视化，支持复杂的脑网络结构展示。 -- `circos.py`：环状图（Circos）绘制，适合平面展示脑区之间的连接关系。 - -## 文档与示例 +## 特性 `plotfig` API 设计简洁，参数灵活，适合科研人员和数据分析师快速集成到自己的数据分析流程中。 其模块化架构便于后续功能扩展和自定义开发。 @@ -29,5 +27,4 @@ 烫知识：一张图上的所有元素[^1]。 ![Parts of a Figure](https://matplotlib.org/stable/_images/anatomy.png) -[^1]: - [Quick start guide of matplotlib.](https://matplotlib.org/stable/tutorials/introductory/usage.html#parts-of-a-figure) +[^1]: [Quick start guide of matplotlib.](https://matplotlib.org/stable/tutorials/introductory/usage.html#parts-of-a-figure) diff --git a/docs/installation.md b/docs/installation.md index 080ff22..d666da5 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -4,13 +4,13 @@ `plotfig` 支持通过 `pip` 或源码安装，要求 Python 3.11 及以上版本。 -**使用 pip 安装 (推荐)** +### 使用 pip 安装 (推荐) ```bash pip install plotfig ``` -**使用 GitHub 源码安装** +### 使用 GitHub 源码安装 ```bash git clone --depth 1 https://github.com/RicardoRyn/plotfig.git @@ -20,22 +20,15 @@ pip install . ## 依赖要求 -`plotfig` 依赖若干核心库，这些依赖将在安装过程中自动处理： - -- [matplotlib](https://matplotlib.org/) ≥ 3.10.1 -- [mne-connectivity](https://mne.tools/mne-connectivity/stable/index.html) ≥ 0.7.0 -- [nibabel](https://nipy.org/nibabel/) ≥ 5.3.2 -- [numpy](https://numpy.org/) ≥ 2.2.4 -- [pandas](https://pandas.pydata.org/) ≥ 2.2.3 -- [plotly](https://plotly.com/) ≥ 6.1.1 -- [kaleido](https://github.com/plotly/Kaleido) ≥ 1.0.0 -- [scipy](https://scipy.org/) ≥ 1.15.2 -- [loguru](https://loguru.readthedocs.io/en/stable/) ≥ 0.7.3 +`plotfig` 依赖若干核心库，这些依赖将在安装过程中自动处理，但需要注意： + - [surfplot](https://github.com/danjgale/surfplot) 需使用其 GitHub 仓库中的最新版，而非 PyPI 上的版本，因后者尚未包含所需功能。 !!! warning "指定 `surfplot` 版本" - 由于 PyPI 上的 `surfplot` 版本较旧，缺少 `plotfig` 所需功能，建议通过以下步骤安装其 GitHub 仓库的最新版： + 由于 PyPI 上的 `surfplot` 版本较旧，缺少 `plotfig` 所需功能，建议通过以下步骤安装其 GitHub 仓库的最新版。 + + 如果您无须绘制 brain_surface 图，可以忽略此步骤。 ```bash # 卸载旧版本 @@ -53,8 +46,7 @@ pip install . ## 贡献指南 -如果您希望参与 `plotfig` 的开发，或者想体验尚未正式发布的新功能和最新修复的 bug，可以选择以开发模式安装项目。 - +如果您希望参与 `plotfig` 的开发，或者想体验尚未正式发布的新功能，可以选择以开发模式安装项目。 这种“可编辑模式（editable mode）”安装方式允许您对本地源码的修改立即生效，非常适合开发、调试和贡献代码。 推荐先 Fork 仓库，然后克隆您自己的 Fork： @@ -67,6 +59,8 @@ pip install -e . **欢迎提交 Issue 或 PR！** -无论是 Bug 报告、功能建议，还是文档改进，都非常欢迎你的参与。 -如果你在使用过程中遇到了问题，或者有更好的想法，欢迎在 [Issue](https://github.com/RicardoRyn/plotfig/issues) 中提出。 +无论是 Bug 报告、功能建议、还是文档改进。 + +都非常欢迎在 [Issue](https://github.com/RicardoRyn/plotfig/issues) 中提出。 + 也可以直接提交 [PR](https://github.com/RicardoRyn/plotfig/pulls)，一起变得更强 🙌！ diff --git a/docs/usage/brain_surface_deprecated.md b/docs/usage/brain_surface_deprecated.md deleted file mode 100644 index dc96595..0000000 --- a/docs/usage/brain_surface_deprecated.md +++ /dev/null @@ -1,135 +0,0 @@ ---- -status: deprecated ---- - -# 脑区图 - -!!! warning "弃用通知" - - 本文档及以下函数将在未来版本中弃用： - - - `plot_human_brain_figure` - - `plot_human_hemi_brain_figure` - - `plot_chimpanzee_brain_figure` - - `plot_chimpanzee_hemi_brain_figure` - - `plot_macaque_brain_figure` - - `plot_macaque_hemi_brain_figure` - - 请使用统一的新函数：`plot_brain_surface_figure`。 - - 使用前，请确保安装了支持该函数的指定版本的 `surfplot`。 - 具体安装说明请参阅：[安装/依赖指南](../installation.md/#_3)。 - - -脑区图是一种用于在大脑皮层表面可视化数值数据的图表。 -它能够将不同脑区的数值映射到大脑皮层的相应区域，并以颜色编码的方式展示这些数值的分布情况。 -这种图表常用于展示神经科学研究中的各种脑区指标，如BOLD信号强度、髓鞘化程度、体积或厚度或其他数值化的大脑特征。 - -`plot_brain_surface_figure` 函数基于 `surfplot` 库开发，提供了一个统一且简化的接口来绘制人脑、猕猴脑和黑猩猩脑的脑区图。 -目前支持多种脑图谱包括： - -1. 人 Glasser (HCP-MMP) 图集[^1]。[图集 CSV 文件](../../assets/atlas_csv/human_glasser.csv)。 -1. 人 BNA 图集[^2]。[图集 CSV 文件](../../assets/atlas_csv/human_bna.csv)。 -1. 黑猩猩 BNA 图集[^3]。[图集 CSV 文件](../../assets/atlas_csv/chimpanzee_bna.csv)。 -1. 猕猴 CHARM 5-level [^4]。[图集 CSV 文件](../../assets/atlas_csv/macaque_charm5.csv)。 -1. 猕猴 CHARM 6-level [^4]。[图集 CSV 文件](../../assets/atlas_csv/macaque_charm6.csv)。 -1. 猕猴 BNA 图集[^5]。[图集 CSV 文件](../../assets/atlas_csv/macaque_bna.csv)。 -1. 猕猴 D99 图集[^6]。[图集 CSV 文件](../../assets/atlas_csv/macaque_d99.csv)。 - -[^1]: - Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., Smith, S. M., & Van Essen, D. C. (2016). A multi-modal parcellation of human cerebral cortex. Nature, 536(7615), Article 7615. https://doi.org/10.1038/nature18933 -[^2]: - Fan, L., Li, H., Zhuo, J., Zhang, Y., Wang, J., Chen, L., Yang, Z., Chu, C., Xie, S., Laird, A. R., Fox, P. T., Eickhoff, S. B., Yu, C., & Jiang, T. (2016). The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cerebral Cortex (New York, N.Y.: 1991), 26(8), 3508–3526. https://doi.org/10.1093/cercor/bhw157 -[^3]: - Wang, Y., Cheng, L., Li, D., Lu, Y., Wang, C., Wang, Y., Gao, C., Wang, H., Erichsen, C. T., Vanduffel, W., Hopkins, W. D., Sherwood, C. C., Jiang, T., Chu, C., & Fan, L. (2025). The Chimpanzee Brainnetome Atlas reveals distinct connectivity and gene expression profiles relative to humans. The Innovation, 0(0). https://doi.org/10.1016/j.xinn.2024.100755 -[^4]: - Jung, B., Taylor, P. A., Seidlitz, J., Sponheim, C., Perkins, P., Ungerleider, L. G., Glen, D., & Messinger, A. (2021). A comprehensive macaque fMRI pipeline and hierarchical atlas. NeuroImage, 235, 117997. https://doi.org/10.1016/j.neuroimage.2021.117997 -[^5]: - Lu, Y., Cui, Y., Cao, L., Dong, Z., Cheng, L., Wu, W., Wang, C., Liu, X., Liu, Y., Zhang, B., Li, D., Zhao, B., Wang, H., Li, K., Ma, L., Shi, W., Li, W., Ma, Y., Du, Z., … Jiang, T. (2024). Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology. Science Bulletin, 69(14), 2241–2259. https://doi.org/10.1016/j.scib.2024.03.031 -[^6]: - Reveley, C., Gruslys, A., Ye, F. Q., Glen, D., Samaha, J., E. Russ, B., Saad, Z., K. Seth, A., Leopold, D. A., & Saleem, K. S. (2017). Three-Dimensional Digital Template Atlas of the Macaque Brain. Cerebral Cortex, 27(9), 4463–4477. https://doi.org/10.1093/cercor/bhw248 - -## 全脑 - -### 快速出图 - -!!! info - 画图前请确保脑区名字正确。 - - -```python -from plotfig import * - -data = {"lh_V1": 1, "rh_MT": 1.5} - -ax = plot_human_brain_figure(data) -``` - - C:\Users\RicardoRyn\AppData\Local\Temp\ipykernel_32020\3935563387.py:5: DeprecationWarning: plot_human_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。 - ax = plot_human_brain_figure(data) - - - - -![png](brain_surface_deprecated_files/brain_surface_deprecated_7_1.png) - - - - -```python -import matplotlib.pyplot as plt -from plotfig import * - -macaque_data = {"lh_V1": 1} -chimpanzee_data = {"lh_MVOcC.rv": 1} - -fig1 = plot_chimpanzee_brain_figure(chimpanzee_data, title_name="Chimpanzee") -fig2 = plot_macaque_brain_figure(macaque_data, title_name="Macaque") -``` - - C:\Users\RicardoRyn\AppData\Local\Temp\ipykernel_25800\3219235559.py:7: DeprecationWarning: plot_chimpanzee_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。 - fig1 = plot_chimpanzee_brain_figure(chimpanzee_data, title_name="Chimpanzee") - - - - -![png](brain_surface_deprecated_files/brain_surface_deprecated_8_1.png) - - - - - -![png](brain_surface_deprecated_files/brain_surface_deprecated_8_2.png) - - - -### 参数设置 - -全部参数见 [`brain_surface_deprecated`](../api/index.md/#plotfig.brain_surface_deprecated) 的 API 文档。 - - -```python -from plotfig import * - -data = {"lh_V1": 1, "rh_MT": 1.5, "rh_V1": -1} - -ax = plot_human_brain_figure( - data, - surf="inflated", - cmap="bwr", - vmin=-1, - vmax=1, - colorbar=True, - colorbar_label_name="AAA" -) -``` - - C:\Users\RicardoRyn\AppData\Local\Temp\ipykernel_25800\2158603925.py:5: DeprecationWarning: plot_human_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。 - ax = plot_human_brain_figure( - - - - -![png](brain_surface_deprecated_files/brain_surface_deprecated_11_1.png) - - diff --git a/docs/usage/brain_surface_deprecated_files/brain_surface_deprecated_10_1.png 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+弦图是一种用于展示大脑不同区域之间连接关系的可视化图表。 +通过弧线将脑区相连，可以快速了解脑区之间的连接。 ```python -import numpy as np -import matplotlib.pyplot as plt -from plotfig import * +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix -# 生成一个随机的10x10矩阵 -np.random.seed(1998) -matrix_size = 10 -connectome = np.random.rand(matrix_size, matrix_size) -# 使矩阵对称 -connectome = (connectome + connectome.T) / 2 -# 将对角线置为0 -np.fill_diagonal(connectome, 0) +# 随机生成对称加权矩阵（对角线为0） +connectome = gen_symmetric_matrix(30, mode="nonneg", sparsity=0.1) -node_colors = ["#ffaec9", "#ffc90e", "#b5e61d", "#7092be", "#efe4b0"] +# 画图 +fig = plot_circos_figure(connectome) -fig = plot_symmetric_circle_figure( - connectome, node_colors=node_colors, colorbar=True, vmin=0, vmax=1 -) -fig.savefig("./figures/circle1.png", dpi=250, bbox_inches="tight") +# 保存图片 +# fig.savefig("./figures/circos1.png") ``` @@ -31,26 +26,191 @@ fig.savefig("./figures/circle1.png", dpi=250, bbox_inches="tight") +## 参数设置 + +全部参数见[`plot_circos_figure`](../api/index.md/#plotfig.circos.plot_circos_figure)的 API 文档。 + + +```python +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix + +# 随机生成一个10x10的对称加权矩阵（对角线为0） +connectome = gen_symmetric_matrix(10, mode="nonneg", sparsity=0.2) +node_names = ["lh_A", "lh_B", "lh_C", "lh_D", "lh_E", "rh_A", "rh_B", "rh_C", "rh_D", "rh_E"] +node_colors = ["#ff0000", "blue", "green", "yellow", "orange", "red", "blue", "green", "yellow", "orange"] + +# 画图 +fig = plot_circos_figure( + connectome, + symmetric=True, + node_names=node_names, + node_colors=node_colors, + node_space=2, + node_label_fontsize=15, + vmin=0.1, + vmax=0.9, + edge_color="purple", + edge_alpha=0.8, + colorbar=True, + colorbar_orientation="horizontal", + colorbar_label="Conncetivity", +) + +# 保存图片 +# fig.savefig("./figures/circos.png") +``` + + + +![png](circos_files/circos_3_0.png) + + + +### 与其他图组合 + +在默认情况下，`plot_circos_figure` 函数会返回一个 `fig`，可以直接用于保存，例如 `fig.savefig("./figures/circos.png")`。 + +在特殊情况下，我们也可以返回 `ax`，以便将其与其他图组合使用。 + + +```python +import matplotlib.pyplot as plt +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix + +fig = plt.figure(figsize=(6, 3)) + +ax1 = fig.add_subplot(1, 2, 1) +ax1.plot([1, 2, 3, 4], [2, 1, 4, 3]) + +ax2 = fig.add_subplot(1, 2, 2, projection="polar") +connectome = gen_symmetric_matrix(10, mode="nonneg", sparsity=0.1) +ax2 = plot_circos_figure(connectome, ax=ax2) + +# 保存图片 +# fig.savefig("./figures/circos.png") +``` + + + +![png](circos_files/circos_5_0.png) + + + +### 对称与非对称弦图 + +`plotfig` 可以绘制对称或不对称两种样式的弦图。只需通过 `symmetric` 参数进行设置。 + + +```python +import matplotlib.pyplot as plt +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix + +fig = plt.figure(figsize=(7, 3)) +ax1 = fig.add_subplot(1, 2, 1, projection="polar") +ax2 = fig.add_subplot(1, 2, 2, projection="polar") + +connectome = gen_symmetric_matrix(10, mode="nonneg", sparsity=0.1) + +ax1 = plot_circos_figure(connectome, symmetric=True, ax=ax1, colorbar=False) +ax2 = plot_circos_figure(connectome, symmetric=False, ax=ax2) + +# 保存图片 +# fig.savefig("./figures/circos.png") +``` + + + +![png](circos_files/circos_7_0.png) + + + +### 边的颜色 + +`edge_color` 参数可用于设置边的颜色，但无论如何，边的深浅仍会根据连接权重自动调整。 + ```python -import numpy as np import matplotlib.pyplot as plt -from plotfig import * - -# 生成一个随机的100x100矩阵 -matrix_size = 10 -connectome = np.random.rand(matrix_size, matrix_size) -# 使矩阵对称 -connectome = (connectome + connectome.T) / 2 -# 将对角线置为0 -np.fill_diagonal(connectome, 0) - -fig = plot_asymmetric_circle_figure(connectome, colorbar=True) -fig.savefig("./figures/circle2.png", dpi=250, bbox_inches="tight") +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix + +fig = plt.figure(figsize=(12, 3), layout="constrained") +ax1 = fig.add_subplot(1, 3, 1, projection="polar") +ax2 = fig.add_subplot(1, 3, 2, projection="polar") +ax3 = fig.add_subplot(1, 3, 3, projection="polar") + +connectome = gen_symmetric_matrix(10, mode="nonneg", sparsity=0.1) + +ax1 = plot_circos_figure(connectome, ax=ax1, edge_color="red") +ax2 = plot_circos_figure(connectome, ax=ax2, edge_color="green") +ax3 = plot_circos_figure(connectome, ax=ax3, edge_color="blue") + +# 保存图片 +# fig.savefig("./figures/circos.png") ``` -![png](circos_files/circos_2_0.png) +![png](circos_files/circos_9_0.png) + + + +也可以通过 `cmap` 参数应用 Matplotlib 内置的常用颜色映射（Colormap）。 + +!!! warning + 当使用`cmap`时，`edge_color`参数将不再生效。 + + +```python +import matplotlib.pyplot as plt +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix + +fig = plt.figure(figsize=(12, 3), layout="constrained") +ax1 = fig.add_subplot(1, 3, 1, projection="polar") +ax2 = fig.add_subplot(1, 3, 2, projection="polar") +ax3 = fig.add_subplot(1, 3, 3, projection="polar") + +connectome = gen_symmetric_matrix(10, mode="nonneg", sparsity=0.1) + +ax1 = plot_circos_figure(connectome, ax=ax1, cmap="Reds") +ax2 = plot_circos_figure(connectome, ax=ax2, cmap="viridis") +ax3 = plot_circos_figure(connectome, ax=ax3, cmap="bwr") + +# 保存图片 +# fig.savefig("./figures/circos.png") +``` + + + +![png](circos_files/circos_11_0.png) + + + +当 connectome 数据中存在负值时，无法自定义边的颜色，系统将默认使用 Matplotlib 的 `bwr` 颜色映射。 + + +```python +from plotfig import plot_circos_figure +from plotfig.utils.utils import gen_symmetric_matrix + +# 生成带负值的对称矩阵 +connectome = gen_symmetric_matrix(10, mode="all", sparsity=0.1) + +fig = plot_circos_figure(connectome) + +# 保存图片 +# fig.savefig("./figures/circos.png") +``` + + 2025-09-05 15:09:37.347 | WARNING  | plotfig.circos:plot_circos_figure:116 - 由于 connectome 存在负值，连线颜色无法自定义，只能正值显示红色，负值显示蓝色 + + + + +![png](circos_files/circos_13_1.png) diff --git a/docs/usage/circos_files/circos_11_0.png b/docs/usage/circos_files/circos_11_0.png new file mode 100644 index 0000000..0b963d8 Binary files /dev/null and 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提供了简洁易用的点线相关图功能，能够自动绘制变量散点、拟合线，可以计算并显示 Spearman 或 Pearson 两种相关系数（默认计算 Spearman 相关性）。 同时，`plot_correlation_figure` 会根据显著性水平自动标注 `*`、`**` 或 `***`，帮助用户快速判断相关性是否显著，适合用于科研图表、演示幻灯片或论文插图中。 - ## 快速出图 假如我们有两组样本数量一致的数据（每组包含 100 个样本），我们希望通过绘图直观展示它们之间是否存在相关性。 @@ -24,7 +23,7 @@ data2 = data1 + np.random.normal(1,50, 100) # data2是在data1的基础上加上了噪声。 # 正经人都知道data1和data2相关，那么plotfig知不知道呢？ -plot_correlation_figure(data1,data2) +ax = plot_correlation_figure(data1,data2) ``` @@ -50,7 +49,7 @@ data2 = data1 + np.random.normal(1,50, 100) # 正经人都知道data1和data2相关，那么plotfig知不知道呢？ fig, ax = plt.subplots(figsize=(3, 3)) -plot_correlation_figure( +ax = plot_correlation_figure( data1, data2, stats_method="spearman", # 仅有“spearman, pearson”，默认是spearman @@ -85,7 +84,7 @@ data1 = np.random.standard_normal(n) data2 = 2.0 + 3.0 * data1 + 4.0 * np.random.standard_normal(n) fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(7, 3), layout="constrained") -plot_correlation_figure( +ax1 = plot_correlation_figure( data1, data2, ax=ax1 diff --git a/docs/usage/correlation_files/correlation_4_0.png b/docs/usage/correlation_files/correlation_4_0.png index 7ff071e..2461393 100644 Binary files a/docs/usage/correlation_files/correlation_4_0.png and b/docs/usage/correlation_files/correlation_4_0.png differ diff --git a/docs/usage/correlation_files/correlation_7_0.png b/docs/usage/correlation_files/correlation_7_0.png index f091f0e..e4180b4 100644 Binary files a/docs/usage/correlation_files/correlation_7_0.png and b/docs/usage/correlation_files/correlation_7_0.png differ diff --git a/docs/usage/correlation_files/correlation_9_0.png b/docs/usage/correlation_files/correlation_9_0.png index ef7548c..c2b7843 100644 Binary files a/docs/usage/correlation_files/correlation_9_0.png and b/docs/usage/correlation_files/correlation_9_0.png differ diff --git a/docs/usage/matrix.md b/docs/usage/matrix.md index 398bc98..a21db74 100644 --- a/docs/usage/matrix.md +++ b/docs/usage/matrix.md @@ -5,7 +5,6 @@ `plot_matrix_figure` 支持自动生成矩阵图。 - ## 快速出图 我们可以生成一个 10 × 19 的矩阵图，用于展示 10 个元素与另 19 个元素之间的成对关系。 @@ -17,7 +16,7 @@ from plotfig import * data = np.random.rand(10, 19) -plot_matrix_figure(data) +ax = plot_matrix_figure(data) ``` @@ -39,7 +38,7 @@ from plotfig import * data = np.random.rand(4,4) fig, ax = plt.subplots(figsize=(3,3)) -plot_matrix_figure( +ax = plot_matrix_figure( data, row_labels_name=["A", "B", "C", "D"], col_labels_name=["E", "F", "G", "H"], diff --git a/docs/usage/matrix_files/matrix_4_0.png b/docs/usage/matrix_files/matrix_4_0.png index 38fc1ea..791566e 100644 Binary files a/docs/usage/matrix_files/matrix_4_0.png and b/docs/usage/matrix_files/matrix_4_0.png differ diff --git a/docs/usage/matrix_files/matrix_7_0.png b/docs/usage/matrix_files/matrix_7_0.png index 7a3206c..8b4305c 100644 Binary files a/docs/usage/matrix_files/matrix_7_0.png and b/docs/usage/matrix_files/matrix_7_0.png differ diff --git a/docs/usage/multi_groups.md b/docs/usage/multi_groups.md index 2ae3fee..573ae82 100644 --- a/docs/usage/multi_groups.md +++ b/docs/usage/multi_groups.md @@ -27,7 +27,7 @@ group2_bar1 = np.random.normal(3, 1, 10) group2_bar2 = np.random.normal(3, 1, 10) group2_bar3 = np.random.normal(3, 1, 10) -plot_multi_group_bar_figure([[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]]) +ax = plot_multi_group_bar_figure([[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]]) ``` @@ -58,7 +58,7 @@ group2_bar2 = np.random.normal(3, 1, 10) group2_bar3 = np.random.normal(3, 1, 10) fig, ax = plt.subplots(figsize=(6, 3)) -plot_multi_group_bar_figure( +ax = plot_multi_group_bar_figure( [[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]], ax=ax, group_labels=["A", "B"], @@ -102,7 +102,7 @@ group2_bar2 = np.random.normal(3, 1, 10) group2_bar3 = np.random.normal(3, 1, 10) fig, ax = plt.subplots(figsize=(6, 3)) -plot_multi_group_bar_figure( +ax = plot_multi_group_bar_figure( [[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]], ax=ax, group_labels=["A", "B"], diff --git a/docs/usage/multi_groups_files/multi_groups_3_0.png b/docs/usage/multi_groups_files/multi_groups_3_0.png index 2ddf721..b3374fe 100644 Binary files a/docs/usage/multi_groups_files/multi_groups_3_0.png and b/docs/usage/multi_groups_files/multi_groups_3_0.png differ diff --git a/docs/usage/multi_groups_files/multi_groups_6_0.png b/docs/usage/multi_groups_files/multi_groups_6_0.png index cb153de..7cad427 100644 Binary files a/docs/usage/multi_groups_files/multi_groups_6_0.png and b/docs/usage/multi_groups_files/multi_groups_6_0.png differ diff --git a/docs/usage/multi_groups_files/multi_groups_9_0.png b/docs/usage/multi_groups_files/multi_groups_9_0.png index ee896b8..030a3a5 100644 Binary files a/docs/usage/multi_groups_files/multi_groups_9_0.png and b/docs/usage/multi_groups_files/multi_groups_9_0.png differ diff --git a/docs/usage/single_group.md b/docs/usage/single_group.md index 2eb5003..33c6c96 100644 --- a/docs/usage/single_group.md +++ b/docs/usage/single_group.md @@ -19,7 +19,7 @@ data1 = np.random.normal(1, 1, 9) data2 = np.random.normal(2, 1, 10) data3 = np.random.normal(3, 1, 11) -plot_one_group_bar_figure([data1, data2, data3]) +ax = plot_one_group_bar_figure([data1, data2, data3]) ``` @@ -47,8 +47,8 @@ ax2_bar2 = np.random.normal(0, 1, 10) fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust() -plot_one_group_bar_figure([ax1_bar1, ax1_bar2], ax=axes.flatten()[0]) -plot_one_group_bar_figure([ax2_bar1, ax2_bar2], ax=axes.flatten()[1]) +ax1 = plot_one_group_bar_figure([ax1_bar1, ax1_bar2], ax=axes.flatten()[0]) +ax2 = plot_one_group_bar_figure([ax2_bar1, ax2_bar2], ax=axes.flatten()[1]) ``` @@ -77,10 +77,10 @@ ax4_bar2 = np.random.normal(3, 1, 10) fig, axes = plt.subplots(2, 2, figsize=(6, 6)) fig.subplots_adjust(wspace=0.5, hspace=0.5) -plot_one_group_bar_figure([ax1_bar1, ax1_bar2], ax=axes[0,0], labels_name=["A", "B"]) -plot_one_group_bar_figure([ax2_bar1, ax2_bar2], ax=axes[0,1], labels_name=["C", "D"]) -plot_one_group_bar_figure([ax3_bar1, ax3_bar2], ax=axes[1,0], labels_name=["E", "F"]) -plot_one_group_bar_figure([ax4_bar1, ax4_bar2], ax=axes[1,1], labels_name=["G", "H"]) +ax1 = plot_one_group_bar_figure([ax1_bar1, ax1_bar2], ax=axes[0,0], labels_name=["A", "B"]) +ax2 = plot_one_group_bar_figure([ax2_bar1, ax2_bar2], ax=axes[0,1], labels_name=["C", "D"]) +ax3 = plot_one_group_bar_figure([ax3_bar1, ax3_bar2], ax=axes[1,0], labels_name=["E", "F"]) +ax4 = plot_one_group_bar_figure([ax4_bar1, ax4_bar2], ax=axes[1,1], labels_name=["G", "H"]) ``` @@ -109,7 +109,7 @@ data1 = np.random.normal(7, 1, 10) data2 = np.random.normal(8, 1, 9) fig, ax = plt.subplots(figsize=(3, 3)) -plot_one_group_bar_figure( +ax = plot_one_group_bar_figure( [data1, data2], ax=ax, labels_name=["A", "B"], @@ -137,6 +137,7 @@ plot_one_group_bar_figure( 例如，当我们计算了“人-黑猩猩、人-猕猴、黑猩猩-猕猴”之间的同源脑区（共 20 个）结构连接的 Spearman 相关性时，可以考虑使用这种方式进行可视化展示。 + ```python import numpy as np import matplotlib.pyplot as plt @@ -153,7 +154,7 @@ human_macaque = np.random.normal(7, 1, 20) chimp_macaque = np.random.normal(7, 1, 20) fig, ax = plt.subplots(figsize=(5,5)) -plot_one_group_bar_figure( +ax = plot_one_group_bar_figure( [human_chimp, human_macaque, chimp_macaque], ax=ax, labels_name=["Human-Chimp", "Human-Macaque", "Chimp-Macaque"], @@ -191,7 +192,7 @@ data2 = np.random.normal(4, 1, 9) fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust(wspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0], labels_name=["AAAAAAAAAAA", "BBBBBBBBBB"], @@ -199,7 +200,7 @@ plot_one_group_bar_figure( title_name="名字过长", title_fontsize=15, ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[1], labels_name=["AAAAAAAAAAA", "BBBBBBBBBB"], @@ -237,7 +238,7 @@ data2 = np.random.normal(4, 1, 9) fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust(wspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0], labels_name=["A", "B"], @@ -245,7 +246,7 @@ plot_one_group_bar_figure( title_name="黄金比例显示", title_fontsize=15, ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[1], labels_name=["A", "B"], @@ -279,7 +280,7 @@ data2 = np.random.normal(2, 1, 9) fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust(wspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0], labels_name=["A", "B"], @@ -287,7 +288,7 @@ plot_one_group_bar_figure( title_name="黄金比例显示", title_fontsize=15, ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[1], labels_name=["A", "B"], @@ -321,7 +322,7 @@ data2 = np.random.normal(0.9, 0.1, 9) fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust(wspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0], labels_name=["A", "B"], @@ -329,7 +330,7 @@ plot_one_group_bar_figure( title_name="黄金比例显示", title_fontsize=15, ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[1], labels_name=["A", "B"], @@ -365,7 +366,7 @@ data4 = np.random.normal(0.0001, 0.0001, 12) fig, axes = plt.subplots(2, 2, figsize=(6, 6)) fig.subplots_adjust(wspace=0.5, hspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0,0], labels_name=["A", "B"], @@ -373,7 +374,7 @@ plot_one_group_bar_figure( title_name="科学计数法", title_fontsize=15, ) # 默认y轴使用科学计数法 -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[0,1], labels_name=["A", "B"], @@ -382,7 +383,7 @@ plot_one_group_bar_figure( title_fontsize=15, math_text=False, # 手动关闭科学计数法 ) -plot_one_group_bar_figure( +ax3 = plot_one_group_bar_figure( [data3, data4], ax=axes[1,0], labels_name=["A", "B"], @@ -390,7 +391,7 @@ plot_one_group_bar_figure( title_name="科学计数法", title_fontsize=15, ) # 默认y轴使用科学计数法 -plot_one_group_bar_figure( +ax4 = plot_one_group_bar_figure( [data3, data4], ax=axes[1,1], labels_name=["A", "B"], @@ -411,7 +412,7 @@ plot_one_group_bar_figure( !!! warning `percentage` 格式会与 `math_text` 冲突。 - 而`math_text` 默认打开，需显示关闭。 + 而`math_text` 默认打开，需显式关闭。 ```python @@ -428,7 +429,7 @@ data2 = np.random.normal(0.5, 0.1, 9) fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust(wspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0], labels_name=["A", "B"], @@ -436,7 +437,7 @@ plot_one_group_bar_figure( title_name="常规显示", title_fontsize=15, ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[1], labels_name=["A", "B"], @@ -475,7 +476,7 @@ dots_color2 = [["green"]*5+["pink"]*5, ["orange"]*4+["purple"]*5] fig, axes = plt.subplots(1, 2, figsize=(6, 3)) fig.subplots_adjust(wspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0], labels_name=["A", "B"], @@ -484,7 +485,7 @@ plot_one_group_bar_figure( title_fontsize=15, dots_color=dots_color1, # 散点颜色 ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data1, data2], ax=axes[1], labels_name=["A", "B"], @@ -511,12 +512,9 @@ plot_one_group_bar_figure( 4. Mann-Whitney U 检验（`mannwhitneyu`） 5. 外部统计检验 （`external`） -> - 使用时需先通过 `statistic` 选项启用统计功能，并在 `test_method` 中指定方法名。 - ```python import numpy as np import matplotlib.pyplot as plt @@ -537,7 +535,7 @@ data7 = np.random.normal(1, 1, 20) fig, axes = plt.subplots(2, 2, figsize=(6, 6)) fig.subplots_adjust(wspace=0.5, hspace=0.5) -plot_one_group_bar_figure( +ax1 = plot_one_group_bar_figure( [data1, data2], ax=axes[0,0], labels_name=["A", "B"], @@ -545,9 +543,9 @@ plot_one_group_bar_figure( title_name="独立样本t检验", title_fontsize=15, statistic=True, - test_method="ttest_ind" + test_method=["ttest_ind"] ) -plot_one_group_bar_figure( +ax2 = plot_one_group_bar_figure( [data2, data3], ax=axes[0,1], labels_name=["A", "B"], @@ -555,9 +553,9 @@ plot_one_group_bar_figure( title_name="配对样本t检验", title_fontsize=15, statistic=True, - test_method="ttest_rel" + test_method=["ttest_rel"] ) -plot_one_group_bar_figure( +ax3 = plot_one_group_bar_figure( [data6, data7], ax=axes[1,0], labels_name=["A", "B"], @@ -565,10 +563,10 @@ plot_one_group_bar_figure( title_name="单样本t检验", title_fontsize=15, statistic=True, - test_method="ttest_1samp", + test_method=["ttest_1samp"], popmean=0, ) -plot_one_group_bar_figure( +ax4 = plot_one_group_bar_figure( [data4, data5], ax=axes[1,1], labels_name=["A", "B"], @@ -576,7 +574,7 @@ plot_one_group_bar_figure( title_name="Mann-Whitney U检验", title_fontsize=15, statistic=True, - test_method="mannwhitneyu" + test_method=["mannwhitneyu"] ) ``` @@ -615,21 +613,21 @@ data4 = np.random.normal(9, 1, 20) p_list = [0.05, 0.01, 0.001, 1, 0.05, 0.01] fig, ax = plt.subplots(figsize=(6, 6)) -plot_one_group_bar_figure( +ax = plot_one_group_bar_figure( [data1, data2, data3, data4], ax=ax, y_label_name="y", title_name="外部检验", title_fontsize=15, statistic=True, - test_method="external", + test_method=["external"], p_list=p_list, ) ``` -![png](single_group_files/single_group_37_0.png) +![png](single_group_files/single_group_36_0.png) @@ -662,7 +660,7 @@ human_macaque = 2 + np.random.normal(0, 1, 100) chimp_macaque = 3 + np.random.normal(0, 1, 100) fig, ax = plt.subplots(figsize=(5,5)) -plot_one_group_violin_figure( +ax = plot_one_group_violin_figure( [human_chimp, human_macaque, chimp_macaque], ax=ax, labels_name=["Human-Chimp", "Human-Macaque", "Chimp-Macaque"], @@ -674,12 +672,12 @@ plot_one_group_violin_figure( show_dots=True, dots_size=7, statistic=True, - test_method="mannwhitneyu" + test_method=["mannwhitneyu"] ) ``` -![png](single_group_files/single_group_40_0.png) +![png](single_group_files/single_group_39_0.png) diff --git a/docs/usage/single_group_files/single_group_12_0.png b/docs/usage/single_group_files/single_group_12_0.png index 8f0d0dd..bb8fcf0 100644 Binary files a/docs/usage/single_group_files/single_group_12_0.png and b/docs/usage/single_group_files/single_group_12_0.png differ diff --git a/docs/usage/single_group_files/single_group_14_0.png b/docs/usage/single_group_files/single_group_14_0.png index b6cd7e2..5cdb10d 100644 Binary files a/docs/usage/single_group_files/single_group_14_0.png and b/docs/usage/single_group_files/single_group_14_0.png differ diff --git a/docs/usage/single_group_files/single_group_17_0.png b/docs/usage/single_group_files/single_group_17_0.png index 34f020f..1364d92 100644 Binary files a/docs/usage/single_group_files/single_group_17_0.png and b/docs/usage/single_group_files/single_group_17_0.png differ diff --git a/docs/usage/single_group_files/single_group_20_0.png b/docs/usage/single_group_files/single_group_20_0.png index c8d151f..fbf16ea 100644 Binary files a/docs/usage/single_group_files/single_group_20_0.png and b/docs/usage/single_group_files/single_group_20_0.png differ diff --git a/docs/usage/single_group_files/single_group_22_0.png b/docs/usage/single_group_files/single_group_22_0.png index b9deede..6ad7e53 100644 Binary files a/docs/usage/single_group_files/single_group_22_0.png and b/docs/usage/single_group_files/single_group_22_0.png differ diff --git a/docs/usage/single_group_files/single_group_24_0.png b/docs/usage/single_group_files/single_group_24_0.png index 85e8f5d..7995fc9 100644 Binary files a/docs/usage/single_group_files/single_group_24_0.png and b/docs/usage/single_group_files/single_group_24_0.png differ diff --git a/docs/usage/single_group_files/single_group_26_0.png b/docs/usage/single_group_files/single_group_26_0.png index 6853c2a..86ec248 100644 Binary files a/docs/usage/single_group_files/single_group_26_0.png and b/docs/usage/single_group_files/single_group_26_0.png differ diff --git a/docs/usage/single_group_files/single_group_28_0.png b/docs/usage/single_group_files/single_group_28_0.png index a8c0845..75fbbc6 100644 Binary files a/docs/usage/single_group_files/single_group_28_0.png and b/docs/usage/single_group_files/single_group_28_0.png differ diff --git a/docs/usage/single_group_files/single_group_31_0.png b/docs/usage/single_group_files/single_group_31_0.png index 1bb20cc..b545e37 100644 Binary files a/docs/usage/single_group_files/single_group_31_0.png and b/docs/usage/single_group_files/single_group_31_0.png differ diff --git a/docs/usage/single_group_files/single_group_34_0.png b/docs/usage/single_group_files/single_group_34_0.png index e40cb62..0e2ef76 100644 Binary files a/docs/usage/single_group_files/single_group_34_0.png and b/docs/usage/single_group_files/single_group_34_0.png differ diff --git a/docs/usage/single_group_files/single_group_36_0.png b/docs/usage/single_group_files/single_group_36_0.png index 45808f7..7038467 100644 Binary files a/docs/usage/single_group_files/single_group_36_0.png and b/docs/usage/single_group_files/single_group_36_0.png differ diff --git a/docs/usage/single_group_files/single_group_39_0.png b/docs/usage/single_group_files/single_group_39_0.png index de0985a..8be768b 100644 Binary files a/docs/usage/single_group_files/single_group_39_0.png and b/docs/usage/single_group_files/single_group_39_0.png differ diff --git a/docs/usage/single_group_files/single_group_3_0.png b/docs/usage/single_group_files/single_group_3_0.png index 88f5724..fa25fe9 100644 Binary files a/docs/usage/single_group_files/single_group_3_0.png and b/docs/usage/single_group_files/single_group_3_0.png differ diff --git a/docs/usage/single_group_files/single_group_6_0.png b/docs/usage/single_group_files/single_group_6_0.png index 104c522..c22f469 100644 Binary files a/docs/usage/single_group_files/single_group_6_0.png and b/docs/usage/single_group_files/single_group_6_0.png differ diff --git a/docs/usage/single_group_files/single_group_8_0.png b/docs/usage/single_group_files/single_group_8_0.png index d68aea3..8c7594b 100644 Binary files a/docs/usage/single_group_files/single_group_8_0.png and b/docs/usage/single_group_files/single_group_8_0.png differ diff --git a/mkdocs.yml b/mkdocs.yml index 5a16433..678db91 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -152,8 +152,7 @@ nav: - 多组柱状图: usage/multi_groups.md - 相关图: usage/correlation.md - 矩阵图: usage/matrix.md - - 连线图: usage/circos.md - 脑区图: usage/brain_surface.md - - 脑区图 (旧版): usage/brain_surface_deprecated.md + - 弦图: usage/circos.md - 脑连接图: usage/brain_connectivity.md - API: api/index.md diff --git a/notebooks/brain_connectivity.ipynb b/notebooks/brain_connectivity.ipynb new file mode 100644 index 0000000..acaaa47 --- /dev/null +++ b/notebooks/brain_connectivity.ipynb @@ -0,0 +1,99 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a9e1d592", + "metadata": {}, + "source": [ + "# 脑连接图" + ] + }, + { + "cell_type": "markdown", + "id": "a7ddf906", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "透明的大脑图，可以展示脑区间的连接关系。\n", + "需要准备左右半脑的surface文件、脑区相关的nii.gz文件以及连接矩阵。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3aeca39", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from plotfig import *\n", + "\n", + "# 生成一个 31x31 的连接矩阵（对称加权矩阵，对角线为0）\n", + "matrix = np.zeros((31, 31))\n", + "matrix[0, 1] = 1\n", + "matrix[0, 2] = 2\n", + "matrix[0, 3] = 3\n", + "matrix[4, 1] = -1\n", + "matrix[4, 2] = -2\n", + "matrix[4, 3] = -3\n", + "matrix = (matrix + matrix.T) / 2 # 矩阵对称\n", + "\n", + "connectome = matrix\n", + "\n", + "output_file = \"./figures/brain_connection.html\"\n", + "\n", + "lh_surfgii_file = r\"e:\\6_Self\\plot_self_brain_connectivity\\103818.L.midthickness.32k_fs_LR.surf.gii\"\n", + "rh_surfgii_file = r\"e:\\6_Self\\plot_self_brain_connectivity\\103818.R.midthickness.32k_fs_LR.surf.gii\"\n", + "niigz_file = rf\"e:\\6_Self\\plot_self_brain_connectivity\\human_Self_processing_network.nii.gz\"\n", + "\n", + "fig = plot_brain_connection_figure(\n", + " connectome,\n", + " lh_surfgii_file=lh_surfgii_file,\n", + " rh_surfgii_file=rh_surfgii_file,\n", + " niigz_file=niigz_file,\n", + " output_file=output_file,\n", + " scale_method=\"width\",\n", + " line_width=10,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3ffe6519", + "metadata": {}, + "source": [ + "html文件可以在浏览器中交互。可以手动截图，也可以使用以下命令来生成图片。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f257283e", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "\n", + "Path(f\"./figures/brain_connection\").mkdir(parents=True, exist_ok=True) # 新建文件夹保存帧图\n", + "save_brain_connection_frames(fig, output_dir=rf\"./figures/brain_connection\", n_frames=36)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/brain_surface.ipynb b/notebooks/brain_surface.ipynb new file mode 100644 index 0000000..bb15ac9 --- /dev/null +++ b/notebooks/brain_surface.ipynb @@ -0,0 +1,210 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "80ca4d3c", + "metadata": {}, + "source": [ + "# 脑区图" + ] + }, + { + "cell_type": "markdown", + "id": "33e52eca", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "脑区图是一种用于在大脑皮层表面可视化数值数据的图表。\n", + "它能够将不同脑区的数值映射到大脑皮层的相应区域，并以颜色编码的方式展示这些数值的分布情况。\n", + "这种图表常用于展示神经科学研究中的各种脑区指标，如BOLD信号强度、髓鞘化程度、体积或厚度或其他数值化的大脑特征。\n", + "\n", + "`plot_brain_surface_figure` 函数基于 `surfplot` 库开发，提供了一个统一且简化的接口来绘制人脑、猕猴脑和黑猩猩脑的脑区图。\n", + "目前支持多种脑图谱包括：\n", + "\n", + "1. 人 Glasser (HCP-MMP) 图集[^1]。[图集 CSV 文件](../../assets/atlas_csv/human_glasser.csv)。\n", + "1. 人 BNA 图集[^2]。[图集 CSV 文件](../../assets/atlas_csv/human_bna.csv)。\n", + "1. 黑猩猩 BNA 图集[^3]。[图集 CSV 文件](../../assets/atlas_csv/chimpanzee_bna.csv)。\n", + "1. 猕猴 CHARM 5-level [^4]。[图集 CSV 文件](../../assets/atlas_csv/macaque_charm5.csv)。\n", + "1. 猕猴 CHARM 6-level [^4]。[图集 CSV 文件](../../assets/atlas_csv/macaque_charm6.csv)。\n", + "1. 猕猴 BNA 图集[^5]。[图集 CSV 文件](../../assets/atlas_csv/macaque_bna.csv)。\n", + "1. 猕猴 D99 图集[^6]。[图集 CSV 文件](../../assets/atlas_csv/macaque_d99.csv)。\n", + "\n", + "[^1]:\n", + " Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., Smith, S. M., & Van Essen, D. C. (2016). A multi-modal parcellation of human cerebral cortex. Nature, 536(7615), Article 7615. https://doi.org/10.1038/nature18933\n", + "[^2]:\n", + " Fan, L., Li, H., Zhuo, J., Zhang, Y., Wang, J., Chen, L., Yang, Z., Chu, C., Xie, S., Laird, A. R., Fox, P. T., Eickhoff, S. B., Yu, C., & Jiang, T. (2016). The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cerebral Cortex (New York, N.Y.: 1991), 26(8), 3508–3526. https://doi.org/10.1093/cercor/bhw157\n", + "[^3]:\n", + " Wang, Y., Cheng, L., Li, D., Lu, Y., Wang, C., Wang, Y., Gao, C., Wang, H., Erichsen, C. T., Vanduffel, W., Hopkins, W. D., Sherwood, C. C., Jiang, T., Chu, C., & Fan, L. (2025). The Chimpanzee Brainnetome Atlas reveals distinct connectivity and gene expression profiles relative to humans. The Innovation, 0(0). https://doi.org/10.1016/j.xinn.2024.100755\n", + "[^4]:\n", + " Jung, B., Taylor, P. A., Seidlitz, J., Sponheim, C., Perkins, P., Ungerleider, L. G., Glen, D., & Messinger, A. (2021). A comprehensive macaque fMRI pipeline and hierarchical atlas. NeuroImage, 235, 117997. https://doi.org/10.1016/j.neuroimage.2021.117997\n", + "[^5]:\n", + " Lu, Y., Cui, Y., Cao, L., Dong, Z., Cheng, L., Wu, W., Wang, C., Liu, X., Liu, Y., Zhang, B., Li, D., Zhao, B., Wang, H., Li, K., Ma, L., Shi, W., Li, W., Ma, Y., Du, Z., … Jiang, T. (2024). Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology. Science Bulletin, 69(14), 2241–2259. https://doi.org/10.1016/j.scib.2024.03.031\n", + "[^6]:\n", + " Reveley, C., Gruslys, A., Ye, F. Q., Glen, D., Samaha, J., E. Russ, B., Saad, Z., K. Seth, A., Leopold, D. A., & Saleem, K. S. (2017). Three-Dimensional Digital Template Atlas of the Macaque Brain. Cerebral Cortex, 27(9), 4463–4477. https://doi.org/10.1093/cercor/bhw248" + ] + }, + { + "cell_type": "markdown", + "id": "84de1901", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "## 全脑" + ] + }, + { + "cell_type": "markdown", + "id": "688b5c37", + "metadata": {}, + "source": [ + "### 快速出图" + ] + }, + { + "cell_type": "markdown", + "id": "a1f26f77", + "metadata": {}, + "source": [ + "!!! info\n", + " 画图前请确保脑区名字正确。" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ae78902f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from plotfig import *\n", + "\n", + "data = {\"lh_V1\": 1, \"rh_MT\": 1.5}\n", + "\n", + "ax = plot_brain_surface_figure(data, species=\"human\", atlas=\"glasser\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d5a159f1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "macaque_data = {\"lh_V1\": 1}\n", + "chimpanzee_data = {\"lh_MVOcC.rv\": 1}\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))\n", + "\n", + "ax1 = plot_brain_surface_figure(\n", + " chimpanzee_data, species=\"chimpanzee\", atlas=\"bna\", ax=ax1, title_name=\"Chimpanzee\"\n", + ")\n", + "ax2 = plot_brain_surface_figure(\n", + " macaque_data, species=\"macaque\", atlas=\"charm5\", ax=ax2, title_name=\"Macaque\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "8daeeb9e", + "metadata": {}, + "source": [ + "### 参数设置" + ] + }, + { + "cell_type": "markdown", + "id": "d9a3afc4", + "metadata": {}, + "source": [ + "全部参数见 [`plot_brain_surface_figure`](../api/index.md/#plotfig.brain_surface.plot_brain_surface_figure) 的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6820b9a0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from plotfig import *\n", + "\n", + "data = {\"lh_V1\": 1, \"rh_MT\": 1.5, \"rh_V1\": -1}\n", + "\n", + "ax = plot_brain_surface_figure(\n", + " data,\n", + " species=\"human\",\n", + " atlas=\"glasser\",\n", + " surf=\"inflated\",\n", + " cmap=\"bwr\",\n", + " vmin=-1,\n", + " vmax=1,\n", + " colorbar=True,\n", + " colorbar_label_name=\"AAA\"\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/circos.ipynb b/notebooks/circos.ipynb new file mode 100644 index 0000000..b6fe702 --- /dev/null +++ b/notebooks/circos.ipynb @@ -0,0 +1,363 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e013316e", + "metadata": {}, + "source": [ + "# 弦图\n", + "\n", + "## 快速出图\n", + "\n", + "弦图是一种用于展示大脑不同区域之间连接关系的可视化图表。\n", + "通过弧线将脑区相连，可以快速了解脑区之间的连接。" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d1ea1e5e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "# 随机生成对称加权矩阵（对角线为0）\n", + "connectome = gen_symmetric_matrix(30, mode=\"nonneg\", sparsity=0.1)\n", + "\n", + "# 画图\n", + "fig = plot_circos_figure(connectome)\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos1.png\")" + ] + }, + { + "cell_type": "markdown", + "id": "e59c26ed", + "metadata": {}, + "source": [ + "## 参数设置\n", + "\n", + "全部参数见[`plot_circos_figure`](../api/index.md/#plotfig.circos.plot_circos_figure)的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b8dba084", + "metadata": { + "lines_to_next_cell": 0 + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "# 随机生成一个10x10的对称加权矩阵（对角线为0）\n", + "connectome = gen_symmetric_matrix(10, mode=\"nonneg\", sparsity=0.2)\n", + "node_names = [\"lh_A\", \"lh_B\", \"lh_C\", \"lh_D\", \"lh_E\", \"rh_A\", \"rh_B\", \"rh_C\", \"rh_D\", \"rh_E\"]\n", + "node_colors = [\"#ff0000\", \"blue\", \"green\", \"yellow\", \"orange\", \"red\", \"blue\", \"green\", \"yellow\", \"orange\"]\n", + "\n", + "# 画图\n", + "fig = plot_circos_figure(\n", + " connectome,\n", + " symmetric=True,\n", + " node_names=node_names,\n", + " node_colors=node_colors,\n", + " node_space=2,\n", + " node_label_fontsize=15,\n", + " vmin=0.1,\n", + " vmax=0.9,\n", + " edge_color=\"purple\",\n", + " edge_alpha=0.8,\n", + " colorbar=True,\n", + " colorbar_orientation=\"horizontal\",\n", + " colorbar_label=\"Conncetivity\",\n", + ")\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos.png\")" + ] + }, + { + "cell_type": "markdown", + "id": "05fb502e", + "metadata": {}, + "source": [ + "### 与其他图组合\n", + "\n", + "在默认情况下，`plot_circos_figure` 函数会返回一个 `fig`，可以直接用于保存，例如 `fig.savefig(\"./figures/circos.png\")`。\n", + "\n", + "在特殊情况下，我们也可以返回 `ax`，以便将其与其他图组合使用。" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bc1f70c1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "fig = plt.figure(figsize=(6, 3))\n", + "\n", + "ax1 = fig.add_subplot(1, 2, 1)\n", + "ax1.plot([1, 2, 3, 4], [2, 1, 4, 3])\n", + "\n", + "ax2 = fig.add_subplot(1, 2, 2, projection=\"polar\")\n", + "print(type(ax2))\n", + "connectome = gen_symmetric_matrix(10, mode=\"nonneg\", sparsity=0.1)\n", + "ax2 = plot_circos_figure(connectome, ax=ax2)\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos.png\")" + ] + }, + { + "cell_type": "markdown", + "id": "15edcde6", + "metadata": {}, + "source": [ + "### 对称与非对称弦图\n", + "\n", + "`plotfig` 可以绘制对称或不对称两种样式的弦图。只需通过 `symmetric` 参数进行设置。" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8c3be8fc", + "metadata": { + "lines_to_next_cell": 0 + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "fig = plt.figure(figsize=(7, 3))\n", + "ax1 = fig.add_subplot(1, 2, 1, projection=\"polar\")\n", + "ax2 = fig.add_subplot(1, 2, 2, projection=\"polar\")\n", + "\n", + "connectome = gen_symmetric_matrix(10, mode=\"nonneg\", sparsity=0.1)\n", + "\n", + "ax1 = plot_circos_figure(connectome, symmetric=True, ax=ax1, colorbar=False)\n", + "ax2 = plot_circos_figure(connectome, symmetric=False, ax=ax2)\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos.png\")" + ] + }, + { + "cell_type": "markdown", + "id": "2830ff34", + "metadata": {}, + "source": [ + "### 边的颜色\n", + "\n", + "`edge_color` 参数可用于设置边的颜色，但无论如何，边的深浅仍会根据连接权重自动调整。" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9d31a4bf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "fig = plt.figure(figsize=(12, 3), layout=\"constrained\")\n", + "ax1 = fig.add_subplot(1, 3, 1, projection=\"polar\")\n", + "ax2 = fig.add_subplot(1, 3, 2, projection=\"polar\")\n", + "ax3 = fig.add_subplot(1, 3, 3, projection=\"polar\")\n", + "\n", + "connectome = gen_symmetric_matrix(10, mode=\"nonneg\", sparsity=0.1)\n", + "\n", + "ax1 = plot_circos_figure(connectome, ax=ax1, edge_color=\"red\")\n", + "ax2 = plot_circos_figure(connectome, ax=ax2, edge_color=\"green\")\n", + "ax3 = plot_circos_figure(connectome, ax=ax3, edge_color=\"blue\")\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos.png\")" + ] + }, + { + "cell_type": "markdown", + "id": "cf4361e9", + "metadata": {}, + "source": [ + "也可以通过 `cmap` 参数应用 Matplotlib 内置的常用颜色映射（Colormap）。\n", + "\n", + "!!! warning\n", + " 当使用`cmap`时，`edge_color`参数将不再生效。" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9f50caeb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "fig = plt.figure(figsize=(12, 3), layout=\"constrained\")\n", + "ax1 = fig.add_subplot(1, 3, 1, projection=\"polar\")\n", + "ax2 = fig.add_subplot(1, 3, 2, projection=\"polar\")\n", + "ax3 = fig.add_subplot(1, 3, 3, projection=\"polar\")\n", + "\n", + "connectome = gen_symmetric_matrix(10, mode=\"nonneg\", sparsity=0.1)\n", + "\n", + "ax1 = plot_circos_figure(connectome, ax=ax1, cmap=\"Reds\")\n", + "ax2 = plot_circos_figure(connectome, ax=ax2, cmap=\"viridis\")\n", + "ax3 = plot_circos_figure(connectome, ax=ax3, cmap=\"bwr\")\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos.png\")" + ] + }, + { + "cell_type": "markdown", + "id": "7bb2fbb6", + "metadata": {}, + "source": [ + "当 connectome 数据中存在负值时，无法自定义边的颜色，系统将默认使用 Matplotlib 的 `bwr` 颜色映射。" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d6035d3c", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m2025-09-05 15:09:37.347\u001b[0m | \u001b[33m\u001b[1mWARNING \u001b[0m | \u001b[36mplotfig.circos\u001b[0m:\u001b[36mplot_circos_figure\u001b[0m:\u001b[36m116\u001b[0m - \u001b[33m\u001b[1m由于 connectome 存在负值，连线颜色无法自定义，只能正值显示红色，负值显示蓝色\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from plotfig import plot_circos_figure\n", + "from plotfig.utils import gen_symmetric_matrix\n", + "\n", + "# 生成带负值的对称矩阵\n", + "connectome = gen_symmetric_matrix(10, mode=\"all\", sparsity=0.1)\n", + "\n", + "fig = plot_circos_figure(connectome)\n", + "\n", + "# 保存图片\n", + "# fig.savefig(\"./figures/circos.png\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/correlation.ipynb b/notebooks/correlation.ipynb new file mode 100644 index 0000000..ee83e3b --- /dev/null +++ b/notebooks/correlation.ipynb @@ -0,0 +1,218 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "461ade1d", + "metadata": {}, + "source": [ + "# 相关图" + ] + }, + { + "cell_type": "markdown", + "id": "4fcb2507", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "点线相关图是一类用于展示两个变量之间相关关系的可视化图形，通常在图中绘制每个样本的一对变量值作为点，并通过拟合线、相关系数和显著性标注来体现它们的相关程度。\n", + "它是探索变量之间线性或非线性关系的常用方法，尤其在科学研究和数据分析中非常常见。\n", + "\n", + "`plot_correlation_figure` 提供了简洁易用的点线相关图功能，能够自动绘制变量散点、拟合线，可以计算并显示 Spearman 或 Pearson 两种相关系数（默认计算 Spearman 相关性）。\n", + "同时，`plot_correlation_figure` 会根据显著性水平自动标注 `*`、`**` 或 `***`，帮助用户快速判断相关性是否显著，适合用于科研图表、演示幻灯片或论文插图中。" + ] + }, + { + "cell_type": "markdown", + "id": "64c84957", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "## 快速出图" + ] + }, + { + "cell_type": "markdown", + "id": "a72fd98a", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "假如我们有两组样本数量一致的数据（每组包含 100 个样本），我们希望通过绘图直观展示它们之间是否存在相关性。\n", + "这通常可以通过点线相关图来实现，将每对样本值绘制为散点，并结合拟合线和相关系数，判断变量之间的相关程度及显著性。" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "9dc56c58", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "np.random.seed(42)\n", + "data1 = np.arange(100)\n", + "data2 = data1 + np.random.normal(1,50, 100)\n", + "# data2是在data1的基础上加上了噪声。\n", + "# 正经人都知道data1和data2相关，那么plotfig知不知道呢？\n", + "\n", + "ax = plot_correlation_figure(data1,data2)" + ] + }, + { + "cell_type": "markdown", + "id": "28c56bad", + "metadata": {}, + "source": [ + "## 参数设置" + ] + }, + { + "cell_type": "markdown", + "id": "8172c2ca", + "metadata": {}, + "source": [ + "全部参数见[`plot_correlation_figure`](../api/index.md/#plotfig.correlation)的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2c353b9e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "np.random.seed(42)\n", + "data1 = np.arange(100)\n", + "data2 = data1 + np.random.normal(1,50, 100)\n", + "# data2是在data1的基础上加上了噪声。\n", + "# 正经人都知道data1和data2相关，那么plotfig知不知道呢？\n", + "\n", + "fig, ax = plt.subplots(figsize=(3, 3))\n", + "ax = plot_correlation_figure(\n", + " data1,\n", + " data2,\n", + " stats_method=\"spearman\", # 仅有“spearman, pearson”，默认是spearman\n", + " ci=True, # 显示95%置信区间\n", + " dots_color=\"green\",\n", + " line_color=\"pink\",\n", + " title_name=\"Correlation between data1 and data2\",\n", + " title_fontsize=10,\n", + " title_pad=20, # 控制释标题和图的距离，默认是10\n", + " x_label_name=\"Data1\",\n", + " y_label_name=\"Data2\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "6057a8f3", + "metadata": {}, + "source": [ + "利用 `hexbin=True` 。我们可以展示大量散点分布的密度，而不需要绘制所有的散点。" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "cb4a1806", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "np.random.seed(42)\n", + "n = 100_000\n", + "data1 = np.random.standard_normal(n)\n", + "data2 = 2.0 + 3.0 * data1 + 4.0 * np.random.standard_normal(n)\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(7, 3), layout=\"constrained\")\n", + "ax1 = plot_correlation_figure(\n", + " data1,\n", + " data2,\n", + " ax=ax1\n", + ")\n", + "\n", + "hb = plot_correlation_figure(\n", + " data1,\n", + " data2,\n", + " ax=ax2,\n", + " hexbin=True,\n", + " hexbin_cmap=\"Reds\",\n", + " hexbin_gridsize=30\n", + ")\n", + "cb = fig.colorbar(hb, ax=ax2, label='counts')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/matrix.ipynb b/notebooks/matrix.ipynb new file mode 100644 index 0000000..da4ce2a --- /dev/null +++ b/notebooks/matrix.ipynb @@ -0,0 +1,151 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a78ea8e6", + "metadata": {}, + "source": [ + "# 矩阵图" + ] + }, + { + "cell_type": "markdown", + "id": "197aa252", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "矩阵图是一种用于展示多个变量之间成对关系的可视化方式，常见形式为一个对称的二维网格，其中每个单元格表示一对变量之间的统计关系。\n", + "它常用于探索数据集中多个变量之间的相关结构，是数据分析和科研绘图中的常用工具。\n", + "\n", + "`plot_matrix_figure` 支持自动生成矩阵图。" + ] + }, + { + "cell_type": "markdown", + "id": "fcbee95b", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "## 快速出图" + ] + }, + { + "cell_type": "markdown", + "id": "e557bdd4", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "我们可以生成一个 10 × 19 的矩阵图，用于展示 10 个元素与另 19 个元素之间的成对关系。" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4313e2ba", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from plotfig import *\n", + "\n", + "data = np.random.rand(10, 19)\n", + "\n", + "ax = plot_matrix_figure(data)" + ] + }, + { + "cell_type": "markdown", + "id": "e53726ad", + "metadata": {}, + "source": [ + "## 参数设置" + ] + }, + { + "cell_type": "markdown", + "id": "305be86e", + "metadata": {}, + "source": [ + "全部参数见[`plot_matrix_figure`](../api/index.md/#plotfig.matrix.plot_matrix_figure)的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "538f3afd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "data = np.random.rand(4,4)\n", + "\n", + "fig, ax = plt.subplots(figsize=(3,3))\n", + "ax = plot_matrix_figure(\n", + " data,\n", + " row_labels_name=[\"A\", \"B\", \"C\", \"D\"],\n", + " col_labels_name=[\"E\", \"F\", \"G\", \"H\"],\n", + " cmap=\"viridis\",\n", + " title_name=\"Matrix Figure\",\n", + " title_fontsize=10,\n", + " colorbar=True,\n", + " colorbar_label_name=\"Colorbar\",\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/multi_groups.ipynb b/notebooks/multi_groups.ipynb new file mode 100644 index 0000000..b8e037f --- /dev/null +++ b/notebooks/multi_groups.ipynb @@ -0,0 +1,227 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c5c71964", + "metadata": {}, + "source": [ + "# 多组柱状图" + ] + }, + { + "cell_type": "markdown", + "id": "162a9cb4", + "metadata": {}, + "source": [ + "## 快速出图" + ] + }, + { + "cell_type": "markdown", + "id": "e4a9dbb2", + "metadata": {}, + "source": [ + "我们采用了多组柱状图（multi-group bar chart）来展示数据的整体分布情况。\n", + "该图包含 两组数据（即两个主类别），每组中包含 三个子柱（bar），分别代表不同的子条件或变量。\n", + "在每个 bar 内部，绘制了 10 个样本点，反映个体水平的变异性或观测值。\n", + "\n", + "这种图形结构有助于同时比较：\n", + "\n", + "- 每组内不同条件之间的平均差异；\n", + "- 不同组之间的整体趋势；\n", + "- 每个条件下样本的离散情况或分布特征。\n", + "\n", + "为了增强信息表达，柱状图上还叠加了误差条（如标准差或准误），并使用散点图展示每个 bar 中的样本分布。" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cd707856", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AECKIAwAACCGCOAAAgBAiiAMAAAghWozkQM1AaQoKAACKgYgjSwretm/fnnR5HtZYBAAA+UYQlwVl3hTA7dy5s2nbu+++6y6iZXvIyAEAgHwi0shiyFS3lYFLRtt1v5YYAwAAyBeCuAyHTHv16uUCOd1ORtsV8AEAAOQTs1PTGDLVMKkW+NX1rl27rKGhIeVwqQI9hlIBAEC+EW2kkGrIVJm2Y8eOWVlZmQvmWtLkBiY2oC3MbAYA5IpvjRT05ZpqyHT//v1u8kKHDh2Szk7lyxitYWYzAMAPRBspKBDTl6s34zRRY2OjC+AUyJFNQSaY2QwA8AvfFikoIFN2JFkQp+1dunRxX7bMQkUmmNkMAPALQVwKCtA0vCUMmaIQw/TMbAYAZIJIpI1sHEOmKNQwPTObAQCZ4BujDQyZopDD9ExsAACkiyAOKCCG6QEAfuEbAygwhukBAH7gWwMoAobpAQC5YtktAACAECKIAwAACCGCOAAAgBAiiAMAAAghgjgAAIAQIogDAAAIIYI4AACAECKIAwAACCGCOAAAgBAiiAMAAAghgjgAAIAQYu3UFHbu3OkuqVRWVroLAABAMRDEpbBo0SKbP39+yvvnzp1r8+bNK+g+AQAAeEoaGxsbrQAOHjxo3bt3t/r6eisvL7cwZeLWrVtn06ZNs+rqaquqqnLbyMQBAIBiIhOXQrIgTQHcmDFjirZPAAAAHoI4AEBeHD9+3I4cOeKu27dvb127dnXXAPzBpwkA4DsFb9u3b7e3337b3nvvPTvttNPs9NNPt379+rlgDh8g2EW2+CsBAPhKwYgCuMQZ/u+++667yDnnnEOQ8j6CXeSCTxEAwPfAREFJMtqu+zXRLe4IdlG0Zr+LFy+2kpISe/bZZ3PeCQBAtIITZZWS0Xbdj/SCXaA1WYX4W7ZssUcffdQuuugi//cIABBqyh5pWNDLKCXS9rhkl9qqdSPYRa4y/iSdPHnSvva1r9lPfvIT+9a3vpXycQ0NDe6S2CcOABB9ClZU15UsiNP2ONR6pVPrRrCLXGX8F/LDH/7QPvaxj9kFF1zQ6uMWLFjQ6ooHAIBoUvChYEWSBTFRDU68zJvU1tbanj17rLS0NGWtG8EucpXRJ+m1116zJUuW2F/+8pc2Hztnzhy77bbbmmXi+vfvn91eAgBCRQGIgpW4tM7wMm+61r9z48aN7t+tFYoUwCab2BHXYBf+yegv5K9//aurhxsyZIi7vWvXLps5c6abWfP1r3+92WM7duzoLgCAeFIQEodZqImzTDt37mwnTpxwgdqxY8fc/RUVFU0ZuZa1bnELduGvjP5KFKglBmuXXHKJ3XLLLXb11Vf7vFsAAIRvlqkCOAVsnTp1ckHc0aNHXeCm26lq3eIS7CJALUYAAEDzWabedZ8+fVwbLgV1mhDoodYNfsopX/vCCy/4tycAAIRQy1mmyso1Nja6AK6urq6pTq6srMw6dOjgbldWVroLkAsG3QEAyEHLWaYaQq2urraf//znKX9n7ty5Nm/evALuJaKIIA4AWIQcOUg2y/Tzn/+8TZw40Xr37u0mBE6bNs0FdlVVVe5xZOHgB45QAGKPRciRq9ZmmWrGqiiAGzNmTLF3FRFCEAcg1tSU9V//+pft27fvlPt69uxpF154IT0ukRZmmaLQCOLSGFIBEF0//elP7f777095/+zZs+2+++4r6D4BQDoI4tIYUkm2JAqAaPjqV79qgwcPdm0gtm3bZj/4wQ/srrvusgEDBrh+XxdffHGxdxEAkiKIS9Jx2+OtdXfgwIGi7huA/FHd28iRI5udrCmAGzp0qKtl8grW0RwTQYDi4xOXpON2S4cOHSr4/gAoDBYhzxwTQYBgIIhL0nG7JW/9OwDRbg+xdetWd611n9UCgkXIMxu1EM3Q5D0DCoNlt1p03E5GHbYBRL89xMCBA91tXes2WaXMRi20XfcDKAyCuBZDKsloqRQA0T+R8z7ruiablPmohbbrfgCFwVGqlY7b2lZeXt60eDEHJwBx13Kd0ETaTvALFA6fthQdt7X2XUNDg6uHU/2H6Prcc89liAVAbDERBAgOgrgWvKny+/fvt127drmMnAI6UUd3BXIU7gKIq2SjFomzUzk2AoXDpy0JZeL27t2btO7DK9xlaRUAcaMZqd6sVJWX6AT3xIkTruSkvr7elZ/EKRNHrzwUG39tSVC4CwCnWrRokc2fPz/l/XPnzrV58+ZZHNArD0FAEJcEhbsAcKobb7zRJk2a5H5et26dTZs2zaqrq62qqsptU2+9OKBXHoKCv7IkdBbVq1evppq4RBTuAogrBWktAzUFcGPGjLE4SadXHiU3KASCuBQ1DgrUlBbX7FQtii09e/akcBe+1hWl+0UJIDgouUFQEI20UuPgNf/0ZmJR6wA/UFcEhBslNwiKWP+lJc4s0lqJCuA0hOrRrCv1ivPS5nww4QfqioBwo1cegiK2UUli1q2xsdENlW7evNnatWt3yhqqhw4dKtp+InqoKwLCjV55CIpY/qW1nFnUuXNn9yE8cOCAy8hVVFRYaekHy8qqLg4AgGQr/NAnDsUSy7+2ljOLNGyqoK1Tp04uPa6ATj97OnToUKQ9BQAElQI2ZqGimD5IN8V4ZpH3c58+fVzncW/Be48mNwAAAARJLDNxyWYWKTOn3nCqiVNQV1JS0lTjQCYOAAAETSSCOPVx0+L06VLNm2gmqiY1eLRe6ogRI1xdnAI8BXQK5t56662mmYT5pMkVAwYMyOtrAACAaGgfhQBu+PDhSad6pzJw4EDX5kEB3GuvveaycMq4ffjDH7bXX3/dlixZ4rZpVuru3bubfk+tIPJJEyzWr19PIAcAAKIfxCkDpwBu8uTJLpOVLgVo5557rp133nku26aArq6uzgVxLVs96DVqamoyfo1MeK+ha4I4ZNLjkFlxABBPkTnqK7jq27dvRr/z5ptvui8/DZ+qqa++FPVzqufJ5jWAfK8sktifiiajABAfkQnicvlC1AUIY49DUSbaKydQ3yoycihE5he5I6OOXPHXgoLgYJWfHoeJtF3307cKhcj8ZlKHHPdjXrJVf8ioww98iyLvOFjlr8dhIm3X/UAhMr9a4QbpHfO2bNnitnuBLxl1+IW/EuQVB6v89zj0aDvvJQqV+WVN6fSPeaq5FnU78DJ0ZNThh1iu2IDCSedghfQpc6ksZjLaTmYThcr8sqZ0doGvTsDIqMMvnLYjrzhY+UuZNg1DS7LhaTJxKFTml5Vssgt8dSGjDr/wl4K80sFIF52dak3a0tJSd5DyrjlYZU7ZNg1DM1EEhcr8Jgs2WFM6u8BXKwG19r6SUUcmOOqjIAe0/fv3u4BDB7BOnTpZeXm5VVZWcrDK4X2lZgbFzPySicsu8PVOuMioww/8pSBvFLSpkFcHLi11prVqjx496lbI6NGjh5155pkcrBC6VjZxa5eTKvNLPWtyyQI0NZGX3r17N/2tkFGHH/hrQd7o4LR37163pJmCNl28IVWdxetnIEytbOLaLofMb2ZaBmjesU7rYyfifUWuCOKQ9wLfEydOuCycvvA0nKrbuqSaZQkEsZUN7XJaF7cMZVsSAzTqB5Ev8f2EoeAFvokztnRGGucDPPxViL5b9PaKboZy27Zttm/fvrw9/7p165pd54vW9x4wYEBeXwPBwrco8oYZWIhSKxva5UQzQ6kAbvjw4QVZRmzatGl5fX6dHK9fv55ALkaC+8lC6DEDC4VSiL5b9PZKTu+H6l7DmqFUBk7/hsmTJ7tMVr5eo6ampiCvoWuCuPiI51EHBcMMrMxRWxTMrC+Z5eRU3xqFDKWCq759+4b+NRAvfDMg75iBFZ/aoihnfcksJ6fJSmQogeLg0wUEJIMW9tqiOGR9ySwnr8PSSRoZSqDw4nvkAQKWQWP2YziyvmSWmyNDCRQPny4gR35l0Jj9iLAiQwkUB58wIEd+ZdCY/YgwI0MJFF5pEV4TiBS/Mmje7MdkqC0CALSU8an9Zz/7WbeEkta/1FIiCxcutNGjR2f6NEBk+JVBo7YoOBR419fXMzQIINAyPir99re/bcoWLF261GbMmGGvvvpqPvYNCAU/+4dRWxQMqnFUA1vavAAIsoy/GRKHe3SmWlJSkvRxDQ0N7uI5ePBgtvsIBJrfGTRqi4rHG/pW1/uKigr3M21eAARVVkej6dOn25///Gf38+9///ukj1mwYIHNnz8/t70DQoIMWjS0tn4mbV4ABE1W3zBPPvmku37iiSds9uzZSQO5OXPm2G233dYsE9e/f/9c9hUBpvYaiS02WqqsrHSXKCODFo0lpFKhzQuAoMkpTXDttdfaTTfdZPv377cePXo0u69jx47ugnhYtGhRq5nXuXPn2rx58wq6T0A2S0ilQpsXAEGT0RFJwwnvvPNO0wK+zz77rAvevNoRxNeNN95okyZNcj+vW7fOpk2bZtXV1VZVVeW2RT0Lh+gsIZVKXNu85LqcHID8yeiTqIkMX/ziF13diFqM9OrVy5YtW5ZyckOQdevWzZ1Za/KFDlDITbLhUgVwY8aMKdo+AZnygpOePXu6gC7ubV5aW04OQPFldEQ666yzbNWqVRZmOgANHjy42Rm1DlQbN25M2XUfQLwoSBk2bFiss09tLSdHfSBQfLE6KimAGzVqlJtk8Z///McFbzo4KzjVdm0jkAPAJJW2l5M7evRowfcJQIyX3VIGTgGcmhPX1dW54QFd67a2634AQNvLybU2kxdAYcQmiFMNnLJuW7dudZ3YE+m2tuv+OBYuA0Cq5eSS0fbWZvICKIzYBHHewSjVJAZve6ZtURQcanZuquCvrfsBIMjLySWj7a3N5AVQGLGpifOGBXRgSjZE4AVZiUuF5TJBggkU8UVLBsRhOTlm9QPFF5tvlsOHD7uDjiYx6ICUOKSqFina7j0m1wkSW7ZssYEDBzKBIoZaa8lANhZhw3JyQLDF6pOoLJiCqPPOO8/VwCUGV+Xl5S64ynSChBcM6gtbX9x67gsuuMA2b96c8n79/ksvvZTXfyuC15KBxdMRRszUBYIrVt8oCqIUqCmIUjDnUQYu3eyYN0FCj082QWLv3r2uv9SOHTtSTqDQa+s5GI4Ivm3bttm+ffvS+qLT38aGDRvc31NLhw4dsg4dOrj7EvtraXWLxOtkz6sCcs0EzKUvl5rXDhgwIOvfBwAET6yCOFGgpiyYgihNYsh0xYa2Jkjoi/bkyZMpeyglTqAgiAt+ADd8+PCmTFprdGJw880323PPPeeWpmupS5cudtlll9nChQtdRrglLVOW6Oyzz7aJEyc2Ze/0d7Vp0yZbvny5G67PlIrQ169fTyAXI+megLR1vNPJiY5pOpHQCYVW69HJSFsnIH6J0gmIMpqcwMNPsQviPPoQZfNBamuChL5wdZDr1KmTG3LNdQIFikdfgArgJk+e7L5IWqPheAVcH//4x23//v2n3K81hnX/1Vdf3ezvQq9RU1PT7DV0ffHFF7svSg3L61pfpHpuBYIrV67M6MvZew1dR+XLEP6dgKSiE4mZM2e6n9esWdM0YWvkyJFu209+8pOkJyB+C/sJiN4zb5avTvaGDh3KJDf4JrZBXFs0/KWLeF+Y3rUCNX1pJ5sgofVkFaD17dvXDa3mMoECwaCgSv+fbdH/9YgRI5rVQnr/79qubIaCMV1ae42xY8e6zJuGZvU8yobohEG3VVM5btw4airh2wlIKuPHj3cnpC+//HKztZF1kqK632984xt299135/QaUT8B8SbBrV692t1WGY5GaZjkBr8QxKWgL8kVK1Y026aDiWf69Onu4JVsgsS///1vNzs11wkUiN/EmbZqLqmpRD5OQJL9Her39HeY7KRjz5497oQ1l9eIA28SnE7A5NixY26VICa5wS8EcSkoG6IJCqmceeaZLiOXaoKEt4xXthMoEM+JM5k0pY5jEOdHnVdrqPNK/+9QJSNxpwBX71Wy2mpOyFAIBHEplJWVuUsq+hC2NkEi1wkUCKdc/9/9bkodJX7UeaUr7nVe6f4dxlU6zdw5IUMhEMTleYJEthMoEG7Z/r/72ZQ6avyo80rnNVpONIljnVc6f4eadBNHbTV797LuiYFwMnE+IYN/COKAiDaljqpC1GBR59X236EaW8dRW83evTq3xEB47dq1zZ4j7idk8A9BHBDB2jog33+H3uz9OMm0zs0LhNVWRNTw+4wzzuCEDL4hiMtTUSuQC2oqEdS/Q2WRdNxTXV/cZFrn5gXCapIsXkDHCRn8QhCXp6JWWNMwQ319vZtar7NQdSz3DoRoGzWVCAL9DerzW1VV1XTcU6AirU0Ai5psJh7pO0HLMIq+IzQUy2cafiGIy1NRK/7XMFmd3mtra91SVFp6qn///m7lAq+DOYBwHvcOHDjg7hsyZIhrYBuH416uE490Qhv3mb3wV6nPzxerolY1bdTZmK512+sNh/9R4fNrr73WNFNL17qtNUCTncUCCM9xz1s+TgFLnI57yqapnk2TGFTfppEFXeu2tuv4BhQKQVwWRa0qXk1V1Kr7OdP6n127diV9n5SZ0xkpgHAf92Tnzp2xOu55dW5es3etc6xr1b0xEoNCYzg1AzRvzIyGWJLR0Kpq5NA2Js8g6Mc9r/lynI57TDxCUBDEZYBu+plJXJZHM9l05qqF3XXQU5E0UmPyDIKireOeN0s1jsc9Jh6h2AjiMkA3/cz06dPHBXKVlZXubF7vl96nHj16uFmqSI7JMwjLcU/0+ea4l3xil9dLz1vvN3Hd37aWdgTSQRCXIbrpp08zUbWs0JYtW9z7piHUXr16ucBOP8e91YiGSpMFs+l2hIf/w9Yq2kd6xz0d70THP4r5T6XP6IoVK5pt03JrnvHjx9uECROKsGeIEoK4DNFNP30K1lQvowO+Zm+Vlpa6bTob1XCqWo1oiDXOQ6UbNmxw20aMGOGuNdycSUd4+DtsHcfeZ9ke97y/3TfffJP3K4mxY8fasGHDUt7PewY/xO8b1AcUtaZHAZwCj2Sz1vQe6j2L27Bqy6FS74vwxIkTNnr0aNu2bZu7zeSZ/KP3WW7HPS/7piFDApJTMVyKQqDFSA68gz5fpskpMEnVD07blXWKe78tb5augjlt9xZdT9Wugckz/qH3WW7HPW9WKoDiIYhD3qhvUqq6N22P21BqOn0GNcys4FY1lpoEkojJM/6h9xmAKCCIQ96o9UCq5bW0PW5fkOn2GXzrrbfoCB+g3mdAJicHFRUVsTu2oXjilQpBQSnT1q9fP/ezt/SWvjwVwGl73DJx6fYZ3Lt3r3u/mDyTP/Q+g5/o64hiide3KApOBzXNQtUBTcOECty0LW4BXDZ9Bpk8kz/0PssMK4ekRl9HFFP8vklRcArY4jYLNd1+W8q6ydChQ5P2GaQjfP7Q+yy3DNOOHTuKum9BQV9HFBM1cUARF8/2hkvVQ48z9uIvZK7WIl7vs7j/X3gZJmXQ9T6tXLnSXeu2ttM+I73JSkyQQT6RiQOK2G9rz549btu6deua2ougcOh9ln2GSSuyxF26k5Xo64h8IRMHFIkO6vX19cXeDdD7LKsMkzf5I84SJ8gkQ19H5BtBHAAgqwxT3CVOkKGvI4qBIA4AkFWGCf+bIENfRxQLNXEAgIzb4WzevLmo+xi0CTL0dUQxEMQBANJqweL1P1OGafv27cXexcBOkEmnnx699+AHgrgY2rZtm+3bty9vz6+ZlonX+dKzZ08bMGBAXl8DiKu2MkyawQvLuK8jqzvATwRxMQzghg8fXpBZeNOmTcvr82t23Pr16wnkgABlmJAaqzvAbwRxMaMMnAK4yZMnu0xWvl6jpqamIK+ha4I4IL9YOcQfrO4AvxHExZSCq2yay2ZSx5HtawBAVHvvKduWqveesnF6DAEz0kUQh7RQxwEA2WN1B+QDfeKQ8xqKuh8AkBqrOyAfCOKQUR1HXV2dOxjpWre1XfcDAFJjdQfkA0Eccl5DUffTwR0AWsfqDvAbNXFoFXUcAOAPVneA3wjikFYdh+reNHR64sQJO3bsWNP91HEAQProvYeiBXFHjx61L33pS7Z27VrXaPVDH/qQPfLII9RERVj79u2toqLCnTVqKEBDqArsDhw44K6p4wCAzNF7D0WpiZs5c6a98cYbrqj9c5/7nH3ta1/zZUcQ3Fmpu3fvdoW3CuZ01tiuXTsXuI8dO5Y6DgAAwpCJ69Spk02cOLHp9kUXXWQPPvhg0sfqyz5xiE1DcQjvrNTu3bu728OGDXP3KaBTVu6FF16gjgOxxSLmAEJbE/fjH//YZeOSWbBggc2fPz+Xp0eAuou3rOPQcLqCusT6OCAuaH4NINRB3L333usOWM8//3zS++fMmWO33XZb021ldPr375/tyyEgs1K9Og7dry8xZqVm7tChQ+4iWvs18VrKysrcBcHEIuYAQh3EaQhVi4//6U9/si5duiR9jL7cdUH4u4t7PydiVmr2lNFcsWJFs236PHnGjx9vEyZMKMKeIR0sYg4gtEHcD3/4Q/vNb37jAjiWW4pHd3F9OSU2+qW7eG40IcSrLUyGLFxwsYg5gNAGcdu3b7dvfetbNmjQoKZMgbJt//znP/O1fygiDZfrC0nZBX05JQ4baVaqvsiQeRG83kMCtXCi+TWA0AZx/fr1O+XsE9FFd3F/UAQfHZQZAAgSVmxAq+gunhuK4KOFMgMAoW72i3jSl5JWaeDLKfsi+Lq6Ope90bVuazurnYQPi5gDCAoycUCeUAQf3ca+cS0zoD0OECwEcUCeUAQf/ZpGNbuOU5kB7XGAYCGIA/KEIvh41DSqzCAuaI8DBAtBHJAnFMGHH419m2O4FAgWJjYAeUQRfPhrGlW7mKqmUfcnDrMCQCGRiQPyiF574UVNI4CgI4gD8oxee+FETSOAoCOIAwpEgRvBW7RqGr3ZqcL/LYBCI4gDgAzXD66qqnLLEKpx88iRI91jWUoNQKERxAFABjWNnTp1cjM0N2/e7II2llIDUCwEcQCQQU3j8OHDbffu3bQdAVB0tBgBgDQo46ZgrUOHDrQdARAIBHHIuZdWRUUFX1qIhUzajgBAvjGcCt/Xk9yxY0dR9y2MC6ozszEcaDsCIEgI4uD7epK1tbXF3sXQBsAUxAcbS6kBCBKGU5HTepJqsaCMhK51W9v79+9f7F0MfAB8/PhxFwCvXLnSXeu2tut+BBtLqQEICjJxyGo9SQUeqQq7O3fuXLT9CzoWVA8/llJLjvIAoPAI4uB7Ybf6aCG7AFhBgR7Dl2CwsZTaBygPAIqHIA55KezGqVhQPZgOHTrkLrJv375m16LGvrokE/el1Nqqj41zZhIoBII4+F7YrU72OBUzG4NJGbUVK1Y021ZTU9P08/jx423ChAlF2LPgozwAKC6COPi2nqQCOBV2b9++vdi7GEjMbAymsWPH2rBhw1LenyoLF3eUBwDFRxAH3wu7vaEpZB4A6/1DYbU2XIrUKA8Aio8gDlmhsDs7zGxEVFAeABQfQRxyEvfC7mwQACMKKA8Aio8gDkWf4RdXBMAIO8oDgOIiiIMvmOEHxA/lAUBxEcTBF8zwA+KJ8gCgeAji4AuGS4F4ozwAKLzSIrwmAAAAckQQBwAAEEIEcQAAACFETRyyWm5H3dopYAYAoHgI4pC2008/3bUS8Dqxi4I49YqilQAAAIVFEIe0Azj1gTp48KDr/5TY1FPb6QkFRB9ZeCBYCOKQFmXgFMC9+uqrTcvraL1EBW7q1q771SsKQPSQhQeCiYkNSOvsWwdvLauTuD6i6La26/7EAzyAaGXhjx8/7jLuK1eudNe6re26H0BxEMShTRo+kVTDJ952dWsHEN0sfF1dncvA61q3tV33AygOgji0SQdtSZVp87arTgZAdJCFB4KNIA5t0mLWyrZpEkNJSUmz+3Rb273HAIgOsvBAsBHEIS0qYC4vL3eTGM444wx3cNe1bmv7pk2bir2LAHxGFh4INmanIi2agaZiZtW/qJjZowwc7UWA6Gfh9RlPHFIlCw8UH0Ec0qaDuNqI6Oxbwyf0igLikYXXiZuy7qqBS+wRqSy8TuIAFAdBHDKmg3iy4I1GoED0kIUHgosgDjmjESgQbWThgWAiiENOWI4LiI9UWXgAxcHsVOSERqCIKpUHVFRU0AMNQGCRiUPOjUCVbUvVCFTZOD2Gs3eEBeUBAMKCTByyRiNQRA3rhAIIE4I4ZI1GoIgaygMARDaIu/nmm23gwIGuyeMrr7ySv71CKLAcF6KEdUIBRDqI+8IXvmB/+9vf3JczICzHhaigPABApCc2/N///V/aj9UQWuIwmoYiED00AkUUywO8nxNRHgAgNrNTFyxYYPPnz8/X0yNAaASKKGCdUABhk7eJDXPmzLH6+vqmS21tbb5eCgGhL7cDBw7wJYfQojwAQJjkLROnjAy1IwDChPIAAGFCs18ASEB5AIBIDqfeeOON1q9fP9u+fbtdeuml9EwCEFmUBwCIVCZu0aJF+dsTAAAApI0VGwAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAABCiCAOAAAghAjiAAAAQoggDgAAIIQI4gAAAEKIIA4AACCECOIAAADiEMS9+eabNm7cOBs6dKhdeOGF9vrrr+dnzwAAAOBfEHfjjTfazJkzbcOGDTZ79mybMWNGpk8BAACAHLXP5MF79uyxl156yf74xz+621OmTLFZs2bZxo0bbfDgwc0e29DQ4C6egwcPWj7t27fPwqzQ+8/7FczXyoew73/U/j387aaP9yo++48CBHG1tbVWWVlp7dv/79dKSkpswIABtm3btlOCuAULFtj8+fMt33r27GmdO3e2mpoaCzv9O/TvySfer/TxXgUL/x/p471KH+8VwqyksbGxMd0Hv/zyy/aVr3zF3njjjaZtH/nIR+y+++6zT37yk21m4vr372/19fVWXl5uflIQGYWzEH34FBTnG+9X+nivgoX/j/TxXqWP9wqxCOI0nKqM24EDB1w2Tr+qzNzf/va3UzJxLSmI6969e16COAAAgLjJaGLDhz70IRszZoxVV1e720uWLLF+/fq1GcABAACgiJk40VCqZqTu37/fZdQWL15sI0eObPP3yMQBAAAUMYjLFkEcAACAf1ixAQAAIOotRnLhJfzy3S8OAAD4r6yszLUWQwyDuEOHDrlrtRkBAADhQjlUjGviTp48aTt27CCSjwGvJ6CaQ/OBB6KJz3n88P0d40xcaWmpa0eC+NCBnYM7EG18zoHiYWIDAABACBHEAQAAhBBBHHzXsWNHmzt3rrsGEE18zoEYTWwAAACAf8jEAQAAhBBBHAAAQAgRxAEAAIQQQRwAAEAIEcTF3LFjx2z+/Pk2fPhwO/fcc2306NF29dVX2yuvvFK0fVq+fLldcMEFbtbbLbfcUrT9AKIkiJ/1hQsX2oc//GEbOXKkjRo1yqqrq4u2L0AYFWzFBgTTddddZ4cPH7aVK1faGWec4bb96U9/sjfeeMPOP//8Ux5/4sQJa9euXV73aciQIfaLX/zCnnnmGbdvAKL5WVcw+fe//926d+/ulu9SYHnxxRfbOeeck9fXBaKCTFyMvfnmm7Z06VIXMHkHdfn0pz9t11xzjfv58ccftwkTJtiUKVPc2fKqVavsD3/4g40ZM8adOY8fP97Wrl3rHvvCCy80+zJ47bXXbODAge7nLVu22Omnn2633367+z0dvPUFkszQoUPtvPPOs/btOccAovxZ/9SnPuUCONE6rH369HHBHID08C0ZY6tXr7bBgwdbRUVFq4/75z//6R47bNgw27Nnj1VVVbmDuA70v/rVr+wLX/iCvf76622+Xn19vfvdBx980P7xj3/YpEmTbNOmTW5RZQDx/qwr0Kurq7MLL7wwq38jEEdk4tBEB1mdXesArqEXz7hx49w27yCvA7ouMnXqVNuxY4e99dZbbT6/MmszZsxwP1900UXWt29f94UBIN6f9TVr1rj9ePrpp61r164+/AuBeCCIizHVn2zcuNGd/YrqUFTkPGfOnKZt0q1bt7SeTwdu1dF4jh492ubvlJSUZLXvAKLxWdcQ7ZVXXumGej/+8Y+n9foA/ocgLsY0geBzn/ucXX/99fb22283bT9y5EjK39FZtc6aVQMjTz31lJ155pnuMmjQINu6davt3bvX3ffLX/6y2e8eP368aZvqbXRWn6ygGkA8Puvr1q2ziRMn2s9+9jP7zGc+49u/F4gLauJiTsXMP/jBD+yjH/2oO7tW0XOvXr1s9uzZSR+v+1QbM336dHeg1uM1i1Rn2RoyueOOO+wjH/mI9e7d2y6//PJmv6sCZn0haNKCfvfXv/510hqZ559/3q699lo7ePCgaWnf3/3ud/bwww+7uhoA0fms33zzza5+Tvvg7cf9999vl156aZ7eBSBaShr1LQnkmWas6Uw8MQsAIHr4rAOFw3AqAABACJGJAwAACCEycQAAACFEEAcAABBCBHEAAAAhRBAHAAAQQgRxAAAAIUQQBwAAEEIEcQAAACFEEAcAAGDh8//DLtoLAZmHcAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from plotfig import *\n", + "\n", + "np.random.seed(42)\n", + "group1_bar1 = np.random.normal(3, 1, 10)\n", + "group1_bar2 = np.random.normal(3, 1, 10)\n", + "group1_bar3 = np.random.normal(3, 1, 10)\n", + "group2_bar1 = np.random.normal(3, 1, 10)\n", + "group2_bar2 = np.random.normal(3, 1, 10)\n", + "group2_bar3 = np.random.normal(3, 1, 10)\n", + "\n", + "ax = plot_multi_group_bar_figure([[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]])" + ] + }, + { + "cell_type": "markdown", + "id": "974ae52d", + "metadata": {}, + "source": [ + "## 图的美化" + ] + }, + { + "cell_type": "markdown", + "id": "a806eec1", + "metadata": {}, + "source": [ + "与单组柱状图类似，多组柱状图也提供了大量可调节的参数，用于灵活控制图像的外观。 \n", + "本节仅展示其中的一部分参数。\n", + "\n", + "完整参数列表请参见 [`plot_multi_group_bar_figure`](../api/index.md/#plotfig.bar.plot_multi_group_bar_figure) 的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b5269aa2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "np.random.seed(42)\n", + "group1_bar1 = np.random.normal(3, 1, 10)\n", + "group1_bar2 = np.random.normal(3, 1, 10)\n", + "group1_bar3 = np.random.normal(3, 1, 10)\n", + "group2_bar1 = np.random.normal(3, 1, 10)\n", + "group2_bar2 = np.random.normal(3, 1, 10)\n", + "group2_bar3 = np.random.normal(3, 1, 10)\n", + "\n", + "fig, ax = plt.subplots(figsize=(6, 3))\n", + "ax = plot_multi_group_bar_figure(\n", + " [[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]],\n", + " ax=ax,\n", + " group_labels=[\"A\", \"B\"],\n", + " bar_labels=[\"D\", \"E\", \"F\"],\n", + " bar_width=0.2,\n", + " bar_gap=0.05,\n", + " bar_color=[\"tab:blue\", \"tab:orange\", \"tab:green\"],\n", + " errorbar_type=\"sd\",\n", + " dots_color=\"pink\",\n", + " dots_size=15,\n", + " title_name=\"Title name\",\n", + " title_fontsize=15,\n", + " y_label_name=\"Y label name\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "22ce25e4", + "metadata": {}, + "source": [ + "## 统计" + ] + }, + { + "cell_type": "markdown", + "id": "475181fc", + "metadata": {}, + "source": [ + "多组柱状图目前仅支持通过外部统计检验传入 p 值，并在组内相应位置标注星号。\n", + "\n", + "关于“外部统计检验”的详细说明，请参见：[单组柱状图 / 统计](./single_group.md/#_7)。" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "88914fc6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "np.random.seed(42)\n", + "group1_bar1 = np.random.normal(3, 1, 10)\n", + "group1_bar2 = np.random.normal(3, 1, 10)\n", + "group1_bar3 = np.random.normal(3, 1, 10)\n", + "group2_bar1 = np.random.normal(3, 1, 10)\n", + "group2_bar2 = np.random.normal(3, 1, 10)\n", + "group2_bar3 = np.random.normal(3, 1, 10)\n", + "\n", + "fig, ax = plt.subplots(figsize=(6, 3))\n", + "ax = plot_multi_group_bar_figure(\n", + " [[group1_bar1, group1_bar2, group1_bar3], [group2_bar1, group2_bar2, group2_bar3]],\n", + " ax=ax,\n", + " group_labels=[\"A\", \"B\"],\n", + " bar_labels=[\"D\", \"E\", \"F\"],\n", + " bar_width=0.2,\n", + " bar_gap=0.05,\n", + " bar_color=[\"tab:blue\", \"tab:orange\", \"tab:green\"],\n", + " errorbar_type=\"se\",\n", + " dots_color=\"pink\",\n", + " dots_size=15,\n", + " title_name=\"Title name\",\n", + " title_fontsize=15,\n", + " y_label_name=\"Y label name\",\n", + " statistic=True,\n", + " test_method=\"external\",\n", + " p_list=[[0.05, 0.01, 0.001], [0.001, 0.01, 0.05]]\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/single_group.ipynb b/notebooks/single_group.ipynb new file mode 100644 index 0000000..985967b --- /dev/null +++ b/notebooks/single_group.ipynb @@ -0,0 +1,1008 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8bc94164", + "metadata": {}, + "source": [ + "# 单组柱状图" + ] + }, + { + "cell_type": "markdown", + "id": "db218903", + "metadata": {}, + "source": [ + "## 快速出图" + ] + }, + { + "cell_type": "markdown", + "id": "3d5bdc39", + "metadata": {}, + "source": [ + "柱状图（bar chart）是一种常用的图形工具，用于展示不同类别之间的数值对比。\n", + "它通过一组垂直或水平的矩形条来表示各类别的值，条的高度（或长度）对应数据的大小。\n", + "柱状图直观、清晰，适合用于比较组间的均值，尤其适用于离散类别数据的可视化。\n", + "在科研和数据分析中，柱状图常用于呈现实验组与对照组之间的差异。\n", + "`plotfig` 基于强大的 `matplotlib` 开发，简化了画图流程，使得多组数据的对比更加直观。\n", + "\n", + "例如，我们有3组数据 （分别有9个样本、10个样本、11个样本）通过柱状图展示它们之间的差异。" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f29139ae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from plotfig import *\n", + "\n", + "data1 = np.random.normal(1, 1, 9)\n", + "data2 = np.random.normal(2, 1, 10)\n", + "data3 = np.random.normal(3, 1, 11)\n", + "\n", + "ax = plot_one_group_bar_figure([data1, data2, data3])" + ] + }, + { + "cell_type": "markdown", + "id": "83a7e001", + "metadata": {}, + "source": [ + "## 多子图" + ] + }, + { + "cell_type": "markdown", + "id": "2a386d9e", + "metadata": {}, + "source": [ + "借助 `matplotlib`，我们可以在外部预先创建 `figure` 和 `axes`，从而灵活绘制多个子图，实现更复杂的图形布局。\n", + "关于更高级的子图排版方式，详见[matplotlib中的教程](https://matplotlib.org/stable/users/explain/axes/mosaic.html)。" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4f6be434", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "ax1_bar1 = np.random.normal(0, 1, 7)\n", + "ax1_bar2 = np.random.normal(0, 1, 8)\n", + "ax2_bar1 = np.random.normal(0, 1, 9)\n", + "ax2_bar2 = np.random.normal(0, 1, 10)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust()\n", + "\n", + "ax1 = plot_one_group_bar_figure([ax1_bar1, ax1_bar2], ax=axes.flatten()[0])\n", + "ax2 = plot_one_group_bar_figure([ax2_bar1, ax2_bar2], ax=axes.flatten()[1])" + ] + }, + { + "cell_type": "markdown", + "id": "4c3d1d9e", + "metadata": {}, + "source": [ + "更多 `axes` 。" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "68633b46", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "ax1_bar1 = np.random.normal(3, 1, 7)\n", + "ax1_bar2 = np.random.normal(3, 1, 8)\n", + "ax2_bar1 = np.random.normal(3, 1, 9)\n", + "ax2_bar2 = np.random.normal(3, 1, 10)\n", + "ax3_bar1 = np.random.normal(3, 1, 9)\n", + "ax3_bar2 = np.random.normal(3, 1, 10)\n", + "ax4_bar1 = np.random.normal(3, 1, 9)\n", + "ax4_bar2 = np.random.normal(3, 1, 10)\n", + "\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(6, 6))\n", + "fig.subplots_adjust(wspace=0.5, hspace=0.5)\n", + "ax1 = plot_one_group_bar_figure([ax1_bar1, ax1_bar2], ax=axes[0,0], labels_name=[\"A\", \"B\"])\n", + "ax2 = plot_one_group_bar_figure([ax2_bar1, ax2_bar2], ax=axes[0,1], labels_name=[\"C\", \"D\"])\n", + "ax3 = plot_one_group_bar_figure([ax3_bar1, ax3_bar2], ax=axes[1,0], labels_name=[\"E\", \"F\"])\n", + "ax4 = plot_one_group_bar_figure([ax4_bar1, ax4_bar2], ax=axes[1,1], labels_name=[\"G\", \"H\"])" + ] + }, + { + "cell_type": "markdown", + "id": "c14e9964", + "metadata": {}, + "source": [ + "## 图的美化" + ] + }, + { + "cell_type": "markdown", + "id": "3e5ef6ed", + "metadata": {}, + "source": [ + "### 参数设置" + ] + }, + { + "cell_type": "markdown", + "id": "863294df", + "metadata": {}, + "source": [ + "我们可以在外部创建 `fig` 对象，以便灵活控制图像大小。\n", + "`plotfig` 提供了丰富的选项用于自定义图形样式。\n", + "下面展示的是 `plot_one_group_bar_figure` 函数中部分常用参数的示例用法。\n", + "\n", + "完整参数说明请参阅 [`plot_one_group_bar_figure`](../api/index.md/#plotfig.bar.plot_one_group_bar_figure) 的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9fd5fd71", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "data1 = np.random.normal(7, 1, 10)\n", + "data2 = np.random.normal(8, 1, 9)\n", + "\n", + "fig, ax = plt.subplots(figsize=(3, 3))\n", + "ax = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=ax,\n", + " labels_name=[\"A\", \"B\"],\n", + " x_label_name=\"x\",\n", + " y_label_name=\"y\",\n", + " title_name=\"Title name\",\n", + " title_fontsize=15,\n", + " width=0.5,\n", + " dots_size=15,\n", + " colors=[\"#4573a5\", \"orange\"],\n", + " color_alpha=0.7,\n", + " errorbar_type=\"sd\",\n", + " edgecolor=\"r\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "02763824", + "metadata": {}, + "source": [ + "`plot_one_group_bar_figure` 支持将柱状图绘制为渐变色样式，适用于展示不同对象之间的关联结果。\n", + "\n", + "例如，当我们计算了“人-黑猩猩、人-猕猴、黑猩猩-猕猴”之间的同源脑区（共 20 个）结构连接的 Spearman 相关性时，可以考虑使用这种方式进行可视化展示。\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ef8aa079", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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wPuMTbULA60CGAuHxxx+v0p+JPQ8EoDPOOEP+/Oc/Sy6ZORCitYhl55JtjIwxI1TxLly4UE22xX6Ojz76qFpEF9gSNB/0IPC+Y0ktfIzxmcQFlEGwcGD3iA8++EAFwXjIumH3CATDdDJw8T1CXCt4HchSsQw2yzVWO08s3njxxRfTfTlKMyWWqoWICyBOcKwqYSx9h5P/kEMOmeGjpJmCSdHG8liwv4WaKf+g4Z4YBOOLnjDun06vMFmg43Ugg4HwzTffHLOcGtaqi++pPPPMMyzZzjJc5BDw0AtI3FMM6RSsEsFiGetJd+NWyh/JOhUGZHiSLaxNOQyEq1evVhdi3JAeTYQB3nvuuSfTx0cJkPaNXzQXLUf0CtByTFUogw8U3jdszklE+QMFbvhcJpsKg56gFfcGzIVJ/5WxszEuuhiI/8c//qFWNYhvkWLeEi+02YceH1JhCIhGrxAfmGTrBeJx7E+GMSQ8hkpDFFNwCS5zYsVg4UEdg1EBHA/XVFxj2dvPs0CIZZuAXfXcQ1BD4Nvfaj4IgugNGvVQSKmiwYKCGm5mbD73338/KwYLDDJpuLYi4KHAD9dX3IcgiKEOmhlT7ndjnBC7UCTmuLFXIeUHfLCQMjXgQ9bZ2alaoPH3kzl85StfiX3+UlUMUv7Brj1o1CKDg88oGqmZbKjidTGUgoJGZIPw72E4haYRCDF36TOf+Yy89dZbqmdi9DaMtFyyXDfNrIk25sQHDbsVoGfICkNzYcVg4cKwUramvaDDgusyPvvGLhWoM8AwCY1Ku8Tw8ssvV6k19CzQinnnnXfUrvTYlBdTK4iIKH8axJiraAxp4StqBjCBHzuY0BR7hC+//LKaNG+U6uN29NFHy/r16+Wyyy5Tu9dTbk20NBNanmgJsjdIZG6JU6ziITii6py1AlPsEaKLbexEj2DY1tamvseAL1ZIoPyB6RTxAQ+NFqREjWkWGDPApF3c2DokMpeJChuNVClNsUd40EEHyRtvvKHSo4cffrh873vfUxVPDzzwgJpaQfkDCxyggWJMn0BPEIUy6DFifUNjLiJg8BzjS5yUT2QOE029QNEMe4PTCITXXXdd7OJ50003yWmnnSbHHHOMWvHkscceS/flKItQht3Q0KDmHcZPqEexzM6dO8ekTlD9i14hgiSCJREVNmO+cGLDFtcBNHhZOTqNQPiJT3wi9j12wn7//ffVhRUXT447ZR6CFRoeRlk1Tt50V5uIf76xqWuy8QNs7YT3MjGlSkSFxwiAyAzh+ozGLnqJ6LRgiISZnw9lZP0eluFmHqalIGChugsL8yKAoYWHlhx6eVNNa2BsAGODqSBA4jlc2onIHDBnePny5WpxDfQGubLUNHaonyzuUJ8Z6AVi/g+CYHyQQmBEq66xsXFKr4sPwkRjBwiwbCkSmUumJ+lbdod6mlkIgChxTmSkNrEE01RadghySI0gBZpYKYrXw2MMhERkJZMKhA8//HD2j4TGQD4/1Z7JmCg7nRV8MF6AHiUqR43CJ6xqMdEOFkREZjWlgSDkmrGKzLZt2+Tss89W8woxnxBL93B37MxVfKJnlmyuD1IcE02an0x6FAPoCHpIt6IwBv9esh0siIjMLu1AuGvXLvnkJz+pxq+QWjvppJNUILztttvUz/fdd192jtRi8DdFoEIKMx6KWFAwM93tWRDw0Ghhw4WIrG5Ka41iXVGsRoJehAELcT/33HOZPj7LQu8Mk+FR5oy/MwIfxmpxX/xekETxmZqJFlwnogz1CF988UXZsGHDuB5JU1OTqmikzEHgQ0DE/D5jHiGCItOXFA/TYZA5wA3jykbKm4iyFAhxQU5WqIFNYI01SClzMBbIql2aKAhilSAUPsVvwIyfiTIluu+6j/oCM1aVp/0/Ovnkk+Wuu+6K/Yzeic/nU7tfn3rqqZk+PiLaz+bL2BItscIY90OqymOiyQS/oaGhWMMKDa6tW7eqn822YHfaPcLbb79dFcusWLFCtUZRNbplyxZVwPGLX/wiO0dJGYcT2ZhHyEn0hQlBDunQiS5KGDckmmialtfrjS3cgewTMnu4tiP4tbe3q8ewtCPqFXCubd68WdUqYJF+swzTpB0IMf8Mu09ggW18RW9w7dq1cs4554wpnqH8hRO/q6tL9RpwMUXlaPz2TFQ4zHIhotwEQVT/7927N1ZkhUU1EOSQZcCtu7tbNZhxvUCBJJZqQ+U6fgfXC9QwWC4Q4o+FP8TTTz+tAh9uVFiQ6kCKA+kNA1p8aNBgEXXMBaXCCYJYHAEXqVQLLExnvimZG7IJ6PFF4s4dZIcQ/DAvHOdXfBUyGs54DNk/Y+F+swTCtPJh+FBNtGAz5T/sTZg4N9EIhjjJOaZUWNAqx4pA8altXMDYu6eJIGWOYJbYgHI6nbGGcbJsA7JJZhxGSft/9B//8R9q8jzHHgoPgpyRDk0GJznnoRUWtOCRylq6dKlKb2OOKXr2WDmIKBVcA5KNLeu6rqbG4SsCXuI0OSPDgDFDs/QGpzRG+Oqrr6qJ888++6ysXLly3OaO3H0if6u/jAnXSGngBDc26jXgxOeYU2EGQ2y+jECICxjeV06foIlgnA9FMfFDJIDrBApmkHJH0EP9AK4buOH6gLQozjGcb2bazintQIiUy5lnnpmdo6GsBEFcFJHzxwmMVhx6frhY4oQ39h00dqXgmFLhMmPKirIDDV583lEAM7Bvqg1g6AvVoEuWLIlNy8G1AtcRpOARAFEUiVoCMzWa0wqEaBV8/OMfV3MJ8Qeh/IdcPxY7QEsPJy5agQsXLpQdO3bEWn8Ifkip4YNBhQWfSbzHqOxDIESGhtXbNBm4FjQ3N6uAZ2z5hgCH3iDOI3zF/QiC+Bk3ZB/MFACnFAjRe/jqV78q7733XvaOiDIKrT1jqyW07lBhiPQG0tq4eCL1gV4+PgDTXcibZhbev5aWFlXkhJY8AiHeR4wPplv0hOfjoodiKqMaEOcFzg8zXvhIxswbDCSZU4zHrLKqVdqp0Y9+9KPy+uuvqwF6yn+JxS/oQXR0dKheQ3V1tTQ0NJgq128VCFxGytsoesBXBDJ8TXetUTSQMKcMvUsDgio+58wUmJvNZhuTRTDOH6NwxgoN5LQD4aWXXipXXHGFSretWbNmXLHMqlWrMnl8NE14f5Lta4gTHRNqEwtmqDCgBZ9qVRn07NKZ5oRzAQE1PggCyuhxP3qF6CmQ+fl8PtVQRiYJ5xYCJIqwkEUy8xh02oHwC1/4gvp62WWXxe5D6gStB3ydzs7plHlGzj+xOgwXNowLsjimMOFzlmqqCz6L6UyDwe4miUEwPqjicQZC6yzg3t3dHbsPwyrGnEIzb/+WdiBEkQUVDrTosEUWLmTJWnlUmDBej/fUGP+Nh15+OoEr1Zwy4zEusmANAwMDqoo0WYBE6hxjxmZtOKcdCDk2WHgwGI7ih/i8P1v4hc3o0SdbBAEXLKMKcLKvhfMDLX8ERKTM8RWpMJw7HEO2hqGhoZQZPVw7cJ4xEMbZtm2b2orJqB7FThTYuX7RokWZPj7KEPQSMNZD5oFAiAsXUlm4UOE9Rip87ty5arucyTJ2FsCYIMYd0QPA6+J+ZBPMPDZEHzLmFCdj1n0IpxwI//jHP8rpp58uq1evlqOOOkrd97e//U0OPPBAeeqpp+Skk07KxnESUZILF6p+UdVpzCNEz26iC1oy+D1MljYKbPAV6XNjTAiFcZh7ysIqc6uoqFDnD8aEky3ubuYsUtqB8JprrpFvfvObcuutt467/+qrr2YgJJphCFpIZSIdit4hUpnJxg4nYlQRozeJC59RQo8iK2NMmTuTmFtZWZlqWO3Zsyd2/iAViloCvP9mnk+adiBEOvTxxx8fd/+FF144Zud6IpoZKHDYtWuXSm0igOGChV5cOjD+k2o6BgIkF9k3P5vNplYMwxAKxouRHkcPEQHS7HMJ0w6ESJds2rRJrUUXD/eh1UBEMwdBCi14TKQ3oCDKaNEbK4bsD1r+uCV7Pi6C6aZbqTDZ9q1OZLXef9pn97//+7/LxRdfLNu3b5cjjzwyNkaIrZm+9a1vZeMYiWgKcwBhsivMoDAG1aaJu1YY40OJC2cQWToQfvvb31Zd5R/84Aeybt06dR/GFW644YYxk+yJKPvQ+0MKy1hwGwUtxs/G45OB3mBjY6MKfOhdIlWKniCCINYuZaEMmVnagRAfFBTL4GbMVUJgzCQM0J9wwgljWr3ogWKVdKyPSUSjEKyM6k6kSVHxiWIZY33QdOZ9YWwIU6DwecOYINKhuI9BkMxuSivL4EOCMcL4ALhlyxb1ocO8o+nChxhjjobbb79d/vrXvzIIEiVAMQNu7777rkprojeIAIbCGePxdOAzbJUdB4gMac+QvOCCC2TDhg3j7v/73/+uHsuGBx98UNauXZv0MQzu40MffyOyCvQCkUHB58DYKQCB0Ch64dq/RPuXdiDEFkzGRPp4RxxxxJheXKYg6KI8/LTTTkv6+Pr162P7ZuGGcQ4iq0B1KG7IzmC+F9Kk+GoUt6SzCwWRVU1pjDDZOoZYsDUbrU/0Bs8777yU5dso2ImvVkWPkMGQrALz/ozPHcbyEsfzUi2mTem7++67VRGScTOWHUv1dTLPmcpzJ/s7xnkRDkfFHwhJKIJzJbrvqy7hSFTdQuFI7Puwuj8ioXBUwtGo+t1IVFfPwe99+Lyxz41E8TofPjf+eanuNx5LvA/Pffb2s/O7R3jssceqXlh80MP3uO/oo4/O6MGhLByT9zFZPxUs+2PMe7Hi/BeyNpz/Ey2KbdZFkoly2iPEfEEEw2XLlskxxxyj7nvxxRdVT+zPf/5zRg/usccek4MPPliWL1+e0dclMgukQFFchvmC8b0/Y/oEd44wN7zPyJahgNGY8sL3fAYCIXaaePPNN+Xee++VN954Q61DiNTl1772tYxXdSItign8lJyxnJaZ1wCk/V8IMc8PPT8UzRhb5eA+43EyJ6Q/cQ3YvXu3mvuJ71EljBW+sIg6Td6U1k3CBPpbbrlFsi1ZdSqNjoOigAipY7QA0QDBqiCc72Xd9CjGxVEoY8z/49ig+aGRgzVmOzo6Yg1iVAujeIqN4/RwAcECg4WRd+7cOWaaCHYcwIUQDRT2AKyLKTHrQGMHCx/gs58IWQHcj6k1NDm8ahYQnOBo/SXOlUQrsL29Pe2td4ioMKHBi6kxuCYkY2yuTJPDQFhAcHKnWmAZrUMGQiJrwBqyGAtOlQFCj5HZocnjX6rATv5UiyhP9BgRmQvGglEYk2w5PIwPom7AzDvKZxrHCCeh9funiNjsotkcInaH+qrZ8b0z7j67aHZnwuOj36uv6rn2fb8z9rnjfgeP7XvO6O/gcac4S2qlSAuLz9cjotlxxo8+rmlSXFImxW6nRIN+0SPh2IcFN6RIjF0KAGMH+B43Y0I2vsZ/v7+v2XgujpE7mMwc/L0x7cJYfQYXVo4zFs57h+I41Aag54cFTXAfgh9WFkLVKOoJKEuBEAv7XnnllfLcc8+p3SASeyHMS2ePPRpUO0j7h7Gs1nDsfofTKbPmzJYSj0dCEV36+gdiC6TjA4EpLkipYmwRCw6gFYnUCd8r68J7j88ybkaVIXaamDNnjqo+ZdVh/sP4IN4zbIBgzCNFQwZzS7mQQpYDIRbWxrwV7EuIDw0/MDNHDw5LVUmlOJYuk56+fnUBc7qKpLauVqoqKyWq69La1iY7d+1Sz8cUi40bN6oPS0NDgwqEKLZB2gS7hBjzkMh60FtA6X38jvQ4X5AtQK+CO1AUBmR8jF3ljWXXeE2egUD40ksvqZVkVq9ePYV/jqZLH/FJmcsj5Q2zJRzVxK4GxTGHSJd+35B0tLdLJDyaGsVFDevC4gKHYIiLG4pqMPEaaTBMuk5VdUbm7g0aO1YkQuMK5wsDYWExGrRcYGOGimWQk2ZRRo5FQiJBvziiAbFFgiIYE7TZVI8vGPzw4oYghxYjYF4RJt9ne5F0yg28l2j04H3d344TOCeSBUEDGkv8jBceY8HtqQRCTawt7R7hXXfdJddcc43cf//9GdmElzKHFy9rQgOora1NfUXPAGPCXV1dE14w4xtFifD77FUUDmOtUTSCkAXC+zfZzQfcTru4HZpEwkHRxS4R3S6DwwG1K4SVpB0IzzrrLNViXLRokUqvJQ7KslIpR6JRdfLHvx/43tiOpaqqasxKE9i/Do8xNVpYlcPq8X3P0+wuCdiLZMeOXdLT3SWioTdgE/+QV/a0tqbcgscmmhSXVshwS8dokYWuSzSqS1QXKSstkZC45JV3W2XIH7LEFjyFHgRRCIe6DTSE0IDB5xpLLqaac2woctplyDcgHR17ZcDrFU009Xs1tXW4ekj/UOqsgdlMqUdIeUiPSllZicyaPVvee39zLBBibBAtRBTIYFwIcLJjYV6mRgub5nCJ1zssfT3Jl9mCyL6pNGMei0SlpKxCFjc3yZ62dukf9IroIuUV5TJ3zhyJ2lwSCH1YlUz5nQXas2ePWnTbGB9EVgDjvMmWXzM47DYZGfbKlq3bZHDQG2sM9fQNqHHi+U0LxevXZPzZY05pB8Lzzz8/O0dC0+bUNGlsaJT5Cxaon9ELRFETyqnROkQPHtMpcD9SY9y9vMDZbCo7owolUqQyUzV2/MGIlFfXSUlZuQRGRhAHxe5wSyAi0j3gz/KBUyag54cePVKiyUy00pRdE+nu6hKfb/xzOjq7pbauTko9JRIIWuNcmNaEelxIExd25ca4uaSLy2GX2uoq9RPGcOfPn68ulHhfEAQxmI7eAlOiJqDrqkGDXkCq0eGJxvr8gbCEI1ibwaPSkoPDYZXCpMIRv1BGoommRkUjYfElBEoNaVVt9DV9Xq+U11nnWp521ShaGdh7EKk19DTQu4i/Uf4wtmWKL6LBoDrnDpqDHg5KeVmplJaNv2AZ60w6JyiKUa+hiwTDEXVjrVVhwecYDSFkepKZaJUgzaap8UWDy2EXF4anJSJ2LSKlxW4pKXJYppo07UB41VVXqZ3of/SjH6mJtz/5yU/kxhtvVFsAPfLII9k5SiIaT49KsdshjfPnS0VlVdyu9B7VUB19Tm4PkbIHDVwEQrzXiXuRIshN2DGxOaS2plqdMy6nXYKBYenp7pGOvXvFP+RXvcORoUGpr0weZMXqqdGnnnpKBbyPfexj8uUvf1mOOeYYWbx4sSxYsEB+/vOfyznnnJOdIyWi8UIjUltRJiUlS2V4JDC6zJbHI3bHtlwfGc0AZHiw7CICIorh8DM6KAiOrfsqh5NBCryyqkaam0aktWW39Pb1SygUVoV0zc0Lpd87LJ07WmT5suXicTtMnzJPOxBiekRzc7P6HuNOxnSJo48+Wi655JLMHyERTSwSFI/dLsWVZaJhMXabXew2qyS1rM0YI0Tgw2LbaAihWhyBEXNLU/+eSFDXpKGhUYrcLqmsqhKbZheX260aVLta9qjgNzjQJ2Xl9TJo8qkUaadGEQSxmDMsX75cHn/88VhPEa0JSgFzwTBTx+URm6dCfZ0JXHLJQqIRlS5lPrSw4fOKKU+Y+oQ6jPixvFSMFaSMPQons7gGpksEQlEZ9A6pr0P+gOxsbZedu/eoOacwPOxXSziaXdo9QqRD33jjDTnuuOPUCjOf/vSn5d5771VViHfccUd2jrJQ2eziqF0gevlc0YvKxV5coapsQyN+cWi6FNnCIt4u0cOZncZgfAQwlwg7hCBVwtVCiPIfClwQALEEHlKdCIJY9xWf34mWxZsqFM2IpklXd09sUYV4CMS43+zSDoTf/OY3Y9+feOKJ8v7778trr72mxglXrVqV6eMrXDaHOBtXS79eLP09PimuKpXuPTtlcGBAND0sRRKU6rrZMm9Wozh87WqsJxN00aS3t099j547BtERCLG1DnYLIaL8hN4cKkBbWlrULjFIcxrbY2EqFBbFyPTcX2zbVl1TIx2dmFM4dhGFyopyKa+olC7f2ClyZjTtjXlRJIMbjeWsa5LeiEe2vfu61C9cLu0de2Xzu2+q9Gh5Tb1UFLulddt7almspln1ovfuzsC/qolv2K/2mAMjPYIPDwbOjQozrihDlH/Q+0LNBQIhAqBRBYwpa1hCDQExsTp0urDMnbuoVBYvapa2Pe3SN+hV143ysjKZM3euhMQpI8HUE/MtHQhfffVVef7551XaLXFOGtOjKt8g0bI50tXSpkal7UWl0rH17dHApIkMDfZLsWeOOB0u6d27R2bV1YrHWSQSneaCRvt2oMBqI4nwPiHVUlNTM71/g4iyAmlQYxnERFgZCjdMiTDGAzPFNxIST2mVLFpSKsEAFt/W1Rq3Q0FduvutsdRe2oHwlltukeuuu06WLVumViqJH3fiGNSHa0CGNIcMD/aJw+VWeXfsKm+IhIJqJQ+XzSHBEb+EkQKxO0SfbiDctwdhKhjHZW/Q2vARxTqT+KQaBRGUPyZa7AKf3WxdY33+oDofNM2hrk3D3oCELLTwRtqB8Ic//KE89NBDaqd6Sk6PRgRj0HanSwLDPvW9p7hUgsHe2AC1qsSK6uIq8ogDVV5JFkeeNM02ehNdjTEYKZVEGHBHq5PLq1mTwyYSHBlRRRdImrtdHnHYHTI4bP4xoEIJgtgVBkVuycYPkTrNZkNW35cqxa4i5i+PmWYgxEX2qKOOys7RmEUkJM6RfqmaNVd2v7dJwiNemdMwX83JURcgT6k47ZpEAwGpnt8sHltY9NDI6BY76cAiyVFN/MMB0bSQeDzFUllVKWVJ1ns1CmbYa7cmTY9KW9seteWOF0URmqbGgebOnSOlxRXS7+MC7LmGsXx8RrGTBDZZNuAzi0I3o3I00+OENMWq0f/6r//idkz7EeneIbMb1kioeYUM7N0jtQuWy9IDD1aD4S6nS0qLbFI1e5nMq68R3Zt64mtKrmLp7POqwhi1yrzNJmVlFWqAu7GxQT0FHxyUY+MrimQwzzPT4wuU/2waKom7Zdeu3RIKh9VkajVm3NunUulLli5T6VL0BCh3MLaPMUAMO2ELJYwJIoODifKoGGUmJ48C4ZVXXimf+tSn1Ma8K1asGLcx729+85tMHl/Big73i73zXWmas1yGZtVLWLfJAUuXiI40aHBEbJGAeLSQ6AMtah6h2pw1jTHIfp9fdmzfNjomiF6eZpO+3h4JYvwxNBrsFi5cKAceeKD6MDElakJYLMHhlqjNIbrYxIGegp7Q49cwNhyQaCQiNdXV0jcwIH7/h/PRBga94vMOiqe8RkaCDIS5hi2VkAJFDzC+chS9xfifKceB8LLLLlMVox//+MdVBSJTbalFvF2iDQ9IaeVssblLRfa2iR4OiYaTWReJRPH96I7k6dDtTunu7pDAiH909/I46B2q1Ne+HqExrsAdJ0zG7pCgrUj6+galr69f9fIqq6uluqpaios/PJ+6OvfKB3abSreVlpTKnFn10ts3IL39H+5hNxIISAk/x3nD2N4OKVAEvvivlCeB8Kc//ak88cQTqldIk6BHJTLYKVF732jQsjvVV5QnpxsADeHo6IclFW64a3KaJiFbkexqaZWOdqTVR1cH6enploH6WbJwYbMEgqO9/5bWPeJyuVVZ/nbfDpk3b57auHnYP6JuaMiWFBdLhA0lsrC0+9nIVSMtSrmDBZXdRe6Uj7sn2IeMCp/mLJIBr0/2trWJHhfAME+1u7NTjf3FluPSdZWBKC4pVunx1j171KarWDUEamuqpKS0TPxBjh2TdaUdCG+44Qa5/vrrk07applhi4SktqZG3O7xAQ/TJyqSVI2SidgcatucKBbZTqK/v29MVgABEnsUVlVWSrGnSPr7B6S0tETmzZ0tC5qaJCIOS6wnSWMhGc6M+Ki0c3N33323bNu2TU2mx/p3icUyGzduTPclKU16OCCVpRWyoLlZ9naMVo2i1V9WXiGz586TPa17cn2IlGX7vYAlPAFhzlNSIq6iIqmqqlSf34jYZCQYleERFlFZLaPk0ESC0bDYtKi4ihwSCNvEa+H5pGkHwjPOOCM7R0Jp0UJ+mV1TKZUVlTISCKpAqKZLeIqkbQ8DoalFw6rMvqujI+nYHh7riyuGif0aen2aTWpr60RsLhn2B02/4SqNZbfbJODzSkd7h/QODEgkHJWS0mI1vaqiuFR6vObedzAjgRBz0DC4fuGFF0pDw+hcNcoVXe1Y4bG7xFPmGS3Aweoyk9iHjAobpt8gIzBrboN0tO2JrQKCz2Zt/Syprq6Kbcpqi6s0ROUhLnjllVUS2DfFhsxnoj1IQ4ER2blzp3R190pU11XjaNDrlYEBryxdukQ8Lrd4/dZrHKUVCDHY/v3vf1/OO++87B0RpQmzoyOxuYRkBbo4IiOyoGGu2quut290xaKqqmrVG/QUucW5bzPXpqYFMnfuXDV9pqKiUkrLyiSs2yWqW+9iZ3Zo6GCqFFalwVcswJ+YEu0ZHFDnSyLf0JCqLK6b3Shev1hO2qnR448/Xv7617+q8UEiypFoWJyREamvLJG6mipV+oDen+oHxGUFKiuqZMmSJWoh5XBUl5FgWCIsjDFlEPT7/WoLJ0zKRyDEfqTgHxkebSeLpoJkqt3rfT6f1Fu0gZR2IDzllFPUzvRvvfWWrFmzRk3Yjnf66adn8viIKCVd9HBQNFzYMEdVw9fxH2kEPgRB7jZhXghuCIJYms1IjRrLKXZ1dqmVhXCOuF2ulK/hROGjRbNKaQfCSy+9NOW+g/jjc5sfIqKZ7w1i9aBkvD6fjPj94sKi/JVVUuzpEN/Q2Pyn3W5Xa5padZW9tMM/xhpS3RgEiYhmltEBSbWgfiSMdHgkNoVmwYL5Ul5WGiuoKS72SHPTAikpq7DsVJqprfFFRER5AZ0QpDWx00yy5RWdLpc4HU41dIzseFVNnZSUlKn5xwiQLneR2LFa0VBQVZJa0ZQCIf6AKJjZvXv3uB3RsSg3ERHN3Pgg5hAjtbknyRziyooKKSouliAWKcYUioguut0lJeVuNQ91JBiWoeGQpYuo0g6Er7/+upx66qlqiTUERKw9igFaLO2FOUoMhEREMwNT2jBGiLQoFlQvLy+X9vZ2tdZsaWmpek5tXd246cX4OYR0KqqJIyyimtLGvJ/+9KflvvvuU3OYXnnlFdUtP/fcc+Xyyy/PzlESEdEYLpdLTXno6upSKVFch7HDPabLoJdoTJNAWpQyXCyzadMmueKKK2L7Y6Hl0djYKN/73vfk2muvTffliIhoCkEQE+Y3b94sHR0dau4gJsRv3bpV/YxUqdudeocammYgRKvD2CUZqVCMEwJ6h5jHQkRE2bd3795xxTEonOns7FQ9RcpiavQjH/mIvPrqq6r7fdxxx8l3vvMdNUb4s5/9TA466KB0X44KFFqbqFJDowhZAbROMZeJiLIL0x5CoZCq0UiEXmFfX58KhLguw/vvvy/h6OhYYF19vdTUzcrBUZssEN5yyy1qmR747ne/q9YdveSSS1RgfOihh7JxjJRnUCCFDyOCH4qmjEIpY7yCiLILDVAjMxfv97//vTz66KNj7jv//C/Fvr/qmmvliqs5hDXtQHjooYfGvsfF75lnnkn3JaiAIQWOCjWMRWAlC2NQvqamRpqbm6WyslK1SokoO/B5Q7UoFlhP7BV+6lOfkpNOOkmtBY1xQjRYsVNXfI+QMjSPEBfCv/zlL2qD3rPPPlvKysrUti8o3TVKdsl80ALFGDG2ccHgfPwHEz1BpEqx0wEDIVF24RqMzZUxjxufN6NCdMGCBTJ//nzVScHnVa06g0AYiUgogtW/ouorTTMQ7tq1Sz75yU+qIhmMDaH1gUB42223qZ8xrYLMW6mGDyDGIJLp7e1VgRDjhxwvJMoeLKmGzyOyMAh6GKLA546dkRmqGsVcQaRHcTFE19vwmc98Rp577rkpHgYVArQu0fJEZVoyxv2pNgUlosxBoxSfOQxHYAobeogYr0+1zRJlsEf44osvyoYNG1RrJB5y0smW9yHzQBoGLU61GWxv77jHcT+CIDIDRDRzARHBz5jbzYboDO0+kWyXidbWVpUipRzSbGrfuaFhf+wDkskPBd53vP8NDQ3jGkLYlxJpUQzes0VKRKYOhCeffLLcddddsZ9xoUXZ/PXXX6/WIM0U9Cq+9rWvqWkZK1euVEu40QRsDhnwDcmWrdtkx86dsfFcY6POTEGlKMYg8J5gYH727NmyaNEiNYcUrVEWyhCR6VOjP/jBD+QTn/iErFixQq1qgKrRLVu2qJXPf/GLX2TswK655hp1AccSQviKZYMoBU2T4ZGg7NixUwYGB9QmnEbQ2r59uyxevDhjvXX0CI1F1hEEjZ4i5paikpS9wfyHdpHDjorC0WpCIqtLOxAiLfbGG2/IL3/5S3nzzTdVb3Dt2rVyzjnnjCmemQ6k1x588EGVbjV6M8ZFN1nPMX5MCpO8rUazOaRvoFcGB/pHr3JxUL2JwJXJtDWCHQKfkSo1vjII5j+XwyaBkRF1w06txagEdjhlYIjjumRdU5pHiMmc2UxVYn4iVi/BKjZ/+tOfVIC94YYb5IQTThj33PXr18uNN94olqbZxOf1jgaiJGlQBMNUu1eTdThso+tTtrW1y6DXp3YsLystVWO75SXl0jvIYEjWlPYYIXzwwQdq/A6BCTd8j/XsMgUXbYxvIf36z3/+U+6++24566yz1Ic40bp161RKzrhZc+FvXdzuogkbLhi/I+uy2TQZGOhX48cDg161IWs4HJGe3j7ZvmOHRIMj4nLwHCFrSjsQPvHEE6ow4rXXXpODDz5Y3TZu3KiKJ/BYJmBlBJQCI91qLPS9cOFCeeutt8Y915hEGn+zGj0SlqqqSvF4isc9hgCI8dtk6xKShUSj0tPdo6bAJPL6hlRa3eOeUoKIqOClfeZfddVVqhd20003jbkfVaN47Mwzz5z2QeHCjZ7mH//4R1WJumPHDnU74IADpv3apqRHpby0WBoXzJe29vbYuCqWPMNEW6SZU02CJ2uIRiMTzu8c9vulgtPPyKLS7ia0t7erHScSYcwQj2UKlmr7/ve/r3qaZ5xxhtx///0yb968jL2+2WjRsMyuq5Nly5ZJ08ImdR960Shu4gRbC9NEbJomNrtjwmI2zAONstaJLCrtHuHHPvYxtboMSvLjvfTSS3LMMcdk7MCwht7zzz+fsdezAk2PSKmnSGqqqtTPmOKAlGiyBRDIxLC6TzCkvu3s3CvdXZ1SVl4udXW10tndLcPDYzdzrawol/KKCvEFRn+HyGrSDoSnn366XH311WqM8IgjjlD3vfLKK/KrX/1KVW/+7ne/G/NcIprhCuIhv7S0tqofW1tapajIowLh4kWLZPGiZtmzp10GfT5BkXF5aanMnjNHxO6WUJhVo2RNaQfCSy+9VH397//+b3VL9hio7T/YE5kx7R0d0rG3G9Ux8sHmreo+VPJiSgXeB6xQjxuZW0QX2dPWJv1xO4TgHDAWV1i2bLmUlJTJSGBEBUK7wyXBiCaDwwyCZF1pB0IWXeSnBx78H7l5/ffG3Bc/lnvttdeq1XrIzLDC0Mjowgrx92qaOB0O8Xp9Muj1iru4XGxOm9qo1RcIq69EVsZ6aZO4eO0Fcvppp6keIVaaQYosum/3eKNHSCanjV8Uv6KyUhrmzRttwGqauF0uNacwEtXVjYjSCIQvv/yyWlD5NFxs93nkkUfUtAksiYbKznvuuUfN66OZN2f2bJk7twG5LtHszlggjF8Cjalqk9N1cTmdUuTxxOaNRiNh2bZtq3h9PjVWGA6HZM7cBnHYnewJEqU7fQLzBt95553Yz5jcjjVGTzzxRJVye+qpp9RyZ0SUO0Vul9TV1qmeIGD+bcfevaqxGgoG1fJqu3e3iENjECRKOxBu2rRpzFqfWHT78MMPlx//+MfyrW99Sy2D9vjjj0/25YgoC7RoRGbNqpeamprYfVhYoaqySlWORnVNurt7xO8fFicWHyWiyadG+/r6ZNasWbGf//rXv8opp5wS+/mwww6z6DqfRPlXObxj+3Z1H3YJwWe33zYoVZWVUlFVLcFQSIKBgBS7S3J9yESFFQgRBJFmwZJdWK8Q64vG7/qAD5zT6czWcRLRFCqHv/e9D38++5xz5exzvyR2m00txM5SGaI0AyHW/MRY4G233SZPPvmkWrUkfiUZ7E2IncqJKPeVw6I5ZE97u7R37FWFUiicQnoUKisrxFNcIoFIVIpcDrUTxUgQ0yhYTEXWNOlAePPNN8tnP/tZOe6446S0tFR++tOfisvlij3+0EMPycknn5yt4ySiNCuHVwSCsnv3buns6hb/yIhomk3tzoL1Z11ut0SGh2V4eEgikai4XW7xlLml1xuQUJiFNGQtjnR2hHjhhRfUnn8IhIn722GJNdxPRPkBRTJNC5ulprZORkZGxGa3qykUTqdburo6ZXdLq/T1D6geIZ47d/Zsqa6bJcFQRBgLyUrSnlBfUVGR9H5s9UNE+cVud0hZWbl4SsskGolKMByVoSGf7Nq9WwYGsd7o6Ejh8LBftu3YpXqKZcXlEhj05/rQiWYM66eJTA6hLrpvJRmH3SaDgwNqM95E6Bl2dXWJmxvVk8UwEBJZiSZJd6k3hELhGT0conzAtUZNDGkvv9+vLnwY08Xyd0YqjExGs4nYUC06cdtWj+pSWlKqlmDDrvWJSkqKRUe0JLIQBkKTGgkEpK2tTbq7uyUQCKg5nlVVVTJ79ux9F0FWQ5iCzS5hm0uGhgMSCA2p+YElJaVSXPxhRXc8rC9aWlYmtTXV0rG3a8xjJcUeqaurk+Egp1GQtTAQmhDmjO3Zs0et9IOAh14ggiEWPcDC21gUgUzAZpeAbpfW3S3SgwaP6vk7pbyqUhoa50tNTe24X0E+wOZwyYIFC9ROFD29/RKOhKWkpETq62eJ3V0ivr7hnPx3iHKFgdCEhoaHpbe3d1waFD+jh4hWP3oO3I2iwNld0tHeLe17WkdXicGOI9HIvk15beLxFIu7qHjcr2GeoOYoknnzm6R+dkA1lrB1lz8k0utltShZDwOh6WgSCoVUDzAZ3I/HuRxe4RsJ69LX2z3a4NHGjusNDg6KT229ND4QGinS0ZsmkYhNguGQhLG9PRUs1AHgXMCcUXzv8XjUpsy0fwyEpoMSeYcKdAh4iXC/8YGhAqZpqicXCo9/jwGPhcP7rwDFaYBUOhU2fKaRBcL0FwRCZHyMmoBkWQEai4HQhLAObGVlpQwPDydd+AAtxWRBkgqIrovDObpSzIh/JGmDB6vFMMSZH4Jef3+/bNu2TVWIoxeIG2oCkAFauHCRaAkrgdFYnEdoQpg03TBv3mhr0O1W92FdWPyMdSbJHDDxva6uXhxJ0txV1dVc8tAikN3p7OxUPcFE6CV6vYOJmXNKwB6hSaEKELuBYPssYx4heoLA3qA56MERqa+pFF1bJN0qJRYQh9MlldXVMnfuXNX4iXCWjOkhBZ4s+xN7zD8slVVcAnMiDIQmT5lgtwG1Dc++MSPOHzQTXWzhgMyrq5GaqioJRaJqbVFPsUd9ZVrUGjAvGJ/1ZJAidTpYGLc/TI1aJHXC4hiz0kUPB8Rti0pZkVNK3A6xMQRaCoIgxv6TVYgiM1RWVsaCqP1gICQyDV7srAiZnvr6epUON6ZFISgiAKImoLi4JNeHmPeYGiUiKmDI9qAGAKsFYbEMY/oEAiF6hFGdlTL7w0BIRGSCYIheIGoCMH8Q44bGNAomCvaPqVEiIhMFRGN9YZo8BkIiIrI0BkIiIrI0BkIiIrI0BkIiIrI0Vo3miObyiL28XjRnkVpAOTriFYlw6TMiopnGQJgDjupGGfHUycBQQIZ6feIpKZHK8rlSYgtJ1NuV68MjIrIUBsIZZq+YLYPOatm5eYsM9nWJptnUzuIlFTXStHipVJfWiO4fyPVhEpGJYEq9TdMkkusDyVMcI5xRmuils6S9rU0Ge/aOeWRosE/a9rRIyFGiAiMRUSYEAwEZHBwQ72C/REMBcTlsKjDSh9gjnEGau1hGdLsM9nYmfdzb1yP+0EIpd3lED43fW4yIKB3d3d3SuqdNBcJwJKq2YsO6pDW1syTE7mEMA+FM2rc6vK4n3woJ93NBCCLKBJ/PJ7t27ZJBr290KzZdl8FBrwwN+8XpdImnrEoFR2JqdEbpAb+4bLqUVtQkfbykvErcTrvoocCMHxsRmQfWGB0YGFDBMBE25kZP0SYMggYGwpmkR8Th75FZc+dJUXHpmIec7iKZNbdBivSASDScs0MkInPw+/0pHxsJBEXnJt0xTI3OsHBvq1TPKRHnQQdLd2+vBPx+cRUVS21dnVQW2STq3TtaSUpENA0YD0ylyO0SzYbrDAcKgYFwpulRiezdImXls6S8rlai9hrVLdeCA6L3DYng5LQzEBLR1GH3icrKSrUtU//A4JjHXC6X1NbWSVRnIDQwEOYCVpLx9Yj4B0SzOSRqd6ivmh1vB4MgEU0fNuWdP3++2NvaZXBgQMLRD6tGyysqZSjAIGhgICQiMqmamhopKS2T4aEhiUSj4nS5xOZwiZ9BcAwGwgKjOVwiTo8EdbtoNk3cDqfoOk9qIkoOUyVKy+wSikYlHI5KMMwimUQMhAVEc5eKN6RJd2eH+LxDotntUl1bK3U1NVLEcUUiSgHTkzlHOTUGwgKBXSq8IZGtW7eIzzsootnVBP2B/j4ZGhqW5oVN4ua7SUSUNl46C4TuLJKutm7xDvTvK3ved7+uS3fnXqlFz7C6KqfHSNOnFZWKVlIjIZtbrTmLBRi0kF/0SDDXh0ZkWgyEBSKk28SLnmASkUhYBgcHVYqUCpe9rFaGnVWyt6NXBgf7VAVxeWW1zJpVL2WeIrUyERFlHgNhIW2jEtcTTGR32PeNBHBd+UJNfY+4KmXH9h3S1713dD6pZhPfQJ8M+XyyZOkS8dix4hAHeogyjRUWBcIpYamqTt7jcxcVSUV5hZqsT4XJVlwlfYND0tfVPu6xgd4u6e0fEM2VeqUQIjJhIGxqapJly5bJ6tWr1e2xxx4TK9ODw1JbXSmz5jaK3Y7e3yi3u0jmzWuUspISloUVMN3hVpOeU0HqOyofvu9EZJHUKIIfgiBhIDAsRdERaV7QKLV1tWprFbvDObqMUmmJ2CWc728nTUDTo+Jwpn7/HA6HaBobOkTZUPBXzkAgoG7xLWez0sMBcUSjUltaInWV5bH9DSUawiBhrg+PpkEPeKWmula621vVNjnxHE6nWiFEY+UokbVSo3DeeefJypUrZe3atdLV1ZX0OevXr5eKiorYrbGxUcxNV7vXI1WqdrGPclUZM4gOD0i5W6SxedmYLbqKPCXS0LRYKkrcogdZNUpkqUD4wgsvyJtvvikbN25Uc+TOP//8pM9bt26d2oDSuLW0tMz4sRJNmx4Vva9V5lR55ICDVsqSAw+WJStWyfIDD5J5dRVi8/dzDJgoS/I2n4ZV08HpdMo3vvENWbp0adLnud1udSMqeJGQ6L27pdhTJqXF5aNTKCJeEd++1LfNmesjJDKlvAyEQ0NDapwEhSDwi1/8Qj7ykY/k+rCIZgRSoNFIWMRmF83uFM3GalEiywXCvXv3yplnnimRSEQtIdbc3CyPPPJIrg+LiIhMKC8DIQLf66+/nuvDICIiC8jbYhkiIqKZwEBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWxkBIRESWlveB8OGHHxZN0+TJJ5/M9aEQEZEJ5XUg3Llzp/z4xz+WI444IteHQkREJpW3gTAajcpFF10k99xzj7jd7pTPCwQCMjg4OOZGRERU8IHwjjvukKOOOkrWrFkz4fPWr18vFRUVsVtjY+OMHSMRERW+vAyEb7/9tjzxxBNy3XXX7fe569atk4GBgditpaVlRo6RiIjMwSF56MUXX1Tjg0uWLFE/d3R0yMUXXyzt7e1yySWXjHku0qYTpU6JiIgKrkeIYIegh2CIG4plHnjggXFBkIiIyJSBkIiIyNKp0UR/+ctfcn0IRERkUuwREhGRpRVEjzAduq6rr5mcT+gdCYvYoqLZdBG7Lpqmi2bf970tKmLHY3bR7FERW0Q03OwREXtYNJtDxI5bRDTNvu8+PDes7sf36qvmEE09b99X9Rzn6OP43ubcd//o47Hn2Jz7novvjd93img2ieq6mo8ZiUTGfcXfKfH+iR6Lf078c9N53f39bqbft0wqxHNA12wSiYqEIxEJRfA3jkoYX6O6+qpu4X1fcVP3R0bvi44+ZjwXv288b/R1dAlHIxJSz8FzdfXcUDiiftf4t0Yf3/e6+J2414n9O3Gvi+fm6zkwMjKiVrmy2WzqZrfbx3xNvD/xOfjdxN9J/N1kj6X63cm8Lh7jOSBSVlam/hapaLoROUyitbWVcwmJiCgGU+vKy8vFMoEQvYu2trb9tgDMDK0pNAYwp3KiN5/Mi+cA8Rz40P7igelSo0gHNDQ05Pow8gJOfqt/AKyO5wDxHNg/FssQEZGlMRASEZGlMRCaEJacu/7667n0nIXxHCCeA5NnumIZIiKidLBHSERElsZASERElsZASERElsZASERElsZAOA1NTU2yadOmMfd97GMfkyeffFLy0Z/+9Cc55phjZNGiRXLooYfKCSecoDZBTvV/MVx00UXy/PPPi1UV0vt8ww03qBU0fvvb38buQz3cwoULpbKyMqfHZhbhcFhuvPFGWb58uRx00EGyevVqtXE4zgd8nwxWu8JnL9vw3icew8MPP6zuv+uuu7L+7xcq060sQ6mD4Je+9CV54okn5Mgjj1T3bdmyRd544439/u5PfvKTGThCypQ1a9bIQw89JJ/5zGfUz88995zU1tZKX19frg/NFNauXSu9vb3y8ssvS1VVlWpo/PrXv1b3pTJ37txYozPbHA6HvPbaa+o8AJwLaPhSauwRZskFF1wwpgV25ZVXqtY64OvnP/95+fSnPy1Lly6V0047Td5++235xCc+oX7+4he/qNZMhf/93/+Vww8/XD7ykY/IwQcfLE899dSYXgle1+jlffWrX015PGjBfvvb344FQViyZIl87nOfi/38m9/8Rv7lX/5F9R7+8z//M2nvB/8vtH5PPPFE9bwLL7xQ/vGPf6jnNDc3y7e+9a0xv/f1r39dDjvsMFm8eLFcccUVsd1BzCLf3mc4+uijZdu2bdLR0RG7EOJ9infOOeeoi+OqVavkU5/6VOy58Pvf/169ZzgO9C7+/ve/7/d37r//fnU+4fhvvvnmMes64vv+/v7YzwjKO3fujDXG8Fr49/C69957r+SzrVu3yq9+9SvVy0IQNP5///Zv/6bOf/QWL730UvW3O/DAA+Wf//yneg7+v/E9cvzOd7/7XfWeI+OAz9f69evV3xd/R2MPVuP38P7j74PXRKN2Il/+8pfVew6bN2+WUCikfs+AhhE+53ivcP+DDz44ZnFqZIDQ08X/wThvJvqd9vZ2dU6vWLFCXRe+8IUvjPkMfOMb34g9F+8vPjOG22+/XT760Y/KIYccIp/85Cdl165dkhOYR0hTs2DBAn3p0qX6wQcfHLuVlJTov/3tb/Xzzz9fv/POO2PPveKKK/Trr79efY+vCxcu1Ht7e/VoNKofe+yx+uGHH64PDg7qoVBIvc7TTz+tntvd3a2eAzt27NBnzZqlj4yMqJ+PO+44/YwzzlC/Mzw8rDc1NekbNmxIeqwej0ffuHHjhP+Xr3/96+r7rq4uvby8XG9tbY39O/g/Af5fRxxxhO73+/VAIKAvWrRIHUMwGNR9Pp9eX1+vv/3227HfO/7449VjQ0ND+po1a/Sf//zneqEppPcZ/+bll1+uf/e739VvvfVWva+vT1+8eLG+bds2vaKiIva8zs7O2Pfr16/Xv/KVr6jvP/jgA72urk5/77331M947/r7+yf8nbfeeksdb1tbm/p53bp1aO3EnovvcRyGmpoa9X8Mh8PqnDD+LZwjK1eu1P/xj3/o+eqxxx7TV61alfSx559/Xrfb7forr7yifv7Rj36kn3zyyep7/H/j//74m9x1113q+z/96U/qfHr44YfVz48//rh+6KGHxn4Pz/3JT36ifn755ZfV+4NzKBk8F+8DzhF8Rq+++mr9vvvuG3Oe4nzE3x56enr0+fPn6y0tLernCy64QL/kkkv0SCQy5j2f6Hc+97nP6dddd536HteM2traMZ8BnI+Ge+65Rx0L4Fpw0UUXxV73kUce0U899VQ9F5ganabHHntsTE4erffJOPnkk2MtSrSGsPoDVkgHtLrQUoYdO3aolji2l0LKA+kX3IfxCTjrrLPU/bjhONATQMttKs4+++xYix2tW/w78+bNG/e8f/3Xf5WioiL1/cqVK1Vr0Ol0qhtahTh2owV63nnnxR4799xzVWvW+HcKSaG9z+eff76cdNJJUlpaqnqlWIw+HnqgP/vZz9Qee7jhPYf/+7//Uy1z49/F+1ZRUTHh7/z5z3+WU045RebMmaN+vuSSS1TvZn8++OADeeedd1QPwuD1euXdd99VPcRChMwHenmA9wc9nlTwngJ6gUNDQ7G/A3pIxnkBeM+NXtQRRxyh0qyvv/66HHvssUlf1+PxqM8keq644blI4xp6enpUehe9Rbx2T0+PylRgs4Knn35aZQCM86Wurm6/v4PeovH/xPXi9NNPn9TfCr3gV199NZbCNfYkzQUGwizByRL/xuLCgYuSwQgkgE00E39GigXw4bj11ltjKczq6mr1WqleB7+HNJRxoUb6EoUTONnwYcDFN5VUx7C/503298BsW2Pl2/tswAVpwYIFKiW+YcOGMcf80ksvyd13363Oh/r6evnd734n3/nOdyb8f6bzO4nvMY438W8E6MDg/5mqSCsfoTGDIIVAUFNTM+7xdD4LxnPxvMSfJ/o942+M8+WXv/yl+vm2225TwS8+PYpUPBo1iTtPILV+6qmnqnoBvM4hhxwy5lxLJp3fiX//k30+DHj/161bp4Zaco1jhFlsGWLsDPCh+cMf/jCl10GBAy5y8Oijj06q4AFjCri44GZcHDE+iHG/V155JfY89CowyJ9NOGaMUfj9ftWjwBiCmeTb+xwPY3V4z3GMif8WeqW4kAeDQTW+Z8DF9I9//KO8//776me8dxg3muh3jj/+eHnmmWdiY4b33XffmH8P/74xzohxaPR+YNmyZeoijfG2+DG4iYpOcg3/lzPPPFP1joxxT1zQESC2b9+elX8TQRE9ccC5hgpUZAWuueaa2PsfHwQBvdLrrrtOBZpEeC/RSELAeuGFF8YUzKE3h96dMXbd1dW139/BZ9oYk8R4IRpJ8X8vjJMiGA4PD6u/k+GMM85Q54rxfuNcQ+81FxgIswStHJxEBxxwgEoPIqUxFT/84Q9VLwE9OZwk8+fPn9LrIEWHCw4G3XFyIqWJY5w9e7ZkE/7/Rx11lPr3UOwRnwYzg3x7n+Mh5ZastY1eAoIQbnhP4lO+ODdwniCNjWIJXFCRwpzod1BYgaII3I/jT1zk+c4775TLL79c9SLwfzN6UugtIBWH4GgUgiDAoNGUz3DRN/42OGYMBzz77LOqd5sNSE0jDYl/Ez09NCiN9PpE8DfHsSVCTxJBFO8h/i+H70vlGu9VIBBQn1c8fu211+73d3DuooGNfwufATSMDJ/97GdVKhefD/RQ4zNSGApAyvfjH/94rDALafZc4KLblDVI26FiDC0/sg6fz6cu1Ly0TB+qRhEg4qtu892VV16phgeMytFCwB4hERFZGnuERERkaewREhGRpTEQEhGRpTEQEhGRpTEQEhGRpTEQEhGRpTEQEhGRpTEQEhGRpTEQEhGRWNn/B2K9qnG7MXHVAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "\n", + "human_color = \"#e38a48\"\n", + "chimp_color = \"#919191\"\n", + "macaque_color = \"#4573a5\"\n", + "\n", + "np.random.seed(42)\n", + "human_chimp = np.random.normal(7, 1, 20)\n", + "human_macaque = np.random.normal(7, 1, 20)\n", + "chimp_macaque = np.random.normal(7, 1, 20)\n", + "\n", + "fig, ax = plt.subplots(figsize=(5,5))\n", + "ax = plot_one_group_bar_figure(\n", + " [human_chimp, human_macaque, chimp_macaque],\n", + " ax=ax,\n", + " labels_name=[\"Human-Chimp\", \"Human-Macaque\", \"Chimp-Macaque\"],\n", + " y_label_name=\"Spearman correlation\",\n", + " width=0.7,\n", + " errorbar_type=\"sd\",\n", + " gradient_color=True,\n", + " colors_start= [human_color, human_color, chimp_color],\n", + " colors_end= [chimp_color, macaque_color, macaque_color]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "bb04612d", + "metadata": {}, + "source": [ + "### 关于x轴" + ] + }, + { + "cell_type": "markdown", + "id": "2be1498f", + "metadata": {}, + "source": [ + "当 x 轴标签较长时，可以通过旋转角度来避免重叠，提升可读性。" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "19a47c6e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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zSwxxQJE5bBHfDV6Od9991/4NEtAROIRgWGkSEcdUcAY6Xbt2NWFBHoUsxyVNJjqXl0ZHp02iDwmQdP4kXKGa/S42PAdUh6Oj5/9E398pc0QG+RokEzEtlPd2IyUaHzMrGBGRCU3IplOnTtYI4uqLrr4mRFhxSXiE2RiV0g4Km/1P2A5RTcl3pj8y4mV+P6stMkJO19Etgw4+MwXdKCFdUFgxk4RBt1AesxOwKYz6sTfkcjHwQACcfPLJdtGreDVnOnXqZGdR+HMV8DJwP/3eTapIkvTINHHCyIgJroMQb1D9hXRFQiEEJLO8J1UVmVvNlBw6b7c0alAxkGiI2zFViCxnpikyjZE676zAhoCgHCouPTpr3t/9T8MjjsfmYnpslKB11eZgwoQJ9n9XRZKEI0QI5ar9lc14X7wazMRg2iQqnVgntdW5vjBMORIiP9zyx8Tn6cQQzy7OXpBkRrLxmUmBR86VU6ZDpL0yS4owRr169ex+QhNumjTucv6nc2WmgNtoj8mc1RQPrstNDU0Et1IktoMRPp+X0T6eSWZfEH5ZvHix9UKQ70Qok86cUT81FtxKvdRsYPBRqVIlew8Y8NDRY5sSTWgk1MH0b/JJEAd4YPkulixZErnfYUBCIQTwYCYyHZDyyf5qibFgLjCxMaeYUcAUcGLKYSIQX6NuOcmEgPuf6ZwkP1Hi9JNPPrFCIJEpP3T8GCs/rqAK14VblC1oahHQuMkgpuYExWJwzUokiEwBIU5eDqIYkR5UmTEW/sqMvAcjZtqJW0oZEeBGty+//LINRSDAcakzCicnKNbImnM4Px0g5o+ngFlRdOjYHtz+CCLKzyNq2I9nctq0aVYU4JFEMDDIoIBcq1atrFeSz4VIIsTJfaJT53Xbtm2L3AfEEYnfBYU8DuwjYQi+C2rXEEJNZH2JtCDVy1eKYPr372+XJ2XZ0kTgPM7ndfmxe/dub+fOnQW+JpZY3bVrV0Lvv3XrVrsM9apVq+y2bt06b+PGjXZ/0NLZa9eutcu2skSrEOK/7Tqa0qVLe3feeWfc17GEMfaAZZdZ9njIkCEF/tu0ddrq9u3b7f8FtRkseV3Qbqagy0y3aNEislx1mTJlvDZt2ngfffRR5Di2J4jXX3/dGzlyZL5/Y8eOHXap7iC7deKJJ3qdOnVK6Hr5Prp06WJtYVgoxT+pFitCCCFEUSA84sIlIrlIKAghhBAiEE2PFEIIIUQgEgpCCCGECERCQQghhBCBSCgIIYQQIhAJBSGEEEIEIqEghBBCiEAkFIQQQgiRmUKBEhCs0KVSEEKIZCLbIkSGCAVWLaxatar9XwghkoVsixAZIhSEEEIIUbxIKAghhBAiEAkFIYQQQqS3UGDN8JtvvtnUq1fPNG7c2K7XLYQQRUW2RYiiU8akAX379jXLli0zc+bMMXvuuafZvHlzqi9JCJEByLYIkQFCYeXKleb11183s2bNsg0ZKlSoEPPcbdu22c3B9CUhhIiFbIsQGRJ6mDp1qmnYsKG58847TatWrczxxx9vZs6cGfPcQYMG2SlLbmvQoEGJX68QIhzItgiRIUIBt+Ds2bPN5Zdfbhsxjbl3794xz+3Xr59Zt25dZFu0aFGJX68QIhzItgiRIUKhdu3apnnz5qZjx4729wsuuMCOBGJRvnx5U6VKlVybEELEQrZFiAwRCp07dzarVq0y48ePt7+///77pkuXLqm+LCFEyJFtESJDkhlJMnrnnXfMVVddZROIGAEMHTo01ZclhAg5si1CJIdSXohXPaHxk3hETFGuQiFEspBtESKNQg9CCCGESF8kFIQQQggRiISCEEIIIQKRUBBCCCFEIBIKQgghhAhEQkEIIYQQgUgoCCGEECIQCQUhhBBCBCKhIIQQQohAJBSEEEIIEYiEghBCCCECkVAQQgghRCASCkIIIYQIREJBCCGEEIFIKAghhBAiEAkFIYQQQgQioSCEEEKIQCQUhBBCCBGIhIIQQgghApFQEEIIIUQgEgpCCCGECERCQQghhBCBSCgIIYQQIhAJBSGEEEIEIqEghBBCiEAkFIQQQggRiISCyGh2795tPM9L9WUIIULKbtmQ9BEK55xzjqlXr55p3ry53UaNGpXqSxIhZsuWLWbp0qVmxowZdlu+fLnZtm1bqi9LpADZFlFQEAbr16838+fPNzk5OWb27Nlm9erVZteuXSYbKWPShFWrVpkRI0aYTp06pfpSRMjZvHmzbeArV660owHg51q1aplGjRqZ8uXLp/oSRQki2yIKCqIAG7Jhw4Zcz1H9+vVN3bp1zR57pM0YO/uEQvXq1eOew4jQPypE8QkR61lasWJFLnchIwG8CnvvvbepWbNmSq9PlCyyLaIgbN++3fzxxx+5RAJs3brVLFu2zFStWtVUrlzZZBN7pNMo8LjjjjNt27Y1/fr1Mzt27MhzzqBBg+yX5LYGDRqk5FpFejfyNWvWxIwpIhboNLI93phtyLaIgoAg2LRpU8xjmzZtss9TtpE2QmHu3Llm3rx55uuvv7YxxIcffjjPOTTydevWRbZFixal5FpFeJFIyD5kW0RBbUSQnfCy1H6kTejBQdJRz549zejRo/McI7as+LKIR9myZe2IkBhjNMQV9913X1OqVKmUXJtILbItIhH23HNPU6FCBetZiKZChQpmr732MtlGWngUcAWi+mHt2rXmnXfeMUcccUSqL0uEEERAtWrVrCCI3k+cmhwFkT3ItoiCgmCsXbu2FQXRg5BatWqZSpUqmWyjTLo05tNPP93GfsqUKWN69OhhbrjhhlRflggpNOSmTZtazwJuZETCPvvsYwUEowWRPci2iMLAoILnhZymzZs3W5HAPuxIts14gFJeiIMuZCa7zqBKlSqpvhyRZvBo01EgFGjoQiSKbIsAplfv3LnTigOEQ7aSvZ9cZDwIhHLlyqX6MoQQIQWBUE42JD1yFIQQQgiRnkgoCCGEECIQCQUhhBBCBCKhIIQQQohAJBSEEEIIEYhmPYiMhYVd2IKoU6eO3YQQoiD8kWW2RUJBZCxDhgwxAwcODDzep08fc9ttt9npTxUrVjSlS5cu0esTQqRX3RWKK7nSzfHKNQ/Jx7b079/fDBgwwGQKKrhUAnCLefgo3kHhH83LLXnVn5OTY3r16mWGDRtmVwZkyWmqNFLSmZKtlHxmrXlVbhRhsi1+sC+uk8PGZHOBoILCyrLYCuwCYoH6CQwe6tata2rUqJFnfZgg29KmTRu7Tx4FUSC2bNliHz6WPuZhpFOqWbOmLQeqEWzxEquxNmvWzJZ4xqgC3wmGge8J49C4ceOsLNEqws2GDRvMsmXLrMBhYMIzjp2h5LAWQcsfSjUvWLAgsgQ5doG1Qfi9fPnyVjTmZ1sQCR06dDCZiIRCMbJ9+3a7XC3K0zluNm7caBs1v7PwiChZEAWUZI2G7wMxx6IvjCSECAubNm2yy2j7V0zFzrA1b95cC6HlA/Zg5cqVEZEQfW/Xrl2bRyhkGxo6FSM0VB7A6OgOAuLPP/8027ZtS9m1ZSsYg1hCwX0vQceESFcIjyByY9mfFStWRLxnIja0edp+EJs2bTLZjoRCMYI7O+gBjHdMFB/kiAQtEKW4rggjjHiDUs3o5GKNlMX/Q5uPlzdWUR5GCYXihByEoPggxxQLL3nIZI7lRuR7IqExKMtZiHQl3sqosjOJCQVyxmKJBXI99lboRkKhOEGJ8qDFgs5KnVLJgzFo1KiRTfRihgOGlO+JGQ8kJ8moirCBwI3VyfEsc0xLrOcP96lhw4Z2hgvCgXtGIqjbl+3Iz1qMIBLq1atnFi9ebF2AuAfpmHgASWRUp5QaKleubFq0aGG/E7KbXR2FWN8HbltivW5WBOcFnStEKmDQgZ0hadpNj6Sjc7OrRP4gDriHCAbaOh5GvI/JmC69Y8cOm8DOd4PdoF/AhoRpNoqEQjHCg0Bj5aFg2hIPDA8fClXz9YsfhJnLBaGz94Mhzc+lSLIps1ZICONnvk83t1pCT6RbJ4dg8E+PRBCrZkviOHHABnTs5H+UKlXKen8Lcy95j4ULF9qkduwQ7+UGkMywCotYkFAoZuhMaLBsouRAlDGvnAaKWGD6GEQLhnggEJYuXRrJGscA83o8RAiGbJ8yJdJLLCB8FU8vOngZqX3DzDTnXahUqZIdIOBxSBTsBe/jnx7P/3gXnA0JS78goSAyEjp5Cqi46Y5uKiqNlsafX34I51OEJdbUMmoxMCVNQkGIzIN6FNgO//T1rVu32sEHXoWgvLNoeD3vFWtGCmFPvD9hEQrynYqMgwaKJyFWTQTUPA00PxAIjCyC0NRWITIPbIYLNUazfv16G4pIFOxHkA1BPIRp2qqEgsjIxh5UzMpfDz8e5DAE5ZG4pEYhRPbYDs/zClR8CRtC+edYkNTuciHCgISCyDhohEFTwog3JpKURMyXxWBiiQXiwAo7CJGZtiNe0bU9C5CEjp0hmT2WvWHmW5imXSpHQWQMhANQ/DR2Yn/kEUTHB1HxicYFq1WrZj0QJDW5FeVo3NRbCNNoQAiRGAwwmFKK7cCesO3evdu2fTr3giaL8l7YIJcYiW1yNiRMM98kFERGQK37JUuW2DgiXgOmL9KwmaVAY3dTGdmfaNiA1zCFCePgpjaRBKlVP4XIXOjcGRjMmTPHJjS7fUGFreKBrXC2iJAGNoVBRtimVksoiNBDo2ausn9hHKY10rjZcCW6pKLCLLtLnDEo1iiEyCywD4z2qeBKvQPnacAjgJ1hqfqCrgkTdhsioSBCD14EXIV+yChmKiTJSSy1i0AQQoj8IHxJnQNsB52797/CbYQg8ChyPNtylCQUROjBpRe0lC7eBi0dLYQo6LLTeCGjpzBuz9Kl6NMqUPLaa69Ztw8V9YRIFFR/UMwPl6FyCoRsi0jGstPlsnQp+rQRCjTgJ5980mQyuLCC1o0XhYcs4lhTjRAI5CiEKbtYJJ9ssC1+8K7JzhQekp2DZjfsvffeWVlDpUy6PNiXXHKJeeihh8yJJ54Y18XsL4aRSIW9dMAtLkI5TzftjgcuzMkt6QRZxCQeIQyovIjLkFgi95l5zCJ7yXTb4ofYOQm95Osw6uX5J5auZaYLBveOZecBu719+/bIstPsz0aPQlp84nvuucfst99+5oQTToh73qBBg8zAgQNNmEAkzJ8/386jdXF0ygsz7Y7OTaPd5EAjRjCQk8B9jrd0tMgeMtm2+EEgs/AZQsF5E7AzLGTUoEGDrOzcigK2g9kNiK8dO3ZYocC+bL2PKbeir776qhk/frwZPHhwvuf269fPqmW3sQRwuoMXgRXE/Ml2/Mw+/3Q+UXTw0CAYGElRVEkiIbvJdNvityeEV6IXIHIrqCIiRMFBFOCRqV69uv0/W0UCpNySPvDAA2bWrFmmbdu2pnXr1nbfEUccYT7//POYHYGLRwfFpdMJsmODVg+jcXMs3sJDQojCk8m2JdprGSQGCKeEMYwi0ouUSyQash8yk3/44QdbzSrTUcJRXorL/UsBJhgyZIh1xxYH/fv3L5b3FYUjm2xLPFsiO/NfZFtC7FHIZHBVkbQYqxIg+3CTa+qeEKIo4A2pVKlSzGPE1hNd20SItPUoZLr6dTHzmTNnRuqGAwICIUGuArBICJsQonjINNviIFGaXATWOvEvg0yODvF1MvWxQUJkjFDINMiUbdKkiRk6dKh54okn4rqWBgwYUKLXJoQIP7i847nVZVtEUZFQKCGx0KdPH3PBBRfY32fPnm169eplhg0bZtq0aWP3yZtQPJCtzIjK1VNg3QemTjI/WohM4OqrrzZnnHGG/Xn69OnmoosuspUo999/f7tPtiV9QkT169c3NWrUsN5k1o9gPRq2dPd2SSiUEP7QgiuAgkjo0KFDiq8sc2HlN4QB7lgX4kEktG/f3i4hy8IvQoSdWGFLRIJsS3oNFtu3b29/xhYxG4VBTIsWLWx4aMqUKWktFiQURKggCRRF7pJE8QysWLEiz6JQFF9CJCAGEAWodjfiYl15iqlQx8If0xVCCMBGkNdBnseGDRts516UqewU/UIc/P7775FFpbBNiIUDDjjANGzY0CxYsMCkK5r1IEKlyjt16mQ9MWRyk+nN/Hj2RWd9M02J0qtz587N8z7s41hxTWUSQoQTPI4dO3Y07dq1s4MRN+Do0qWLFQ+Fwb0PIefolScp7kUiarrbInkURChgGinKmw4eVU58D1jTAbHAsXHjxkWWhUVI+MvZRsMMFE0bE0L4wY6QPzBp0qRIoapy5crZEAGFuyZMmGDLxBcEBjF4IxAFQbYIocDfwb6lI/IoiFBAkRxyO4jlOZEA/Dx16lQrJPxxWkIR8WpUYAyiwxVCiOyFUANeS8KT/mqW27dvt/sYhLBuRkFhsEKYNKikvCsNnc72SEJBhKYRU/I6luKmAaPK/XPF3e+x1pVHcHDMX9dCCJHdYBPwFsQqee15ns1TKEw9CuwMIiFoJVsGOPzN6LBEOiGhIEIBDS1eQ+KYX7ET90NAEGskPOFgtU724Qp0CY5CCMGoPz8bUypGld1E1uKgKBa5DsxwcODxJKmaHIaFCxeadEY5CiIUbNy40SpyGmqsvAMSjfA4+Bv15MmTrSg49NBDI54F4oz8zLF0VvBCiJK3MbVq1QrMFahWrZo9pzBQmZeZD9gfZj+wkbuAPWNNknT3bkooiFBAeVrqIqDAyR72Q+VLipm4xVkcTH0cO3asnU7pEpDmzZtnvQ3pPGdZCFHyYBewJSQukpPgtxF16tSxUxmnTZtWqPcm/4BcKhKoGfCQl4A44G+mawKjHwkFEQpIWkR504hZPwNXHg0ZEYAyp1ZCLLXPOZzrRAReh3SfiiSEKHkIRyIQKFbFlGs6cfZVq1bNigQGKytXrizS36AmQ9CS4OmMhIIIDXT2eAkog8oGFFxCJKgksxCiqDCQYAok9oUBhSu4NG3atCKLhDAjoVBCuGxa/nflhOX+LjjMRQ6ajyxEpoLrGo8ZNgRXNdP4qlSpkitRVyQHBiPkFIj/R0KhBKBxz58/3456afCLFi2KqFc3x7YghoIkPCp9YSjI4hf/hTwFkhoZBXCvJChEJuDCZ9gNV3KcZ5xnvWnTptYeOLvgT+gVqaFChQo2PArYoMImQKYTEgrFDI0Xl3msBkzjx8PA6CA/kYAXgtrgzlAwtQZD0ahRozzli7MNjGbLli1txjJGlY193KucnByt5yBCDc8v8XH/c+yK82ATqEDqipC59QL8RclEyVCmTBk7ywq77LdDiAVyH8KQtBiEhEIxQ4ONVcDDHaPx5ycUYhkKkmxYDAmPAgo2qOpXNsDaDzROkh1JQMKIMjeZGRKs2EbMUYiwwog0elRK0TA2ZgDRQbnpv27hIjLqaQfZbBdKmhYtWthZDYgC8hkQCtRNoH6Cs0PpXH0xHnqKihkejKCHg/2JrEhGMk3QqJhwRjaPHmiYNMYZM2ZYz42719wX1oQgrOMSH4UIIzzT0flMDA5o90HrmWAzKPQjSo4KFSrY+iwM4Nx3gmDADnEMj2dYkVAogbh5UMJRvGN+EBNBiY/xjmUDzEmmeAmNM1bYBw9DUOlUIcIANgJb4QcBTNvHmxBrTZN4AxRRcp4fQNDh4QmzHZJQKGYIDTDXP9aaA7jHE8kvQI3iZgwyIrHeO1vAUCIUgmBU5RZdESKMYCOYy+9PeqY8OSFLbEis5xthkc12IRVsj5ODgB0KsuFhQBa0BEBJovoZ9fLAuOWNcUUl0olxPoaChEa/9wBjwHtns0FArbv7GyuMQ6GUbA7NiPBDB9OwYUM76CApGk8ZP7vkXVd8zA85O9lsF1Il6LYFDFoQdAVdnjqdkFAoARADNGqmzNDIGQ1Aog2Z85jdgHEgJkmHyM90kP5FRrIRQguNGze2G4WX/DB9lPsTvV+IsEF7RyzQ5gkpuGRGBgscIycHu0CHBO5/UXKUK1fOFmmKLiXPd4b3J8x2SEKhhB8ktuh4YyIQYkAsIDgwFLxPmF1ZyXT30QDJLKYxsiIkYswtMT1x4kQ7G8JVVfNXV8NT47w7QoSB6LophCURyXgq/XkJmu1QvGzwlWJ2NuW3334zBx54oLXviDYGKogEbDbeYAZ5YUVCIUQQo1QltrwwdRSXHyMuVmgDvDbPPfec+fDDD3OdO2LEiMjP3bp1M0cffXSJX68QxWUXlI9TMowfP958//33ufY9//zzkZ979+5tLrnkEivgGMhQ7yLM6KkSGQGqng0vAqMphAN1FK666qrA18ibIIQoDB07djStWrUKPI5Hc8yYMXETrcOEhILI2MxjhRaEEMVB5QRsS6aIBFAgSwghhBCBSCgIIYQQIrlCwa1+mCyuv/56m4RGqd3zzz8/I1bbEkIUHNkWITJEKDAdh2zxV155JTJFpCjcfvvtdiGNefPm2ezQN998MzDmwwJL/k0IkTnItgiRIUJh9OjRdr5o//797RzR7t27m08++SShBY5i0aBBA/s/WesoflbaisWgQYNspT23udcJITID2RYhMkQoHHbYYebxxx83CxcuNN98842pV6+edfHVqVPH3HjjjWbs2LEFer+RI0faYkKMJnr06GE6d+4c87x+/frZtb3dlmw3pRAitci2CJGByYxdu3Y1Dz74oHniiSesCn/22WftPuKCw4cPT+g9jj32WLNgwQIzf/5889VXX5nHHnss5nlUvKLalX8TQmQmsi1ChFwooLqHDRtmzj33XFtPH7VPpbtx48bZWtcXX3yx3Xfvvfcm/J6MGqhoNWrUKJOpsHhLYd2oQmQDsi1FR0tMi5QXXDr++ONtLJEqeGeffbYti3vcccflqi9OEhHxwJ49e5p77rkn8L1YUZGFfdq1a2dX+fvggw+s+zETBQIJUqz+RmIVsJAL6xKo7KoQ/0W2pfCQg8FaJ4AXhZLmLA6lVSRFUSlUD8WDR1byWWedZRclCaJJkybmwgsvjPte1ORH6a9atcq6/3jPW2+91aQDAwcOTMr7EGdl0aL//Oc/tiG71cU+/fRT611AQEydOtUkE5LBhAgbsi0FhyWlEUPkdfz8889239dff21mz55t9wPemGQh25J9FEoofPbZZwmd17p1a/PMM8/EPYdlOVnhL5NhDjcjG6f2HZs2bbILhnCfWNSFUY8Q2YxsS+HsC4MNPJV4Lh0sSDRjxgzToUMHKybwZgpRGFSZsQSWhWX7888/Yx53+7V+vBCiMGA7guwLtSgQDPvss0+JX5fIHCQUSmAJWCGESBV+L4MQhUFCoZghnEDVtxo1asQ87vaT6S2EEAUF2xFkXypVqmTDmrIvoihIKJQAS5YssdOzohszIYlmzZqZNWvWmM2bN6fs+oQQ4YXS1FSTZJZDdGIouRyEHqhMKURh0by8EoAqbyh7CsUwhclNh2zbtq3NzM7JyUn1JQohQgqzOigoxUwQEqShadOm5tBDD7X25ffff0/1JYqQI6FQQiAGmPlAJnbFihUjc52XL1+u4ijFCNneTE9lxAV4bxBuWvRHZBLYEmY1EOZ03oS5c+dam0OtFlH8uWh16tSxG9N6uefU8cDbg0cn7EgolCB4E4gVOtXP7yqGUny4Gv9kfmNIacw1a9Y0Bx10UKSmhRDpCjMVELo8twhbOp54iYk8565GC9MiGZSI4qdUqVK2XgWzT/DuIM6o21G7dm27sBkenbAvby6hUEyQf0CnhBBA5VNZjqJLPEAu9ECVOGrK//rrr8pMTjLcV0QCc8spROPg5xYtWpiWLVta70ImqH2RWWAj9t9/fxuu5PnE44hXjHymadOmxfSG0SFxDuLgxRdfNIcccohtAzzvbmAiiocGDRpYj+XkyZNttV0HgxMqiBJyxsaHGQmFYoAGTREUqi7S0HmIcEnhGpwyZYpt7IBr8LTTTrOuqmypQV9SYDCZceIXCQ6KXCHiOIfvQIh0Gp0ecMABdmDx22+/RWYrMHOhVatW9hhVFl2IAUhYRChgb5yHksEIgphODPc3oU8NRoqHevXq2RCyXyQA3wfVMfFg4h1iYBJWNOuhGNzdiAQ6IMqpjh8/3sycOdPMmjXLPjhszg3FaBe3FC4qXiOSR+XKlQMr0TFCo9EyYhMinWARLAYODCb8UxoRvQwy6OzpmBwIBDbEQOnSpSOhh19++cWMGTPGdmC8Jx40kXzKli1rxRkhh1jg/SFfIey2RkIhiTAKoMOn0ZIwR4dE4yUMgShwC7X4IVsZ1yBhCZE8uPfxFtvimJJIRbpBp06uQayYNoMMKjByjgOvGIIYYYywwJ44mBKJIEY8MBghpCGSi/c/L02QrcFDRL8QdlsjoZBESGbhgXGq3v+goCrZT2N1sx6A/YQn/PtE0cFIYlBjNWCEG67AoFGAEKkCW8GUxiA45l9Jk5EqAoHwZnRyLp3T9u3brUucDq1atWrFeu3ZyM6dO+39J7QcC7w9fF9htzUSCknENWB/Q+dBopHSObn9/rLOdFi4r5RUl1wwmtx3spGJ7zoQZOwjxotbVoh0Ak8CnT6eyFjQ2fu9DYgB5ymIJTB4HxfyDHpPUTQWLlxovzNyQvwDEwYqeIqZrRJ2+65kxiTisouZ0uRfpAXFiSBALNB5uYeGh4rCKDR0EuxE8mAkRRYy2eMUnsG4IuSI/xLvJTck7O5AkZkClzwnEqKZwuuHUSseBMKYfs8Z9gaRwP9+3AwrBAL/h32KXrqyevVq+10hFAjx0A+Qt8D9x5PAVNWwI6GQROiAiAlSIQ13H50VoCjJsqfTorG6ldwY2ZLTwLnkNIjkQqyXhC7uPYofkYaRpfEqA1ykI9gMkp+ZycD0RrxeeAMo/05ok3Lw/iRd8qF4vhECJDm6ECadFK9BQDDzwdkmUXwCb+XKlVYo4MF0+STYoExAQiHJoCwPPPBAO4+ZwhuoSxKNUPuoTEQC02WAnxEJZDNrrnPxgCDA2CrMIMICzyodOx08tUBcwaXp06fbQYcf7MbUqVNtOXgSG7E7gKcSAYFgwKOgMs7Fz44dOzJ2wCehkGQIK0ycONF6ClCX5B8wSiCOxXRJFL9TmQgEhIVc4EIIPwgDV28lP/AUYFuwN86LiQeNMBujWjovhIcQhUVCoRigsVJHIVYxH/IV3KwIRgeuzCqCghEA/5NoRwPHfSWEEECODTaCXCeSpLERThgw2MCuONtCyC1WsTEhCoOEQhpATgNuRtzkuK8IUZAtS1UvrUcghGCaHclyhBEYSDCgILyAMMBOCFGcSCikGAowsVEohcQkV4aVzGeqqblVyIQQ2Qn5TSQ3krtAMi5CAcGANxKxgDdBpchFcaI6Cil2JSISEAhUbXShBtyJlHwmO59kJiFE9sKggaRnptm5NR6wFeQeMMBgtkO8KqRCFBUJhRTC9CdGBkx5igX7SUhiE0JkH3gXsRP+aq9+2M+AQ1UXRXEioZAGlRxdQlI0br8qqgmRnThPQZCNIKeJ3CbZCFGcSCikEFehkUIqsaDOAkZAU5uEyF4bQZghyEYwDZI6C6rDIooTCYUUsnnzZltTgYSk6BEBhVKYCUEiIwmNQojsg0RFkhipy+Jfs8R5JLEd2BH/ktRCJBtlwKQYyrW6So7EG/EeUMmRuu4IBK0BIUR2w0wHPAoHH3ywnS5NMSZqKTDrgWmSqrooihsJhRSDy3DChAk2s5nNLUlN+WcKpsRbclYIkflgDyZNmmRnSFF9Ee8CIUkKLmEj8CgIkdFCgQd+4MCBZsSIEdZ9xjoIQ4cOzaosXuKQeBbY3LKwQoiikUm2BbHgqr1iIwhJaGEzkTU5CoyYcauhmGkExOEGDBgQ81zmEON282+ZhkSCEMkhU20LNkIiQWSVUGCe8M0332xVMluXLl0CV/obNGiQzfJ1G8l+QggRC9kWITJEKPghw/+5554zPXv2jHm8X79+1oXotkxd0lMIkVxkW4QIcY6CY9SoUebKK680t912mznzzDNjnsOUQTYhhEgU2RYhMkAoPPnkk+aNN94wH330kWnbtm2qL0cIkSHItgiRAUKBxY8GDx5scnJybP2ATIXCSmywcuXKXP8Dnz2TP78QJY1sy3+RbRGhFwoTJ040q1evtlOXHLgAp02bZjKJ8ePHm++//z7XPqZtObp162aOPvroFFyZEJmJbMt/kW0RoRcK3bt3t1um07FjR9OqVavA41L8QiQX2Zb/ItsiQi8UsgW5/4QQxYFsi8iq6ZFCCCGESC8kFIQQQggRiISCEEIIIQKRUBBCCCFEIBIKQgghhAhEQkEIIYQQgUgoCCGEECIQCQUhhBBCBCKhIIQQQohAJBSEEEIIEYiEghBCCCECkVAQQgghRCASCkIIIYQIREJBCCGEEIFIKAghhBAiEAkFIYQQQgQioSCEEEKIQCQUhBBCCBGIhIIQQgghApFQEEIIIUQgEgpCCCGECERCQQghhBCBSCgIIYQQIpAywYdEsqlUqZJp0KCB2Xfffc0ee+xhNmzYYJYsWWJWrFiR6ksTQmQAe++9t6lfv779H9auXWsWL15s/xeisMijUEJUr17ddOjQwVSuXNk23Hnz5hnP88x+++1nWrRokerLE0KEHARC+/btTfny5c2CBQvsxs/s45gQhUUehRKgTJkypk2bNmblypUmJyfHCgRAMNSpU8e0bNnSrFmzxh4XQoiCUrFiRdOsWTOzaNEiM3fu3Mh+fm/SpIk9ho3ZtGlTSq9ThJO08SiMHj3adOrUyYwZM8ZkGrVr1zalSpUys2bNiogExx9//GHWr19v6tatm7LrEyKTyWTb4sB+bN++3Xoqo5k/f749JhsjQu1ROOWUU+yo26+EY7Ft2za7Oehgw5KbwLXu2LEj5vFVq1bJNShEMZDptsVvY1avXp1nIALs4xhhTyFC61EYNmyY+fjjj637LB6DBg0yVatWjWwkBoaB3bt3W2MVBMc4RwiRXDLdtjhkY0TGCwVmASRCv379zLp16yIb8bcwgMcAQxVL0TP7oVatWvYcIURyyXTb4sB+VKtWzZQrVy7PMfZxTDlQItRCIVHI4K1SpUquLSyNmCSitm3b5rpmPg/7UPskNgohUkNYbYtj2bJlNrTZrl07U6FChch+fmYfxzhHiNDmKGQDkydPtg32oIMOMlu2bDG7du2yccWdO3eaKVOm2H1CCFEYsCPOxhxyyCGR2Q14Msm94BjnCFEYJBRKCLKOJ0yYYF2hruDS0qVLzfLlyxU7FEIUGcTB2LFjbc0WV3CJWgqEHGIlOQqRKBIKJQzZx2xCCJFsEARUelW1V5GxQoH5vkIIkWxkW4TIkmRGIYQQQpQsEgpCCCGECERCQQghhBCBSCgIIYQQIhAJBSGEEEIEIqEghBBCiEAkFIQQQggRiISCEEIIIQKRUBBCCCFEIBIKQgghhAhEQkEIIYQQgUgoCCGEECIQCQUhhBBCBCKhIIQQQohAJBSEEEIIEYiEghBCCCECkVAQQgghRCASCkIIIYQIREJBCCGEEIFIKAghhBAiEAkFIYQQQgQioSCEEEKIQCQUhBBCCBGIhIIQQgghApFQEEIIIUQgEgpCCCGECERCQQghhBDpLRS+/fZb06ZNG9OwYUNz+umnm5UrV6b6koQQGYBsixAZIBTWrVtnzjvvPDN06FCzcOFC26Bvu+22mOdu27bNrF+/PtcmhBCxkG0RIjmU8jzPMynk3XffNU888YT56aef7O/Tp083Xbt2NWvXrs1z7oABA8zAgQNjGoQqVaqUyPUKIcKBbIsQGeJRmDNnjmnatGnk90aNGtnGuWnTpjzn9uvXzx5z26JFi0r4aoUQYUG2RYjkUMakmD322MOULl061+/+//2UL1/ebkIIkR+yLUJkiEehfv36ZsGCBZHf+blWrVpmr732Sul1CSHCjWyLEBkiFE4++WQzadIkM3HiRPv7008/bXr37p3qyxJChBzZFiEyRCjss88+Zvjw4aZXr152BMD0pbvvvjvVlyWECDmyLUJkyKyHosAUpqpVqyozWQiRVGRbhEijZMai4DSO5jyLbKBy5cqmVKlSqb6MrEC2RWQTlfOxLaEWChs2bLD/N2jQINWXIkSxo9FtySHbIrKJdfnYllCHHnbv3m2WLl0aupEWoxQMEHO1ZfhLhky452F7zsOMbIvIpnteOZM9CsyHJkkprPBQhfXBCiu65yIRZFtEQamSwfc85bMehBBCCJG+SCgIIYQoERd9iCPdWY2EQgqgVGz//v1VMrYE0T0X2UC6PucHHXSQOeWUU8zixYsjOSCZQvkU33OXeFuchDqZUQghROp54YUXzLhx48ydd95pF+JCCLg1NX777Tfz4IMPmt9//9306NHDrtQpCs+YMWPMfffdZ1dBpSx5t27dzHXXXWcOO+ywXPc9mcijIIQQIi5r1qwx33zzTcQj4MaX7n9EwCuvvGI3IIN+165d9uepU6fa8x599FHz+eefm++//z7Xa0VeEAFDhw41119/venSpYu54IILIsulz5w503zxxRfm1VdfteXJGzZsaB5++GFTnEgoCCFEFuPvsLdv355rnwsRvPPOO+aEE04wTz75ZK7XIQhycnLs6+666y7zww8/mG+//dbud9PtNm/ebLZu3WpOO+00c/7551s3fbbj/e/+4hF47733zN///ndz7bXXml9//dXu555eeeWVtgz5Aw88YA499FBz0UUX2WOdOnWyVUNbtGhhatasaUXFeeedZ48VhzfBvm+xvKsQQohQQIc+efJk07JlS3Prrbfm6sjoeLZt22Z27NhhunbtajsyRra8xp2D52DkyJGmb9++dvR7//33R16L0Pj555/N6aefbr0S1BsYPXq0+eSTT0w2CbA///zTfP3113ZhsvHjx9v7R92FI4880oZlKlasaD0DZ511lj2/devWVggMHDjQHHPMMaZevXqmY8eOkWOIL8RDnTp1zGeffWbv85YtW4r1wwghhMhgNm/e7D3//PPegAED7O+7du3Kdfynn37yypUr5x199NHejz/+aPft3r3b/r9u3Trv+OOP97766ivvnnvu8Q477LBcr/3oo4+8c845J/J7pUqVvA8++MDbuXOn/b1Ro0Z2X8OGDb1OnTrZ9zryyCO9efPm5fo7mXKfx48f702dOtX+vmnTJu/CCy/09t57b++YY47xLr74Yq9Dhw7e3Llz7ec+9thj7b2HrVu3erVr17b3G/bff3/vjDPOsN9JhQoVvNdeey1yrEmTJt79999vv8clS5Z49erV81588cVi+1zyKAghRAawceNGm1AYK/7PMUb8//rXv8wvv/ySy0XNaHTChAnm6quvtqNXkg3Z50IHZPMTCz/iiCPsCJdVOHmfnTt32uMjRoww06ZNM0cffbTZf//97f7BgwebOXPm2JE0has4Hzc7iXiMrBn98l6cG6bKl364D+5eky9AEucBBxxgrrjiCnPDDTfY+1yhQgXrLeDe43V57bXXzMKFC80ff/xhP/e+++5rcxHuuece06FDB3PVVVdF7kerVq2s54CwBF6Zxx9/PJKLgPcHTw/fY926de2S6kHffTLISKHAjWrWrJl1d0VDg6F61o033hjztfPmzbM3n8SbWJCIwxf5/vvvxzzOg8BxGl4saBzlypUzy5cvj3n80ksvNTVq1LAPQSxojDyMBf3cyfjsRaFx48bW7UhjogEQ8wTuVZMmTezG5yK+CfPnz7fX0rx5c/vazp07W/cofPfdd/Yecoz3PPbYY60bD2iwNEx37JxzzrF1zAEDSGyPe8QxYoAuJnvJJZeY6tWr22ONGjWy2duuwR111FGmdu3a9trZnnrqqXw/V7zPJkSyITTw17/+1cavSSyM7nxp+3TYuLYfeugh2wEBzzjtjHaDG/z22283c+fOtXFzl4z45Zdfmvbt25s333zTvPHGG7a0NR2Wa4/YMtoBnSF2EXFA+2QmBDkNZcuWtdcFzq7985//tB1gmTLhKQ6ck5NjlywnBICNOPvss20YhXu9atUq07ZtWxtWmDRpkv0+xo4da19H2IB7+umnn5o77rjD3mdsAvAa8jpWrFhhvz/6Db4DwBaxkdvB/b/sssvMlClT7DFCPO5nXovwIiRRbHgZCC4yXFyVK1f2Fi1alOvYkCFDrCtnn332sW6iaPr162ddRK1atYr53j169LDHTzjhhJjHu3TpYo9fddVVeY7himvQoIE9/uCDD+Y5vnbtWm/fffe17/HWW2/lOT5z5kyvcePGXrNmzbyff/65QJ87GZ+9KOB+/OWXX+zPo0ePtq444BH8448/7M+vv/66d+CBB9qfcUuWL18+8vp7773XO+uss+zPo0aNilwj7rvLL7/cu/nmm+3vr7zyinfiiSdG7jduzieeeML+3r9/f+/qq6+2P2/ZssXbb7/9vA8//ND+3rt3b2/QoEH259WrV3vVqlXzfvvtN/t7t27dvOHDh0euq3Tp0t6aNWvifq54n02IwvDdd995devWta7tWLRs2dK76KKLbBgAW+J36//jH//wrr/+em/x4sXWbf3yyy9HXofL+4gjjrDPL/Ts2dM79NBDvbFjx9rfCVfsueee3lFHHWXd6EOHDrUuc2zc9OnTbRjhs88+y3Utn3/+uTdw4EAblnCudUc6hxqwi7TVK6+80uvcubMNs3z33Xf22Jdffmlt77/+9S/7+w033GBtz44dO7wRI0bYez9p0iRvxowZ9v58//339rw333zTa9GihXfQQQd55557rveXv/zF2ivuwxtvvOF17949ElLgfhFumDNnjn3P4447LnJtjzzySMS2cb9LlSrlHXzwwfb7vOaaa7zt27cX233JSI/Ciy++aEeIZ5xxhlWu0cf69Olj9ttvv1yjP8ANxvQeEk5Q3Ixc/aAamd7DOST0MAL3wzQg3GvPPvusGT58uFXxfpjSgpuoX79+5qWXXsrjIkKtH3/88VY5DhkyJObn6t69u50qE3Q86HMX9bMnkxkzZlgPgR9cnbNmzcqzHxj1o8hjHdu0aZOdshXrGNnAfGcuCcgPoyBUf7t27fIcc4u7MEqKhmts06ZNzJrusT5Xfp9NCAejQkbqjEhj8cEHH1hvGW79ZcuW2X3OhuDmZ+R6zTXX2PYwbNiwXK8ldIDHi3OwP4QLXBvHltG+sBt4xxg5k3iIHQM8BGTcjxo1ynoVsE8kPWL/Xn75ZestY8TLtbjrwRWOO533JAnSTzqEGnD/YwNvu+02OxODzwbYC0b0fBd8Nryzjz32mJk9e7Yd3R944IERbwB2EluKV6RWrVr2HvK52bAteJ+5j3g3uUfYbDw12GDO/eijj2whKv6m8zAzi4H7z/fE98V14VEgLIG3xnl78aKSEMozwXs9//zz1nNTbHgZxrJly7yKFSt6q1atsiPs+vXrR5JqUOIki/A7o2tG7n7ee+89r2PHjpHRNd4DPyg61CBwjHP8oDBvvfVW+zPvzd/wc9ppp3nPPPOMTUDhurg+P+3atfM+/fRTOxrYa6+9rDL1q/7q1avbJBk8CyS3uFFtfp87GZ+9qDDyZqtVq5b1mnz77bd2P49g8+bN7T6SnSZPnhwZuaOY8RxUqVLFO+CAAyJeEjwKJF5xjPuEl8TdCzwK3AdGV2XLlrWfg3vnPAqM+BkV4BW45ZZbIkldeBRq1KhhPTZlypTxHnvssci141FgJMc95e8570K8zxXvs4nshRHrn3/+GXNUjZeQ5/Lkk0+2CWrAee4ZZeTOaB4v2eDBgyPHgTaNJwDeeecdO3L95ptv7O/r16+370kbYuTJCJS2xQgY8F4y4l2+fHnkb/36669e27ZtvZtuusk7/fTT7d+Fbdu22f+xI7G8kukGHr2vv/7ae+ihh+wI39lEbF2dOnVsO7/rrru8U089NWKPzz77bGsPgQTCSy+91H5u7A+jfxIHac/YBN4Xm8v3xf1/8skn7etIVsQDiucYe857vv322/YY3gPs77///W/rvWzfvr31YODtZD9Jp8B3cd9991mvA7bDb89LmowTCnwxfCnuRvNlfvzxx/Z3XGV/+9vf7M90LLjT/MabcIL7onNycqzre8WKFZHjdEy4huCLL76wHa9z99Bo6IR+//13+ztfNtmtDh4y/p57v759++bKFMZI0FHhxgIeyL///e+R4zRmXFcOQgxPPfVUQp87GZ+9qPhd9PzPvVq4cGEu9zxhAO7Bxo0bc4UeMIZ81jZt2uQJPXC/+vTpYw1hdOiB74TGe+211+YJPdBACbPgko0OPdDoMZIY3OjQAyKN733MmDFxPxcEfTaRvdBJ0xk40esXAgj0G2+80bZF3PZ+aA902MxIwBbQsdEBOggP8DwzYOC1hM7coGbatGk2gx43Oe2I3wkHIA6efvppez6vddfjQnMjR460A4xk2oHigtkFiBsGYsy4AOwngogBGvaU/53gwS64gR7tFVvsQi8MIBhMcI8ZpPTp08faEjYGgmeeeaY9b+nSpXYggu0Avjv/4JGB4+23327vKX+P68GmEAIihMM9duchRrC/P/zwQ6QPSCcySijwhdAQMdaM8NgYXfKAbNiwwU7RoQG5Y3SWfElOAaLmMebuOCNSvAiuc9pjjz28mjVr2mP8z/lOedJBMRJ1r+V9eEhdPJFOio7PHec6eH/XkfCw4SVwx8kj4Bw3GqazIvfAHecBpvHn97mhqJ89Gfg7VKfoP/nkk1ydKeA1mTJlSp4cBTpYzuWz+IUC4GXhs0ULBcBDQxwvWigARoWRV7RQAAwCBsPde78XAQOMgY33uSDos4nMhSlrF1xwgW1T0dMQ6eTpsFq3bm1zbhxupHjZZZd5DzzwgBX45AM4j4CLj+NJAEao559/vnfSSSdF2gbPNW0Wm8AxOje8ajyLCAPsQTQ8/7yOzmvChAleWOHasb0MnvjsxPX5bMOGDfMOP/zwyHmM2rEBQKdMvhjCiRH9eeedF+mg8c4w0KJdT5w40d4jvJbudc5mAPcOTw/w3TEoWbBggc3R4DXuvmJL+DsIEqaYMuAIExklFHAdMdrzK7LZs2fbhwjF7ToMB25iOleUIkrQ/wAACT80NkA5uo7DwRfuGi+jBNd5OJgzy8OJIcBt7ToQBw8YDxcjfESCvxPBwOAGJxGGEAQd+8qVKyPHcV/R+TMyiPe5Ucs8+EX57MnA36FiuBBCNCh/Z4oAoMPnmqKFwquvvmoNrDvPLxQYETmjGZ3MyCgKd2usZEZeg+swWihgiEk8dK5Cv1Bwc5bdZwn6XBD02US4IckPd7WbK09bdSNxnjcGCH6PgBMCeBl79eplhQD2wh+mIsmQY25Uy3PJc+dglMz70tnQieH65jmkQwLaqv/9gPAEdodO84orrrD2getM52TCwsDInuRLx8MPP2zFGomWDK7GjRtnhRNeE84F2iz3k++R7wVvq7ORCDQ3CHO2tHr16tZm4FFmAOZsLZ4CF6bkPjOA5Lvgu8OGRterCCsZJRRQa9F5A4BbmjBAdM4AkPlOoQo62uicAYw68eV3333Xdlr+nAHXaRArJzue2LU/Z8AZFDpzDEN0zoBTo3gCULXROQOAW5wHDpdVrJwB1CsdXLzPTedYlM9OB5cM6FC5B02bNrVufecepDNFEHEfaKi43vw5CrgAOYaocoaZa2L0xDFei4vQuXIRCogudwwXn8sA517giXHH8Ki40BH3kY6cY1yj39DzHeBlYT/uWv+9DPpc8T6bCCeu/dIueTadR851vIwe8QrgLSDrnRg0uM7i0UcfjbRjfnYjUWdLeP7uuOMO26mT24JtIfMdGKQwWqbTc2KT96DtEnvnuUZsAM80fxN3PKGITIfPSxsjHPzcc89ZLwJCgI6d74nfuXfcV74XvJLkiTD48oONJ+yKN4h8DjcT4eWXX7ZhXewI95p7jljDViAU3GCA47x3JpJRQkEIIYoTclsQAoQQTjnllMhUOaBzovMgXEiHT/jAQTIcndVLL71kRTDeRzoxl/OEZ5BRK549vIxMyUPYIjDJEaAj9P8txAkdIcluCGhX5TBbIRGcHCbyOPDqMN0T70HVqlWtZ8GBcHfeQQS+mwJNIievJ8+B5E8GBAykunbtar0L5GsAXl0GgC4PKVvQMtNCCFGAanxUL2SaIJX2mHI8ffp0e4wp0UyBfv311+2U2L322stWJGSKHUWNKNrF4kgUVGOqHVX7qNBHQSMKEy1ZsiTPtGemxTHNkL9B8bBiLaoTYpiyyfdCQSRgmnnPnj3NoEGD7BRIqiUC6yNwDsWNKFrE1EaWZ+Y7YOo5U0eZ9vjxxx/b4lBMrW7Tpo39/twiWNmIhIIQQiQIVQm7detm62IAHTedznXXXWfrm1CiuFq1araGB3PoOf7WW29Z4XDxxRfbMryHHHJI5P0oeXzmmWeaH3/80QoK6hO4ssalS5dO4ScNF5RBpo4JNSaAug908HxfiCzEAjUHqG2DeKCyIrVsWDqbSokIsoMPPthWlBR5kVAQQogEobANGx0Lnc6HH35oC/C8/fbbtjx75cqVzU033WSLdVHHn/LfFBziXMqScx7FuvAs7Lnnnra4Dq+hwE62jlaTAUWquO+33HKLLWHN2gh4aRAPFKE78cQTrXBAlFE0SRQMCQUhhEgQvAeEF+h8GJXiXaCSHzX6EQz8zD4H51LVj04KMcD/jmx2ZScb1nOhyiprJ1DR8KSTTrKbSA4SCkIIkQAsknTeeefZsrt33313ZD+L/9x333025s3qf+QgCJFJhGfpLiGESCGEC4Dllp1wII+AlRFZGVCITEUeBSGEEEIEkpGrRwohhBAiOUgoCCGEECIQCQUhhBBCBCKhIIQQQohAJBSEEEIIEYiEghBCCCECkVAQQgghRCASCkIIIYQIREJBCCGEEIFIKAghhBAiEAkFIYQQQpgg/g+HbjPAEm/0UgAAAABJRU5ErkJggg==", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(3, 1, 10)\n", + "data2 = np.random.normal(4, 1, 9)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust(wspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0],\n", + " labels_name=[\"AAAAAAAAAAA\", \"BBBBBBBBBB\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"名字过长\",\n", + " title_fontsize=15,\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[1],\n", + " labels_name=[\"AAAAAAAAAAA\", \"BBBBBBBBBB\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"锚定中间旋转\",\n", + " title_fontsize=15,\n", + " x_tick_rotation=10,\n", + " x_label_ha=\"center\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "55f219d6", + "metadata": {}, + "source": [ + "### 关于y轴" + ] + }, + { + "cell_type": "markdown", + "id": "8b97b91c", + "metadata": {}, + "source": [ + "`plot_one_group_bar_figure` 默认会自动计算最高点与最低点之间的距离，并将其设置为 y 轴长度的 0.618（即黄金比例），以优化视觉效果。\n", + "如果希望手动设置 y 轴范围，可以使用 `y_lim` 参数来自定义。" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "46bad6f6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(3, 1, 10)\n", + "data2 = np.random.normal(4, 1, 9)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust(wspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"黄金比例显示\",\n", + " title_fontsize=15,\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"手动设置y轴\",\n", + " title_fontsize=15,\n", + " y_lim=(2, 6) # 设置y轴范围\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f5ae41d4", + "metadata": {}, + "source": [ + "有时我们希望将 ax 的底端固定为 0，但不确定最大刻度的具体数值，可以使用 `ax_bottom_is_0` 来设置 ax 底端固定为0。" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "263a4042", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(1, 1, 10)\n", + "data2 = np.random.normal(2, 1, 9)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust(wspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"黄金比例显示\",\n", + " title_fontsize=15,\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"不显示负值\",\n", + " title_fontsize=15,\n", + " ax_bottom_is_0=True, # 不显示负值\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0db83a49", + "metadata": {}, + "source": [ + "有时我们希望将 y 轴的刻度最大值限制为 1，例如当 y 轴表示经过 Fisher z 转换的相关系数时，可以设置`y_max_tick_to_one`来固定 y 轴的刻度最大值为1。" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "97cd4fa2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(0.9, 0.1, 10)\n", + "data2 = np.random.normal(0.9, 0.1, 9)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust(wspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"黄金比例显示\",\n", + " title_fontsize=15,\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"y轴最大刻度取1\",\n", + " title_fontsize=15,\n", + " y_max_tick_is_1=True, # y轴最大刻度取1\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "9befad96", + "metadata": {}, + "source": [ + "有时我们可能希望更改 y 轴的显示格式，例如使用科学计数法来呈现数值，可以使用 `math_text` 参数来设置。" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e4b4c024", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(10000, 1000, 10)\n", + "data2 = np.random.normal(11000, 1000, 9)\n", + "data3 = np.random.normal(0.0001, 0.0001, 11)\n", + "data4 = np.random.normal(0.0001, 0.0001, 12)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(6, 6))\n", + "fig.subplots_adjust(wspace=0.5, hspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0,0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"科学计数法\",\n", + " title_fontsize=15,\n", + ") # 默认y轴使用科学计数法\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0,1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"无科学计数法\",\n", + " title_fontsize=15,\n", + " math_text=False, # 手动关闭科学计数法\n", + ")\n", + "ax3 = plot_one_group_bar_figure(\n", + " [data3, data4],\n", + " ax=axes[1,0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"科学计数法\",\n", + " title_fontsize=15,\n", + ") # 默认y轴使用科学计数法\n", + "ax4 = plot_one_group_bar_figure(\n", + " [data3, data4],\n", + " ax=axes[1,1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"无科学计数法\",\n", + " title_fontsize=15,\n", + " math_text=False, # 手动关闭科学计数法\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "73bc503e", + "metadata": {}, + "source": [ + "有时我们希望将 Y 轴显示为百分比格式。\n", + "\n", + "!!! warning\n", + " `percentage` 格式会与 `math_text` 冲突。\n", + " 而`math_text` 默认打开，需显式关闭。" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "7f80a7f7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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++uoru2kNG9g4Bg4cGDjzzDMDBw4ccG0e4vc89NBD2RqIaN4sV65csMmzWrVqgbfeeivYuOSlYTT8snnzZtf/57Bhw7Lc7rTTTgvcf//9nh5XET8ZNGhQvh6LEydOzPY3aN4OvQ2N18SOnTt35uq+Ok2Z27Zts42ZsV66deuWrSlzxowZwftDIze/MxSxqkSJEoEiRYrY2xQrVizQvHnzwAcffBD1Pnbu3DnQoUOHiDEJn376qW12LVy4cLbHr0KFCoGHH3444EeF+CfRSY3kPxosWTtOU2ZOzYtkzew1T9UhHEtJ2fiqS5cuJlkxJ+m8jGMp5YpI/I5DLsmy/wKVF6Ymctrem2kXqrGxnBiReKmpUndKKERERMQzrfIQERERz5RQiIiIiGdKKERERMQzJRQiIiLimRIKERER8UwJhYiIiHimhEJEREQ8U0IhIiIinvk+oWDfLk7Sov27RCQ/KbaIpFlCwdbRpUuXth9FRPKLYotImiUUIiIikiYJxfz5803Dhg1N9erV7alxOR99+Clozz77bFOrVi3TsmVLe9pYERFwOuh69erZU0hfeeWVNn4cOnTI9OjRw1SpUsXUr1/fTJgwIXgCq+7du5u6deuaFi1a2NN3Y9u2baZ169YmMzMzwf8bkdSV8IRiz5499kyW48aNM5s2bbJJBeeXD3XbbbfZ63766Sfz4IMPmj59+iTs/opI8iB+kDh8+OGHZuPGjaZatWpm6NCh9iyT27dvt9e9//775u6777bxY968eebgwYNm7dq1pnfv3mb06NH29xBTnn32WVOiRIlE/5dEUlbCE4q5c+eajIwMOzpA3759zYwZM7LchhGGM09JAGF0EQkjExqlQi8i4k8kAFQh9u/fb09BvW/fPhsfpk6dapMITqNdp04d0759ezNr1izbQMnt+EhiUapUKTNx4kR7m5xOca3YIpLkCQUlx9q1awe/pmxJ0kCAcDz++OO2MlGuXDnTv39/+3UkQ4YMsY1SzoURi4j4U7FixcxTTz1lmjZtauPDihUrTLdu3VzjypYtW2xiUbZsWdOoUSM71Up19KWXXjJPPPFEjn9LsUUkyROKwoULmyJFimT5OvQjo4JLL73UvPbaa3ZulI9XXHGFvd7NgAEDbELiXDZv3lxA/xMRKWg//PCDueeee8zq1avNrl27TLt27cxf/vIX17jC13wcM2aMWblypa2EDhw40AwfPtyMHDnSdOrUyXTt2jVbD5dDsUUkyROKqlWr2nlOB59XrFgxOJf5/fff2+SBZk3QdMXXy5Ytc/19xYsXt2XM0IuI+NN7771n/vd//9dOWZAs0Asxffp017hSs2bNLD9LoybTrUeOHLHxZObMmTYhGTFihOvfUmwRSfKEokOHDmbp0qVmyZIl9utRo0bZkqWDQLF7926zcOFC+/Xnn39uRyKh5UwRSU9NmjQxn332mfn111/t15MnTzaNGzc2nTt3trGEVR1MfyxYsMBObziY/hg7dqwZPHiw+e2334IV0aNHj9qLiOReUZNgZcqUMZMmTbKlRpqc2rRpY7u0hw0bZkqWLGl69uxpl4XxkcZMrqPh6rTTTkv0XReRBPvTn/5kqxKtWrWyiQANmW+99ZY5/fTTTa9evexScyoLTHOExgxWeDDNwfcY1FCtYPBCg+eUKVMS+n8SSVWFAj7fN5YkhQYq5jxVohSR/KLYIpJkUx4iIiKS+pRQiIiIiGdKKERERMQzJRQiIiLimRIKERER8UwJhYiIiHimhEJEREQ8U0IhIiIinimhEBEREc+UUIiIiIhnSihERETEMyUUIiIi4pkSChEREfFMCYWIiIh4poRCREREPFNCISIiIp4poRARERHPlFCIiIiIZ0ooRERExDMlFCIiIuKZEgoRERHxTAmFiIiIeKaEQkRERDxTQiEiIiKeKaEQERERz5RQiIiIiGdKKERERMQzJRQiIiLimRIKERER8ayo918hsTh+/Lg5cOCAvaBEiRLm5JNPNoULK6cTkfx38OBBs3//fnP06FFTrFgxG2/4KBIvSigKwLFjx8y2bdvsZd++ffa6k046yVSsWNFUrlzZFC2qp0FE8s/u3bvN5s2bzZ49e4IJRdmyZU21atVsYiESDxoeFwAOag7uvXv3mkAgYC+MHLjut99+S/TdExEfOXTokI0tu3btsskEDh8+bAc0W7ZssQMckXhQQhFnJA8c2JQfwx05csTs3LlTB7iI5BuqoAxi3HC9M+0qkt+UUBRAQsHoIBJGEEooRCS/EE+cyoTbIEbxRnydUMyfP980bNjQVK9e3XTs2NGO2h18Xrdu3SwXGhkXL15sUgH3NdqcJc2Z6qEQyZvZs2dniQ30CJxyyim27N+jRw9TpUoVU79+fTNhwoRgc3T37t3tbVu0aGHWrVtnr2c6oHXr1iYzM9OkuhNOOMEUL17c9Xtcz/dF4qFQgCF0AlGCq127tnn33XftAd23b19bkhs/frzr7efMmWOeeeYZm4TE4o8//jClS5e2f6dUqVImEfjba9asCTZkhiYT9erVs81SIuLdQw89ZBueCWuLFi0yM2fONBs3bjRnnXWWWbp0qfnxxx9tbJk8ebJ5+eWXzcqVK83w4cPNNddcY/r162fOO++8mP9WMsSWSFUIEiWSpPDBDYO2GjVqmEKFCiXs/ol/JXxoPHfuXJORkWGTCZBQ8LlbQsHoon///hGTDTAy4RJ60CcawaZmzZpm69atthmTYEfVolKlSubUU09N9N0T8YVNmzaZadOmmeXLl5uzzz7bjBw50lb/6tSpY9q3b29mzZplYw0lf45B+po4NidOnGhvk1MykYyxxQ0VCBKHIkWK2NUeJBhUJk477TS7qkzJhPg2oSCTpkLhIHsm4+eNN3yq4O2337YlTUqVkQwZMsQMHjzYJBMO4HLlytng5ZRUTzzxxIhlSRHJvaFDh5revXvbCoVbXGGFw1133WVmzJhhGjVqZJOLJ5980txxxx3mo48+yvH3J2NsiYTHgCSJOEoCRZLBdUomxNcJBWU4MunQr0M/hmKqY9iwYVF/34ABA8x9992XZRRBEpIMWAuujWVE8h+9Vgw4mFqMFFd4M+XjmDFjgtd36tTJTnlQzfjqq69s/wWfMwBIpdjihv9ryZIlE303JI0kvCmzatWqdo7Tweds+ER/QajvvvvOBo22bdtG/X2M+qkEhF5ExN/eeOMNc9lllwXfQN3iCtOOoWjUpErBlMCyZctsv0W7du3MiBEjXP+GYotIkicUHTp0sM1SS5YssV+PGjXKdOvWLdvtpk6dahunRETc4sO1114b/Lpz5842ltB3xfTHggULTJcuXYLfZ/pj7NixdgqDzeWciijLLSMtuRSRJE8oypQpYyZNmmS6du1qRxVUIR555BE7tRFamvzss8/Mueeem9D7KiLJh+ZKlpGHxoeBAwfaKmetWrXsoIVYQlOig14LpjaoOvB9epvoOXjzzTfNPffck6D/iUhqS/iy0XhL1qVdIpLaFFtEkqxCISIiIqlPCYWIiIh4poRCREREPFNCISIiIp4poRARERHPlFCIiIiIZ0ooRERExDMlFCIiIuKZEgoRERHxTAmFiIiIeKaEQkRERDxTQiEiIiKeKaEQERERz5RQiIiIiGdKKERERMQzJRQiIiLimRIKERER8UwJhYiIiHimhEJEREQ8U0IhIiIinimhEBEREc+UUIiIiIhnSihERETEMyUUIiIi4pkSChEREfFMCYWIiIh4VtT7rxDxh+PHj5vMzEz7ebFixcwJJ5yQ6LskIj529OhRc+jQIfv5iSeeaIoUKWJSmRIKEWPMH3/8YbZt22Y/BgIBc/LJJ5sKFSqY0047zRQqVCjRd09EfOb3338327dvN/v27bNfn3LKKaZSpUrm1FNPNalKCYWkvf3795sNGzaY3377Lct1XBgxlClTJqH3T0T8Zc+ePWb9+vVm7969wetILKiQ1q1b15QsWdKkIvVQSNrj4Ga0EI6EYseOHXYqREQkPwQCATt4CU0mQmNR6MAm1SihkLTHQcxB7ubAgQPm8OHDBX6fRMS/fRN7XZIJB987duyYSUVKKCTt0YAZCVMehQvrMBGR/FG4cGFTtGjkbgO+l6p9W4qUkvbokShevLjrgU9TZrSEQ0QkN4oUKWLjiltSwcoyvpeqg5jUvNci+ahUqVKmatWqpkSJEsHrSCJOP/10e3CLiOT3IKZy5cpZBjIsG61SpYpWeYikMkYKHNwkFsxfOstG6bTWXhQikt+KFStmqlevbhMLVncwxcGyUS7RpkOSXVLc8/nz55u+ffvarvpmzZqZ8ePHm3LlymW5zdixY83QoUNts8pFF11kxo0bZ/xo69at9hIJo2Yukv9lyNKlS9uLpBaaZh988EEzbdo0mwA+/PDD5pZbbjF9+vQxc+bMscnhwIEDTbdu3eyKndtuu818/vnnNoHkZ+rUqWP3ILnmmmvMRx99lKVS5SeKLcmlaNGiNqHw1bL0QILt3r07ULZs2cAXX3xhv+7Tp0+ge/fuWW4zc+bMQOPGjQObN2+2X+/fvz/m379nzx7a9+3HVDBo0CB7fyNd+L6I/J977rkncP311wcyMzOD8eGxxx4LXH755YEjR44E1q5dGyhdunRg/fr1gTlz5tjbYuzYsYF7773Xfn711VcHFi5cmKu/q9giklXCKxRz5841GRkZpnXr1vZrKhV8TpXC8cQTT5hnn33WznPjpJNOivj72MbU2coU7HyYSnr27GmuvPJK+/nKlStN165dzRtvvGEaNmxor9MIQuT/7Ny507z++utmzZo1dg7aiQ9Tp041I0eOtKNAKhDt27c3s2bNsrGGKifTWgcPHrRViokTJ9rbnHfeeVH/lmKLSJI3Za5bt87Url07+HWNGjXsvgBMfzhrdr///nuzfPly06RJE9OiRQsze/bsiL9vyJAhwdI1l2rVqplUwkHN/5GLc6Dz0blOB73I//nhhx/sXDRTGg0aNDCXXHKJWb16tWtc2bJli00sypYtaxo1amSnWrt06WJeeuklO2jJiWKLSJInFCyPCT0hirNcxvnICISkgmYVgscLL7xgbrrppoi7iQ0YMMAmJM5l8+bNBfQ/EZGCRu/D2rVrTY8ePWwiQUJBr4RbXHH2FBkzZowdoc+YMcMmIsOHD7fVjE6dOtlROzHHjWKLSJInFExjbNy4Mfg1n1esWDHYGEVzJoHgxhtvtF8zHcJSPvZBd8MyHMqYoRcR8SdOpsS5D1q2bGm/vuGGG+zAwy2u1KxZM8vPTpgwwU6BHDlyxCxbtszMnDnTtGvXzowYMcL1bym2iCR5QtGhQwezdOlSs2TJEvv1qFGj7AjDwRzoFVdcYV577TX79aJFi+wyGwKBiKS3Vq1amV27dpnFixfbr99++23bC9G5c2cbS1jVwfTHggUL7PSGg+kPVo4NHjzYVjudiijVUC4iknsJb8pkycykSZNsqZEmpzZt2tjlocOGDbP7ANBI9OKLL9qSJgHCWerFFIhIQSyn4zXqbDZD5cxp/pPE47mYMmWKueOOO2z8oFrBknKqmL169TK1atWylQWmOUI3Kevdu7ed5uB7DGqoVtCYycZC/D6RvC5hPnDggG36Za8JpsaYlkuXpbqFWOphfIwgQwMVT2yqlSip2px11lnm22+/tU1TEh+PPfaYHalGQlJ766232s/Z04Aye/ny5VN2e1zJH4otEmr37t228uWc3IvBByuISFwjGTRokI0/fpHwCoVIsi6nY7S6adMmm0Q4ZxzlI8sNGX34akMaEckzqhIbN240v//+e/A6enPatm1rLrvsMjsASYelukooJO25lR3p0Ym0a2ZmZqadt+f7qlKICNWqPXv2ZLueqVKWKbOk2eEs1fUjRUMRF5QsSRwi4Xs0/ImIRIsHhw8fTptGX1UofIpyG6th2CCMUbRz4hmNqGPD4+R2SnMH39NjKQWNljeOaY5tjnHm6Wlej/Zalfjj8S9UqJB9fsJxfplUPuFXbqTH/zLNsD0wm+7s2LEjuFUwfQBOaT90wx9xR7LAqgCmNkK3W3aCB99TQiEFiTcrjumff/45eFZc3qgoqbNbqFa+JQ5NuSVLlsy2HTuxlliRLgmfEgofYqe/X375JUsJjlENgYjEQs2EsQcJlhLScMWFIE4AZ5UHc6MEdK5npEjg4BwSStYkXnitsYog9E2LUvqvv/5qR8G8VpXkFhznfDB8JGGoXbu2bcwkThB7WdLMxow0ZIZPp/Icchuau6kyUd3wAyUUPsN8HS9Wkgbe3HjRkkwwx8eLn6VNSihyxmPIhkiUlgkAjD4IGIwCCRQEchI0p4LBY02SUblyZY0UJS54LfJm5YaGQI5xBgzx4gxQlLT8N7kjkWNVB48LSUH58uVtMzfPE9eRZPB8hA8yqB6ThBBXnKSDQQpJYapTQuEzzoYqvCHyoucFyxsdb4iUS53ljxIdI8FQBGsCAKNAsBEWS0q5zsHjTaLBbdKlxCkFh9dapMY/vhf6WsxPJMwMRNhRlL/P6iamWaKd9dnPiKEc+9u3bw/2TJDo7d271w46wisSDmfqlAoyj59zndPnxjL1VKeEwmc48BlZM+XhIJmoV6+efRHzuUTmBGznbLehCKjObotUJtwCOCMWRihKKCS/MThgsOA2KHC+F683T3Z7dF7vvCHyOmcX0nSsxjFY4zEIb8DMzMy0VQsGcG7VBgYcbhiE8PuILam+C69qVz7ClAYHPi/Q0K5iMmfK8/QERNpbQf4r2vIuAgjBhNuEN2o66KdQFUjigTdvBgXh8+28eTEqjsebEVMpjMRDk2eOAxJqtzfVdMBgI1KcyMzMjHj8R4oZzvf8sLRUFQof4cXMi535PPok+Jw3OAIQHxnBxHOO1Q9ymh8mUeM2kZaBMV+aLkvEpGBx/LKag49UInkDcubgK1SoEJe/6fydSMkGb57pVo2L1nhduHDhiA2W0eKCE1dSnSKfD/GCJnEg2DgjCw56PzT9xJtz0Lsd3M5228wdOwlb+AiNKlA6loGlYPDa4zTsVCM5tnlNxvMNPVoFgu+lY4WCY5znwW0K49RTT41YKYo0mCNeU3liIJjqUj8lkiBeyKGNUmTSBBwuzuoEiQ3zmaEJGEGbFRwEE5IN9vOgM9sJ5qH7AfghMEjy4vXHcV4QG1rxBhlpRM70abpVJ0AspYEyPNZWqFDBVKxYMWKlwYkLxBDnMSUmE1eIJX5YOqoKhY/wguWFyeiFi4OEghe6pjtix0HOqbDpmSBAOBvXOBUMggkd3QQRyr4ECCVt4jckDbzG6aMIXWFChY6pFj+8CeaWM6DgeHd6qoitpUqViun4Z9BRv359W2EiIeP3+GWa1B//Cwni4GdkTdOUc1ZMDnwCQDoe/HnFY0iVwlnVEek22tND/Iw3vBo1athkOnTZKMdFOk/tkVTwOOSlyf3E/9/34kd5SijYmKNatWr5f28k37aM5o3OWe3hh2Yf8Q/Fj9TilOUZrDjbfWtwIm7y9E5DU1C7du3M+PHjI+7cJolFEkF1QsmEJBvFj9REIkFVTsmERJKnd5tPP/3UNG/e3AwaNMjOzV9//fXm3XffjdtObSLiH4ofIv6Up4SiTZs2ZsSIEXYHtQ8//NB2vPbt29c2qvz1r381X3/9tUlHTDGwlJBLpC1yRdKd4kdqIZaxRNLZ10YkEs/18NatW5unnnrKjBw50s6Ljh492l7XqFEjM2nSJJMOmFekYenHH380K1eutJe1a9dmO5WtiGSl+JHc2EZ+/fr1NqatWLHCxjjOCaQBk+RrQsEuaW+88Ya59tprbccqI4u2bduaRYsW2fNI3Hrrrfa6xx9/3PgdjwUHHfu4cwBy4TH46aef7OcikpXiR2rsvLthwwa7bT+9LlQoSCaIdQygRPJllccll1xi50Fp+rv66qvN9OnTzcUXX5ylAfChhx4yzZo1MzfffLN59NFHjV+RqbOnvVviwLa1XNJ5eZVIOMWP1ECF1S1xINEgsWDTK7/snyD5I0+vBgIBHdqdOnWKegpbzkZ30003GT9jTtHtzJShJ5PiozqjRf5L8SM1UJWINLVBUkHsU0IhofL0apg9e3ZMt8vIyDAvvPCC8TNGVdFOFqM12yJZKX6khmjn/iHmKa5JOG1SkE87KkY6mVS0nRZFRJIVu0C6nZeGRIKN87TNvIRTQpEPOCkUS99IIBwciFyXl61ZRUQSjXNThJ8EiwEUy3vjdbp0SW2aAMun/e454QtZO82ZVCtoxGT/+2jTISIiyYo45pxhl34KNh7jJFjEtdDBk4hDCUU+IXOnUsFFRMQPnDPtchHJiRKKGNHV7JwSnBIgVQkRkVRG5YGloVQciGs69494oYQiByyb2rZtm920iuWhNCQxncE8IhvyqNPZXw4fPmw//v7773bJLyVeTVuJ3zhL3dm4ipVoDJBoIGeKQ4OlyA4dOhQ8tQJJmOJDVkoockD2vnHjRvtCCr2ONx5eUK+++mrctthmx0CMGTPGHuj5jZMzyf8hieC5BrucMldMkK1ataqCrBS4wYMH5/vvZAB03nnnmW+//dZ+vXDhQptUgMTirLPOsvGMrba98GNsYZPCzZs326oO521ilQvxgcZVrXj5LyUUUdCExC6YocmEg+ZL3oAqVaqUq4SCNybeoOiS5gBmKoXEYevWrXYDLEkMTn7EyarYEjr0hEhMc/E80XSrapQkAy8xhDdA+r24bTjeJLds2WJq165tz9mhs7/+Hx5j4kPozqFOfKBCUaNGDcUHLRuNjgPMLZlwUPrKzciV8hgjAJIQplDYE58XZd26dU3Tpk31gkwgRh1OMhGKxIIg4vTPiCSSE0M47XteYgjxitd0pNczAyV+h1Zx5C4+kHCIKhRRkXlG2y2OvSZyczpfzqBIgvL999/bZAWMCNirgmBAluuUHyV+mK5yTnbEc8zjz3WRthnmOXaeL5FE8hpDeJ3TeBkpYXD2nNBpyrPi8YhUsYkWH44cORKMNdu3b7fX+bnykxQJxfz5803fvn3tg84Jgdjnn4ZHx/PPP28ee+yx4JLM22+/3Z48KN4oJ3I/mNoIP8A48Nh3gobNWHAiHX7mu+++y/biI/OlBEmfBHP4mvqIz9wy85wtW7a0o7A1a9YEG9PY4plAvW7duuDcMh+dsnDNmjVtUPjiiy88Pzd+nFtOtGuuucZ8/fXXwV0dX375ZXsK9D59+pg5c+bYUf3AgQNNt27dbNJ42223mc8//9wuhZw2bZqpU6eOPY75PR999JHr7pDJIJYYQrN4tBiya9cu+4ZGlTQciQb9AEzzpmsC7RZbmFpq2LCh+eqrr1wr1kyHEku++OKL4KCEhI1Yw+2ZPiJ+OD1x33zzjU0unFiTX5IhtiR8yoMDoUuXLmbcuHF2joonp1+/ftkOgv79+5u1a9faS0EkE6FzjmT9NOg55+1gNFCtWjX7kUadWLAyhAPZrWzm/B+phqjUGD/MO3PAL1++PMsJ3UgueF54nsMff74m0SMAKNFLThw7nLHUiQ/t2rUzTz/9tH3OeHN9//33zd13320bbefNm2fL/dyud+/eZvTo0fZ3kHw8++yzSZtMxBJDnOWf0WIIr3+mScqXL2+/5v9LTGOw1rx5czsloippViRYPO4MLMIRs0nCmH46HlLhJGbwfkEliWQiFI8/z6UfT8uQ8ArF3Llz7QiREQWoVPA5VYrQgEGiEQsywtAs0usKDA42XhyMDkL3oeBAzE3PAy82XmBc3Errzln7IpXdxTuCKCPR8JIjX9PVzuuuQYMGwWoGoz1edzwnzuoPST7Eh9CKJqZOnWpGjhxpjysqEO3btzezZs2ysYbnm+SQ45kqxcSJE+1tWP1QkLElt/IrhjBSdiquVObq169vP6dyxxtgpLMnpyseTxJQYgMJxM8//2xfBwwoGYQgPAkrX768TTLcKj08zly4Da9dP0l4hYIyM13FDp4gMvDQFzUZHlMeNB517do1WDpyM2TIEPtEOxcqCV45W2kTtLiQUOS2gZLRAz9DM5Ub3rz4f7rNXTpLk7QLp/GcHDr7TITjNbVjxw6bOKJx48Y20PI6XLp0acSfk8SjKfHiiy+2z9mAAQPsMeQWV+g1ILHgOOKNlKlWqqMvvfSSeeKJJ3L8O/GILfkZQ5jGCI8h3N6JH5TunT0TeK071bkVK1bY8juX8NG0/BcDER4nYj/T8uecc45NMJz4ED4VUiRKrAHf8+P+FUWT7fTfzk5toTu2TZgwwX7kybv//vvtXCilSzcElPvuuy/LKKKgD3w3jIYowZIUkbU6BzT/91q1atl+jP/85z/ZkgxQaiM48pg4c3Khy5ckNrx+eJwZYbiN7hiJEGCxevVqO3pQIpH8KCGDhOHaa681zzzzjGtc4c2Vj+zr4ujUqZMZPny4rWYwR87Agc/DKx7JEFucGEI1JVIM+eGHH4K3J5EgKWYKxKluUJ1hatkZlPF/cH6PRMfjxIXXCI85z0ekVYAHDhywz4fb9JGznXm0gXGqKpoM89rMcTooLZOBu81l0lzFlMiFF14Y8fcxB5ismxCRCPDG5XRqc+HFSaCjpMZcXeiIynkzW7ZsmW244v9PYtGkSRPbmFXQJddUxwFMyZtAG15q5HHleXCeA0qSOn9BamEUfvPNN5tPP/3UxhViiTPvzecXXHBBltszUOH1wIieY2zmzJm2l2vEiBHm73//e1LGlpxiiPO6ptJGxYaBB70jJNMkFjwuJB/qk8g7YkMssaZx48a2KsTUR/jrlOdQCUUcdOjQwTZELVmyxLRo0cKMGjXKViBCMVqkvER2/corr5jzzz/fpCJGCYwgaPB0NqUhAFBOCx0Jk/0yd0/XMJwSJkGBnz/zzDNtoCQISuwY3THy5EBnpMFjz3NAqZjnZNWqVWnb3Z6qODbYvZCEkAbpKVOmmOuuu87Uq1fPxhJiBW+oCxYsCDZgOtWMsWPH2mmPDz74IFgR5flP5tdArDHEWZkUWrHg+1RzSD6c6qfEx86dO+1zwuoQeiX42onjPG8kf9H2OEpVCU8oKAtNmjTJ9kYw4m7Tpo0ZOnSoGTZsmD1oevbsaZfysMyLhhgapwgEqYwDPdpcJSNoApyzbjkUzWQEQ0ZWPB5aL547TCsxQnDmlMEojma0WFfsSPLg9d+xY0dbYubN9cYbbzR33nmn3WioV69edjROVYFpjtCuelZ4MLXB9xjUUK1gKoHXBUlJKscQKhH0eDDn74YpP/Vjxd/q1avtexqvKeK1k7SSTFBt9qOEJxTggOYS6oEHHgh+/tZbb5l0QqLASCRSsuCsNiGAKqHIPRIyLhzgJGhaDpq6aJIL7z0CAZvVG5G88847WY63t99+2/iFsxlfpN0w/TgyTlZbt261F2INMQcsOvBrQpHwVR6SHaMrXoDOrnXhGH2QcKhh0BseQyUT4jckEryuiRNu1BtU8I6nSaxRQpGEKMEziqBUFo4SrbORip+3cBWRvCEuEB9owAzf5Ir+CaaBVKUQ3055iPv8mzPPSQBwGrBoICTbpdFMRIQkgcY/4gWfU1JnaSgrPTiRGKV25vLZrI3BCJVPbdQm8aCEIgmxyoP17c4WuyQUnPiH6wkE2mhJREBycMYZZ9hkgSZNBhvsdUOVgj1VaHpnCbrTEEj10zm3hEh+U0KRhFgiyzznl19+ab9mXT0jDpZ6UcZkblSb0YikN5IEBhosc120aJFd6QKmOVhVwKZWixcvtokFU6U6a67Em3ookgwjDcqXLC1yKhQEAYIF2wkzwoj1vCYi4l9Mg5IosMrFSSZA9ZL9J2gCZIqDqgWN3komJN6UUCQZ5kEJBOG7qzlYgsTOeDorqUh6Y18NBh0kC+FIIogh2m9CCpISiiRDUxUJRaQzBjorO3J7cjIR8RdiQLSVXnwv9JxIIvGmV1uSoVmKIEAzlRu2jqakqWVfIumNWEE/VaSzVlLB0Pl+pCApoUgyBABOPkOnNstEQ7EMjMZMP55URkRyh+lPqhQ0X4ZXLFnZwQoQZ3dGkYKgVR5JiD34mzdvbpeDgSSCz5kPpSmTFR8ikt6oVHJCO05AxaoweiaYKqWpm62d2atGFQopSEookhBNViz3Cj07HdUKNrvihGHpsIWriOSM5eOs8GA5OZveORtbsUpMJ7uTgqaEIkmRTDhTG5wJU/tOiIib/fv328GGSKKph0JEREQ8U0IhIiIinimhEBEREc+UUIiIiIhnSihERETEM63yEF9izw727yhRooRdMcNyW2edvoiImxNOOMHGDXYZZcdiNhlkczA+Ss6UUIjvsNEPe3cQBFiTzxlcOSU8a/VZguvs7yEiEurss8+2W5nv3LnTnp2VxIL9PdavX282b96c6LuX9JRQiK9wand2CmS30dC9O9g5sGnTpiYjI8MsX748ofdRRJJz59GDBw/a+OAMOtasWWNq1aplateubc+dos3ColMPhfgGuwRWqVLFnuMgfCMwNv9Zt26dnQphGkREJBTblK9cuTJbBZMtzKl2UuGU6JRQiG8wtVGsWLGIu4o613OGRhGRUEyPctqDSLGDkzNKdEooJG2En5FRRCRWOodSztRDkWTIkIsXL25KliwZLM3//vvvwe9zPRdxf+wOHTpkKlas6DrXSaMmNA8qfkSfECsUOG05DYWsatq1a1fwjZAeAC6g6TD0I9I9tlCB4LHjZGtusUNxI2dKKJJImTJl7Dz/xIkTs1w/bdq04Odt27Y17dq1S8C9Sw0///yzqVOnji1fbtu2LXg9p3fmegIojVcifkLjIA3JNBY6K5saN25sE4hly5bZBIMzGH/yySdZfm769OnBz9M9tpBMNWrUyDZlMjBxqprEDZI1GjQlOiUUSYKqRJMmTewLlxc2AQCctpwOYzLnH374QQ2FMSQUPFYsEyXA0mhFcKVvguDqdlZGjdwklVGR47XO0kZe/05FgiSamMIyat4kW7ZsaY+LSNL9NU7/FftQnHvuubYqTAxmkMd1JBMkarm1N81iixKKJFG5cmUbCFih4JTmHYyozzzzTPvGuGnTpoTdx1Tx448/2o2sKP/ymNG1zTJSDmS3edD8GrmxEQ6JCx9ZVaJKiBSEatWq2dd2+D4JJNNr1661CQVJNvz05hUP33zzjU3QypUrZwd5xJFffvklYrNmThbHEFsuvPBCGzfY/4K/4zblkiqUUCQJMmGCwrFjx7J9j0z5t99+s7dRQhEbRhOxjijyY+TGCJHATkXJwXNGcuOUT0XiMaqmqrlhw4aIqxN4bRM7UvmNqqAQf0kguOSHljnElrp165pmzZrZ59FB3CJupOLzpYQiSTBXF21baEbWWqUQH17LjkxJkUywRS+BiIoI+13UrFnTVpa+/fZb7c4pCVmB4Fyv2JF8saVq1aq2P4NeL2IHAw8qFU7cWLJkSZ4rI4miZaNJgqyUMpvbgU8JnTeovMzhSXxRFiWZYP6a8jKjCufcIUuXLrVlTL4vEs/dHdkd1g1xg/ih2JFcihQpYhtp6Xmhr4uNs4gbVKmJG1RKatSoYVKNEookQYZKubxevXpZkgo+p2RGUMivMpzkH+ZbOfh5/tyCPaMPbiMSL7z2eI2FJxUku5TUQxsDJTmUL1/exnS384M48YReOm6TSjTlkSQobZGpkjxwQhrmPkkmeFFRBmNNOfP0dB+Hri2XxGLukxFipOkqKhah86Mi+Y1RrrPk0TnfBM3IVDwpo9OQHE/EKd4gnZ0ktV9DzogJVCQYdLihqZvHlUFmpNskIyUUSYQyOaUvzkdBExUjDJIJkg0SCD5nNQhfswws1ebX/IiATfCmhOnWUEvDXCoFBElNnIOCQQfxgUSCRm6m4Vg15va6zC+8vs844wwbq3gTBKureLNkuaVEjhs8Pjxubk3bp5xyih2kpFrvVVLUU+bPn2+XNjEC79ixY5Z1uqHofCV4T5482fgVByX/T06zTRLBNMfChQttYx9LkLhwPZ3BqVYO8yOSQJ4HtxMH8Vrl1McEdYmvCRMm2BEdU0wE6B49etjEvH79+vZ7IEB3797dTgO0aNHCbiIHfqZ169Ypn6BTuWSgwdJHGvqoXMQzmWD0zBl8edNbtGhRMD7x91l1okQ6MmdFn1ufBIkGr10SxFSrRCf8HYlmoS5duphx48bZJZEkFf369ct2O4JBr169bJNROmCkQYAkQITuZ0DCwXVktpqbTzyCJq9bOrOZrqL0TCLB80enNt8nsEv8kBA899xzwa+ffvppm+ht3LjRvP/+++buu++2Z4ycN2+ePZZonu3du7cZPXq0vX2fPn3Ms88+q03jcolkmTc/4lHoEkcSM54Tlk2LO5IJElqqOUxVUX12BiDEDURaCpzMEj7lMXfuXJORkWFHCOjbt6/9fPz48VluN2TIENOqVauoSyvB6CS0hMTmLqmIPgqyWGfHzFAERXopuI1Gv4nHgc8ojWSYgABGFjx/vHm5PYeSP5yqA0nEpZdeaq+bOnWqGTlypB1Bsyyvffv2ZtasWTbOEMh5bjiG2EmSbe65zXnnnZfj3/JLbMkvxB+SBrdKBI8zFRN6K5gOlOyc6ShWezRv3jx4PY8pO3Om4v41CU8oyNJYx++gBETVgpE483NO0vHee++Zjz/+2AaHaEg8Bg8ebFIdZfRob0R8L3QTJUksZw8KKhQ8d4zYVPKNv0cffdSO8ELjgltM4fm56667zIwZM+ztSS6efPJJc8cdd5iPPvoopr/ll9iSX3idR3vTI9lLtZJ9Qfv111/thbjh7JSZiomEo2gyvChDM1inL8D5SC/Bvffeaw/6WLrlBwwYYO67774so4hU3AeAbu1I0zs8NjRtqjqRXAie6T5qLUivvfaanbOfPXt2jjGF6UM+jhkzJnh9p06dzPDhw20146uvvrKNcHxOU6OfY0t+xigqEDy2bomDs5205Mwvy3oT3kNBMxtznQ4+pzfAmc8cMWKEfbAvuOACO6qg4ef+++83jz32mOvvo7eAUmboJRUx2uUxcGvaoURLdUL7Ukg6+/vf/25Lw5xVk9iA888/3zWm0OMSikZNfoapKs7GOXPmTHu+FuJNJH6JLfmF+MMgj5J9OAY8DIi0Q2d6SXiFokOHDrYpiq5kOq9HjRplunXrlmUUEorEgubMG264wfgZox8ayThYQ/elINniRD+sBNHJpySdhZ9OmuPjs88+M88//7yNIyQXHEMLFiwINmCC6Y+xY8fa1WUffPBBsBrKNKL6XWLHtB49QqyaIXlwViWwdw5xi4qPpJeEJxRkspMmTTJdu3a1b6Jt2rQxQ4cONcOGDbPzSj179jTpitUDVGcYcVGp4GClGZMNsFRajz+qQDRZ0svDfDBNljz+ktwGDhxoBx28qVFVYJqDpNzBCg+mNvgeAxqqFVT9WKo3ZcqUhN73VENyxt45xCiakp2NrdK9ehOKSjNxxNlzghVIqXjir5RIKMBBzSXUAw884HpbRhvphDcwvYkVPOaGKYkz6iWpY3kcS0FJ5Fgmp5Fs8gmdx2f1RiTvvPNO8HOe17fffjvu9y3dzux77bXXJuz+JJO6devaRJWpNZIIKjkkXkwXhVfY/CApEgqRZMLoio3WKOGyYsDZrY6thVkh0KRJE/Pdd98l+m6KSBKrXr26TSaYFiKBcM4Yzd4TnLOJVWChvT5+kPCmTJFkQ+c+o4lVq1Zl2fqWUi7X0b2ukq6IRFKoUCE7DcSUEBeneubsfsxmd3zfb7sd++t/I5IPmG9npz83zkY+oXPyIiKhGHAwnRZpaT/X06Plt4GJEgoRl9FFtHMg0D/ht5GFiOSfwiErh9w48cVvccRf/xuRfEDXeqQKBB3bLNv1y0Y0IpL/9u/fb6c3IsUR53pijZ8ooRAJw5wnBzwrPUIxmuDslfRVsC+IiIibw4cP22XmbKgWftI5Z8NCYojftufXKg+RMPRPOCs6WLJL3wQ7ArKpGFsJs2xU5ygQkWjWrFljT/rVsmVLu2LMOT8VG3+xKaGWjYqkCVZzkEiw9wSjDOY8GXHQnc0JfEREojly5IjdAZoYwlJRKp7OUlGqoNH6tFKVEgqRHM4EKCKSF8eOHTObN2+2l3SgHgoRERHxTAmFiIiIeKaEQkRERDxTQiEiIiKeKaEQERERz5RQiIiIiGdKKERERMQzJRQiIiLimRIKERER8UwJhYiIiHimhEJEREQ8U0IhIiIinimhEBEREc+UUIiIiIhnSihERETEMyUUIiIi4pkSChEREfFMCYWIiIh4poRCREREPFNCISIiIp4poRARERHPlFCIiIiIZ0ooRERExDMlFCIiIuKZEgoRERHxR0Ixf/5807BhQ1O9enXTsWNHs3Pnzizff/XVV02TJk1MzZo1TevWrc3KlSsTdl9FJLn07dvXNGrUyFStWtVcd911Zt++fSYQCJiHHnrIXlenTh3z9NNPB2//t7/9zdStW9fGnG+++cZed+DAARtbfv311wT+T0RSW8ITij179pguXbqYcePGmU2bNtmkol+/fllu0759e7N8+XKzYcMG06ZNG/P4448n7P6KSHIhcVixYoX56aefzM8//2zefPNN8/rrr5t58+aZ1atXm6+//tr885//NJ988on9mo8//vijef7554OJxoABA8w999xjKlSokOj/jkjKSnhCMXfuXJORkWFHB85oY8aMGVluwyijUKFCdhSxZcsW07Jly4i/79ChQ+aPP/7IchER/6pWrZr9SGWT6kSzZs3M1KlTTa9evczJJ59sypUrZ2644QYbV6hcHD9+3Bw7dswcPHjQlCpVynz66adm27ZttroRjWKLSJInFOvWrTO1a9cOfl2jRg1btdi/f3/wur1795p69eqZU0891Rw+fNgmHZEMGTLElC5dOnhxgo2I+NNHH31k4wZTojfeeKNp1aqVa1xhMMLghYpn06ZNzXPPPWerof379zcvvPBCjn9HsUUkyROKwoULmyJFimT5OvQjSpYsadasWWN2795tD+JoIwlKlyQkzmXz5s1x/h+ISCJddNFFZuPGjXZK9IMPPjDDhw93jSvO14MHD7Z9WB9++KF56aWXzP3332/+/e9/m6uuusp07tzZrF+/3vXvKLaIRFfUJBjTGe+//37wawJDxYoVTYkSJbLd9qSTTjJ33XWXHV1EUrx4cXsRkfRy+umnm27dupnp06fbuEIscfA5FYxQCxYssNMk55xzjunatav9+uOPPzaPPPKI7cMIp9gikuQVig4dOpilS5eaJUuW2K9HjRplg0IoDnIw//nWW2/ZxkwRkR07dtiGbWRmZto+CeIDlYYxY8bYvgeShsmTJ5tbb701+HP0WlBxIN5Q+QR9WkePHrUXEUnBCkWZMmXMpEmT7AiBJieCwdChQ82wYcPsVEfPnj3tQX/LLbfYqkXz5s3N+PHjE323RSQJHDlyxA5Adu3aZasHnTp1Mg888IBNDpjWaNCggf2c5IGlpY4HH3zQXmjY5HLGGWfY5aVly5a1K0REJAUTCqdKwSUUQcFBCVNEJFzlypWD1c1wI0aMsBc3LCMNNXr06LjcP5F0kvApDxEREUl9SihERETEMyUUIiIi4o8einhiZQjitasdu+2lqlTd6U+PeWQ0MtOEKPGn2BKZYkt6xpZCAeeo8Cn29teOdpIu2HCJ7aQl/hRbJJ3siSG2+D6hYN/+X375JSVHbmScBCx25NObRMFI9cc8FV/nqUqxRdLpMS8Zw+vc91MebLnLrnmpjBdfKr4AU5kec8mJYovkRSkfP+ZqyhQRERHPlFCIiIiIZ0ookhhbCQ8aNEgnJCpAeswlHeh1XvCKp8Fj7vumTBEREYk/VShERETEMyUUIiIi4pkSChEREfFMCYWIiIh4poRCREREPFNCkaRYfFOnTh3TsWPHRN+VtFCzZk27LW7t2rVNgwYNzJQpUxJ9l0TiQrGlYNVMo9iihCJJzZs3z5QvX9588skn9iREEn/Tpk0z69evN6+88orp1atXou+OSFwothS8aWkSW5RQJKmxY8ea7t27myuvvNK+CKXgrFq1yrRq1SrRd0MkLhRbEmeVz2OLNrZKQtu3b7clyU2bNpnFixebHj16mA0bNpgiRYok+q75uiyJgwcPmiNHjph//etfpl27dom+WyL5SrGl4NVMo9iiCkUSevXVV0379u1N2bJlzcUXX2xPk/zee+8l+m753uTJk822bdvM7NmzzTXXXGNPMyziJ4otiTE5TWKLEookQ8Ho5ZdfNh9//LGpVKmSqVy5stmzZ48tU0rBoCRZt25d8/333yf6rojkG8WWxGvl89hSNNF3QLI3TGVmZpodO3aYokX/+/SsW7fOZGRk2KyWbmGJrxUrVtjHvGnTpom+KyL5RrEl8Vb4PLaoQpFkxowZY/785z8HD3gw53nJJZeYcePGJfS++V2XLl3sY33dddfZ0nD16tUTfZdE8o1iS+J0SZPYoqZMERER8UwVChEREfFMCYWIiIh4poRCREREPFNCISIiIp4poRARERHPlFCIiIiIZ0ooRERExDMlFCIiIuKZEgoRERHxTAmFiIiIeKaEQkRERIxX/w/G8e0tmOmy5wAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(0.5, 0.1, 10)\n", + "data2 = np.random.normal(0.5, 0.1, 9)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust(wspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"常规显示\",\n", + " title_fontsize=15,\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"显示百分比\",\n", + " title_fontsize=15,\n", + " math_text=False,\n", + " percentage=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "02785ef7", + "metadata": {}, + "source": [ + "### 关于散点" + ] + }, + { + "cell_type": "markdown", + "id": "fcb68bbc", + "metadata": {}, + "source": [ + "`plot_one_group_bar_figure` 允许为每个散点分配颜色，常用于区分不同来源的数据。" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "044e9b90", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "data1 = np.random.normal(0.5, 0.1, 10)\n", + "data2 = np.random.normal(0.5, 0.1, 9)\n", + "dots_color1 = [[\"blue\"]*10, [\"red\"]*9]\n", + "dots_color2 = [[\"green\"]*5+[\"pink\"]*5, [\"orange\"]*4+[\"purple\"]*5]\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(6, 3))\n", + "fig.subplots_adjust(wspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"散点统一颜色\",\n", + " title_fontsize=15,\n", + " dots_color=dots_color1, # 散点颜色\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"散点各自分配颜色\",\n", + " title_fontsize=15,\n", + " dots_color=dots_color2, # 散点颜色\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "cc24cab1", + "metadata": {}, + "source": [ + "## 统计" + ] + }, + { + "cell_type": "markdown", + "id": "666d87c1", + "metadata": {}, + "source": [ + "`plot_one_group_bar_figure` 可快速实现柱间统计比较。当前支持以下统计方法：\n", + "\n", + "1. 独立样本 t 检验（`ttest_ind`）\n", + "2. 配对样本 t 检验（`ttest_rel`）\n", + "3. 单样本t检验（`ttest_1samp`）\n", + "4. Mann-Whitney U 检验（`mannwhitneyu`）\n", + "5. 外部统计检验 （`external`）\n", + "\n", + "使用时需先通过 `statistic` 选项启用统计功能，并在 `test_method` 中指定方法名。" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "38f7672d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "np.random.seed(42)\n", + "data1 = np.random.normal(3, 1, 30)\n", + "data2 = np.random.normal(4, 1, 31)\n", + "data3 = np.random.normal(5, 1, 31)\n", + "data4 = np.random.normal(2, 1, 9)\n", + "data5 = np.random.normal(4, 1, 10)\n", + "data6 = np.random.normal(0, 1, 20)\n", + "data7 = np.random.normal(1, 1, 20)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(6, 6))\n", + "fig.subplots_adjust(wspace=0.5, hspace=0.5)\n", + "ax1 = plot_one_group_bar_figure(\n", + " [data1, data2],\n", + " ax=axes[0,0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"独立样本t检验\",\n", + " title_fontsize=15,\n", + " statistic=True, \n", + " test_method=[\"ttest_ind\"]\n", + ")\n", + "ax2 = plot_one_group_bar_figure(\n", + " [data2, data3],\n", + " ax=axes[0,1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"配对样本t检验\",\n", + " title_fontsize=15,\n", + " statistic=True, \n", + " test_method=[\"ttest_rel\"]\n", + ")\n", + "ax3 = plot_one_group_bar_figure(\n", + " [data6, data7],\n", + " ax=axes[1,0],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"单样本t检验\",\n", + " title_fontsize=15,\n", + " statistic=True,\n", + " test_method=[\"ttest_1samp\"],\n", + " popmean=0,\n", + ")\n", + "ax4 = plot_one_group_bar_figure(\n", + " [data4, data5],\n", + " ax=axes[1,1],\n", + " labels_name=[\"A\", \"B\"],\n", + " y_label_name=\"y\",\n", + " title_name=\"Mann-Whitney U检验\",\n", + " title_fontsize=15,\n", + " statistic=True, \n", + " test_method=[\"mannwhitneyu\"]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "1689c8af", + "metadata": {}, + "source": [ + "“外部统计检验”（`external`）指用户可使用其他统计软件完成检验，只需将计算好的 p 值传入函数。\n", + "外部统计检验需通过 `p_list` 额外传入对应的 p 值列表。\n", + "\n", + "!!! note\n", + " 当使用“外部统计检验”且有多个柱子需要比较时，传入的 *p* 值应遵循以下顺序：\n", + "\n", + " - 1 → 2、1 → 3、…、1 → n \n", + " - 2 → 3、2 → 4、…、2 → n \n", + " - 依此类推" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "8b1ff94e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "# 设置中文字体\n", + "plt.rcParams['font.family'] = \"Microsoft YaHei\" # 微软雅黑\n", + "plt.rcParams['axes.unicode_minus'] = False # 正确显示负号\n", + "\n", + "np.random.seed(42)\n", + "data1 = np.random.normal(5, 1, 20)\n", + "data2 = np.random.normal(7, 1, 20)\n", + "data3 = np.random.normal(7, 1, 20)\n", + "data4 = np.random.normal(9, 1, 20)\n", + "\n", + "p_list = [0.05, 0.01, 0.001, 1, 0.05, 0.01]\n", + "\n", + "fig, ax = plt.subplots(figsize=(6, 6))\n", + "ax = plot_one_group_bar_figure(\n", + " [data1, data2, data3, data4],\n", + " ax=ax,\n", + " y_label_name=\"y\",\n", + " title_name=\"外部检验\",\n", + " title_fontsize=15,\n", + " statistic=True,\n", + " test_method=[\"external\"],\n", + " p_list=p_list,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "4babd485", + "metadata": {}, + "source": [ + "# 单组小提琴图" + ] + }, + { + "cell_type": "markdown", + "id": "dd6dc0d3", + "metadata": {}, + "source": [ + "小提琴图（violin plot）是一种结合箱线图（box plot）和核密度估计图（density plot）特点的可视化工具，用于展示数据的分布情况。\n", + "它不仅显示数据的中位数、四分位数等统计信息，还通过对称的核密度曲线，直观反映数据在不同取值区间的分布形态。\n", + "相比传统箱线图，小提琴图能更全面揭示数据的多峰性、偏态等特征，适合比较多个组别的分布差异。\n", + "当数据分布不均匀，且采用非参数统计方法时，使用小琴图展示往往更为合适。\n", + "\n", + "在 plotfig 中，绘制小提琴图的函数名为 `plot_one_group_violin_figure`。\n", + "其大部分参数与 `plot_one_group_bar_figure` 相似，以下是部分演示。\n", + "\n", + "完整参数说明请参阅 [`plot_one_group_violin_figure`](../api/index.md/#plotfig.bar.plot_one_group_violin_figure) 的 API 文档。" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "38979775", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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//eX3IUOGYMTIkfj0009FKcddVk7ZQeNIo8iboijeAfuCWb4fGxuL+Pj4/t4cpQ9hGoocdthhzY8dfvj/4f777sXChQulvUPZHpPLsw/DB2GfI/OkrFzlwE9F8Tc++ugjHHHEEbj00kvx8MMP9/fmKH0YUmVB4/jx46X1jl4ib7/+9gemTtkNF1xwAZ544on+3swBSbf9aeYbGV699tprccUVV2DevHniuiuKMvAw2pnefPPN/t4UpQ9hZwGjBieddFKLx1mxOnr0GDke6urq+m37fM44UsKNuUa2cjCe/d133+GMM86QVguVJVKUgYcRIPKDQJHixnPPPScFjccee2yLx00mE06bczpKS0vx/vvv99v2+ZxxvPzyy8VVpwjAn3/+KbfNmzdL6PLf//53z2+loiiK0iX++ecfySkeddRRiI6O3u7vJ59yqgw9fvrpp/tl+3zSOH7//fe44447RB3HICEhQSTb5s+f35PbpyiKonQDCrUQtsC1BguzjjzqaPz000/SfaD0gHFk+S/V3T2hGLhOy1CUgQcnMSj+A8OlrAmZOHFiu4ItZ597ntxTq1rpAePInsPWKpz42KRJk7rzloqi9PLFkmjO0T/gYAg6KobEJ6dy0KnxZPLkKZg4cZIYUuMYUXagz/G///2vqCwwpr3vvvtKaTCnZSxfvrxXBAAURdkxOD1H8Q8cDoeEVBk2PeaYY6S/lYYvLi5OJhq5N/2zMOfscy/ABeedJQb1yiuv7Ndt93rPccqUKVi8eLH0znzxxRf45ptvsPPOO+Pvv/8WiSJFUQYWBQUFcq9l+77P559/jg0bNuD0008XubiSkhLpd+R9a5KfRx59jBhSGtTWvEt/pdvDjilgO3fu3J7dGkVRegVjuG1VVZWIYqgYhu/C9BaNIo2j1WoVj5EeItWRPKU+CScYnTrnDDz0wL1iWA855JB+2W6vVMh55513WvTJUGmhPfbaay8MJFQhR/F3YmJiUFZWJj8zwsOoj+J7sAedwxkOPfRQvPbaa2IkGUalQAuNII0lf29otKOxoQEOpwNmSwA2bMrCpPGjccABB+Czzz5r9b35Hsxdsv2D7+PrdOo/5GDj2bNnywlGZs6cKSuR1uwqH2fMW1GUgQHDaTSMvFDy3OQFVI2jb/LUU0/JPQfDE+MaTYNm5Bpp5EpKipGTnSMOQ3pGBjIHpWP/Aw/GF59/KiHZoUOHtnhfvmbLli1yLNEDZe7S1w1kp3KOv/76a7NhNKSo+EXx3vPGxxVFGTisWrVK7ulNkNWrV/fzFim91a7z0ksviefYXvSO3l9dbS2yc3KQm5crqmYOux1zzjhLjGlrogANDQ1iGBmW5z1/93U6ZRw54sQdFuBQcYFTpN1v/GKplqMoysCBVeTk6KOPlvtly5b18xYpvQF1Umm4/vWvf0kEry3oRQaHhCA9PQ2pKalSjGOxWjFjr5kYMnSYzMqt9eiL5WvoMYaHh8s9f/d1ulWtyi/fqH5zhzvmhBNO6IntUhSlh2DLFWElOcNhxu+K70DH5NFHH0VYWFiH12CGQ2Nj4zBq5CjsNnk3pKalw+6EhF3nnHGOXMdfe+217V7DY4ea2v4QUiWd/g8ZLn355Zdb7AiuINxj0l9//bVoriqKMnDgkHBGenhRGz9hAr74/HNp6aAgteIbLFiwQAqtzjrrrE4VHZrNFlgCguByOGB3uJpzk8edeDIeuOe/ePDBByVv6d4TSYPoD0bRoNP/KbVTOZaKfTJ02T/88MMWZcH8EjMyMvDAAw/01rYqitJFuGhlqmOP6dPlvN11190w/5NP8Ndff2HatGn9vXlKD0DDRq1rFly1paPaWcLDI3DSaf/CM088ItM6KCLgr3TaOFJLdcWKFfKzoYjjWdGkKMrAgvlF5o84To4YOptLlixR4+hDXiPb6xhOZXRgRznz3Avx6kvP4+abb5YB2f7kLe5wznHjxo0YPHhwz2+Noig9yqJFi+R+6tQpzVqa7o8r3hcJoGaqMViekTwOm2cPI+97gvj4BJx+9nlYuXIlnnnmGfgr3VoSZGZmijAAZ4UZjcXuUKNPUZT+h+co2X2rl8iWrJEjR+GXX37p8LX+1vQ90Gmt15BpLEYHLr30UqSnp/fYZ5113sV4/+03cf311+P//u//evS9fdpz5EBjuvCcA0YJOQ46ZjHORx991CxTpShK/0MjuNOwYS1mr07bfXc5Z3Nzczu8EDOVwnvDU1H6D89eQ+pbM/Q5bNgwXHTRRT36WWFh4bjlv/eJuticOXP8UtilW8bx9ddfF6NIcYCkpCQp1GGolROnjUZjRVH6l8LCQqxbtw67794ytzht2u5y/7///a/N1/pj0/dAx73XkJx66qlSZPXII4+0Ol+3K7AtMshqQpDZidAgSs6ZsPc+++PYk+ZIfclNN90Ef6NbxpFl4GPHjpWfhw8fLoobDLtceOGFMs5KUZT+xwidTvcwjrtPn97i763hj03fAx2j15BprYsvvlgckttuu00mIu3we5uBgtxcrFi5EkX5uQgNtMjj1970H0yYOAl33XWX3+Ufu2UcOV3aOLGmTp0qkkVMDH/33Xc68kRRBgg///yz3O8xvclTNBg+fATi4uOb/94a/tj07Q3Qgz/xxBOloIptGz0lukL5OFtxMcorKlBkKwZcTWHU+OgI3Hv/g0hOThGNbaPX3R/olnG89dZbRUeV0Fv8+OOPpaGYuUhj8rSiKP0LjR8LcEaPGtXicYbipk6dJv2P1dXVbb6eBjE0NFQN4wCB4e39999f5DtPOukkXHXVVT323pSPi4+PQ1RkJBLi4wBTk+cIlx1OlwlX33CbVLGeccYZePzxx+EPdOuop6itIWxLF5/Cxj/88IOo40zfGrJRFKX/YG8jlXH2m71PC5UTg913n47PPp0vRR377LNPm++jFasDgzVr1uCwww6Te8p3Xnvtte3qp3YVysclp6YiNTkFdqcDjS7AYjaJkUxMiIfLCbzw8mu45KLzJKTLyS733XefTx8T3fIcPeEwTRbjqGFUlIEBjR5THTN2bxlSNZi29VxtL7SqFasDgw8++EDEG1hcxdaKa665pkcNI6F6HG85eblYumwFivLzpDCnsrYRsfHJGDV6NEbtPBFPzP0AO0+cjIcffli82Pz8fPgqnTL7LLrpys7g6kZRlP6DbVZkxh6tL1gnTpwkqRDjeR1VrBJGhnzZUxiI3j9Dp0888YSExzlKao899ui1z3M67CiylaCsvEJqR2LjE+BwulBSVS/6q3aHE+GR0bjvqdfw+P3/wfx3X8Muu+wiecgDDzwQvkanjvRTTjml97dEUZQeg0aPxm+3XSe2+neGSXebPEUK6+hhuuskuz/HGC6gFat9CwtuTj/9dOkE2HXXXXHnnXciNTW1Vz/TbLEiIT5WtFrj4mK35h23728MCAjERVffhjETdsPjd9+Igw46COeddx7uvfdeREREwFcwuQw5dh+GjaxRUVEy9bozivWK4s3Q2HEKx+RdJ+Hbrz4DzFaYLAG8+jV7AHaHA3f85z+49+7/iopOWzqrmnPsW+ils7GfvYsUEqfROe2002Txwt+ZPzbu3X/mPW+UkaPXZyx2GPFr7XXux4Hxs8PphMUMOBob4YQZVXV21DU4WjzHuDVuvc/NzsKjd16HZX8ulqpmerc0ln6dc2SugpWpdKcNVRyOTKEhUhSl/6A4B/U3996z/RDcjD2biuq+//77Np+jFat9B6v+2T/+0EMPYfTo0XjllVfEMNKodQYuYPLy8kQTlfddzUs6XS7UNThRazeJYWRItSMSk9Nw84Mv4oxLb5IWkIMPPhjHH398u+pLPm0cX331Valw4xdA9QSeiOTJJ5/E1Vdf3dPbqChKF2C/MZm5157tPo9hVXoaPIe7Inat9Cys/GQlKjVMi4uLcfnll0vDfVenHlHija+ng2Kz2WR/GQaS3n9v9aCbzWbsf/gJuPu5DzBp91l4++23MWrUKJkJySiGXxlHqiUwSfzJJ5+0WNWwOfXzzz/vye1TFKWLsA+OcmJTJ+/a7vOYk5wydZpEgerr61t9jlas9h7sMaUsG73F+fPni8NBx+Poo4/utLfoDl8THx8vqSPe09uncWRkb/ny5dKb3psaqXEJybjk5odx8c2PIDA0AldeeSUmTJggI7X8xjhu2rQJu7dSIs5kLPUcFUXpH+jhUTN1xu5TxSvsiD33miVVkW1JyanGas/DMo+33npLvCsOKU5JSZHpGjSUbIvrLtw3rChmSJbvyc/hYoZGkd4pxeYp/dkZzGYTIkKsiA41IzY8CFYmIzvJhCl74ebH3sbBx5+Ddes3YL/99pNWP8rd+bxxHD9+PD788MPm3w3XnSW9vT0AmYLn/Dxf7q9RlB2pUuVFcvY+e3fq+XvNnCX3nKrTGqqx2rP8888/mDlzpsi+cdwfJdmeeuopaYnYUWgMue95Tw+R9wx5shiRkQTuQ4ZWaTCdbPRvqIMJLhEd9yQ00AJbYR5WrVyJEls+okK3r2Zuj8CgYBx8/Nm49qF52HnKLOnVpBQhi42MNNxAp1tZdiaM2QDKUAu/bColUCWH4RlO6OgtaBBZxaUoSut89dVXcj97n5mdev6EXSZKDx1fx3aBtjRW6ZFoxWr3YaU8DQOl12i0WMjIYhsuOFpTMOop6EiwBSQsLEzCrtwOVrLm5efDZuNcyBgkp6Rt/0KXA0VFxSgtq5BCnZjYhG59fmxiKk67/E6sXvorPp77EP7zn//g5blz8egjj0iOtafFDHqSbu0VhlRpGLkiYUyZ1XFpaWnSm3Pcccf1/FayksrplL6fu+++u8PnMn/CpLT7TVH8gS+++ALJSYnYeeyYTj2fF8wZe80SqbmioqJWn6MVq92HhpAOA0Oojz76KHbaaScJoVKTmtfPvoA5SKMVhAUy9BwZIq+srJQCHoe9laIZU5NsXEx0pNyztWNHGDZ2V1xw+4s44MSLUVhUjCOPPFKKkJiiG6iYu7OzaQCZg2A4YMmSJSJg/Oabb2LKlCm9s5WArLroltNj7UzBEA8845aRkdFr26UofUl7laNG4cx++8zs0op81r6z5bz+8ssve3hr/Rvm+g455BApVGTxDUOo9M45nLivMEKr9BxLS0vlGOHxExsTIzUizHFarNuHTGsaHIhLbJKNo3xceU2TAWXuMSU2FJnxIciID0MgZ10xjBpgwU6p0dg5MxojM2IQvHXklae4+bT9jsF5/3kFY6bsi08//VSKkShFNxCHKXfZOPKkY/i0L70x5jJ/++03Cd92huuuu07CB8bNmCCiKN5MR5WjRqX4QfvtI9NrHbCgtsEBRwcV/DP3mS33n332WZufq60cXTNI7FEcN26c7JM999xT2hr23XffXg2htgeNI71GbhvTUyzYGTNmNFLT0uGEqdVhx62REBWM+spiZG9aC2dNKdLjw+Rx3tdV2iS91lhVgiHJbXvF4VGxOPSM63H0xfcgIDRKWleYhx1oBTvd2lMvvPCCDNlkVVxfVK9xgPLatWtllcHwBOEB19bJzCo9hhLcb4ri7XRUOcp2AIbO9ttnbzhhRVZOngyv3ZKdLWombZGUnIxx4ydISNbTAGorR9dgqPLkk0/GnDlzxBByjN8FF1zQ79cghlUTEhKar4fWgEAEBAazHEcEx+kA2gryUVJsQ0NNBeLCA1BaXLhdQU5ooAm5OVlYu249cnKyERnaFGqno5ibX4TC4lLk5BciJKDjyEXmqEk46ZqnsfOeh4vDNWGXXaRHcqDQrSTC4Ycf3iIM49mT09MGk4bR03tlVR6LBBTFX2hP65RhO/aT7TV9KqKjolBnd8iFrqq6SrzI5JQUWFvRTzXY74CD8dB9d8l5NWtWUwUrUfHxrjfzU6Fm0qRJOPPMM/ssr9gRvGYyvUSPUY4bkwVOtwUThx3TmFdWViAnZwvS09IQaDahtqYaRTY0F+RI9Wt0FCJKy+V/M5ua/KsGB5CanCiGNiUpAbWcedUJAoKCsedR5yNj9BR8/+YDoq7DKCFTY93p9exJunWUP//88z2/JUqvUVBQIKFlttkYF1fF+2ivcpRRFPawHX7wAfJ7oNWC2Ph4Xs0QGxuHwID2WzAOOOgQMY7vv/9+C+Oo4uOd4/fff5cKVBa4HHvssSKj1t8Xd09o2Cj8YGireuYDoyIjsHbtapGes1gsGDJkiOQO05ITmgtyquscSE5ORWRUjLxXaXVTLjLbVo3U2DiMiopFTaML63JLu7Rt6SMm4vCLH8Y3r90l6TOGWF9//fV+Pd66bBzpMXKVyhVSfxW6+IFWeo/y2GOPSWiaqkYM8SjeCw1ia54bm8rpHRxxaJPosxl2ZKSmIDkpCYGBHTdxjx4zDoOHDsM777wjBRLGhV1bOTqGmtKzZ89uLrrhFI2B0KLAbeCNoXDPqStNfY71MomDm2p3AEHBwUiIT0B9XR1CQ0IRFRmJsWPGICg0DFm2JvGAwvI6xIQHISDYiloHkGNriig0NDqwLresWaC8sRsFNqGRsdj/zP/gp7cfwrvvvitFOgyz9tcx162CHOqnsvJJ8Q6MmX2UkFJ8D4Y9mW9kSDUtdWuqweWCBQ6EBFpk0kJnzuvDjzhGogyeggDaytE2VARjRSrDzlx49kQzf3c9Qu4fLmAMw8x76l8zX0wJOUNblaHyzZs2yuO5OdkwwyXhUAdMSElJxfjxE5CYmIAtWdkoKS1FgMWCmFCLFOOQvJIabLbVIstWjQZ7z+q1WgICMf3YK5AxboYIB/SnVne3CnJYDUrXl7JTysBHPW3fhpWR7O097YRjduh9jj7uRLl/9tlne2jLfP+8Ouuss5CTkyNFOJRt6w9YgMgKVOY6eW94/WyVYESBBZS8p6oZ9y2N4g8//IAlixdh4S+/YMFXXyDAAjjtDoRHRSE6Jhb19Y3Izc2TqEN2TrYU5pQXFyAuomNJwh3FbLZgyhEXIS5jlAjO9FeLUbeWghxxw5LdpnLgMSJL1JpKh6IovQtDZgybx8XG4JjDD+72+5hNJowcPhT77DsbH330ETZs2NDrUpDeDgugOHyBxTdTp07tk8+k4TMGCtNjNKZtcAoH2+voLSYmJsrf+BjzhoT3jDCwr5E5Rd7biosxZMhgMUYFedkoLLKJYHlKcirq7Q5YAkMQEhqCDRs3o6SsHE64EB0b3yf/p9kSgMlHXIIFz1yBSy+7DMuXLevzHG63jGN6errcFO/ACKf01sgapf+g+AYN2Y1XXoSQkKawV3cIDDAhPzcHBx9yGL79ZoEIYr/44os9uq2+BqUsaYQog9aX/Yo0elQzohFMSkoSg0ijZtzTiNCr/fHHH3HAAQeI8DcfW7p0qfQ68jV8H4ZgCwuLEJ8Qj5zsHBTZbJJvTEhMQnxiCuITEhEaFIjEhCp5v6joWDhcfdenGRqVgMG7HoDVCz+ShQj/lwFvHF966aWe3xKl1zCMIivpFN+BaQ1OcmDrxtnnnQ9nQCjMru71IbrsdthsxcgcMgw7j58godorrrhCGtmV1r975mZHjBjR5xXgzHNS3ITGkL2LjB6wYIrGknlHFrLQaNOTZAUzK9VpDCdOnCj3DL2uW79evEfmKtnGERBgRQgLchLiJYpQVdcoYgBbcnJhtVgwZtQIBAQFobSyEQEWMxo7UpboITLGz8K6hR/JIOi+No7dXgZwBcLZY9dee62cRNQP1AbhgYkxlXsg6xgqXYcizhxDdP65ZyE/Lw9ZeUVwmrtX+m6yWpEQH4eY6Chce/2NsqBi5WVXog3+pKSzZs0aCWlmZmb2+WfTCEZHR4thpBHkPqIR5PduTOUgNJ40gHwujSKLcvh33jjzc9HCRYgID8eff/4lucXBQwYjLTUNdsM7dDmQn1+AqqpqbNy4CX//9Y8IAsRvLczpC8JikhEYEi7TTPoac3ebXZlrPPfccyVZysnjZ5xxBnbbbTdx+ZWBAy9WVDYxTmgtzvENqE51zz33YJfx43DIAfuisrwMJbYiNHr0r3WWhkYXEpJTMXrMGOw1azZOPPUMUS25//77O/V6f1PSMar1Pestehu2izB0yuIfGkdjPiONJAtzGD41hhzzXGe0iFquzDdycWz0Ow/KyBBjKP+HyYSGxkbJPVqDglFb39SGYTZbMXL4EKQmJyE8PAzVtXUoKLTBYuq79Az/j4CQSBnv5RXGkVp4dOP5ZVN0nDeuYKmYQLkkZeDAFZdhEBmKUe/RNyIBFP8PDg7Cc888hcTUQYiIikFsfAICLN3rr+NYopp6B6rqXaisteOSq27EkGHDcf3114uX0RH+NhSZnhhhlXBfwpApJepoJHkzPHvmD90rVg0NV7Zx8Tn0INmOQ+NJg3PAgQfKhJDsnBzZZyNHjUFiShqq65xyLBhUVtJr3Cih18GDBiEpMb5P847E0Vjb/H33JebuVqsyYU/33oCrGOqtst9KGVgeBuHsOEJvQPFeuIKm+goN5B233ASTo1G8l1Fjd0ZGSgLMzp4xSiEhobjvsefl/uijj5ZG9/bwt6HIRhUo8399AY0anQ/qorJa1VPAnEaTUTsugHnP32kE+TvbNuhV0hjyPXjsrFm9uqmf1QXU19XDabKi3u5qYRidTjty8wuRU1iCkvJKxCfEISo2CbbyJm+1L7DX16KusrT5+x7wxpErEU6W9oQrE2+Z8uwvMOzNC9UNN9zQ/LvinTAExqIEGqqbr/s3pk+eiFJbIbZsWAOTsxHmxhrA1XMhL3qO9zz6PGpqaqXisb28j6Gkw3QL731dMIChTV6w+2qSBA0iQ6T0DGn8eK31NJ7cJho/94pVQiNIeTt6lMbcTm43BR9oRGfMmC59jizEaW2mY3RUpFSqVtUDBWW1vVaM01rMoyRntdwzZec1w44pReYJH2PPjzIw4EnAfPDsfffF8OHD5QBjX5aKN3gfzBXttddeMj/16vPn4JpLzkNsQqKEU+PiExHQxoihHWW3aTPw34eeQVlZOfbee2/xQtrC35R0uGDgOdYX3iO9QH4WIwf8PM/aAYaxmepiLpL37oVUrFqlIMDixYulH5MTjU455RTZ/sGDM5GdnYO83BwxkO7U1DsQm5Ai7xkdl4TSqt4JlYcFB2Dv8en4v+lDsc/EQQgP2RZ1KFz3p9xzW73COFKnk9p3LA1mjpESP7zwUgePaurKwIDl+CyMOPnkk+R3Dl3licJ9p3gPv/zyCyZPnoxly5bhjqvOx62XnwtTXQXSE2NlJl96UlyT12gyw2kJRp3LCqcpEA5YOzXPsSP22Hs27nn8JTQ02uUipQo6TXCaPWHNRW9DY8jUFStPmc7y1G6lMWT+k54gz3lP40kt7AceeECu2Qx7s8r28MMOk/f7esECEQRwOloWUTmcLpRVN6C4yo7iyvp2x57tCJOGJyLIWYW1q1chFNWYNjql6X92OpC3ejGGDhuGnXfeGV5hHKdMmSKrkPHjx8sMOCbsufEM93BVovQ/XEk++uijciIdtfUkPvXUU2Vlz8GrWrU68OEFjxc0emyVFeV49cGbcfmZTRJvcNphqilFYH0ZTPWVEk51WoORlVcoobeSikrpUevMPMfOsOvUGXjkhXcQl5AkVeqcV8jCEH+Gw4sZwvz11197/Xzid82iGnpx/MyupK9SU1NxzjnnNAuRGzfCa/i4sWMRHxcnIuSeWMwmxIYHISEiQLRVOxKw7yrciqgQK7bkFCA734bNWfmICQ8QMfSizStQV1WKE084oV+E3Lv9n7I5eO7cubKaZTybwgBsiFUGBtRTZEn9pRdfKMl4whUjtSD/+usvEfVVBnYYlflFRmaGpCfj21cfwVEHzGz3NWzjKCkuEkNaW1cniidVlRUoKSlGQ+OOh8SGDh+Fx+Z+hMnTZ0pUgl4IvVp/hZMuTjjhBMndGe1SXX19Wlqa5Ggpxek5OcMdeoQsrmHkh4ayK/2n+++/f6uPG+0eLPBKSU1DYyuDNCJCAqS30VNbNTTIip0zYzFpWAwm7ZTQIhTaFbikKK+1IzM9CenJ8cjMSEZpVaMIoW9Z+kPzor4/6JZx5JfNFW1rTckc8Kn0L8xL3HLLLUhKSsRFF5zf4m9XXXWVVBQyFG70SCkDB170nnnmGVl8UjJrzhH74cc3HsG4ER1X67GNIzYuARGRUc1qJ+ERkZ2a59hZIqKicdN9z+DMS67HlqwszJgxQ1q7jGHI/oZx4WYuuKtQxo2Gjp4+jR49w97AvaugLUEXwzAGB5oRYnUhPNgqXiNcdtFcpbZqQdG2HsfBSREoyN2MRQt/gS1vC0ZnRHd7+/5YW4g6UziGjxyFGoRh0co82BvrkbdqCXabPBkjR46E1xhHtgcwpOAJh32y4EPpX6655hpJ3t91x23bNSnzhKSqEYUc7rzzzn7bRmV7WA3KtMR5552HiOAAvPPwDXj8posQHrp9ZXhrmO11yEhJlNBbbGQEBqWmYszo0RiUnt4yHOZywmFvgMXkkvBVV2EbwWHHzsH9z3+AnUZPkPmPrFLl1Ad/C9czF8wWCVaBdlW7mIVLrCBlFSq9z94S1m6tgMcdQ7iFBTmFeTlNFbGFeSIfB5NVKlZjo6OQlLCtx5EyhZu2ZGFzVg42btoCq7n7Yfvqukb88E82PvplA779cwuqahuQv/YPNDbU4uSTmuolvMY4Uo+vNZ1OVkGyMVXpPzgRhQUTM/faE6dtLcTx5JJLLhHPhMVTDIkr/Qub5i+++GIJUy5atAjnHrM/Fr15Pw7YY9euvZHLCbOjDsEmO8yuBlhg326eI4fcZmdlYeWKFcjLzYZ1B1JIaZlDcdvDr2DORdfDVlIqBSoHHXSQTOzxFxiaPPbYYyXkSQH4rsDCGYZT6TFy0crQaW9dE4wQqjvG7y/PfUXuWZBTZCtBWXkFiopsIh9XWduI2PhkjBo9GlFxSVKYI881WTFk0CBkZqRhyOBBsDt3PBfpvnXZKxfJPb/b/qJb/xFzITfeeKOEAgxYKUVPZNq0aT25fUoXoLfIQomIiHA8/9RjLZLYPBEZRuXqlrmN5557Tv5+0kkn+W1IrL9hOItFU/Q8Hn/8cew2egi+e+5W3Hv5HESGhfbOZzY0oLikBBWVlbAVl4jyiScMp0WHBSIu3Co5pvaKMMwWC/Y7/ATc9exH2H3WIdJHy+I8LsD8RejemMrB+ouuQG+RkR16+mzu7+r3RQ+eBXasKaDDwt+NYcf0QvmehE3/nCBCeP7TCBte7sOPPIK1a9c2vZ+F+rqx0teYkBAvfY6sWC2pqkdRZSOKyuuaC7s2FVSKMtO03acjPmUQVmb1nLyb0+FAwfo/pQOCOdn+olsNSRx0zFwDNft4z4vtwoUL5SL77bff9vxWKh3CA569SwzTzH3uSQzOHNT8Nx7QzA/RQ4mJiZEDjlVqVDSiPBirD1977bV+qQjzR7hiZwjymmuuxtq165CaEIO7rz8Dx+03HSZr20UZncZsht0cjPoGO4KDzXB/x4DAQMTFxcLlckqBloU9iQ0OaQBnGM1hcSIwMADZWdnILyxCQnw8YmITkVfSvlYq5/ydeeUdmHHQMXjnuQdkxiQHE1B84qKLLpKLty+HVvldMhzZ1cURByXTqNGY8d5T+aY9KMRCA0ujyjYPjhHk+/E85+/si2V/I2H+mo8xOmFAwfGvv16wbXscEAk59s06YUZVXdv7vKbejqWbS2C3O2F3OuW+pyjJXY+G2mqJQvQn3fIceXFl2waLO3ii02ukx7J69eoWX77Sd7AYiuGTM047CScd33IiPCsVecIw+c97npTkwgsvlAPwjTfewFNPPdVPW+5fcBHJBeVRRx2FvOwsXHfqwVjy4s04bvbUthcnlgAgOhX2yDQgIhEwt7KmZY9jQCjqEYRGSyjWrt+IX375H9asXd+iCpHi0unpGSIwnpKaDuqUB1lNCAsAigvzpCqxprICZWWlKC0rR2GhDWZ0/sI3dOTOuPLuF3HqpbfDFBAi14hRo0bh9ddf99l5ojRoM2fOlIrVvhTY4LXXXTKO0SEaSkb0+Lsx49GAhpIzHpcvX44ffvwR87caTsKnMefI0WVmawAPJ4QGQiIIUpjThxRuavLAZ82ahf6k21IWdNlZ8aj0P9SzpRfICQ0P3/2f7f7OSkVj5hw9R3r6PLF44tAo8iC87LLLZGFD9SOl52HoioVQ77//PixmM04/aBquOeVAJMXFAK30l7ljikhCjq0SJbZCxCWlID0hBqhtmgoBswWuoAjUm4JQXVWHvJwtSE7PhM1WiPz8PLnqsVWA3uC2NzTDYg2E3eGSopzcnFyZ55eTnYVGe6P00DG8VtdgF8+RXkRX4HE1acYBGD1pL/z0xdv4/uNXJarB/lpGnfbZZx/4GlzwcN9Slq03G9bpYVJKjjCcSjUcY8gxC3zchx5TnMA4z92VcmjMHU6ntEsYMPecm52LQlsxhg3JlIV0Tj4jB3GijlPYh3qqRVtWyf9CNZ/+xD90nnz8ossLT2xMNN6e+0yrmrfMGfECyROJBx1PGCMZT4UM9qyxPYcC0yzQYZGA0jNwBX/77bfLIoQr+4OnjMJNcw7EiEEpHRpFA7vJiuKifFSVN40XSoqPaw6VugIjkFVgg62kAoFBQQgJDUVtbQ2SklNQV1snXmLw1j7X1mDOkeoozDNxtl9VdTUaGuoxaNBghEfFSaGFUYTRVQICg7DXoSdjlxmH4PuPX8GSb96XKnf21dFIssLVVzAWlSzK2VHjyHOURTpG9SoNlXG+cjoFjynWF7CIh6FULnz5GtYUGEOPuQCml9ganoU5NJ7GcVBeUYHauloU22yoralCWSmQnJwk15DeUsjx3Lbi7DXYZZddttOP7Wv6dvaI0qMwx8sKQZ48rz3zCAYPymjzuTx5jKS9J2PHjpVy/Ly8PKkOM8KuSvfhd8jvdPjwnST/NmFwIubfcTrmXnsihqcndOm9rC474hOTEREdh7jEZAQY8/TMFjSYg2ArLpeBtPQMQkLD5aQekpmJ6dP3wIjhw7bTzGzx3gFWDB2SifCwUAwePFiEPOhVVtXW95hsWGh4JPY//gKc959XMHryPvjss88k581cpK8U7TDqwmIYtkjtKIzusFeZVb9MgxiFNe6tGYbGKg0i01pGsZ0x7Jg1CO4Fk+3B5zP3HB8fh6jISIQEhyAhMQFBgRZZWNXV1iAqtAdy4Z2gqiQfddXlA6KwU42jl8ID+uyzz5b8wS03XIt99jtAwmXdhTkwFuawh5V5IqX7cKTbhAnjpTk+3OrC0xcdis/uOA1TR7W9eGkPV2UBUuMiMGb0KKTFRwI1TSFVV3AkqmtrxGOkl5GeMQiJ8QlIS4pHgKsO4YHYZkjbem8XUFlVhdy8PDFUtbVNFYlOtN9zF2g1SyP4qPRI7JQajaD2LPBWouOTcdiZN+DEqx5D4qCRMqhg+IgR0nrk7flIhjhZmEPPcUf/F+5LGj4aRt575qLpGTLiwwIbPpfRInqK3IbuFtWxniYppakvNigsEolJSRicOQQWaxDWb9rSpbzzjlCwaYXc77HHHuhv1Dh6KbywzJs3D7P3nYUDZs9CVl4RnOZACbs5TQFgoZnD1bUThe05jPOz7Jsi8gYMBzIP5evT3XtipNQZZ5whOdyN69fh30dMwc/3zsGR00fvWCWwoxEoy4W1IgeoLBRdVdLoNCF380aEBFoxZEgmUpMSEOishtlR32T1OvPWdjuKiopRUlYpKigM0dE7ZX9beyTHhqK23IZVq1airrIYgxKb8mCdIWXwKBxz2YOYfcrVaLBDFmUUP/D2/kgW5bAgZ0cHitProwHkvuC9exiUfeTMJ7L9g8aRsGLVGHLclgRdW8ef8Tg/gvMc651mVNfZ0WA3ITgkBBERoRg2eJBEKfqC/PVNY9GoJ9zfdDvnyAOZg3MZ+/aMYbM9QOk9fvvtN1xxxRUYMjgT115xCaoqymEyWZCclAhTQCCycvNQUlwik+EHZWTA2snjmmGhF198UU5yarAyVMSZdazC4yqWJ6s/zOrrDmxhOu20U5GTk4u9xqTh3jl7Y3ByHEydzCt2hwCzC1HRMSguLkJgUCCsrsameY6djCDwuhgY0NTbxpfExMSi0WURw8j+tvY/G8grKEJRcRmcThdGjmwq+OosvCiP2HUW0kdNxpLP5mLhwk8lz8RcJMOt3thWRIUwTiyidjFHxLV1jrHan/dcbBqDiT0XWcw5GnJy7uFRPpdpFKPtw8hB8jn8zjyl4hiSZUsHDSojA7xm8/V8fMaMPZGSkixhXAscMFtNqNvqILpMLknb8PrO14ZHN+X/mHukALnJ5WAHEHJs1bA39IxXSRGCnDW/y3EwEOoeunXmMofCkBFdeu4M94sld5Aax96DZdvHHXcczGYT3njhKcQnp6Kk2Ib4pGRYAwJRa3eguLgUVZyYYDY3FeFsXU3yxGJOoi2ZKmPVed111+HKK6+U/CMv+jSMhlCAUdSjNMGFIZWG6HVTjPn+0/bASXuOgtnaM1qm7dE0torqKomwBgSj0dGIAEuw6F8+98pbiNt6Qfzpp59QWVnVFFWQYqym4bnnnXcuYmNixQOJioxCeEQEauoaEBFiRXl1I+ztCLY0OoGUpAR5v+TEBIlUdIfA4FBMO/xcDNp5Bv73zsMiHsBCEg4y8JQ+9IaiHF7UqbPK4rbW8vv8O70/hl+N4hnm+t0xjKZhAI0eyNbg4+4Vqnyuu7GlYeQAZBbucaFLD505X95HRkSisqIScbGxKCri4GMnEpJTxZt3ORzIzS9CSWk56hqdGBnZZKgpClFWnI/cAhuSEuKQHBuPDfmdy212RPaaP1BfUynf3UCgW2HVe+65RzwLJoU5PYDly8atqxJKStfzjPye77nhCkwcmSmz/BhiSU1JRnZujlSZhYSFITwiaqvgdEDzCcd9tWLFCmRnZ7f6/jypeFJS3OG0006TXtabbrpJPEZeqHjPFa+y7fvi/mCj+6jUKHx53UE4acaIvvN6nA6Y6sokr5iTk40Vy1fIyCoKAERGRWHNmrVyb4yRc98uXjTZUvLrr0uwactmVFdXoaKiXI6P4sJ8mcbg7imkxgQhJTYUAVv15vJLahASFY9Ro0YjOCIOWwp3bHxVYuZoHHjeA0gfs7vMG2Vomosyb4KG6fTTTxdvizq5bS1AGf7kecZw6I4uNFmIw6pVY8ixezEd9ze9T4Z5Gf3hdYO/06Aaj1dWVmD16jWi3cbjweRoFDEIs7lJUzUmOlLujXYeLrwKCm2oqq5BUGAA4iMCJPcc2Imcc0esXNjUZsJrz0CgW3uG+SeKI7fWNqD0HixceOedd/B/B8zCOacc23RxrK9EkNmKBpMZJbYi1NfVIy1zMAZlDEJocIDoarLAoqa2VrwIoyycJ5TnRZwnN1ef/DsjA1xtPvnkk3KhYvk9DaN6jdu49NJLZTTYzNFJePasGZ0WCO9p6MU1jaqqAMwmJCQlY9NGXhA3y8C8cWPH4ZBDDkFsXJyU6//008+ikrNx4ya5GBXmFyA9NQ3lZWWorqqUkGpMXLy8N6sUObIov6BILpKJ0QnYXFiJBrtTJMREIYUDdqkmsIME0Is85kos/eYN/Pa/93HAAQfihx++7/eS/q5AYQ1OLProo48kPOjp8dF4Gb2JPAd3NI9vDDnmtZiLNRpfoyCI0QF+Fuc50hAamtj8O++HDBkMu92BwYMzERERhsLCIqxcXYSY6FjEJSVL7pnHgdNlRklV08gzCo8nJSYgPc0CR0Mdlq9YKQvx9Pg4rMnu/li0gk0rkbPmDxkBxtSN13qOHEv1+eef9/zWKG3ClSgvxoPSkvHkXTdsZ9iMcUVMoruczibBaZNLpsBTOo4nA08gwwNszcgZJ654oqmpeOihhyQfQe+IVXNqGLfBYigWRe0xPB4vnDUdYUF9U+reVv6P+eWIyGg5BoICrBg8ZAgGDcqUUFpMbAwiIiNlscNS/T33nIFiW7FcLBnmGzp0KIJDglFX34CoyAgxgpzGQFilKCOLSstRUFgEayvVr6xUHT0oFnvvnIL9JmVgl6EJCA7s3rHC43rsrBOx0/Qj8dtvv0p435tgPvGCCy4QL435PU8YQmWekKpBPBd5XnVHBIDvwRuNL6tU6Y0aRTlG2oTRAXqxXBCz95IhXIbYmW/kvh8xYiTGjh0Di4VtXiHS41paWoEiW7GEVStr7SircYq2qtHOw9aeyNhEmdBRWl6JrDwbikvLkBgVjDGDojE8rXOVy+5QDP+Xj56V7eaovYFCt45g7hxeGDhBYNKkSdtVSGnOsWdhsv2YY46Rg+iVh/+DmKiWfU/u44pYlMNQqkVKry1oaGyU8BRXlzR4TWopga2OsDGkAA1xYp5M999/vyyGmH/kyW4MTvZnuIi46t//RkxYEJ48bXKXLwY9jcleh7TUdCQkpUqoiyvekSNGYPz4nREXnyCLmsZGO9asWSP7dY/p0/Hbb79LHjkzc5B4lBs3ZSM1JUkWV/UOk+QcCcNpvBCy6IZG0751ZJE7GQkRMNWXYcXGbMlvJSQmY3hqFP5cV9Tt/2nUXsehJGu1zLbkopDGxFvgBf7NN9+Um2GUDJjzZ4izM/nE1nAXAeD70vvk+crHaAT5fnyM+5znO1u9+HmZmZlSJMTnGFGgL778AqNGjhKRcRrI+Lg4MF3JqAJMPKa3XwjRSOaV1MARHYLwyGjE1DRi9E6DYSsswJpNOUhJTsTg5Bgs22STBdKopAgEB5hQWefA8k3FqKzZ3rv869v3UJS1RgZ7D6T9bHJ1YwAbV6NtvqHJNODyjjQuPGlZzOLZUDvQ4YHPHkSGae69/mJcdPqJoqxiMlubKiFb+dn9MQes2JKT21xtSkUN7nJ3dX7jZ8/fjXsayKefflo8SIZ2/Z3vvvtOJNCu2H8ErjhojMc+oC6lBSbqoRqPbb1v8bPbfpL7Vh9req+m92x7H7tCY5BdUIKS4mLEJiZLYc3zL7wkdQHZOTkSuuMCloUgocxHh4WhrKwcy5YvF+HpJ595Fo5GO1zmpkrVRrtTbgyXBlotSI0NkfmPJmsg1uaUo6SyTsKpLApLjglBYmQgNqxbjRWr10l0YpcJE1CHYPyyoqBZlJoXVd4at963uLmJV/PvLAzhfcHGZVgy7z9ibG699VZ4E5xre/jhh4tBuvnmm8UYGYbQXWS8rcfaeg77G9kpwGsZozpUGTL6IlkDQm+U+4DnOL1YTuTguc8co1Fpzjzl8hUrUF5eKRXvDocd5RWVYkxDQsNkAVTpcRwwbO6+zxiuj48IghkuhIdY8esf/yCvsBjxsTEYMXIkfltnw6j0WDRUFyM7txCpKYlwBkRiyar8FsfB5jV/44PHrxHxiT9+/31Apeq65TkyZKD0Dbwo0DAee/A+uODUloLinYE5R7ZzMFzKC6RIRXVxbhxX7kuXLpUxVxMmTJC8ij9DgX0yKTMGAwHmHCvKyxAeFbVVNNqCurpamMxmOVeZb9pvv/2kSZ2RAS5eGxsbMHPvvcUTkfdwWdBQzwVRy7VyfGQQNm5cj02bsjA4MwPpaZliHElqXCiqy4pQUBeAyMgIjBg2GIFBwRKyK63Y8fL+6NSmdgh6vN7GYYcdJp4QF5Y8bxhq7SnoMfI8ZpUxjSb3Kc9v3uhBbt68WfK09CBp8IxzXzRVt577sTExsq+pubt23WaUlJRKlGnEiNGoadz+OPCERjOLbRx2J9ITwiQPSWNHz9GoXKbHuDG/CPlFJVLVPHxENG1qM2VFufjshf/I8fLuO+8MKMNINIk0gOHIH07bmDhmOJ68/d/droJkxaE1ILTZK+wqXJmyyIAtJDSUzFH19ziZ/sRoMShrJUTUp1B0PDgaLksgBg8fjS1ZW5C/cSNSUlNxyCGHipfAfcWQGhc1hGFxForwWGJobt3aNZiwy8TmEv7tcNqxeXMWsnJyZBxtcuq2+XqBFmBdQRHKK6owcewIjBu3M2oancgvrsXa3K3C6DtAY11T+5C3tXQYsMWHeUCKfTNy1RNVmIYIAG80dvQCCe9pXHh+895o66AHyeOA+5t/Y6U6I2nJKSliXGtqahEeFo6a2jpp6TCxrqCxa0VCucU1SI6Jw6joWNQ2uLAhr7xpmxpdSE9OhMvpEs+xut7ZPNC4ssyG9x+/Vlo3PvjgA5GwHGh0qyCHK0+pfuM8uK0hAPebsuNwaCzVVtKTE/D2o7cjNKR/5+ExnEPxbF6omH9kL5e/YrRGfPJ3br9uB+XjsgptWLl8KYpsNrnIsZG6orwCQ4cNk3AaRaPpMfLiyJv7zEBeHKnoYmMBRltVk2YrMjMzkJGWJjNCOQHegE3gKUmJiAgPQ3V9I9YXVOPrP7Lw14Yimeixo+StXNhcWOKN0Ci99dZbmD59uoRZmYPsRharBYYIAI0kb+6LXeYzjYI6Flp5fhZz5TwmjBY8k8mM6poaxMTFYeIuuyA1LR0NjV3fvga7AxvyKrBiSxnW5pShfuuMtPV55TCHRGMk84hBUVi5pak1p7KsGG89/G+U2fIkp8zw80CkW8aRuScmeenV8AB4/vnnRY+T+SxONu9puJMZXqRYMVfBRxxxhM8IFrcG9U2ZZ4wIDcYHT/wHKYlNDbjNmJvyTA1B0TKuaEc0VY2p4bw3poi3BYWpObGeJyg9R4Za/REeg5z+/uWyAvy0umvVht2GOczIZNjDU4DwBDkGKB9XwmrEshKUFRchLDQUERHhCA0LxYb16yXfRI+itQuysZ9PPPFEGUskHoP7x5lNiA0PklDbkCHDsMce05GUPljaN9w9hpDIOIwaPRqBYbHY1EPN4KSuqhQbFn2AlJTUAdMU3h0YtmbT/ZQpU2Sk1csvv7xd9IYhTxoz5giNYpruwP3sLjzuud/5Oe49y5yakpySioT4BCmuqW10SfizIwIsZqTFhWFIYhgGJYZLXro1uEBauqkYC1cW4q/1Raitt4tBfO2+S1GSnyW2gnnxgUq3rqr0GigzxtwTL5jUwbv77rtlNA8nTvc0XPHQc+F8MnqtDBt4W4K+K8NwaXiY6H7v0ZsxalgrPT8hUVKAsWLFSmQXFMuQ245gUYah3O95kWR5uVEG3lGTP0NyDLEyNMPxQ6yG80c4mzA8PAwXv/4Hsoqre/8DIxKQbavAipUrkV1UJscA5ePiEhIRERWNuNgYxESFS1N+WEgwPvroQ2zetEmEINqCF08uaFPT0rbzGNjfWFlWiPVrVkpRT2W9C2uyy2QCfEcew47C4p/fP3gYDbVVeOyxRwdcLqqrMKT69ddfy8xHepDULnbvb6QHz/PJvdCmN2DEICMjQ4p4MjIGyaLaxSygJVAGYhuG0WwyITzYiohgU6vDjuOjglFZWii6ujXlNsk9d4b8rPV46a6LUFqUKwV+F198MQYy3TKO3HkUAiAsvTXUIHjh5DT6noYXbA7jNcK2lGmiukRbMEHNg8395g1QNotzFZ32Rrz78A2YvPPIVp9Hj6GivBQRUTEwBwbDLoLjbe9KJsrp6VP9hOEU9xWlIVVlTA/vTLEOFfOpgUkNSAoEUOvV34TJmct75ZVXUVxVjxOf/Am5pU3nQ29hhxUlRQXiJRYXFcgxYMjHcZJCelI8LPUVCLa44HI6EB4eIecKC3LaCuXxcR4T9A49PYYAi0uGH69fvwH5udmIDrW0UMjpCJbxTxgajz3GJGHS8ESR1usMDnsjFr/3IEqyV4l+sDd7je6wSp6pkkMPPVSmtnA4uXENpafI6xmjYbzvzdQU35vX08aGBtHhbS1OFBxohq0wFytXrERJUR6iQlsumKmSk1/IGaJloq/L3HNHrFv2G17474Woq66Q8DLF5gc63TKO9Gz4D5IDDjhA+hpZkcXQKj3J3oRFBFRtOfnkk9tNhHO1Zty4WhroMPTC75KCvu89dB2mT2x7ECw9htTMYahpcIgSSl5+AZzW4HYXCyz1pgFkzsFdYsqYHs6T10jiGxjCxryxt9X9b4wW3HvvvbLSpQfJ44EG2J8MJGdpcgW8qagKRz/yLTZ2Q0LNFBAMS+oYuNImwpw0EiZr632kVtgRl5iEiOhYJCSniZpMQ2CU/C3QUQNzQ5Vc7MzOBmSkJktzd1p6GoptRRId8DSQxoR4nk/mVsTR2aYRLedPpIRq6+vqUFFSiMSoznlx7HN01pVh9apVMDWUY0xm2x6sgb2hDv+bdzfy1/6OU089VRZgvgQrSFl8cs4554g4Oa+XPC95zjCcynYL3ne1mrwzGD3MPPdlobySMpJZUmS13XMdTZNaysorRADChJbbQ5WclMR4xMdGi74uc8/t8ev38/HyvVciKNCKL774Ascffzy8gW4ZRxofTp8nXAEwns6yZZaMs2ijN/vL6DVS2ow5n7agcDYv2saN3tJA5pVXXpGkdGhQAD565DrsvksHjbC15RI6a2yog7OxHqVF+WhsQ76LLUlUvjDyiZJrcBNt4EnDfIehzcichQFLrHnxZMiVXqVR9u9emEL5NL6GIfYPP/ywxev9AV7o+B1kl9Tg8Pu/xF+butb4bk7cCXkVdqxctQq5FQ0wxbYhnVVZhLS4SPES2ayfnZ0j+yW7sBgu97A6DaSjHvl5ecjJzsbiJUuwePGi5jyUcePvv/76q7xPa9HQ+kaT5KMmjN8Z8fEJyC0oalMhpzVCAs3IySuUMv7s3AKEB1ta9VIMaqvK8M3LN6Ng/V+Sh6LweFea470FLka5oOI1lNdLVn//8MMPsjhlFI6LeUZkehpWqTJKwPdukpGsQnFxCez27UeTsXc2ISEe0VFNuqouj9metvI6hMckSgg/NCpecs+twRTOJ689gbef+a8s1H755ReJNHkL3cr88gLL+DmhN8EkM2+9CeP0bG1gz19HZb8sV/cGJRdeoO68806Z6JCeGIv3HrgKo4Z2QlfQaUeAsw4JsdEwuxoRGx8v8nEiaLF1nmOj3YVAswkNDrvkFLlqNebDGZ6EUZTBlSv3o5HMb/4Yp1OMI6vb+FwaT568fJyLDl5kuVjhyc5pClwJ83v3tz5IVhXzu2Vxy9EPfImnzp6JA3fdqVOvdVhDYCtYi8qSIgmNJ8aO3n7MsFGMExgOs8UifY3FtkJUlZfKa5IS4+F5tNMLWbN2nbR3fPPNNygtLZMwHvNbBQWF+OLLL5GXl98kMnHi9i0G5TUNCAsKRURwqEyCLy3Lb+pla0UhpzVqG5xIZ+M3m9FTElFV52jFR2mirDALX798OypL8kXEnYV+3jiyqrPwf7v22mtFIIAeMhf7PHdmz57dQgSgp+D5bUzWYXWy5DRNJhlRZrUGbLc4qmtwIj4xRSQJnS4LSqua2kUM2MCfU1zdQsDBEx4zLz14M/5Z8r1cI7hw9hynNdDpdp8jPYk//vhDViGeIZuTTjoJPQk1IRli4UqZ4T1fgIaI4u1cIY8blo537rlMQhRo7cIYlQK7KQBWswuorWg5riiRhtEi8nEcUcWBx+7zHNPTM2RVypPDEA5331+saOS+bC2kwxOVF1M+n4aRJxYbshl+5QnG19FIMgfJSjwaCc7i44qYBVr+1NbDCmrmkg477FCc8eQC/PfkOvxr9i4dvs5ir0V8clrTBIWkVFid9dsZEVNEEnLK65CVvQFR0dEYOnQY4vgaGsGERNFW9Yh8bRWWHiJKJrxnYzhD98bIKtJeWwHFx2kgmW8KCgnB+J3HiNZmdieLj9bmlmNYMsv4Y1BZ68CKjbZWn5e/cQW+fOl22OtrRH2JlfD+AvOpRuUz50DSu/vXv/7VI+9ttO3wfOZ5b4y14o1KOawClgUxF8YmCxxuaxEeI1V1DjkGGu0NHc729KSkKB+P3X4psjauEVvAyAqjUN5Gt4wjPTiGU40GVHf45fe0caQR5sWdw3cN6KF4a6UkjQpPDBbgzJ48Bi/eci4i22h0lgujrRIltkLEJaUgPSEGqC1tHlcUSBkxR5OcGKPkrCDkfEeZ37d1nmNbCjlcUfIiylwkL5Q0hPxe+ThPKOYo+BgNJx9n6wbDMvQ26CkZ78H/hwc/53xy5U9VEBrR1157zWcWM51h6tSpWLhwEQ466EBc9+pPKKqow9XH7NFuONFZuA4pySOQGDMKVmcDXCVbtnuO3WSFragAedlZqKwoEw1M9hcmxUQi0GKGqZFhrZaf8tOPP2DPvfbGiOHDtw65/Z88bgy5pX4m+xt/+OFHqU4MCDTB0ehAkNWKqjo7GGyjYbQV5qOgqEjaPSJiEkUZpTOwjP/vDbYW8nGebFq+GF/NvVNUWj6cP1+GBfsbu+22m1T/M60yd+5cSQHxHOrKJBIaQZ5/PC+5+OU9DR8jRjw3eQ6zKpmLX57XklYxmbFl8xbYim1yLielpKEnEiIbVi/DI7dfivISm3QvMCrmrVGAbhlH/sNUS7njjjtEnqi3cwNM4HpLErcjli1bhsMPP0zGBZ3zf3vhjvOPkX6jtuCFsbgof2sIzYSk+Di0N/+BPUexMm7I3DzPsS2FHJ5INHw0jLznScPVK0Op/J1hEDYcG6+ht8iEvjHWyhO227DNg4U6H3/8sXiUDIO3p8Xra3AW5v/+94uIOz/40a9ocLhw44kz2zSQrsY6OHJXNGmkBobBlDAUDkuIFOCgskAWQVaXXXJAtZyaER2NIOp0NlbDWlferLfKvkd3uOD59NP5IiHHXcWGbx4/xpDbtWuaht/uvdeeoG56fm4OCouKxWjGJiSjrsEhhRhFWydyUE4sOrZpjFVPsP6fX/DFS3fIMfXF55+LkfBX2N/IhTIVdBiBYcUqzyGeZ53BmMrBRRANIWsIuABm4Q0NJCM+NIxsiTGu1axWLS4pQQXPbxcQn5C03QKrqyz58Ss8fe8NUsz19ttvi1iIN9Mtq8YcFFsruBrxxaR5b8G4O+PvWVuy8ODFx+Du84+GtYPQIy+M8YnJiIiOk/lqHGzbHk3ViinSyzQoPVW0VduDixs+1yjGMUKlvHc3pMxX0WCyaMCQruI9H3NvWubKlAVRDLFyIUB1FhZS+RO8QDHPR2WUx+f/hkc/Xtyp15niBiO3vF6Kc3LKaiWcTlyVBUiNCsbkieMxaqchiA5keL1Joqsj3BcxxvDbjZs2bht+Gx8vqjpFthKpTqQxhKspssBCjMTEeMTGREn4nlWKbOXIiA/DsOTwbg+53bLmL3zx0n8RHxePH3/4wa8NowGL3TirlblIRsRYlNTZAQ7GVA7389YQKWfkhnUCntfpgMBAWQhFRkQgPi4Wlh0YR+dyufDxvBfw6B3/RmxsjBh6bzeMpFuWjV4c59kpnYMHK/uaWPofbAE+uOMszDlo9069Vi6McREYM3oU0uIjgZoOKtlcLinSCaZDYWo/V2C0XfCiaRTl0ODxZDIMoAFXovRGeAIaJyNzwFwo8SR0h+/HoaWcpsBVK0WvGXLdUeksb4LhS+b4JkwYjzvf+gmf/9qxeLbdEoTigjxUlBShpCBP8syCoxEozYK1dBPM9RVSkEMRAGqrdgV+/0Yuknkn3hfbbNLKkRAfK9WJ9FCbxhU1FeVExyVJVWJUbJJUKbKVo6qsSBrAa8ttSI9vWcHcEVRImf/87aLis2DB17IwU5rg+cYqVuboGL1hJfTvv//eqde5n7fGBBYuhFiFTs/UM/9vNlukHmH0mDFISU1HJ6Pl28HrwvMP3Y43nntQCiUXL14sC2JfoFsjq5hrZHiGnkZr8xwH2lij/hxZxbAkwyX0GncemoJXrjsZg5ITemxcUasjq6wBcJqoeuFEYGAQrNw/ZktzWJWGkLkNXiiZb2AYhvvSyFnw7zRwNGwMo3qOseJ3yLJw5oEZFhs5cqSEb1obeUXvhNWHLPyhN8keVW+oJO4p+D1PnLgLnA21+N/D5yMhJqrNkVWWlLHIrbSjpDAPsclpSIsNA0qztx0DMenILqlCSVGhRBHSk+Jgrq9s9Rg44sTTJYwqN5iaw6ocZ+WZc3zs6eclwuDgvoZZco4Mq7Y2qigjLlgEKBx2u1xgg8Oj8ffG4ubnNUqriKtpJJHbKCr5W6Mdr9x3GbLXLZWFgz+L13cEFXVYl8BrLYt1KA7S1ngrnrOG6LhRcMciRuYt6ZEyPWKIjxv1BFwANe1Tx3b7Tn62GwU5rY+s4v6trq7BvTdfjsU/LZBe5/fee0+us/wMXk+MAkC/8hw5n4wrGpYG0/XnjjBu69at6/mt9FL43RhlzEfNGIv5/z0DGYm9P+bICSuycvJEamxLdvZ2xRCGADEXDTSQRoGOoc3IE44nGpP8rYXN+TyecFyZMrTOE5ChxNZOBHoozEPuuuuuIjk4c+ZMyY/4CxSgePLJp1BaWYt75n3f7nNdxZuQGhWI0aNGIS06BCjPE2kvU3Q67NGD4AyOQkVpSZNKjq1QVHK6SlMu8lNR95k//1P5ndWJLN+vtZvEMLZXnRgcHARnYx02b9oAl6MeocHtyw26s/zXb8UwstVHDWP7MNrC8CTPsWuuuUZyeG3Bc5VG1DBKPGcZzeHCnI/xd56zXKhxUcuQOgen7whVlRW46bJ/iWGkIAsXO4ZhNNS4vF0UpFtm3Whi5U5TWoeNvUcffZTMSbvxpJm45MgZTQNw+wCjYrWqukq8BY6nEe9xK/T0jUIcY7KKYSC52qMXyLCOMRqHJ5k7/J2vY76S3iXlA+lB8j35Wk8odMwKPIodcKHAsAsLdtyrj30Z5l8efvhhvPHdElxz4r5IjGsZhjZw2evhKlwLs9kK59bogTl+CHJKqkQyLj5tCNKGDJcLTlw8Wzi6H6buboi7tq4epeWVcMEMW2kFgqPqO/15i76cJ8cCqxiVjqEcJxvn6TWyH5rOSGdk12gsGUrlAtbQSjYWxHwPkpSUDEtA9yI4pSU2XH3BadiwdqVI/LHNzlhE0zi7fw5rGbzVe+yW50gvgTtMaR0aAa786muq8cqVR+KS/9u9T8uZpWI1Ph7hEZFbK1Zbru65LTx5mI+ggXMvvKGRNJL7NJCtXUT5HLZ0cLVKsWRW19EbbK+vkX9jeJliAXyuIcLsD/D7Zv8nQ1WfLl7Zpdcy71hcmI/K0mIU52UhLCSoSUs1MQamhmqZ59gQEAFnYPgOTWfpLA0Ok0xwMAeGIiIyWmb2dQZb3mYUZK0XL8NoA1I6hnnhn3/+WeZxcooFxVA6WtjQUOXkNCko8d59IgcLdJomcnTe43enqCAfl599vBhGdiuwbcs9ukRj7D75o6NBBgOZbp1NXCkYuprKNnjQ8oCZM2cOkiKD8cnNx2H/SZ1TSulJzLA3VayOHo1B6enSykFvgxWn7io4xjBUQ5HDUBbi4ochEt63Z9SN8CpPAq4QO6MJydl8DMtzNcnGeUYh/AG2dvC7/N+yTV16ndXVKPnFiJg4xDF03ViFgOoCoLpYWj84z1EmdRQUtauv21MUltciPDpBinRCouKRbeucKMCm1X/JPefAKl2DbRis+KZMJ+s5aCDbOy+NBa6RNjFqCIyJHEx1MF/cVQrz83DZ2ccja9MG2QZGgzy3g+c139/4HG/1Gkm3tpzhVArm8sJID8TzC2ADuL9BQ0EZKB404wbF443rTkDGxL1hD4qC1V4DR95KuOzdaLNtQyGnPY449mTpb2NIlXbwkEMPw4gRI2SfMRdBY8ZJGsxpsDKOq0t6iTSI3J88qI0kfnsLIP6N78eQqiEG0BlYwMPQGlV0zj//fAnDULzel+H3RFH+Ndld0151lecjLTYNSfGxTW08NU0DY0nzPMfKcim4SU5MRNAOBijYoxYaZJH2DqfLipKqhhY5axZoZNmqWxTbdIai3E3NoUKl69Djo2Fk9IULSi5m2U7XGkbVudG6Y1yfDbEA3rPApisUFebj4jOPQ/aWJv1sqnu1BT/Pm42iQbf+A0N0XNlmGFlkwINm9xHJeOWyQxA3YU/k1Vlh27gG8WmZSEkdC/uWP7v83u4KOQmpGUhNSUdjfZ1oqTYpo3i+wCTGkP1rTcooP8sJwp9ZMMWTjBXGPHnoxdHAsYjKmCNn9ETxMSPn2JaYuKGwY1SndmWaAFfDN910k0QguALlZ/jqjE4DrtyX/fVb117kaICrLBvWrVWt7g3/xjxHcDBxfMI2fd1uQJUcGkWzy4Wamips2JTVNNUmNknUbnaUqrJiOa4Yxle6Ds8P5g1Z68FeyCeeeEKMIBfknvA8ZAU6F7ienQTdobSkGBefeUKnDKMv0S3jyIIKNu56m5Bsb0HRYB40M0alYO7FB0heyBEUCdumtaiw5YuMW+LoDiZtdEIhJz5tELbk21BakI24hCRkJCXA1NiU+DagtmpkVBTWUAFl6BDJ7dGA0XOk0DE9GK4e+RiNptHcb6ho8HfDYzSUc9qDz2Vrh1EmTu+RsnOdgRdfnug0kOwDZen51VdfDV+Fi4+Kmnpg6B6wOOrgLFrPAYade7GIjydJBEG0VOsr29TX9aQz+e7AAJOo5JQW2yRPFB4aJuOKYmJb0fvtBnU1VYiIjPQrvd2exMjlGfKdbItiDpLn85lnntniucYEFqNKdUeoqqzERWedhI3r1+Khhx7yG8PYbeN4zDHHiB6gGkfIAcpWhcnDEvDyhbO3DnV1yeDZ+NSmadvxKRmwNFRREKzLGAo5DJuFhkdhy6aNUspvggnJiQkIbKVSldJ0W7ZsFjWoEcNHSGUoDeLOO+/cdIGuqJDcIhuFeeGkd8gVPQ0djSOfyxORz/W8sPLiZuilGoU8NLQssjHaO9jT2FnYBnLllVc2Vz8zpEsBAV+Ext9ud+Cvf5YhbfBOSEkaAWfuis69OCIB2baKJo3dxBSkJ3OUEGB3cTAxYGYUQQzjNuPIRQv1VePi4kUqjFGEMrcwOf++154zEGByIAAWlJeVo7yiEoGBVmRmDoYlwCp9jz1BfV2NX+ns9jRGLo+5fRpKzkVkrznTEzzvmL/vDW/1igv/hVXLl4qgR1thXF+lW0c+C056e0SVt7RrMKwxNDESL58/s8W088YtfyIluBGjR41ASogDjtzuiaS7K+REhwUhLiZKBt7GchqDqfVK1aFDqYCS2aSAUtxUeUrNRs7vW7hwofS5GY34xpBVGkJevHmjF8n8GHsY+bM7rEJjjpCVcLzn85nL5M/dnWLO9+T3yFUwpxKwNcQXMZSEcrZsQnF+NhzWbeLSpoAgGXbsTB4Hc8IwmKwtlz0OcxDMAUGISUyTvzkCQpFdUIIVK1iMUwyn+0zHrey5516IjIzCmrVrtgqON42ZM9hrrz3Fe+fE97yCPGQOSkdYeIQopzAsHxufjPKa7ef9dYe66krEclSSskMGkucb71ks9+WXX8qilu0UdFa6Ay8hVNIyu+wIspokvE5cLhduve4KLP7lJ/EWaRz9jW55jox9UweQotIMsfLiNpAVcnoDtjKcfNJJCA4w46VzZiAmrGXPkKu+Gg3rfgHMAWi0WJrUSzzEoduDF0BTdBrs5iBw/W6tLgTqipEen9BUnMGco70GrqAINLjMYhTNJhecJiv2mLEnJk+Zgl+XLMFPP/3U9H5bk/MslmJzLg9+hlkN788IhTLXSEk4Y/iqe5uHAY0h/3++B09Orlz5PN53d4o5jTNPQlZC03PkJBZvHHPTUc6RVDssiEtOh8Ve05wiNMcNEV3V4qItMo4qLS5TIhCOrfvfEhSCmoYyZG/ZjPTMwTxAxIusrCiXnCNnLTYvS0wmvP/OW6htdKG0rBSTJ+8m4vbcP2edfe42ZZSGeixbsQJlZQyhAwljEzFq9GjxFgvLG1HfaO904UZQgAXDUqMQaHGhpt6FVdmlqNpagMaG84rSIqTvNqE3vla/heOuuNClB8nQ6ueffy6L2q7hQl5uNgptxYiLjUVCciqYYn7uyUfx4XtvSXUxpR+9dbJGn3uO69evx9ChQ8WzYNO3u0IOb/4AxbVzcnNx21ETsFNye5J03Yv5m2IykFPpwvIN2citaAQiEpvyU1VFCKi1wVRTCpc1FFkFTRqnWXlFsFvCsHbDBnz15ZfIzc1Dalq6hFDb1NUsLm7xme1pq7rDiyyNGe9pVOkRsWeSr/N8z67AY+qwww6T/4dNz74Ge9VIeXUtUsIAZ8G2qm67JQTFhdRVLURJQS4cwTHILanBipWrRASARaE1FaWwmEyoqSiH094g0YOIqJitggDbLl7GTM/Vq1ahtrZODCNl/HiuuiujWKwBMv4qKjIS8fGxcMCCqnqXzG3s6gy/QYkRaKgqwepVK2GvLcHw1KjmvxVmb4S9sUHC+sr2GG1W3VGTYfXvG2+8IQta5iGZKunaZzfCVky1rEqRE3TZ7fjum6/w4L13yP568803faLytDt067/2tykLnlAa6bnnnsO0YXE4YVpXV2qdgy0gWTlLkZudhdr6RiQljN9uZ7H/usRWhCoxgGaZ95idlYVVq1fJ36dMnbo1Kd/0fHqRnDZ+wAEHiIdH9X/3FSEjAsxpGGXgniFVQuUL5iN5o7fIcCpzE0a1amueZlegeAJDRPQg6Un6UnUjw5qsHvz8009xzvS0bdqqPBEdtTLsmDnq2CSOgTOJsWR+mY+lpGciLjoSaKyT+wBnHdITYyXvzCjCtpyjm0JSZTUccCEpOFgWR/T2qYzCw4Fi406YkJKahoSERFgDrKivb0R48LZ5jl2BQvcb8gtRYOO8T2D4yG2N/iv//Fnu99lnnx78Nn0DQ26N5xHPqe70BnJBSf1ijhJk3p76xZ3FKgukWJEQpOe4JScbl190jix4qWblz3niHVoS0CvhisUT7mBfhtWVNALXHza2V8INDKmag0ORmJIuBy0P1Na8OOYc6TWwWIel/MGBgcjIyMSMPWYgc/BgySvutNNO2H36HuLlMRxKQ8bQKnVf6T26bz8voPQE3YXDPeHj3OftPWdHoPfKwa/s5WLP6D333ANfgaFqTn1/9913sWJTHsYMawqzEmfxRqTG74TE2JEIcDXK9JW4xCZjSREAc0MF0uIim+Z58lCoKZV8UWCL9g7zdjM9Y+LjERoSIp9Nb5+Sgps3Z8looWQOuHXQUFqQk5293TzHrlBnB9KSE+FyOZGSnIjahqbjorGhHr9995FIGM6aNauHv1Hvp6fk1hjJ4kQMHltchLEfsnNwgZSOhMRkiSrsv99sVJSXi1YqIzn+TLeMI/NBp556qkiHtUZ3807eAA/it99+C7sNjsGkzN6RwaLQdH5uLixmE4aPHIPI8FCYGyq3f15DpUxmYL5Jco6OagwbNgTBoSEoKmSzuQv3P/Bgi3JuGlnKtnG1auwrQ2icVXCdbcPoTcaNGycFByz6YnjVl8r/ubLnBez65z7BB3ed3zxe1tVYD2fB6iaPjhM2gkKRGjsISfGjJOeIcoq1u2A1DKFnDttklqIcCgMEUg0lLQXJSU2VjfxbRCQ9ABPWrV+PiIhwUU3i3EYurNznOfI44EKrq2wprER6QixGjoppzjmSHz55HRWlNtz64IM90nPnyy0aOyK3xvOa5wtD9+wbpoHkwrgjeGVwuEyyQLru2qvx5x+/i37rfvvtB3+nWzlHqpqwypEFOfROWDXFplQWcLz++uvwZRhSZh7nsAm9F+5zWIIBp511FmhsqIOVcxkrC7d/otMBU30lguzVTWE1RyMcDXX44L33sGz5ckycOKl5rI1xM8IwPInoOXKVylwU83xsxxgIWojcZoqS09PtzDw7b4L9wWeffTZ++mc9nni/7SkdVFNyFW+GpXi9iADITMd2oGHMyivEipUrkJNfyBIe451kHFVocLDsW0YQamtqpN2H+91qRpvzHLtCfaMDq7NK8cf6YizfXCzCARtX/43vP5qLsePGiUiGsj09KbdG40pdZ+Yd+X13Jarz65LFeP65Z6VIj90IDW0If/gT3TKOnPD+4IMP4tBDDxXXmzuV+SHOHfN1rcw//2xSudl1cGtl6T0TYrUGh6GmwYn1a9egtqYWFnoOHVwcDehBTtp1N+yxxx6tNgAzjMrHmf9hi4fRuM8QOe8Nr58GymjtYDVyX3tvRkjH+L59CZ47LGC67aVP8cnPf7f/ZLeRVYhMbvIYW6HR6UKJzSbVq9ztHFUmY4Oyc2Gov/HCGx4WjsbGBjicThQXl8hcxkYHkJjSJEQfn5iCmvrORX6kbSglEmMGRWN4WrRUrBoU5m7BKw9ei6CgQLz5xhsDYtHlDS0aOwpD1xdffLGEWF966aVOvYa1Bpdfdomc4+ybpOMTqPure8aRcXFDR5MrHvbPEVavGj/7KvRmSHLUtjYDc3AEgkbvC+suRyBw5EyYgro2Hd2TxrpqVJcXS/9RdXmJlNyDbR2xQ+GIHQqEJ7Q5Bd7sasTQIUOkbaC9fChPRGqrGhWqzEnx3jCCjAiwb5EeJXVXefL2Jax8df++fQkuNubPny+h47PunotPfmoS5TZZg2BOHA5n0hiY44c2tfNEJUu1KsXFc4orgNDWQ/msVmU4NCIyCiGhYSgrKUVlZQVKSorR0LhtYRUYFIR4VrlGREh+0WK1tpjnWNPgEBm56FAzYsODmsKvbZAaF4raChtWrVyJhuoSDN5atZ2fvQlP3nYBaqsrMW/ePK1S7WPopPBaTEPXGb3j5599GsuXLROlL+b7vV0wvF+N41FHHYVnnnlGfmaBAfMojHMzXDR27Fj4MkbzfB2X21sJGDYN+fZQrFy1BgWNwQjI3HWHPsPqqENcZASigi2Ii46ANTAI2aU1+PXPf7Bq3XqU1bvgCm69fcRpCsCGjRtlsGl70lFcLVJblc+hDiO9Bi56jHAKQzI8sVh809boqt6E2+f+ffsa9Iy/+eZbxMbF4V93PI8XPvoBprjB0uu4ctUq5JTVNgvOGyOryktL4QyKRGNYEhAW12KBxLB6RkoCxoweg5ioJsMX0TyybFuuj9MY2OQ/eswYKcTw1A0PDbTAVpgnBq/Elo+o0LbzhIEWIK+gCEXFpcjNK5SK1fUr/8LDN56N6opSSbEwhK/0LVz4ULWLkSEqT7UHi4HuvedOMYisdu0pD9YX6Na3wLFM9CoI57Oxt/GDDz4Qd5z6e74MJ0qQ5TkVGJxI78YEZ3AMbGvXobwwVwocEkaP3KEQK3NM7sUYzCMW24qRl70FleWRojQSFhCKFmaDhRWWYNTZXZI7ZMENDR6NmmdFKtm8ebPM5KQRdB9Uyr/zdxolo3KO1bJ93QRM4+7+ffsiXEj+/PP/cNBBB+Hfj7yBlUUNOPWYw1FXVSb7MylutFSuslqVjf0cdJxbUISSvCx5jMVYFJ9vFoLgYsLUCJPDiYzUZCRLeCxAco4tMJlhsQZKg/92ix6XA0VFxSgtqxCPsj1tVRa0piRRAMIlFarvvv0WHr7zRgQFBko9Asd0Kf03YJvXYoZWKfvWVuXpow8/iPKyMjzx+OMICQnp8+30Oc+RF073dg1OU/j777/x1Vdf+bzneOCBB8r9u79nb33EBXNdKeJTByMqMV3Ewamr2t3m/9aKMSzOegl5pqQPQvqgTISEBG83BZ6z/FiQUWyzIT0jQ8KjixYtlIsfDaBxI5s2bRKDx/wiw6YszHDPKTLfwMcIFTc4xopNyn0Ft5nheSrkzJw5E74MKwoXLVokuaIX3ngXl958F6rtQGxSisxybBpZFS6zOSloX5KfJb2PxbZCqUx1BUa0EIKgAACTjgyv05NjaL5LmCxITIhHTHSk3LenrZpbXIOQyDhpG3rg3rtwz23XIC01VTRc1TD2L1zMsveRNQVtOSzse332maclNearesY7QrdVhV977TVpJmeFKtU3CKWMjMnTvgoXBRT5/Xp5ARatb4rnN65fhJRgO8bvsS+SMrbminYw79iCyiKkxYRg8sTxGLXTMEQHmWQigzuNDhdKiotEt7O6qgoTdtkFf/31J/595RVYvXq1XDy/+eYbyTPSKDLvxaQ9w6buhTiEPzMywNcxKlBXV9ep9hx6mfQ2me9g8353S/dZhEMDzqo5I/foy1DWjwtLTiT5e9lKnHHZDfh14S9Aed62kVVlW2BtqJS+VmrrNqniuJqFICrLy+Sex0FnYTCANTTBZiciAk0IC7aizu4Ur5Qych1pq1Js4Luff8Vx/3cQ5n/wtiwcWV2sMxsHBvvuu6/Ie/Ja3Zpy1csvvSitaUyL+VK7VL8ax/vvvx8XXXSRjEGiYTTyQ1RgYVLX16EIAL23S17/A0UVdXDWVcJlr0fupnVYvuh75FWbEDBoYs99ICtVKwtlCryzoQYICEFjUAxcwdHNeSeqpMTGJSA4JERWhL/8/BM+/+wzafj//vvv8ddff4kxpPfI/cV+Ri5s6EG6F+J4ysixaKSzIVVe5JnnYP9rZWVlt6a2ML9JySqWpXOMlb/AhQUFD7jApNzbqRdfi/NvfhCV1W4ee3Ux0uIjxYtMT4yRBZIhBBERFb1tpmMnMcOFgrxs/P7bb1izdjXqqysQbDWLfFxZjRMlVfUtBh27w+Pok7dexg0XHo+C3C0yuJrb3tGIM6Xv4Hl7ySWXyOKWEnOe0ZkXX3hezu/jjz++37bR54wj2zUon0ZBWnflFibfOanC12Ev0NNPP4Pc0hqc/NTPMi3dERIDW85mlBdmw5a3WeY59lRrhxAWJ59XWFEnBrm6kWGtMri2TmPgLL+MlETJMzKkO37CBPznjjvx76uuFu+PrRpczDBkyhAp84u8kDGkwoIcd8+Qf2P+mO/Fk6ezIVUaVVaXGiOsuprY5+s4Aoyfx5l13AZ/g+FITiVhVOa1T77F9BMvwy9/Lm+xSAqoLhBDKX2uW4UguK9YkGN2dr4/zWFvlPxibl4utmRlobauVnKOHVGYn4tbLj8dc5+8B0MGD8Yvv/wi3kdbWrxK/3H00UdLJTqrht1ZvGgR1q9fJ2Iuvlr0tqN062jmvL7WCiV4crD6yR+gPBPVW1bklOGIhxZgy7rViE/LbMo7pmTucN7REzubuk0mFNmK8ftvS1BoszHbiUbn1mIca7CE1Nh7xjwhpy4sWbJYVo8sz6YcFMMrNF68MZxKCTnuM0Mlx/AQ6RVQV5UrTjYUd7aZmO9jjMBieLUrQsoswKGeKj1HTnXx55wVFyucsPD444+joKQCB55xNW5++AXUt9aY7SkE4ep84zeFx9n0zxD4oIwMhASHtBAAoEJTXEQQkqICkRQdAqvZhG8+/xAXnXIIlv6xWHqbGQKnYEN3hbOV3oVFNkwDUdWMRXgGH370odyr19jDxpHSRPQcDXhR5YWRiV9Kf/kL1DOk/ueGwkrMPucW/PPbQoweNRzJQfUyz7EnscIhw45LKfTdaIeNvYcRkbAGBqMhKBpbCoqxZu1alFTWYNhOw1FSXIINGzZizZrVoqlJI0gjx585YJi5YeZPWXjDZnF6et3NERrz5fh6Fu/QG2U5eWd7FDljkiXnDMXSgJ911lnwd3hOUeWEFzWq6jz44lvY+4QLsWJtU36/J6DweFJKGnbddTeMGD4SQWGR0udoEBUaiFJbAVatWoktG9fgzhsuwX23XInIiHAJoT711FPidbAyWgQHtmxRAzkA4dgp8vXXXzc/xsk9XMjy2FJ60Dgy9MXhudOnT5eTgaXCDNlRs9OXhKI7A2P6bOg2BQbjxGsexLXXXovyZd/KPMfuIgU9cZlwxA0TdRRYAiSMxmHHw4YNRWZGOtLT0xAdGYHsnFwU2WzI2pKD4NAI5OTkilFKS0/HlCmTMWLESMlB0jDygsufuYJk6JSr/dbUcboK85bMNXLKB40uc5qMLhi56Lbg57NfljfmGCnNx9YgZRvMC//vf//DzTffjBXrNmHG0Wfj6dfe27G+U5cTDnuD5BzZ51jnNKOywYXqOru0ZRiYwLYOG37+6SeceOwR+PKzj6XHeenSpc2evbtwtjGhRRlYGNNQWEVMeA1YtmypVEhrKLyH+xx5wrKSkWEfVibyInjcccfhggsuaB7o6k/wQvHnn3/hlFNOwQvf/IzvluXgwTP3we5jOLC269AgcpZfcdFGGWOURiFoaquWbsagmASkxKRL4YWjrholtgJERMUiKjoSwaGhyC8ogNVSibSMTMmNNmlqBmDvvfcWA2mMyGF+j6FPXtR4oWUolPlIo8+RYdXOhlP5fFa3GiF1Y+J9ezAc9/zzz8tr2OdH0eTuFPD4A/TIWZzE74mLhytufwDf/vIrnrnvti4XwHDyAsea2YptsiCh59iWOWu0u/DeO2/gxeeflfAco0UcquteoNVTwtlK78HiOvY5MgrhLsk4derUft6ygU23pRDYCkAvSdk2lZtVodTNvOmmm3DEne9jzr7jccMJeyM6MrxL79WkirKxeZZfUnwsJOBpDDveOgfQGhYvlYocMZOaMQQRkZEyYaG02CaFFeHBATCKUGkUuapnCJQLGoZUaNSYrGdIlI/T26OR4wWXhorGkb2GhpFk2LM1g8nHaGhpWPm+7XmgzHWyMZneEEOv9BqprOSPk8a7yrRp0+TCxlwfK3p3P/QkvPn0g9h1UtMQ5c7Q2NCA4pISVHBfuoD4BBY9bf/ds4/yrMvOw6+L/tc8ULep2Kt14WzufxpGVVcZmFDCjxEuOjIMgRN/SoF1h2751LwIcqAmTxpeXHmxZVybrRz+DIta2MrCakM2r8/95h/scdWLePenZV0Kg7H5m7P8ImLipefMitbzOEal4vDhOyE2PBBBzhoM2lqxmpGaAqOqn+X4Rl7IUJ7hRYzbZBgyGk6GYxkeZYjVMIwskGGPJB9jrrItg8fjgJ/L+9b0HPk5nN5y6aWXimFkZTPDsOecc44axi7A75eybCxaKrCVYJ9j5uC1dz7q9OsDAgNFWi4yIkKG3FJb1ZPlS//GCUfsL4aR0SCKFLRmGHtDOFvpPbEJnoM8/1mIR4YNG9bfm+V7xpHNyldccYW45dTwu/LKK+VxxrA9+2n8EeZfv/32W/GQXNZgXPD4Jzj6ttewLqdjEeBt8nEhGDN6lKijUASgVTwrFTnmylGPYAsHFtHoNRnkhsamvBA9P94buUAaJSPnwFU/vT72NjIMYxTw0DjS+LVXXEOvlM+j58nCHs9c47p166TUn14iQ67vvfeeyIv5Ywi+J+B+o7fNHFJCQiLOuuw63HL3Q51agHWkrfr1F5/i1GMPQ3lpCebOnSuj6LTU3/thRTLhOWqoX7F4Tmmbbi31eNFn+JCrSoPLL79cwomUkjvppJPg7/ACdvrpp4uHxPAz82t7X/EULjlqT1x+3L4IDrG2Kx8HyseZLXBZAiSE2taoona2QIaYNtQ3whqwLS/EalXmsIwLKU8WenoMpfIEMipbmXOkwWTIlc/lfVdhwQ0vsCzU4vfBBRWPD4ZTlR2HlYa//fabtOrc/chTyC0oxNOP3IeAwA6OlTa0Vd987WXceM0Vsq8//vhjzUn5EFzwEi6OeeM5qPnhXvAc6SlwXmBrDafZ2YbmqEJodFjIwFDiyFGjcf9b32GvSx7BL0vX9+rnOmCWWX7LV6xAdk52c4uF+ygr7kcW5hjVqgyt8jH2N9Jr5D0vlDLnLz5eeh47C9V4OFGcHuKUKVNEVoxRBjWMPQu9fVb5sijslXnv4fTzL+tyO4XZZMJrLz+LG66+XAo32FqjhtG3MM47FuDxfNfzsJeMI0Vqmdxt7YLI9g5le/i90EBQZiunuBKHXfMkrnnyXVTX1vfK5zXaHWL4snNysGbNWinfpsfoXrrNHBGNt+csRwMaSBpE3hiS7UyrB5/H/5FRBErUsReOC4MJEzpfNKJ0Deb7OBWHbRZvv/8xzrvsqi7luN9581Vcf81VIh7BPlP3oQKKb8D6AcIFL89L43elh8Oqu+++u5SWM7FLD5LuOYtQXnjhBQkheuYdeyLMyhwem6J5oeaFlqFdI1TgLdA4MffGixhL4p/7+Cd898caPHfjmZg4qmeT4wFWC2JiYlFcWiohVYZJmQv0DKUwlMrKVHqTO9qjxkpKDlpl/pGeDHOMLNZSeh/uV1awHnnkkZj7+lsYnJmJm67vuJr8h++/xeWXXiyqPFQo4oLJqGpWfAdD4INRBd50/3aMydWNbuKuNI4a6jk7AisoGe5h7ooeGI0k81k0kK3BlRFvBgwjMJzI96GXNBCgV0ZFoeuvvx4upwP/Of84nHvsATCz4Z+tGpJrtIgAAHOOJuYct7ZwGPfuj23/9wDYzQEoKStHTU2tfCZDq/QOuT/4+ca98bPn7609p7V7nmxcGHF/0IuhatAZZ5yhVaj9AMNmHGLNhcrH772FQw4+CJDjI0BE6plnZPUy5QU3bd6CvfeYJr2Pb7/9tiyieNNJ8L7HggULsN9++0mBFaM5PGdZha70cFjVfT5gR7cdNYyE43woPGCEbGkcGUZqC0qRserSuA3EqkguMFjlyzL5zMFDcO1jb+LcO55FXX1PKYy4EGByITY6RgwWDRWr1Dpq7OfzGHJhhSJf19FCiBdjVi+/+OKL4tHzouzZKK70Hew/pnoVq4LPPPdCUbhpDR4HF5x7FkpLS/DKK6+Iigpz0moYfRPDB3LXT1bap0e0g9hDt3597xWY8L3dJ1mz4Z5eYFsFItQ85d+Nm9HbNxChaDMrDlnV+vZXv+D/LrsLJeVVPfTuLtjtjVIkRck4Ft10JOnG8BzbMbiqZPsGDSQvuLzR63bPSzJ8yqIb5hSp7s/pDFTlUfoX5g7pHVBW8Mprrmv1Oa++8jJ+/ulHERRgtav2Kvo2hjHkYtdo01J6yDiyr8pzvh6/YLYrDBkyRHr7WJXYWbHprsCd6X5RNryZtrwaej28kLvfBjL0bukJs9Vh0T9rcOiFt6GopKztF5itcIXGiOC4KyhCSvPbIjAgQEJlNG6870hcnJ4+jSgXFTR+fL4hBMACH74PoYYqjwn2MHI6CVs2KDGmDAw4bYFyc6+/+RZ+/e237YqmbrvlFlG18TctZH/F3TjSe9whbV4/odPGkaEaz/Ju9qxRrYMaq6zEZHkwH+tpWNThPm6FP7OE3ZcuxjT+bHVgpefydVtw2AW3oriMY69aISQK2QUlWLFiJbILiuHkTEeOrbIEo85lhdNEA9gUPrGYIeOIjDaOjsKkxqBj3qiqwZOIIgDM2xoLH0rMUdmGPZLs36SnrmHUgQX3BwtseH/7HXe2+Ntzzz4Dm61IztWBvnBUehZD+EONYw8aRxbAuJd4b9q0SU4+Vl+ef/75IiXHyQGcQ9fTcAXMXJYhnMshy3PmzIEvwu/z3nvvxYr1W3Dc5Xegtm77Vo9GpwkltkJUlpeKBmaj0yXzHLPyCsXDy8rNkz5HA6vFLCEzz1aN1mClIj0KGlPmE2kQjVYPVrXSUHJ/M3/JPCPzi8rAZOzYsVIZ/dnnX8igAMJCjKeefEKqlP/1r3/19yYq/YBhGHUGZw8ZR3od7t4bvQV6iu7i47x4Ml/V01C1hWXqnHpBL5JhP/bR+SrUZ2WRy5J/VuP8W7aXBQswuxCbkIiIqBgRHg8wm2TQcUlxESorylFSbJM+x+7Az2IvFI0k9yXzvcxDsiCK4V96jGzhoZfLkLoysGHxGnnp5blyv2DB18jJyZb9qAop/oMRMTKq0nnTGZzt0+nsO3sV6dUYzf5vvfUWnn766eYcFOGX3R2Zsc56j7z5C6y4pWGiDunEMSNw+VluvaK15UhPjEVyYoKMrqKuakBQOGLjEmAymREbFy99ju0ZQJ4QRv6hNfg3QzrO6I26/fbbpbqWRRyUC1QGPhxVxgXlu++9h7vuvhvvvfuuPK5zM/0Lo9aABXlc+PK8Z2SIMFKkhVjb0+lvhJ4Mqyo5fYNfJNsQuPp0h03fKjvVM9A4ccYhFxy3PPoSdt91PKbttkvTH512mGpKEbi1txGWQCYTkJKShqTkFAQFmGEBE/CWVhPzrF5lcQ0LdNj83RrsE2UkwJgXSK1N9jFSAIJ9jJpj9J7jiNWonKKzdu1afPXVlxJuZT5Z8R8M8Xie1zSQRhW6zuDsAePIL5OScRStZSGMZzEMPQxqiBoC18qOw4P3nXfeweTJk3HGNXdh0TefIDQsBgG0efXb2j1YkJOdy2HDxRJmzUhLpbxDq+/JE8OY0NGeoDiNKHMSDL8wvMowOsPbjBjoyeRdsIeRxpGLG+aKjznmmP7eJKWPMa7XPKeplsWFL+sKdAZnD/Y50vi1ViVKT4L9hypo27Nwlc/83uacPFx4zW1YsXIlsgtL4QreVmVod5lEGSc2PgnhkdGos7vgEK/R1Gp4hfuQ+4leYUcnBg3ojTfeKNqsXPwMREEFpX2MaA57H42hyYp/YaS/2BvOcCrPf+1rbR/9ZrwA5vjYSvP+R59g0tgR2Hf2vkhKiIcxZY/jhyhgbiu2ITauDhE8EVxODEpP2y6wyjAbc1BshelMMzA/9/vvv5cmf05dUbwPygZyQcSIARk/fnx/b5LSxxgtO+xfZtRIW3j6SCFH6V3oldNr4+rvkWdfRmBQqFSsGtgb61FbUymJ9rycHDjsjSjhCKpGe5vvxxUjvcL2+p3Yz3jHHXdIXpJ5RsU74f6mSIfxs+Yb/Q/KCRKj48D4XWkbNY5eJAnGvtIiWzGeePppmOq2CQQEmIG4mBjEREUgPSMDVqsFsfHxCAzofmCARpN9q1xlsiqZ+UbFe2HKw7go6rgi/4P7nDe2YRGtDekYNY5eBHVMZ82ahRdfnYefflnS/DhbOTJSEjB29EgMHzoYiQkJyEhNgWUHCko/++wzEXynDBmrHRXvhk3/XZ2oo/gWrDGg3KPxs9I+eqZ4EQyJPfvss7ICvOC6/6DOUM9xOcVABrnqYbXXINjMchyKALQMmbLylKXcHUlHUQXnlltuEW9Rw6m+gTH7VI2j/0KDaExJUs+xY/RM8TKYL6IA/LpNW3Dno8906jWc38cqNRZkrFmzRvoc24N5RoqNc94kC3cU36lWVE1N/8XdW/S2QfH9gRpHL4TTO6hl++DTL2PpiibNzLZwOIEtWVlYunSpTNKg10kj2ZZkFMdOzZs3D7Nnz8Zpp53WS/+B0tcYog0q3uC/uBtHDat2jBpHL4SVppyGIQNrr7653YHSDVub/tn8yzJu9qgypNJafxObg6mExOewCEcvpL6D7kvF3SBqWLVj1Dh6Kbvuuqvom/7651I8+eJrHc5zZF8Tp6pQGYN9jjSovGC6XzQZRmU1G8O2w4YN66P/ROkLjMUQdTQV/8TdIKpx7Bg1jl4MjRgHTd9y90PYkpPX4TxHGkdeJJlzXL58ucxjNIwjf6fEGMO1Kirue3C/7rbbbjJuTPFP3NuxtDWrY9Q4ejFhYWES/qyuqcEl196KLbkFHc5zdNdWpfg4c4/0IikkzzAtw7U9JSnF99aZcQMDSsb9+uuvahz9GI6cM/ClQfG9hRpHL2f//feXcWKfffk13nv/vQ7nObamrTp37lz8/vvvuPTSSyVc2xPQIHJWnM6MU5SBgUrGdQ2Tyw9quysqKmTVxIIUXzxAKPPGYcQcS/PWay8jfVAmMtLSYKUKgNkKkyUAMFvEM+SNhooeJHveOHGDBpHfC71O9/mcOwI9RhpGihzzPRnWpfeqKEr/8Omnn+LQQw+Vn/3gsr/DqOfoA7AX8b///a8YyY/mf9akjiPzHNGhtuqtt94qi4eHH364xwwj4Sgceqg6M05RBk4aRuk86jn6CMwbsuCC3trSX3/GsGE7wcRByK14jnwu7zm8mpPi2dNIqbieLvenh0oxdJ0Zpyj9z+LFi5vHlfnBZX+HUc/RR2CxDVsxaIxuvv2uDp/Pk+Omm26S0Cpf1xt9cDSIOjNOUQYGWoTTNdQ4+hAzZ87EwQcfjLfe+wD/LFve7nM5o/HHH38UFZxx48b12TYqitI/aGqja6hx9DFuv/12ub/7vgfbfd69994rHh3HUimK4vuwYE/pPGocfQxWnh5wwAF494OPsHnzllaf8+eff4rXeOKJJ4qIgKIovo+mN7qGGkcfhP2K0tD/0sut/v25555rfp6iKP6BGseuodWqPggN4+DBg1l1gw1rV8ESENRcrcrRVdRWHT58uDT+K4riH7CnOSUlRX72g8v+DqOeow/CClSq5mRlZ2PR4iUt/saWDUrHnXzyyf22fYqi9D06maVrqHH0UY488ki5//Szz7ZTyXD/u6Io/oF6i11DjaOPMnnyZFGmWfDNty1Ojm+++QYjR47UQhxFUZR2UOPow6HVvfbaC3/8+Zfom5KNGzciKytLHlcUxb/QsGrXUOPow0yfPl2KcH7//Q+Rcvv888/lcRbj6JQMRVGUtlHj6MMY46f++PMPkZUzqlMzMjLkd0VR/Af1HLuGNr74MBMmTJD7pcuWiXQU5ypynuOkSZNUSkpR/AxOyJk1a5aIhCgdo32OfjDOasjgwVi4aJEU4fAE+euvv7QhWFEUpR00rOrjcAjyqtWrUVtbK54jhw6rYVQURWkfNY4+zogRI8RjXrJkibRysBhHURRFaR81jj7OsGHDmpVx3H9XFEVRvNw40uO59dZbMX78eGRmZuKII45AcXFxf2+WV2A0+3N+Ixk6dGg/b5GiKMrAxyuMY2NjI6Kjo2XU0oYNG2SiNY1lW9TX10sRjvvNX+FigixcuLDF74qiKIqXG0e2HVx22WWwWCxy23333VFQUNDm8++66y6pTjVu7OvzVwYNGtSizyktLa1ft0dRFMUb8LpWjqKiIuy5556455578H//939teo68GdBzpIH0x1YOh8Mhiwsq5SQmJra7qFAURVGaGDA1/TfeeCM+/PDDFo/Fx8c358rId999h7PPPhtXXXVVm4aRBAUFyU2BeNo0iu6z3BRFURQf8RwfeeQRvPrqq5g7dy7Gjh3bpdf6swgA2WWXXfD3339jv/32a65aVRRFUbzAc2yPtWvX4r777sPKlSsRERHR35vjdRjfGT1xRVEUxUeM4x9//IGSkhJMnDix+TGGTZcvX96v2+VtsOJXURRF8RHjePzxx8tN2TE1flXlVxRF8aFWDkVRFEXpS9Q4KoqiKIoHahwVRVEUxQM1joqiKIrigRpHP8CYxJGcnNzfm6IoiuIVeEW1qrJjzJkzB6GhoTjkkEP6e1MURVG8Aq9RyNkR/F0hR1EURekaGlZVFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4u3Gce7cuTCZTMjPz+/vTVEURVF8FK8yjjSIjzzySH9vhqIoiuLjeI1xdDqdOP3003H33Xd3+Nz6+npUVFS0uCmKoiiKzxnHm2++GWPGjMH+++/f4XPvuusuREVFNd8yMjL6ZBsVRVEU38DkcrlcGADceOON+PDDD1s8Fh8fj++//x4vv/wy5s2bh08//RQWi0Vyjnl5eUhOTm7Tc+TNgJ4jDWR5eTkiIyN7/X9RFEVRvJsBYxzbY/jw4RJWDQgIkN9Xr16NnXbaSfKPBx98cIevp3GkB6nGUVEURfEZ4+hJR56jJ2ocFUVRFJ/MOSqKoihKX2GFF+KFzq6iKIriRajnqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqKoiiKB2ocFUVRFMUDNY6KoiiK4oEaR0VRFEXxQI2joiiKonigxlFRFEVRPFDjqCiKoigeWOEHuFwuua+oqOjvTVEURVH6mYiICJhMpnaf4xfGsbKyUu4zMjL6e1MURVGUfqa8vByRkZHtPsfkMtwqH8bpdCI3N7dTqwVfhB4zFwZZWVkdHhCK76LHgaLHQBPqOW7FbDYjPT0d/g5PBn8+IZQm9DhQ9BjoGC3IURRFURQP1DgqiqIoigdqHP2AoKAg3HLLLXKv+C96HCh6DHQevyjIURRFUZSuoJ6joiiKonigxlFRFEVRPFDjqCiKoigeqHFUFEVRFA/UOCqtMnPmTMybN6/Vvx122GHYvHlzn2+Tongbp59+Ou6+++5W/3bGGWdgyZIlfb5NSudQ49jDDB48GIsWLWrx2K233orzzjsPAw273Y677roLo0aNQmZmpqgIXX311R2+7pNPPpHn+zPetJ8pk7XHHnts93hDQ4Ps8wMPPLBftsvXePbZZ7HLLruIPBu/1xNPPLHd57/44ouYMmVKr27Tpk2bZP+ffPLJ2/3NZrMhNDR0QB6zAwG/kI9TtocdPEceeSQCAwPx/fffIzk5WTRoN27c2N+bpvQCGzZsEC/F/WL8xhtvyD5XdpwLL7wQy5Ytw7vvvouddtpJHlu7di3++9//9vemyTn+zTffICcnB2lpac2PP/7444iOju7XbRvIqOfYh3h6Fu6/8+djjz0Whx9+OBITE3HaaafJAb3rrrsiKSlJPDyDSy65RE7AQYMG4Zxzzmnhzdx5553Ybbfd5D3aOzE//vhjOXnffPNNMYyGBu2wYcOan/PPP/9gxowZ8vlnn312q14Tf7755psxadIkeR4vDvQ+uX0jR47En3/+Kc97+eWXxUPh+/Az+LevvvoKvshA2s8Gc+bMwQMPPNBiccTf3b2bkpISHHTQQfKZjAw8//zzLaIF3Mfcd5MnT5bHPvvsM4wfPx5Dhw6VbeHxRMrKyuR9hwwZgt13313ChwwvdvTdVFVV4cwzz8To0aMxYsQIPP300/AG/v77b7z11lv44IMPmg0jGT58uNxT5Hu//fZDSkqK7Hd67J6pC/585ZVXyvcVFxcnhuuhhx6SqA73v3GucCE7btw4XH/99fId8Tt+9dVX290+eo4nnHACHn300ebHamtr8cILL+Coo45qfmz9+vXYa6+95H8YNmyY7HN3L3fs2LGyr43XvPTSS7KveDzOmjVLPFGSnZ0txxGfu+++++Loo4+W/dxamNn994KCAnlv/s/8LH6f/Ykax16AByJ3sHHjgd4ZaHB4wPEiw5Ph3nvvlcd4QtAAGfMoeYLxOStXrsT8+fPxyy+/NL8HH6eH8O2338oBWVhY2Opnfffdd2KsuKpsi99++00u3DSSb7/9Nn799ddWn8eT4o8//pCTj+EbXhTWrVuHI444osXFnv8HTwaehI888og8t6amBt6KN+xng7POOkueu2XLFvn9888/l4v1zjvv3PwcepE0utx3H374oRhnh8MhCxy+nhdh7jtuC4mPj8dPP/0kXinDtvfdd588/u9//xthYWHy3C+++AJ//fVXp74Xvo4Xfv6//D7uuOMOrFmzBgMdnktcRMbGxrb6d35HXDTye12+fDk++uijVp/H//Xnn3+WRccVV1yB4uJirFq1Ctdddx1uvPHG5ufx+2H4ls/nfqLXSgPcHpdffrkcc9XV1fI7f6YB4z404OKYRpDbef/994uxJjSSNGDcl9zXTz31lDxOI8pjg6HbqKgoCSsTnuM08nwuj5nO5lW5gDvllFPkf/7000/lmOvPGbwaVu0FuBqcNm1a8++8eOXn53f4utmzZ8uqkfDgZ9gzICBAVme82DAsYqjp8z1Xr14txsX9xOABxoOcF5mEhAQpnOGKfP/9929+Do1dXV2dHNDtcdJJJ4nMFD0avh9PAsNrcOf444+X+7333ltWxfSGCE8QXvAN+Foj90XDzP+JJwI9Em/EG/Yzc0okPDxcvHYuSugx0pDxostRbgbcJl6cX3/9dbnw0rvgwocXdi5kuJonPB4IPYNXXnlFPmfhwoXN81J5MeWiitvHY4yeMv+Hjnj//ffl+c8884z8TsPM7aCHNJDhudSeHBu9IeNc4/HC86g1jjnmGFgsFkydOlXuTz311ObzyPC8SGpqKo477jj5ecKECXL+cOHK9/3Xv/4lj9NQuxslRgJ43NH40Zg+/PDDsp8YOTJgnpSL4MceewxLly5tPt54nF900UXN+9fY/3xPLghp8HkMcLHF45SLMBptY1sPPvjgDr9DGu2vv/5a/gd6xcRqtcrvjE70B2oc+xDubBbBGDQ2Nrb4u/sJxud6/s6LBQ+8c889V0JO559/vpx47gqAwcHBzT/TK+RreBHjatCdiRMnStiMr21rrpn7e/HizfdqDWM7uY2ev7u/xtNL5QnBi7avMZD2szv0BHmhYbUxQ6g0pAx3G/ACzGjBbbfdJhc+hmz5mbzgee47fh4v4pdeeimuueYafPnll81hOBpV9+cbYcSOvhs+zlAaDb43wXOJRoL/d0hIyA6fR4TGsavn0Z577tnu/r/qqqtkoUIjxkgHUxvu0FPj51522WXyeTTKhPuf2+0Ojx/mr7nQ4ns++eSTMkCYCwXj/+zK/ufnMXLB42+gXBM0rNqHMAzB8CMPAh4gCxYs6PJ7MIzBlTRj+TxAme/oDlyVVlZWyiqS94TbxBVjb7F48WJZZRphHXo87jlOX2Eg7Wd3mFtmqJb5QCNk5g63mbkv5g8Z2jM45JBDxJs0PB56FMwrsniLUQN6FO75KYYYjRBbUVFRi5ag9r4b/q8M5xkXTxpcb4CLDB7H9K6N8DYXFT2xz1qD+4GhXEIPnVED9whGe0ac+cGLL75YQtiecL8w1MoF1Mcff9z8+KGHHirePPelsf+572nQGPWIiYlp3lf0WGl4jf3P0CpDpO77nwaQMNLBSAVhlITH3T333CO/8727c970JGoc+xCu/nlw8kBmWMw9ed+VPBcT13wfFmIwLNcdGG778ccfUV9f35zYZ1iPuajegttKr4Q5yeeeew7vvPOOrFR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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from plotfig import *\n", + "\n", + "\n", + "human_color = \"#e38a48\"\n", + "chimp_color = \"#919191\"\n", + "macaque_color = \"#4573a5\"\n", + "\n", + "np.random.seed(42)\n", + "human_chimp = 1 + np.random.normal(0, 1, 100)\n", + "human_macaque = 2 + np.random.normal(0, 1, 100)\n", + "chimp_macaque = 3 + np.random.normal(0, 1, 100)\n", + "\n", + "fig, ax = plt.subplots(figsize=(5,5))\n", + "ax = plot_one_group_violin_figure(\n", + " [human_chimp, human_macaque, chimp_macaque],\n", + " ax=ax,\n", + " labels_name=[\"Human-Chimp\", \"Human-Macaque\", \"Chimp-Macaque\"],\n", + " y_label_name=\"Spearman correlation\",\n", + " width=0.7,\n", + " gradient_color=True,\n", + " colors_start= [human_color, human_color, chimp_color],\n", + " colors_end= [chimp_color, macaque_color, macaque_color],\n", + " show_dots=True,\n", + " dots_size=7,\n", + " statistic=True,\n", + " test_method=[\"mannwhitneyu\"]\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "plotfig (3.11.11)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml index 68f0e28..a4e2360 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,48 +11,34 @@ authors = [ dependencies = [ "kaleido>=1.0.0", "loguru>=0.7.3", - "matplotlib>=3.10.1", - "mne-connectivity>=0.7.0", + "matplotlib>=3.10.6", "nibabel>=5.3.2", - "numpy>=2.2.4", - "pandas>=2.2.3", - "plotly>=6.1.1", - "scipy>=1.15.2", + "numpy>=2.3.2", + "plotly>=6.3.0", + "pycirclize>=1.10.0", + "scipy>=1.16.1", "surfplot", + "tqdm>=4.67.1", ] [dependency-groups] dev = [ "ipykernel>=6.30.1", "mkdocs-git-revision-date-localized-plugin>=1.4.7", - "mkdocs-material>=9.6.14", + "mkdocs-material>=9.6.18", "mkdocs-minify-plugin>=0.8.0", - "mkdocstrings[python]>=0.29.1", + "mkdocstrings[python]>=0.30.0", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" -[tool.ruff] -exclude = [ - "examples/example.ipynb" -] - -[tool.commitizen] -name = "cz_conventional_commits" -tag_format = "$version" -legacy_tag_formats = "v$version" -version_scheme = "pep440" -version_provider = "uv" -update_changelog_on_bump = true -major_version_zero = false - [tool.hatch.metadata] allow-direct-references = true [tool.uv.sources] -surfplot = { git = "https://github.com/danjgale/surfplot.git", rev = "9d59fa06c941b5ac2a8759b472f5db24883c8a48" } +surfplot = { git = "https://github.com/danjgale/surfplot" } [[tool.uv.index]] name = "pypi" @@ -65,4 +51,3 @@ name = "testpypi" url = "https://test.pypi.org/simple/" publish-url = "https://test.pypi.org/legacy/" explicit = true - diff --git a/release-please-config.json b/release-please-config.json index cb34340..0785a94 100644 --- a/release-please-config.json +++ b/release-please-config.json @@ -9,19 +9,19 @@ "changelog-sections": [ { "type": "feat", - "section": "Features" + "section": "Features ✨" }, { "type": "fix", - "section": "Bug Fixes" + "section": "Bug Fixes 🔧" }, { "type": "refactor", - "section": "Code Refactoring" + "section": "Code Refactoring ♻️" }, { "type": "perf", - "section": "Performance Improvements" + "section": "Performance Improvements ⏲️" } ], "$schema": "https://raw.githubusercontent.com/googleapis/release-please/main/schemas/config.json" diff --git a/src/plotfig/__init__.py b/src/plotfig/__init__.py index b76b6ab..9003ffd 100644 --- a/src/plotfig/__init__.py +++ b/src/plotfig/__init__.py @@ -1,3 +1,5 @@ +from importlib.metadata import version, PackageNotFoundError + from .bar import ( plot_one_group_bar_figure, plot_one_group_violin_figure, @@ -5,37 +7,40 @@ ) from .correlation import plot_correlation_figure from .matrix import plot_matrix_figure -from .circos import plot_symmetric_circle_figure, plot_asymmetric_circle_figure from .brain_surface import plot_brain_surface_figure -from .brain_surface_deprecated import ( - plot_human_brain_figure, - plot_human_hemi_brain_figure, - plot_macaque_brain_figure, - plot_macaque_hemi_brain_figure, - plot_chimpanzee_brain_figure, - plot_chimpanzee_hemi_brain_figure, -) +from .circos import plot_circos_figure from .brain_connection import plot_brain_connection_figure, save_brain_connection_frames +from .utils import ( + gen_hex_colors, + gen_symmetric_matrix, + gen_cmap, + value_to_hex, + is_symmetric_square, +) -from importlib.metadata import version, PackageNotFoundError __all__ = [ + # bar "plot_one_group_bar_figure", "plot_one_group_violin_figure", "plot_multi_group_bar_figure", + # correlation "plot_correlation_figure", + # matrix "plot_matrix_figure", + # brain_surface "plot_brain_surface_figure", - "plot_human_brain_figure", - "plot_human_hemi_brain_figure", - "plot_macaque_brain_figure", - "plot_macaque_hemi_brain_figure", - "plot_chimpanzee_brain_figure", - "plot_chimpanzee_hemi_brain_figure", - "plot_symmetric_circle_figure", - "plot_asymmetric_circle_figure", + # circos + "plot_circos_figure", + # brain_connection "plot_brain_connection_figure", "save_brain_connection_frames", + # utils + "gen_hex_colors", + "gen_symmetric_matrix", + "gen_cmap", + "value_to_hex", + "is_symmetric_square", ] try: diff --git a/src/plotfig/bar.py b/src/plotfig/bar.py index 005999b..e567a11 100644 --- a/src/plotfig/bar.py +++ b/src/plotfig/bar.py @@ -28,7 +28,7 @@ ] # 创建随机数生成器 -RNG = np.random.default_rng(seed=1998) +RNG = np.random.default_rng(seed=42) def _is_valid_data(data): @@ -947,37 +947,6 @@ def plot_multi_group_bar_figure( Axes: 返回matplotlib的坐标轴对象 """ - def _is_valid_data_for_multi_group(data): - if not data.any(): - raise ValueError("data 不能为空") - NumberTypes = (int, float, np.integer, np.floating) - # 1) 3D ndarray - if isinstance(data, np.ndarray): - return data.ndim == 3 - # 必须是外层序列 - if not isinstance(data, (list, tuple)): - return False - # 2) 平铺的 list，其中每个元素都是 2D ndarray - if all(isinstance(x, np.ndarray) and x.ndim == 2 for x in data): - return True - # 3) 外层是 groups：每个 group 是序列，group 内的 bar 要么 1D ndarray 要么数字序列 - for group in data: - if not isinstance(group, (list, tuple)): - return False - for bar in group: - if isinstance(bar, np.ndarray): - if bar.ndim != 1: - return False - elif isinstance(bar, (list, tuple)): - if not all(isinstance(v, NumberTypes) for v in bar): - return False - else: - return False - return True - - if not _is_valid_data_for_multi_group(data): - raise ValueError("无效的 data") - ax = ax or plt.gca() group_labels = group_labels or [f"Group {i + 1}" for i in range(len(data))] n_groups = len(data) diff --git a/src/plotfig/brain_connection.py b/src/plotfig/brain_connection.py index 90c69a5..83b2d92 100644 --- a/src/plotfig/brain_connection.py +++ b/src/plotfig/brain_connection.py @@ -122,7 +122,7 @@ def _get_gradient_color(value, color): """获取渐变色""" assert 0 <= value <= 1, "value 必须在0和1之间" cmap = LinearSegmentedColormap.from_list("grad_cmap", ["white", color]) - rgba = cmap(value) + rgba = cmap(float(value)) # 坑，必须要用浮点数 return to_hex(rgba[:3]) nodes_num = connectome.shape[0] @@ -209,7 +209,7 @@ def plot_brain_connection_figure( line_width: Num = 10, line_color: str = "red", ) -> go.Figure: - """绘制大脑连接图，保存在指定的html文件中 + """绘制大脑连接图，保存在指定的html文件中。 Args: connectome (npt.NDArray): diff --git a/src/plotfig/brain_surface.py b/src/plotfig/brain_surface.py index 6085260..d5cc2a2 100644 --- a/src/plotfig/brain_surface.py +++ b/src/plotfig/brain_surface.py @@ -1,5 +1,6 @@ from pathlib import Path from typing import TypeAlias +from collections.abc import Mapping import numpy as np import nibabel as nib @@ -42,7 +43,7 @@ def _map_labels_to_values(data, gifti_file): def plot_brain_surface_figure( - data: dict[str, float], + data: Mapping[str, Num], species: str = "human", atlas: str = "glasser", surf: str = "veryinflated", @@ -66,14 +67,6 @@ def plot_brain_surface_figure( ) -> Axes: """在大脑皮层表面绘制数值数据的函数。 - 脑区图是一种用于在大脑皮层表面可视化数值数据的图表。它能够将不同脑区的数值映射到大脑皮层的相应区域， - 并以颜色编码的方式展示这些数值的分布情况。这种图表常用于展示神经科学研究中的各种脑区指标， - 如功能连接强度、激活程度或其他数值化的大脑特征。 - - 本函数基于 surfplot 库开发，提供了一个统一且简化的接口来绘制人脑、猕猴脑和黑猩猩脑的表面图。 - 支持多种脑图谱，包括人脑的 Glasser 和 BNA 图谱、猕猴脑的 CHARM5/6、BNA 和 D99 图谱， - 以及黑猩猩脑的 BNA 图谱。 - Args: data (dict[str, float]): 包含脑区名称和对应数值的字典，键为脑区名称（如"lh_bankssts"），值为数值 species (str, optional): 物种名称，支持"human"、"chimpanzee"、"macaque". Defaults to "human". diff --git a/src/plotfig/brain_surface_deprecated.py b/src/plotfig/brain_surface_deprecated.py deleted file mode 100644 index 421858f..0000000 --- a/src/plotfig/brain_surface_deprecated.py +++ /dev/null @@ -1,1288 +0,0 @@ -import os.path as op -import math -import numpy as np -import pandas as pd -import nibabel as nib -from matplotlib.ticker import ScalarFormatter -from matplotlib.cm import ScalarMappable -from surfplot import Plot - -from typing import TypeAlias -import numpy.typing as npt -import matplotlib.pyplot as plt -import warnings # 在顶部导入 - -# 类型别名定义 -Num: TypeAlias = float | int # 可同时接受int和float的类型 -NumArray: TypeAlias = list[Num] | npt.NDArray[np.float64] # 数字数组类型 - -__all__ = [ - "plot_human_brain_figure", - "plot_human_hemi_brain_figure", - "plot_macaque_brain_figure", - "plot_macaque_hemi_brain_figure", - "plot_chimpanzee_brain_figure", - "plot_chimpanzee_hemi_brain_figure", -] - - -def plot_human_brain_figure( - data: dict[str, float], - surf: str = "veryinflated", - atlas: str = "glasser", - vmin: Num | None = None, - vmax: Num | None = None, - plot: bool = True, - cmap: str = "Reds", - as_outline: bool = False, - colorbar: bool = True, - colorbar_location: str = "right", - colorbar_label_name: str = "", - colorbar_label_rotation: int = 0, - colorbar_decimals: int = 1, - colorbar_fontsize: int = 8, - colorbar_nticks: int = 2, - colorbar_shrink: float = 0.15, - colorbar_aspect: int = 8, - colorbar_draw_border: bool = False, - title_name: str = "", - title_fontsize: int = 15, - title_y: float = 0.9, - rjx_colorbar: bool = False, - rjx_colorbar_direction: str = "vertical", - horizontal_center: bool = True, - rjx_colorbar_outline: bool = False, - rjx_colorbar_label_name: str = "", - rjx_colorbar_tick_fontsize: int = 10, - rjx_colorbar_label_fontsize: int = 10, - rjx_colorbar_tick_rotation: int = 0, - rjx_colorbar_tick_length: int = 0, - rjx_colorbar_nticks: int = 2, -) -> plt.Figure | tuple[np.ndarray, np.ndarray]: - """ - 绘制人类大脑表面图，支持 Glasser 和 BNA 图谱。 - - Args: - data (dict[str, float]): 包含 ROI 名称及其对应值的字典。 - surf (str, optional): 大脑表面类型（如 "veryinflated", "inflated"）。默认为 "veryinflated"。 - atlas (str, optional): 使用的图谱名称，支持 "glasser" 或 "bna"。默认为 "glasser"。 - vmin (Num, optional): 颜色映射的最小值。可以是整数或浮点数。默认为 None。 - vmax (Num, optional): 颜色映射的最大值。可以是整数或浮点数。默认为 None。 - plot (bool, optional): 是否直接绘制图形。默认为 True。 - cmap (str, optional): 颜色映射方案。默认为 "Reds"。 - as_outline (bool, optional): 是否以轮廓形式显示颜色层。默认为 False。 - colorbar (bool, optional): 是否显示颜色条。默认为 True。 - colorbar_location (str, optional): 颜色条的位置。默认为 "right"。 - colorbar_label_name (str, optional): 颜色条的标签名称。默认为空字符串。 - colorbar_label_rotation (int, optional): 颜色条标签的旋转角度。默认为 0。 - colorbar_decimals (int, optional): 颜色条刻度的小数位数。默认为 1。 - colorbar_fontsize (int, optional): 颜色条标签的字体大小。默认为 8。 - colorbar_nticks (int, optional): 颜色条上的刻度数量。默认为 2。 - colorbar_shrink (float, optional): 颜色条的缩放比例。默认为 0.15。 - colorbar_aspect (int, optional): 颜色条的宽高比。默认为 8。 - colorbar_draw_border (bool, optional): 是否绘制颜色条边框。默认为 False。 - title_name (str, optional): 图形标题。默认为空字符串。 - title_fontsize (int, optional): 标题字体大小。默认为 15。 - title_y (float, optional): 标题在 y 轴上的位置（范围通常为 0~1）。默认为 0.9。 - rjx_colorbar (bool, optional): 是否使用自定义颜色条。默认为 False。 - rjx_colorbar_direction (str, optional): 自定义颜色条方向，支持 "vertical" 或 "horizontal"。默认为 "vertical"。 - horizontal_center (bool, optional): 水平颜色条是否居中。默认为 True。 - rjx_colorbar_outline (bool, optional): 自定义颜色条是否显示边框。默认为 False。 - rjx_colorbar_label_name (str, optional): 自定义颜色条标签名称。默认为空字符串。 - rjx_colorbar_tick_fontsize (int, optional): 自定义颜色条刻度字体大小。默认为 10。 - rjx_colorbar_label_fontsize (int, optional): 自定义颜色条标签字体大小。默认为 10。 - rjx_colorbar_tick_rotation (int, optional): 自定义颜色条刻度标签旋转角度。默认为 0。 - rjx_colorbar_tick_length (int, optional): 自定义颜色条刻度长度。默认为 0。 - rjx_colorbar_nticks (int, optional): 自定义颜色条上的刻度数量。默认为 2。 - - Returns: - Union[plt.Figure, tuple[np.ndarray, np.ndarray]]: 如果 `plot=True`，返回 matplotlib 的 Figure 对象； - 否则返回左右脑数据数组的元组 `(lh_parc, rh_parc)`。 - """ - # 发出弃用警告 - warnings.warn( - "plot_human_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。", - DeprecationWarning, - stacklevel=2 - ) - - # 设置必要文件路径 - current_dir = op.dirname(__file__) - neuromaps_data_dir = op.join(current_dir, "data/neurodata") - if atlas == "glasser": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_Glasser/fsaverage.L.Glasser.32k_fs_LR.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_Glasser/fsaverage.R.Glasser.32k_fs_LR.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables/human_glasser.csv")) - elif atlas == "bna": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_BNA/fsaverage.L.BNA.32k_fs_LR.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_BNA/fsaverage.R.BNA.32k_fs_LR.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "human_bna.csv")) - # 获取文件Underlay - lh = op.join( - neuromaps_data_dir, - f"surfaces/human_fsLR/tpl-fsLR_den-32k_hemi-L_{surf}.surf.gii", - ) - rh = op.join( - neuromaps_data_dir, - f"surfaces/human_fsLR/tpl-fsLR_den-32k_hemi-R_{surf}.surf.gii", - ) - p = Plot(lh, rh) - # 将原始数据拆分成左右脑数据 - lh_data, rh_data = {}, {} - for roi in data: - if "lh_" in roi: - lh_data[roi] = data[roi] - elif "rh_" in roi: - rh_data[roi] = data[roi] - # 加载图集分区数据 - lh_roi_list, rh_roi_list = ( - list(df["ROIs_name"])[0 : int(len(df["ROIs_name"]) / 2)], - list(df["ROIs_name"])[int(len(df["ROIs_name"]) / 2) : len(df["ROIs_name"])], - ) - # 处理左脑数据 - lh_parc = nib.load(lh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in lh_roi_list} - for vertex_index, label in enumerate(lh_parc): - if label - 1 >= 0: - roi_vertics[lh_roi_list[label - 1]].append(vertex_index) - lh_parc = np.full(lh_parc.shape, np.nan) - for roi in lh_data: - lh_parc[roi_vertics[roi]] = lh_data[roi] - # 处理右脑数据 - rh_parc = nib.load(rh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in rh_roi_list} - for vertex_index, label in enumerate(rh_parc): - if label - 1 - len(lh_roi_list) >= 0: - roi_vertics[rh_roi_list[label - 1 - len(lh_roi_list)]].append(vertex_index) - rh_parc = np.full(rh_parc.shape, np.nan) - for roi in rh_data: - rh_parc[roi_vertics[roi]] = rh_data[roi] - # 画图 - if plot: - # 画图元素参数设置 - if vmin is None: - vmin = min(data.values()) - if vmax is None: - vmax = max(data.values()) - if vmin > vmax: - print("vmin必须小于等于vmax") - return - if vmin == vmax: - vmin = min(0, vmin) - vmax = max(0, vmax) - # colorbar参数设置 - colorbar_kws = { - "location": colorbar_location, - "label_direction": colorbar_label_rotation, - "decimals": colorbar_decimals, - "fontsize": colorbar_fontsize, - "n_ticks": colorbar_nticks, - "shrink": colorbar_shrink, - "aspect": colorbar_aspect, - "draw_border": colorbar_draw_border, - } - p.add_layer( - {"left": lh_parc, "right": rh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - as_outline=as_outline, - ) - fig = p.build(cbar_kws=colorbar_kws) - fig.suptitle(title_name, fontsize=title_fontsize, y=title_y) - ############################################### rjx_colorbar ############################################### - sm = ScalarMappable(cmap=cmap) - sm.set_array((vmin, vmax)) # 设置值范围 - if rjx_colorbar: - if rjx_colorbar_direction == "vertical": - formatter = ScalarFormatter(useMathText=True) # 科学计数法相关 - formatter.set_powerlimits( - (-3, 3) - ) # <=-1也就是小于等于0.1，>=2，也就是大于等于100，会写成科学计数法 - cax = fig.add_axes( - [1, 0.425, 0.01, 0.15] - ) # [left, bottom, width, height] - cbar = fig.colorbar( - sm, cax=cax, orientation="vertical", cmap=cmap - ) # "vertical", "horizontal" - cbar.outline.set_visible(rjx_colorbar_outline) - cbar.ax.set_ylabel( - rjx_colorbar_label_name, fontsize=rjx_colorbar_label_fontsize - ) - cbar.ax.yaxis.set_label_position( - "left" - ) # 原本设置y轴label默认在右边，现在换到左边 - cbar.ax.tick_params( - axis="y", - which="major", - labelsize=rjx_colorbar_tick_fontsize, - rotation=rjx_colorbar_tick_rotation, - length=rjx_colorbar_tick_length, - ) - cbar.set_ticks(np.linspace(vmin, vmax, rjx_colorbar_nticks)) - if vmax < 0.001 or vmax > 1000: # y轴设置科学计数法 - cbar.ax.yaxis.set_major_formatter(formatter) - cbar.ax.yaxis.get_offset_text().set_visible( - False - ) # 隐藏默认的偏移文本 - exponent = math.floor(math.log10(vmax)) - # 手动添加文本 - cbar.ax.text( - 1.05, - 1.15, - rf"$\times 10^{{{exponent}}}$", - transform=cbar.ax.transAxes, - fontsize=rjx_colorbar_tick_fontsize, - verticalalignment="bottom", - horizontalalignment="left", - ) - elif rjx_colorbar_direction == "horizontal": - if horizontal_center: - cax = fig.add_axes([0.44, 0.5, 0.15, 0.01]) - else: - cax = fig.add_axes([0.44, 0.05, 0.15, 0.01]) - cbar = fig.colorbar(sm, cax=cax, orientation="horizontal", cmap=cmap) - cbar.outline.set_visible(rjx_colorbar_outline) - cbar.ax.set_title( - rjx_colorbar_label_name, fontsize=rjx_colorbar_label_fontsize - ) - cbar.ax.tick_params( - axis="x", - which="major", - labelsize=rjx_colorbar_tick_fontsize, - rotation=rjx_colorbar_tick_rotation, - length=rjx_colorbar_tick_length, - ) - if vmax < 0.001 or vmax > 1000: # y轴设置科学计数法 - cbar.ax.xaxis.set_major_formatter(formatter) - cbar.set_ticks(np.linspace(vmin, vmax, rjx_colorbar_nticks)) - ########################################### rjx_colorbar ############################################### - return fig - return lh_parc, rh_parc - - -def plot_human_hemi_brain_figure( - data: dict[str, float], - hemi: str = "lh", - surf: str = "veryinflated", - atlas: str = "glasser", - vmin: Num | None = None, - vmax: Num | None = None, - cmap: str = "Reds", - colorbar: bool = True, - colorbar_location: str = "right", - colorbar_label_name: str = "", - colorbar_label_rotation: int = 0, - colorbar_decimals: int = 1, - colorbar_fontsize: int = 8, - colorbar_nticks: int = 2, - colorbar_shrink: float = 0.15, - colorbar_aspect: int = 8, - colorbar_draw_border: bool = False, - title_name: str = "", - title_fontsize: int = 15, - title_y: float = 0.9, -) -> plt.Figure | None: - warnings.warn( - "plot_human_hemi_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。", - DeprecationWarning, - stacklevel=2 - ) - """ - 绘制人类大脑单侧（左脑或右脑）表面图，支持 Glasser 和 BNA 图谱。 - - Args: - data (dict[str, float]): 包含 ROI 名称及其对应值的字典。 - hemi (str, optional): 脑半球选择，支持 "lh"（左脑）或 "rh"（右脑）。默认为 "lh"。 - surf (str, optional): 大脑表面类型（如 "veryinflated", "inflated"）。默认为 "veryinflated"。 - atlas (str, optional): 使用的图谱名称，支持 "glasser" 或 "bna"。默认为 "glasser"。 - vmin (Num, optional): 颜色映射的最小值。可以是整数或浮点数。默认为 None。 - vmax (Num, optional): 颜色映射的最大值。可以是整数或浮点数。默认为 None。 - cmap (str, optional): 颜色映射方案。默认为 "Reds"。 - colorbar (bool, optional): 是否显示颜色条。默认为 True。 - colorbar_location (str, optional): 颜色条的位置。默认为 "right"。 - colorbar_label_name (str, optional): 颜色条的标签名称。默认为空字符串。 - colorbar_label_rotation (int, optional): 颜色条标签的旋转角度。默认为 0。 - colorbar_decimals (int, optional): 颜色条刻度的小数位数。默认为 1。 - colorbar_fontsize (int, optional): 颜色条标签的字体大小。默认为 8。 - colorbar_nticks (int, optional): 颜色条上的刻度数量。默认为 2。 - colorbar_shrink (float, optional): 颜色条的缩放比例。默认为 0.15。 - colorbar_aspect (int, optional): 颜色条的宽高比。默认为 8。 - colorbar_draw_border (bool, optional): 是否绘制颜色条边框。默认为 False。 - title_name (str, optional): 图形标题。默认为空字符串。 - title_fontsize (int, optional): 标题字体大小。默认为 15。 - title_y (float, optional): 标题在 y 轴上的位置（范围通常为 0~1）。默认为 0.9。 - - Returns: - plt.Figure: 返回一个 matplotlib 的 Figure 对象，表示生成的大脑表面图。 - """ - - # 设置必要文件路径 - current_dir = op.dirname(__file__) - neuromaps_data_dir = op.join(current_dir, "data/neurodata") - if atlas == "glasser": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_Glasser/fsaverage.L.Glasser.32k_fs_LR.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_Glasser/fsaverage.R.Glasser.32k_fs_LR.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "human_glasser.csv")) - elif atlas == "bna": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_BNA/fsaverage.L.BNA.32k_fs_LR.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/human_BNA/fsaverage.R.BNA.32k_fs_LR.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "human_bna.csv")) - # 获取文件Underlay - - lh = op.join( - neuromaps_data_dir, - f"surfaces/human_fsLR/tpl-fsLR_den-32k_hemi-L_{surf}.surf.gii", - ) - rh = op.join( - neuromaps_data_dir, - f"surfaces/human_fsLR/tpl-fsLR_den-32k_hemi-R_{surf}.surf.gii", - ) - if hemi == "lh": - p = Plot(lh, size=(800, 400), zoom=1.2) - elif hemi == "rh": - p = Plot(rh, size=(800, 400), zoom=1.2) - # 将原始数据拆分成左右脑数据 - lh_data, rh_data = {}, {} - for roi in data: - if "lh_" in roi: - lh_data[roi] = data[roi] - elif "rh_" in roi: - rh_data[roi] = data[roi] - # 加载图集分区数据 - lh_roi_list, rh_roi_list = ( - list(df["ROIs_name"])[0 : int(len(df["ROIs_name"]) / 2)], - list(df["ROIs_name"])[int(len(df["ROIs_name"]) / 2) : len(df["ROIs_name"])], - ) - # 处理左脑数据 - lh_parc = nib.load(lh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in lh_roi_list} - for vertex_index, label in enumerate(lh_parc): - if label - 1 >= 0: - roi_vertics[lh_roi_list[label - 1]].append(vertex_index) - lh_parc = np.full(lh_parc.shape, np.nan) - for roi in lh_data: - lh_parc[roi_vertics[roi]] = lh_data[roi] - # 处理右脑数据 - rh_parc = nib.load(rh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in rh_roi_list} - for vertex_index, label in enumerate(rh_parc): - if label - 1 - len(lh_roi_list) >= 0: - roi_vertics[rh_roi_list[label - 1 - len(lh_roi_list)]].append(vertex_index) - rh_parc = np.full(rh_parc.shape, np.nan) - for roi in rh_data: - rh_parc[roi_vertics[roi]] = rh_data[roi] - # 画图元素参数设置 - if vmin is None: - vmin = min(data.values()) - if vmax is None: - vmax = max(data.values()) - if vmin > vmax: - print("vmin必须小于等于vmax") - return - if vmin == vmax: - vmin = min(0, vmin) - vmax = max(0, vmax) - # colorbar参数设置 - colorbar_kws = { - "location": colorbar_location, - "label_direction": colorbar_label_rotation, - "decimals": colorbar_decimals, - "fontsize": colorbar_fontsize, - "n_ticks": colorbar_nticks, - "shrink": colorbar_shrink, - "aspect": colorbar_aspect, - "draw_border": colorbar_draw_border, - } - if hemi == "lh": - p.add_layer( - {"left": lh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) - elif hemi == "rh": - p.add_layer( - {"left": rh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) # 很怪，但是这里就是写“{'left': rh_parc}” - fig = p.build(cbar_kws=colorbar_kws) - fig.suptitle(title_name, fontsize=title_fontsize, y=title_y) - return fig - - -def plot_macaque_brain_figure( - data: dict[str, float], - surf: str = "veryinflated", - atlas: str = "charm5", - vmin: Num | None = None, - vmax: Num | None = None, - plot: bool = True, - cmap: str = "Reds", - colorbar: bool = True, - colorbar_location: str = "right", - colorbar_label_name: str = "", - colorbar_label_rotation: int = 0, - colorbar_decimals: int = 1, - colorbar_fontsize: int = 8, - colorbar_nticks: int = 2, - colorbar_shrink: float = 0.15, - colorbar_aspect: int = 8, - colorbar_draw_border: bool = False, - title_name: str = "", - title_fontsize: int = 15, - title_y: float = 0.9, - rjx_colorbar: bool = False, - rjx_colorbar_direction: str = "vertical", - horizontal_center: bool = True, - rjx_colorbar_outline: bool = False, - rjx_colorbar_label_name: str = "", - rjx_colorbar_tick_fontsize: int = 10, - rjx_colorbar_label_fontsize: int = 10, - rjx_colorbar_tick_rotation: int = 0, - rjx_colorbar_tick_length: int = 0, - rjx_colorbar_nticks: int = 2, -) -> plt.Figure | tuple[np.ndarray, np.ndarray]: - """ - 绘制猕猴大脑表面图，支持多种图谱（CHARM5、CHARM6、BNA、D99）。 - - Args: - data (dict[str, float]): 包含 ROI 名称及其对应值的字典。 - surf (str, optional): 大脑表面类型（如 "veryinflated", "inflated"）。默认为 "veryinflated"。 - atlas (str, optional): 使用的图谱名称，支持 "charm5", "charm6", "bna", "d99"。默认为 "charm5"。 - vmin (Num, optional): 颜色映射的最小值。可以是整数或浮点数。默认为 None。 - vmax (Num, optional): 颜色映射的最大值。可以是整数或浮点数。默认为 None。 - plot (bool, optional): 是否直接绘制图形。默认为 True。 - cmap (str, optional): 颜色映射方案。默认为 "Reds"。 - colorbar (bool, optional): 是否显示颜色条。默认为 True。 - colorbar_location (str, optional): 颜色条的位置。默认为 "right"。 - colorbar_label_name (str, optional): 颜色条的标签名称。默认为空字符串。 - colorbar_label_rotation (int, optional): 颜色条标签的旋转角度。默认为 0。 - colorbar_decimals (int, optional): 颜色条刻度的小数位数。默认为 1。 - colorbar_fontsize (int, optional): 颜色条标签的字体大小。默认为 8。 - colorbar_nticks (int, optional): 颜色条上的刻度数量。默认为 2。 - colorbar_shrink (float, optional): 颜色条的缩放比例。默认为 0.15。 - colorbar_aspect (int, optional): 颜色条的宽高比。默认为 8。 - colorbar_draw_border (bool, optional): 是否绘制颜色条边框。默认为 False。 - title_name (str, optional): 图形标题。默认为空字符串。 - title_fontsize (int, optional): 标题字体大小。默认为 15。 - title_y (float, optional): 标题在 y 轴上的位置（范围通常为 0~1）。默认为 0.9。 - rjx_colorbar (bool, optional): 是否使用自定义颜色条。默认为 False。 - rjx_colorbar_direction (str, optional): 自定义颜色条方向，支持 "vertical" 或 "horizontal"。默认为 "vertical"。 - horizontal_center (bool, optional): 水平颜色条是否居中。默认为 True。 - rjx_colorbar_outline (bool, optional): 自定义颜色条是否显示边框。默认为 False。 - rjx_colorbar_label_name (str, optional): 自定义颜色条标签名称。默认为空字符串。 - rjx_colorbar_tick_fontsize (int, optional): 自定义颜色条刻度字体大小。默认为 10。 - rjx_colorbar_label_fontsize (int, optional): 自定义颜色条标签字体大小。默认为 10。 - rjx_colorbar_tick_rotation (int, optional): 自定义颜色条刻度标签旋转角度。默认为 0。 - rjx_colorbar_tick_length (int, optional): 自定义颜色条刻度长度。默认为 0。 - rjx_colorbar_nticks (int, optional): 自定义颜色条上的刻度数量。默认为 2。 - - Returns: - Union[plt.Figure, tuple[np.ndarray, np.ndarray]]: 如果 `plot=True`，返回 matplotlib 的 Figure 对象； - 否则返回左右脑数据数组的元组 `(lh_parc, rh_parc)`。 - """ - # 设置必要文件路径 - current_dir = op.dirname(__file__) - neuromaps_data_dir = op.join(current_dir, "data/neurodata") - if atlas == "charm5": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM5/L.charm5.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM5/R.charm5.label.gii", - ) - df = pd.read_csv( - op.join(current_dir, "data/atlas_tables", "macaque_charm5.csv") - ) - elif atlas == "charm6": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM6/L.charm6.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM6/R.charm6.label.gii", - ) - df = pd.read_csv( - op.join(current_dir, "data/atlas_tables", "macaque_charm6.csv") - ) - elif atlas == "bna": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_BNA/L.charm5.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_BNA/R.charm5.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "macaque_bna.csv")) - elif atlas == "d99": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_D99/L.d99.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_D99/R.d99.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "macaque_d99.csv")) - # 获取文件Underlay - lh = op.join( - neuromaps_data_dir, f"surfaces/macaque_BNA/civm.L.{surf}.32k_fs_LR.surf.gii" - ) - rh = op.join( - neuromaps_data_dir, f"surfaces/macaque_BNA/civm.R.{surf}.32k_fs_LR.surf.gii" - ) - p = Plot(lh, rh) - # 将原始数据拆分成左右脑数据 - lh_data, rh_data = {}, {} - for roi in data: - if "lh_" in roi: - lh_data[roi] = data[roi] - elif "rh_" in roi: - rh_data[roi] = data[roi] - # 加载图集分区数据 - lh_roi_list, rh_roi_list = ( - list(df["ROIs_name"])[0 : int(len(df["ROIs_name"]) / 2)], - list(df["ROIs_name"])[int(len(df["ROIs_name"]) / 2) : len(df["ROIs_name"])], - ) - # 处理左脑数据 - lh_parc = nib.load(lh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in lh_roi_list} - for vertex_index, label in enumerate(lh_parc): - if label - 1 >= 0: - roi_vertics[lh_roi_list[label - 1]].append(vertex_index) - lh_parc = np.full(lh_parc.shape, np.nan) - for roi in lh_data: - lh_parc[roi_vertics[roi]] = lh_data[roi] - # 处理右脑数据 - rh_parc = nib.load(rh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in rh_roi_list} - for vertex_index, label in enumerate(rh_parc): - if label - 1 - len(lh_roi_list) >= 0: - roi_vertics[rh_roi_list[label - 1 - len(lh_roi_list)]].append(vertex_index) - rh_parc = np.full(rh_parc.shape, np.nan) - for roi in rh_data: - rh_parc[roi_vertics[roi]] = rh_data[roi] - # 画图 - if plot: - # 画图元素参数设置 - if vmin is None: - vmin = min(data.values()) - if vmax is None: - vmax = max(data.values()) - if vmin > vmax: - print("vmin必须小于等于vmax") - return - if vmin == vmax: - vmin = min(0, vmin) - vmax = max(0, vmax) - # colorbar参数设置 - colorbar_kws = { - "location": colorbar_location, - "label_direction": colorbar_label_rotation, - "decimals": colorbar_decimals, - "fontsize": colorbar_fontsize, - "n_ticks": colorbar_nticks, - "shrink": colorbar_shrink, - "aspect": colorbar_aspect, - "draw_border": colorbar_draw_border, - } - p.add_layer( - {"left": lh_parc, "right": rh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) - fig = p.build(cbar_kws=colorbar_kws) - fig.suptitle(title_name, fontsize=title_fontsize, y=title_y) - ############################################### rjx_colorbar ############################################### - sm = ScalarMappable(cmap=cmap) - sm.set_array((vmin, vmax)) # 设置值范围 - if rjx_colorbar: - formatter = ScalarFormatter(useMathText=True) # 科学计数法相关 - formatter.set_powerlimits( - (-3, 3) - ) # <=-1也就是小于等于0.1，>=2，也就是大于等于100，会写成科学计数法 - if rjx_colorbar_direction == "vertical": - cax = fig.add_axes( - [1, 0.425, 0.01, 0.15] - ) # [left, bottom, width, height] - cbar = fig.colorbar( - sm, cax=cax, orientation="vertical", cmap=cmap - ) # "vertical", "horizontal" - cbar.outline.set_visible(rjx_colorbar_outline) - cbar.ax.set_ylabel( - rjx_colorbar_label_name, fontsize=rjx_colorbar_label_fontsize - ) - cbar.ax.yaxis.set_label_position( - "left" - ) # 原本设置y轴label默认在右边，现在换到左边 - cbar.ax.tick_params( - axis="y", - which="major", - labelsize=rjx_colorbar_tick_fontsize, - rotation=rjx_colorbar_tick_rotation, - length=rjx_colorbar_tick_length, - ) - cbar.set_ticks(np.linspace(vmin, vmax, rjx_colorbar_nticks)) - if vmax < 0.001 or vmax > 1000: # y轴设置科学计数法 - cbar.ax.yaxis.set_major_formatter(formatter) - cbar.ax.yaxis.get_offset_text().set_visible( - False - ) # 隐藏默认的偏移文本 - exponent = math.floor(math.log10(vmax)) - # 手动添加文本 - cbar.ax.text( - 1.05, - 1.15, - rf"$\times 10^{{{exponent}}}$", - transform=cbar.ax.transAxes, - fontsize=rjx_colorbar_tick_fontsize, - verticalalignment="bottom", - horizontalalignment="left", - ) - elif rjx_colorbar_direction == "horizontal": - if horizontal_center: - cax = fig.add_axes([0.44, 0.5, 0.15, 0.01]) - else: - cax = fig.add_axes([0.44, 0.05, 0.15, 0.01]) - cbar = fig.colorbar(sm, cax=cax, orientation="horizontal", cmap=cmap) - cbar.outline.set_visible(rjx_colorbar_outline) - cbar.ax.set_title( - rjx_colorbar_label_name, fontsize=rjx_colorbar_label_fontsize - ) - cbar.ax.tick_params( - axis="x", - which="major", - labelsize=rjx_colorbar_tick_fontsize, - rotation=rjx_colorbar_tick_rotation, - length=rjx_colorbar_tick_length, - ) - if vmax < 0.001 or vmax > 1000: # y轴设置科学计数法 - cbar.ax.xaxis.set_major_formatter(formatter) - cbar.set_ticks([vmin, vmax]) - ########################################### rjx_colorbar ############################################### - return fig - return lh_parc, rh_parc - - -def plot_macaque_hemi_brain_figure( - data: dict[str, float], - hemi: str = "lh", - surf: str = "veryinflated", - atlas: str = "charm5", - vmin: Num | None = None, - vmax: Num | None = None, - cmap: str = "Reds", - colorbar: bool = True, - colorbar_location: str = "right", - colorbar_label_name: str = "", - colorbar_label_rotation: int = 0, - colorbar_decimals: int = 1, - colorbar_fontsize: int = 8, - colorbar_nticks: int = 2, - colorbar_shrink: float = 0.15, - colorbar_aspect: int = 8, - colorbar_draw_border: bool = False, - title_name: str = "", - title_fontsize: int = 15, - title_y: float = 0.9, -) -> plt.Figure | None: - warnings.warn( - "plot_macaque_hemi_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。", - DeprecationWarning, - stacklevel=2 - ) - """ - 绘制猕猴大脑单侧（左脑或右脑）表面图，支持多种图谱（CHARM5、CHARM6、BNA、D99）。 - - Args: - data (dict[str, float]): 包含 ROI 名称及其对应值的字典。 - hemi (str, optional): 脑半球选择，支持 "lh"（左脑）或 "rh"（右脑）。默认为 "lh"。 - surf (str, optional): 大脑表面类型（如 "veryinflated", "inflated"）。默认为 "veryinflated"。 - atlas (str, optional): 使用的图谱名称，支持 "charm5", "charm6", "bna", "d99"。默认为 "charm5"。 - vmin (Num, optional): 颜色映射的最小值。可以是整数或浮点数。默认为 None。 - vmax (Num, optional): 颜色映射的最大值。可以是整数或浮点数。默认为 None。 - cmap (str, optional): 颜色映射方案。默认为 "Reds"。 - colorbar (bool, optional): 是否显示颜色条。默认为 True。 - colorbar_location (str, optional): 颜色条的位置。默认为 "right"。 - colorbar_label_name (str, optional): 颜色条的标签名称。默认为空字符串。 - colorbar_label_rotation (int, optional): 颜色条标签的旋转角度。默认为 0。 - colorbar_decimals (int, optional): 颜色条刻度的小数位数。默认为 1。 - colorbar_fontsize (int, optional): 颜色条标签的字体大小。默认为 8。 - colorbar_nticks (int, optional): 颜色条上的刻度数量。默认为 2。 - colorbar_shrink (float, optional): 颜色条的缩放比例。默认为 0.15。 - colorbar_aspect (int, optional): 颜色条的宽高比。默认为 8。 - colorbar_draw_border (bool, optional): 是否绘制颜色条边框。默认为 False。 - title_name (str, optional): 图形标题。默认为空字符串。 - title_fontsize (int, optional): 标题字体大小。默认为 15。 - title_y (float, optional): 标题在 y 轴上的位置（范围通常为 0~1）。默认为 0.9。 - - Returns: - plt.Figure: 返回一个 matplotlib 的 Figure 对象，表示生成的大脑表面图。 - """ - - # 设置必要文件路径 - current_dir = op.dirname(__file__) - neuromaps_data_dir = op.join(current_dir, "data/neurodata") - if atlas == "charm5": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM5/L.charm5.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM5/R.charm5.label.gii", - ) - df = pd.read_csv( - op.join(current_dir, "data/atlas_tables", "macaque_charm5.csv") - ) - elif atlas == "charm6": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM6/L.charm6.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_CHARM6/R.charm6.label.gii", - ) - df = pd.read_csv( - op.join(current_dir, "data/atlas_tables", "macaque_charm6.csv") - ) - elif atlas == "bna": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_BNA/L.charm5.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_BNA/R.charm5.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "macaque_bna.csv")) - elif atlas == "d99": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_D99/L.d99.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/macaque_D99/R.d99.label.gii", - ) - df = pd.read_csv(op.join(current_dir, "data/atlas_tables", "macaque_d99.csv")) - # 获取文件Underlay - lh = op.join( - neuromaps_data_dir, f"surfaces/macaque_BNA/civm.L.{surf}.32k_fs_LR.surf.gii" - ) - rh = op.join( - neuromaps_data_dir, f"surfaces/macaque_BNA/civm.R.{surf}.32k_fs_LR.surf.gii" - ) - if hemi == "lh": - p = Plot(lh, size=(800, 400), zoom=1.2) - elif hemi == "rh": - p = Plot(rh, size=(800, 400), zoom=1.2) - # 将原始数据拆分成左右脑数据 - lh_data, rh_data = {}, {} - for roi in data: - if "lh_" in roi: - lh_data[roi] = data[roi] - elif "rh_" in roi: - rh_data[roi] = data[roi] - # 加载分区数据 - lh_roi_list, rh_roi_list = ( - list(df["ROIs_name"])[0 : int(len(df["ROIs_name"]) / 2)], - list(df["ROIs_name"])[int(len(df["ROIs_name"]) / 2) : len(df["ROIs_name"])], - ) - # 处理左脑数据 - lh_parc = nib.load(lh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in lh_roi_list} - for vertex_index, label in enumerate(lh_parc): - if label - 1 >= 0: - roi_vertics[lh_roi_list[label - 1]].append(vertex_index) - lh_parc = np.full(lh_parc.shape, np.nan) - for roi in lh_data: - lh_parc[roi_vertics[roi]] = lh_data[roi] - # 处理右脑数据 - rh_parc = nib.load(rh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in rh_roi_list} - for vertex_index, label in enumerate(rh_parc): - if label - len(lh_roi_list) - 1 >= 0: - roi_vertics[rh_roi_list[label - len(lh_roi_list) - 1]].append(vertex_index) - rh_parc = np.full(rh_parc.shape, np.nan) - for roi in rh_data: - rh_parc[roi_vertics[roi]] = rh_data[roi] - # 画图元素参数设置 - if vmin is None: - vmin = min(data.values()) - if vmax is None: - vmax = max(data.values()) - if vmin > vmax: - print("vmin必须小于等于vmax") - return - if vmin == vmax: - vmin = min(0, vmin) - vmax = max(0, vmax) - # colorbar参数设置 - colorbar_kws = { - "location": colorbar_location, - "label_direction": colorbar_label_rotation, - "decimals": colorbar_decimals, - "fontsize": colorbar_fontsize, - "n_ticks": colorbar_nticks, - "shrink": colorbar_shrink, - "aspect": colorbar_aspect, - "draw_border": colorbar_draw_border, - } - if hemi == "lh": - p.add_layer( - {"left": lh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) - else: - p.add_layer( - {"left": rh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) # 很怪，但是这里就是写“{'left': rh_parc}” - fig = p.build(cbar_kws=colorbar_kws) - fig.suptitle(title_name, fontsize=title_fontsize, y=title_y) - return fig - - -def plot_chimpanzee_brain_figure( - data: dict[str, float], - surf: str = "veryinflated", - atlas: str = "bna", - vmin: Num | None = None, - vmax: Num | None = None, - plot: bool = True, - cmap: str = "Reds", - colorbar: bool = True, - colorbar_location: str = "right", - colorbar_label_name: str = "", - colorbar_label_rotation: int = 0, - colorbar_decimals: int = 1, - colorbar_fontsize: int = 8, - colorbar_nticks: int = 2, - colorbar_shrink: float = 0.15, - colorbar_aspect: int = 8, - colorbar_draw_border: bool = False, - title_name: str = "", - title_fontsize: int = 15, - title_y: float = 0.9, - rjx_colorbar: bool = False, - rjx_colorbar_direction: str = "vertical", - horizontal_center: bool = True, - rjx_colorbar_outline: bool = False, - rjx_colorbar_label_name: str = "", - rjx_colorbar_tick_fontsize: int = 10, - rjx_colorbar_label_fontsize: int = 10, - rjx_colorbar_tick_rotation: int = 0, - rjx_colorbar_tick_length: int = 0, - rjx_colorbar_nticks: int = 2, -) -> plt.Figure | tuple[np.ndarray, np.ndarray]: - warnings.warn( - "plot_chimpanzee_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。", - DeprecationWarning, - stacklevel=2 - ) - """ - 绘制黑猩猩大脑表面图，支持 BNA 图谱。 - - Args: - data (dict[str, float]): 包含 ROI 名称及其对应值的字典。 - surf (str, optional): 大脑表面类型（如 "veryinflated", "midthickness"）。默认为 "veryinflated"。 - atlas (str, optional): 使用的图谱名称，目前仅支持 "bna"。默认为 "bna"。 - vmin (Num, optional): 颜色映射的最小值。可以是整数或浮点数。默认为 None。 - vmax (Num, optional): 颜色映射的最大值。可以是整数或浮点数。默认为 None。 - plot (bool, optional): 是否直接绘制图形。默认为 True。 - cmap (str, optional): 颜色映射方案。默认为 "Reds"。 - colorbar (bool, optional): 是否显示颜色条。默认为 True。 - colorbar_location (str, optional): 颜色条的位置。默认为 "right"。 - colorbar_label_name (str, optional): 颜色条的标签名称。默认为空字符串。 - colorbar_label_rotation (int, optional): 颜色条标签的旋转角度。默认为 0。 - colorbar_decimals (int, optional): 颜色条刻度的小数位数。默认为 1。 - colorbar_fontsize (int, optional): 颜色条标签的字体大小。默认为 8。 - colorbar_nticks (int, optional): 颜色条上的刻度数量。默认为 2。 - colorbar_shrink (float, optional): 颜色条的缩放比例。默认为 0.15。 - colorbar_aspect (int, optional): 颜色条的宽高比。默认为 8。 - colorbar_draw_border (bool, optional): 是否绘制颜色条边框。默认为 False。 - title_name (str, optional): 图形标题。默认为空字符串。 - title_fontsize (int, optional): 标题字体大小。默认为 15。 - title_y (float, optional): 标题在 y 轴上的位置（范围通常为 0~1）。默认为 0.9。 - rjx_colorbar (bool, optional): 是否使用自定义颜色条。默认为 False。 - rjx_colorbar_direction (str, optional): 自定义颜色条方向，支持 "vertical" 或 "horizontal"。默认为 "vertical"。 - horizontal_center (bool, optional): 水平颜色条是否居中。默认为 True。 - rjx_colorbar_outline (bool, optional): 自定义颜色条是否显示边框。默认为 False。 - rjx_colorbar_label_name (str, optional): 自定义颜色条标签名称。默认为空字符串。 - rjx_colorbar_tick_fontsize (int, optional): 自定义颜色条刻度字体大小。默认为 10。 - rjx_colorbar_label_fontsize (int, optional): 自定义颜色条标签字体大小。默认为 10。 - rjx_colorbar_tick_rotation (int, optional): 自定义颜色条刻度标签旋转角度。默认为 0。 - rjx_colorbar_tick_length (int, optional): 自定义颜色条刻度长度。默认为 0。 - rjx_colorbar_nticks (int, optional): 自定义颜色条上的刻度数量。默认为 2。 - - Returns: - Union[plt.Figure, tuple[np.ndarray, np.ndarray]]: 如果 `plot=True`，返回 matplotlib 的 Figure 对象； - 否则返回左右脑数据数组的元组 `(lh_parc, rh_parc)`。 - """ - - # 设置必要文件路径 - current_dir = op.dirname(__file__) - neuromaps_data_dir = op.join(current_dir, "data/neurodata") - if atlas == "bna": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/chimpanzee_BNA/ChimpBNA.L.32k_fs_LR.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/chimpanzee_BNA/ChimpBNA.R.32k_fs_LR.label.gii", - ) - df = pd.read_csv( - op.join(current_dir, "data/atlas_tables", "chimpanzee_bna.csv") - ) - # 获取文件Underlay - lh = op.join( - neuromaps_data_dir, - f"surfaces/chimpanzee_BNA/ChimpYerkes29_v1.2.L.{surf}.32k_fs_LR.surf.gii", - ) - rh = op.join( - neuromaps_data_dir, - f"surfaces/chimpanzee_BNA/ChimpYerkes29_v1.2.R.{surf}.32k_fs_LR.surf.gii", - ) - p = Plot(lh, rh) - # 将原始数据拆分成左右脑数据 - lh_data, rh_data = {}, {} - for roi in data: - if "lh_" in roi: - lh_data[roi] = data[roi] - elif "rh_" in roi: - rh_data[roi] = data[roi] - # 加载图集分区数据 - lh_roi_list, rh_roi_list = ( - list(df["ROIs_name"])[0 : int(len(df["ROIs_name"]) / 2)], - list(df["ROIs_name"])[int(len(df["ROIs_name"]) / 2) : len(df["ROIs_name"])], - ) - # 处理左脑数据 - lh_parc = nib.load(lh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in lh_roi_list} - for vertex_index, label in enumerate(lh_parc): - if label - 1 >= 0: - roi_vertics[lh_roi_list[label - 1]].append(vertex_index) - lh_parc = np.full(lh_parc.shape, np.nan) - for roi in lh_data: - lh_parc[roi_vertics[roi]] = lh_data[roi] - # 处理右脑数据 - rh_parc = nib.load(rh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in rh_roi_list} - for vertex_index, label in enumerate(rh_parc): - if label - 1 - len(lh_roi_list) >= 0: - roi_vertics[rh_roi_list[label - 1 - len(lh_roi_list)]].append(vertex_index) - rh_parc = np.full(rh_parc.shape, np.nan) - for roi in rh_data: - rh_parc[roi_vertics[roi]] = rh_data[roi] - # 画图 - if plot: - # 画图元素参数设置 - if vmin is None: - vmin = min(data.values()) - if vmax is None: - vmax = max(data.values()) - if vmin > vmax: - print("vmin必须小于等于vmax") - return - if vmin == vmax: - vmin = min(0, vmin) - vmax = max(0, vmax) - # colorbar参数设置 - colorbar_kws = { - "location": colorbar_location, - "label_direction": colorbar_label_rotation, - "decimals": colorbar_decimals, - "fontsize": colorbar_fontsize, - "n_ticks": colorbar_nticks, - "shrink": colorbar_shrink, - "aspect": colorbar_aspect, - "draw_border": colorbar_draw_border, - } - p.add_layer( - {"left": lh_parc, "right": rh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) - fig = p.build(cbar_kws=colorbar_kws) - fig.suptitle(title_name, fontsize=title_fontsize, y=title_y) - ############################################### rjx_colorbar ############################################### - sm = ScalarMappable(cmap=cmap) - sm.set_array((vmin, vmax)) # 设置值范围 - if rjx_colorbar: - formatter = ScalarFormatter(useMathText=True) # 科学计数法相关 - formatter.set_powerlimits( - (-3, 3) - ) # <=-1也就是小于等于0.1，>=2，也就是大于等于100，会写成科学计数法 - if rjx_colorbar_direction == "vertical": - cax = fig.add_axes( - [1, 0.425, 0.01, 0.15] - ) # [left, bottom, width, height] - cbar = fig.colorbar( - sm, cax=cax, orientation="vertical", cmap=cmap - ) # "vertical", "horizontal" - cbar.outline.set_visible(rjx_colorbar_outline) - cbar.ax.set_ylabel( - rjx_colorbar_label_name, fontsize=rjx_colorbar_label_fontsize - ) - cbar.ax.yaxis.set_label_position( - "left" - ) # 原本设置y轴label默认在右边，现在换到左边 - cbar.ax.tick_params( - axis="y", - which="major", - labelsize=rjx_colorbar_tick_fontsize, - rotation=rjx_colorbar_tick_rotation, - length=rjx_colorbar_tick_length, - ) - cbar.set_ticks(np.linspace(vmin, vmax, rjx_colorbar_nticks)) - if vmax < 0.001 or vmax > 1000: # y轴设置科学计数法 - cbar.ax.yaxis.set_major_formatter(formatter) - cbar.ax.yaxis.get_offset_text().set_visible( - False - ) # 隐藏默认的偏移文本 - exponent = math.floor(math.log10(vmax)) - # 手动添加文本 - cbar.ax.text( - 1.05, - 1.15, - rf"$\times 10^{{{exponent}}}$", - transform=cbar.ax.transAxes, - fontsize=rjx_colorbar_tick_fontsize, - verticalalignment="bottom", - horizontalalignment="left", - ) - elif rjx_colorbar_direction == "horizontal": - if horizontal_center: - cax = fig.add_axes([0.44, 0.5, 0.15, 0.01]) - else: - cax = fig.add_axes([0.44, 0.05, 0.15, 0.01]) - cbar = fig.colorbar(sm, cax=cax, orientation="horizontal", cmap=cmap) - cbar.outline.set_visible(rjx_colorbar_outline) - cbar.ax.set_title( - rjx_colorbar_label_name, fontsize=rjx_colorbar_label_fontsize - ) - cbar.ax.tick_params( - axis="x", - which="major", - labelsize=rjx_colorbar_tick_fontsize, - rotation=rjx_colorbar_tick_rotation, - length=rjx_colorbar_tick_length, - ) - if vmax < 0.001 or vmax > 1000: # y轴设置科学计数法 - cbar.ax.xaxis.set_major_formatter(formatter) - cbar.set_ticks([vmin, vmax]) - ########################################### rjx_colorbar ############################################### - return fig - return lh_parc, rh_parc - - -def plot_chimpanzee_hemi_brain_figure( - data: dict[str, float], - hemi: str = "lh", - surf: str = "veryinflated", - atlas: str = "bna", - vmin: Num | None = None, - vmax: Num | None = None, - cmap: str = "Reds", - colorbar: bool = True, - colorbar_location: str = "right", - colorbar_label_name: str = "", - colorbar_label_rotation: int = 0, - colorbar_decimals: int = 1, - colorbar_fontsize: int = 8, - colorbar_nticks: int = 2, - colorbar_shrink: float = 0.15, - colorbar_aspect: int = 8, - colorbar_draw_border: bool = False, - title_name: str = "", - title_fontsize: int = 15, - title_y: float = 0.9, -) -> plt.Figure: - warnings.warn( - "plot_chimpanzee_hemi_brain_figure 即将弃用，请使用 plot_brain_surface_figure 替代。未来版本将移除本函数。", - DeprecationWarning, - stacklevel=2 - ) - """ - 绘制黑猩猩大脑单侧（左脑或右脑）表面图，支持 BNA 图谱。 - - Args: - data (dict[str, float]): 包含 ROI 名称及其对应值的字典。 - hemi (str, optional): 脑半球选择，支持 "lh"（左脑）或 "rh"（右脑）。默认为 "lh"。 - surf (str, optional): 大脑表面类型（如 "veryinflated", "midthickness"）。默认为 "veryinflated"。 - atlas (str, optional): 使用的图谱名称，目前仅支持 "bna"。默认为 "bna"。 - vmin (Num, optional): 颜色映射的最小值。可以是整数或浮点数。默认为 None。 - vmax (Num, optional): 颜色映射的最大值。可以是整数或浮点数。默认为 None。 - cmap (str, optional): 颜色映射方案。默认为 "Reds"。 - colorbar (bool, optional): 是否显示颜色条。默认为 True。 - colorbar_location (str, optional): 颜色条的位置。默认为 "right"。 - colorbar_label_name (str, optional): 颜色条的标签名称。默认为空字符串。 - colorbar_label_rotation (int, optional): 颜色条标签的旋转角度。默认为 0。 - colorbar_decimals (int, optional): 颜色条刻度的小数位数。默认为 1。 - colorbar_fontsize (int, optional): 颜色条标签的字体大小。默认为 8。 - colorbar_nticks (int, optional): 颜色条上的刻度数量。默认为 2。 - colorbar_shrink (float, optional): 颜色条的缩放比例。默认为 0.15。 - colorbar_aspect (int, optional): 颜色条的宽高比。默认为 8。 - colorbar_draw_border (bool, optional): 是否绘制颜色条边框。默认为 False。 - title_name (str, optional): 图形标题。默认为空字符串。 - title_fontsize (int, optional): 标题字体大小。默认为 15。 - title_y (float, optional): 标题在 y 轴上的位置（范围通常为 0~1）。默认为 0.9。 - - Returns: - plt.Figure: 返回一个 matplotlib 的 Figure 对象，表示生成的大脑表面图。 - """ - # 设置必要文件路径 - current_dir = op.dirname(__file__) - neuromaps_data_dir = op.join(current_dir, "data/neurodata") - if atlas == "bna": - lh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/chimpanzee_BNA/ChimpBNA.L.32k_fs_LR.label.gii", - ) - rh_atlas_dir = op.join( - neuromaps_data_dir, - "atlases/chimpanzee_BNA/ChimpBNA.R.32k_fs_LR.label.gii", - ) - df = pd.read_csv( - op.join(current_dir, "data/atlas_tables", "chimpanzee_bna.csv") - ) - # 获取文件Underlay - lh = op.join( - neuromaps_data_dir, - f"surfaces/chimpanzee_BNA/ChimpYerkes29_v1.2.L.{surf}.32k_fs_LR.surf.gii", - ) - rh = op.join( - neuromaps_data_dir, - f"surfaces/chimpanzee_BNA/ChimpYerkes29_v1.2.R.{surf}.32k_fs_LR.surf.gii", - ) - if hemi == "lh": - p = Plot(lh, size=(800, 400), zoom=1.2) - elif hemi == "rh": - p = Plot(rh, size=(800, 400), zoom=1.2) - # 将原始数据拆分成左右脑数据 - lh_data, rh_data = {}, {} - for roi in data: - if "lh_" in roi: - lh_data[roi] = data[roi] - elif "rh_" in roi: - rh_data[roi] = data[roi] - # 加载分区数据 - lh_roi_list, rh_roi_list = ( - list(df["ROIs_name"])[0 : int(len(df["ROIs_name"]) / 2)], - list(df["ROIs_name"])[int(len(df["ROIs_name"]) / 2) : len(df["ROIs_name"])], - ) - # 处理左脑数据 - lh_parc = nib.load(lh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in lh_roi_list} - for vertex_index, label in enumerate(lh_parc): - if label - 1 >= 0: - roi_vertics[lh_roi_list[label - 1]].append(vertex_index) - lh_parc = np.full(lh_parc.shape, np.nan) - for roi in lh_data: - lh_parc[roi_vertics[roi]] = lh_data[roi] - # 处理右脑数据 - rh_parc = nib.load(rh_atlas_dir).darrays[0].data - roi_vertics = {roi: [] for roi in rh_roi_list} - for vertex_index, label in enumerate(rh_parc): - if label - len(lh_roi_list) - 1 >= 0: - roi_vertics[rh_roi_list[label - len(lh_roi_list) - 1]].append(vertex_index) - rh_parc = np.full(rh_parc.shape, np.nan) - for roi in rh_data: - rh_parc[roi_vertics[roi]] = rh_data[roi] - # 画图元素参数设置 - if vmin is None: - vmin = min(data.values()) - if vmax is None: - vmax = max(data.values()) - if vmin > vmax: - print("vmin必须小于等于vmax") - return - if vmin == vmax: - vmin = min(0, vmin) - vmax = max(0, vmax) - # colorbar参数设置 - colorbar_kws = { - "location": colorbar_location, - "label_direction": colorbar_label_rotation, - "decimals": colorbar_decimals, - "fontsize": colorbar_fontsize, - "n_ticks": colorbar_nticks, - "shrink": colorbar_shrink, - "aspect": colorbar_aspect, - "draw_border": colorbar_draw_border, - } - if hemi == "lh": - p.add_layer( - {"left": lh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) - else: - p.add_layer( - {"left": rh_parc}, - cbar=colorbar, - cmap=cmap, - color_range=(vmin, vmax), - cbar_label=colorbar_label_name, - zero_transparent=False, - ) # 很怪，但是这里就是写“{'left': rh_parc}” - fig = p.build(cbar_kws=colorbar_kws) - fig.suptitle(title_name, fontsize=title_fontsize, y=title_y) - return fig diff --git a/src/plotfig/circos.py b/src/plotfig/circos.py index 9487383..780b839 100644 --- a/src/plotfig/circos.py +++ b/src/plotfig/circos.py @@ -1,287 +1,233 @@ +# 标准库 +from typing import Literal, Any + +# 第三方库 import numpy as np +from numpy.typing import NDArray +import matplotlib.colors as mcolors import matplotlib.pyplot as plt -import mne -from mne_connectivity.viz import plot_connectivity_circle +from matplotlib.figure import Figure +from matplotlib.projections.polar import PolarAxes +from pycirclize import Circos +from loguru import logger -import numpy.typing as npt -from typing import Tuple +# 项目内模块 +from plotfig.utils.matrix import ( + is_symmetric_square, +) +from plotfig.utils.color import ( + gen_hex_colors, + gen_cmap, + value_to_hex, +) -Num = int | float -__all__ = ["plot_symmetric_circle_figure", "plot_asymmetric_circle_figure"] +__all__ = ["plot_circos_figure"] -def plot_symmetric_circle_figure( - connectome: npt.NDArray, - labels: list[str] | None = None, - node_colors: list[str] | None = None, - vmin: Num | None = None, - vmax: Num | None = None, - figsize: Tuple[Num, Num] = (10, 10), - labels_fontsize: Num = 15, - face_color: str = "w", - nodeedge_color: str = "w", - text_color: str = "k", - cmap: str = "bwr", - linewidth: Num = 1, - title_name: str = "", - title_fontsize: Num = 20, - colorbar: bool = False, - colorbar_size: Num = 0.2, - colorbar_fontsize: Num = 10, - colorbar_pos: Tuple[Num, Num] = (0, 0), - manual_colorbar: bool = False, - manual_colorbar_pos: Tuple[Num, Num, Num, Num] = (1, 0.4, 0.01, 0.2), - manual_cmap: str = "bwr", - manual_colorbar_name: str = "", - manual_colorbar_label_fontsize: Num = 10, - manual_colorbar_fontsize: Num = 10, - manual_colorbar_rotation: Num = -90, - manual_colorbar_pad: Num = 20, - manual_colorbar_draw_border: bool = True, - manual_colorbar_tickline: bool = False, - manual_colorbar_nticks: bool = False, -) -> plt.Figure: - """绘制类circos连接图 +def _gen_node_name(connectome) -> list[str]: + node_names = [f"Node_{i + 1}" for i in range(connectome.shape[0])] + return node_names - Args: - connectome (npt.NDArray): 连接矩阵. - labels (list[str] | None, optional): 节点名称. Defaults to None. - node_colors (list[str] | None, optional): 节点颜色. Defaults to None. - vmin (Num | None, optional): 最小值. Defaults to None. - vmax (Num | None, optional): 最大值. Defaults to None. - figsize (Tuple[Num, Num], optional): 图大小. Defaults to (10, 10). - labels_fontsize (Num, optional): 节点名字大小. Defaults to 15. - face_color (str, optional): 图背景颜色. Defaults to "w". - nodeedge_color (str, optional): 节点轮廓颜色. Defaults to "w". - text_color (str, optional): 文本颜色. Defaults to "k". - cmap (str, optional): colorbar颜色. Defaults to "bwr". - linewidth (Num, optional): 连接线宽度. Defaults to 1. - title_name (str, optional): 图标题名称. Defaults to "". - title_fontsize (Num, optional): 图标题字体大小. Defaults to 20. - colorbar (bool, optional): 是否绘制colorbar. Defaults to False. - colorbar_size (Num, optional): colorbar大小. Defaults to 0.2. - colorbar_fontsize (Num, optional): colorbar字体大小. Defaults to 10. - colorbar_pos (Tuple[Num, Num], optional): colorbar位置. Defaults to (0, 0). - manual_colorbar (bool, optional): 高级colorbar. Defaults to False. - manual_colorbar_pos (Tuple[Num, Num, Num, Num], optional): 高级colorbar位置. Defaults to (1, 0.4, 0.01, 0.2). - manual_cmap (str, optional): 高级colorbar cmap. Defaults to "bwr". - manual_colorbar_name (str, optional): 高级colorbar名字. Defaults to "". - manual_colorbar_label_fontsize (Num, optional): 高级colorbar label字体大小. Defaults to 10. - manual_colorbar_fontsize (Num, optional): 高级colorbar字体大小. Defaults to 10. - manual_colorbar_rotation (Num, optional): 高级colorbar旋转. Defaults to -90. - manual_colorbar_pad (Num, optional): 高级colorbar标题间隔距离. Defaults to 20. - manual_colorbar_draw_border (bool, optional): 高级colorbar轮廓. Defaults to True. - manual_colorbar_tickline (bool, optional): 高级colorbar tick线. Defaults to False. - manual_colorbar_nticks (bool, optional): 高级colorbar tick数量. Defaults to False. - Returns: - plt.Figure: _description_ - """ - # 设置默认值 - if vmax is None: - vmax = np.max((np.max(connectome), -np.min(connectome))) - if vmin is None: - vmin = np.min((np.min(connectome), -np.max(connectome))) +def _gen_edges(connectome) -> list[tuple[Any, Any, Any]]: + i, j = np.triu_indices_from(connectome, k=1) + edges = [(u, v, connectome[u, v]) for u, v in zip(i, j) if connectome[u, v] != 0] + return edges + + +def _gen_sym_sectors(node_names) -> dict[str, float]: + node_num = len(node_names) + sectors = {} + # gap1 + sectors["_gap1"] = node_num / (35 * 2) + # 左半球 + for name in node_names[: int(node_num / 2)]: + sectors[name] = 1 + # gap2, gap3 + sectors["_gap2"] = node_num / (35 * 2) + sectors["_gap3"] = node_num / (35 * 2) + # 右半球 + for name in node_names[int(node_num / 2) :]: + sectors[name] = 1 + # gap4 + sectors["_gap4"] = node_num / (35 * 2) + return sectors + + +def _process_sym( + connectome, node_names, node_colors +) -> tuple[NDArray[Any], list[str], list[str]]: + """绘制对称图需做对称转换""" count = connectome.shape[0] count_half = int(count / 2) - if labels is None: - labels = [str(i) for i in range(count_half)] - if node_colors is None: - node_colors = ["#ff8f8f"] * count_half - labels = labels + [i + " " for i in labels[::-1]] - node_colors = node_colors + list(node_colors[::-1]) - node_angles = mne.viz.circular_layout( - labels, labels, group_boundaries=[0, len(labels) / 2] - ) - # 常规矩阵需要做对称转换 + + # connectome 处理 + # 分块 data_upper_left = connectome[0:count_half, 0:count_half] data_down_right = connectome[count_half:count, count_half:count] data_down_left = connectome[count_half:count, 0:count_half] data_upper_right = connectome[0:count_half, count_half:count] - data_down_right = data_down_right[::-1][:, ::-1] - data_down_left = data_down_left[::-1] - data_upper_right = data_upper_right[:, ::-1] + # 翻转 + data_upper_left = data_upper_left[::-1][:, ::-1] + data_upper_right = data_upper_right[::-1] + data_down_left = data_down_left[:, ::-1] + # 组合 connectome_upper = np.concatenate((data_upper_left, data_upper_right), axis=1) connectome_lower = np.concatenate((data_down_left, data_down_right), axis=1) connectome = np.concatenate((connectome_upper, connectome_lower), axis=0) - # 画图 - fig, ax = plt.subplots(figsize=figsize, subplot_kw={"polar": True}) - fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1) - plot_connectivity_circle( - connectome, - labels, - node_angles=node_angles, - node_colors=node_colors, - fontsize_names=labels_fontsize, - facecolor=face_color, - node_edgecolor=nodeedge_color, - textcolor=text_color, - colormap=cmap, - vmin=vmin, - vmax=vmax, - linewidth=linewidth, - title=title_name, - fontsize_title=title_fontsize, - colorbar=colorbar, - colorbar_size=colorbar_size, - colorbar_pos=colorbar_pos, - fontsize_colorbar=colorbar_fontsize, - fig=fig, - ax=ax, - interactive=False, - show=False, - ) - # 如有需要，禁用自动colorbar，手动生成colorbar - if manual_colorbar: - # 手动创建colorbar，拥有更多的设置 - cax = fig.add_axes(manual_colorbar_pos) - norm = plt.Normalize(vmin=vmin, vmax=vmax) - sm = plt.cm.ScalarMappable(cmap=manual_cmap, norm=norm) - sm.set_array([]) - cbar = fig.colorbar(sm, cax=cax) - cbar.outline.set_visible(manual_colorbar_draw_border) - cbar.ax.set_ylabel( - manual_colorbar_name, - fontsize=manual_colorbar_label_fontsize, - rotation=manual_colorbar_rotation, - labelpad=manual_colorbar_pad, - ) - if not manual_colorbar_tickline: - cbar.ax.tick_params(length=0) # 不显示竖线 - cbar.ax.yaxis.set_ticks_position("left") - cbar.ax.tick_params(labelsize=manual_colorbar_fontsize) - if manual_colorbar_nticks: - ticks = np.linspace(vmin, vmax, manual_colorbar_nticks) - cbar.set_ticks(ticks) - return fig + # node_names 处理 + node_names = node_names[:count_half][::-1] + node_names[count_half:] -def plot_asymmetric_circle_figure( - connectome: npt.NDArray, - labels: list[str] | None = None, + # node_colors 处理 + node_colors = node_colors[:count_half][::-1] + node_colors[count_half:] + + return connectome, node_names, node_colors + + +def plot_circos_figure( + connectome: NDArray, + ax: PolarAxes | None = None, + symmetric: bool = True, + node_names: list[str] | None = None, node_colors: list[str] | None = None, - vmin: Num | None = None, - vmax: Num | None = None, - figsize: Tuple[Num, Num] = (10, 10), - labels_fontsize: Num = 15, - face_color: str = "w", - nodeedge_color: str = "w", - text_color: str = "k", - cmap: str = "bwr", - linewidth: Num = 1, - title_name: str = "", - title_fontsize: Num = 20, - colorbar: bool = False, - colorbar_size: Num = 0.2, - colorbar_fontsize: Num = 10, - colorbar_pos: Tuple[Num, Num] = (0, 0), - manual_colorbar: bool = False, - manual_colorbar_pos: Tuple[Num, Num, Num, Num] = (1, 0.4, 0.01, 0.2), - manual_cmap: str = "bwr", - manual_colorbar_name: str = "", - manual_colorbar_label_fontsize: Num = 10, - manual_colorbar_fontsize: Num = 10, - manual_colorbar_rotation: Num = -90, - manual_colorbar_pad: Num = 20, - manual_colorbar_draw_border: bool = True, - manual_colorbar_tickline: bool = False, - manual_colorbar_nticks: bool = False, -) -> plt.Figure: - """绘制类circos连接图 + node_space: float = 0.0, + node_label_fontsize: int = 10, + vmin: float | None = None, + vmax: float | None = None, + cmap: str | None = None, + edge_color: str = "red", + edge_alpha: float = 1.0, + colorbar: bool = True, + colorbar_orientation: Literal["vertical", "horizontal"] = "vertical", + colorbar_label: str = "", +) -> Figure | PolarAxes: + """绘制脑连接组的环形图（Circos plot）。 Args: - connectome (npt.NDArray): 连接矩阵. - labels (list[str] | None, optional): 节点名称. Defaults to None. - node_colors (list[str] | None, optional): 节点颜色. Defaults to None. - vmin (Num | None, optional): 最小值. Defaults to None. - vmax (Num | None, optional): 最大值. Defaults to None. - figsize (Tuple[Num, Num], optional): 图大小. Defaults to (10, 10). - labels_fontsize (Num, optional): 节点名字大小. Defaults to 15. - face_color (str, optional): 图背景颜色. Defaults to "w". - nodeedge_color (str, optional): 节点轮廓颜色. Defaults to "w". - text_color (str, optional): 文本颜色. Defaults to "k". - cmap (str, optional): colorbar颜色. Defaults to "bwr". - linewidth (Num, optional): 连接线宽度. Defaults to 1. - title_name (str, optional): 图标题名称. Defaults to "". - title_fontsize (Num, optional): 图标题字体大小. Defaults to 20. - colorbar (bool, optional): 是否绘制colorbar. Defaults to False. - colorbar_size (Num, optional): colorbar大小. Defaults to 0.2. - colorbar_fontsize (Num, optional): colorbar字体大小. Defaults to 10. - colorbar_pos (Tuple[Num, Num], optional): colorbar位置. Defaults to (0, 0). - manual_colorbar (bool, optional): 高级colorbar. Defaults to False. - manual_colorbar_pos (Tuple[Num, Num, Num, Num], optional): 高级colorbar位置. Defaults to (1, 0.4, 0.01, 0.2). - manual_cmap (str, optional): 高级colorbar cmap. Defaults to "bwr". - manual_colorbar_name (str, optional): 高级colorbar名字. Defaults to "". - manual_colorbar_label_fontsize (Num, optional): 高级colorbar label字体大小. Defaults to 10. - manual_colorbar_fontsize (Num, optional): 高级colorbar字体大小. Defaults to 10. - manual_colorbar_rotation (Num, optional): 高级colorbar旋转. Defaults to -90. - manual_colorbar_pad (Num, optional): 高级colorbar标题间隔距离. Defaults to 20. - manual_colorbar_draw_border (bool, optional): 高级colorbar轮廓. Defaults to True. - manual_colorbar_tickline (bool, optional): 高级colorbar tick线. Defaults to False. - manual_colorbar_nticks (bool, optional): 高级colorbar tick数量. Defaults to False. + connectome (NDArray): 脑连接矩阵，必须为对称方阵。形状为(n, n)，其中n为脑区数量 + ax (Axes | None, optional): matplotlib的极坐标轴对象，如果提供则在此轴上绘图。默认为None + symmetric (bool, optional): 是否为对称布局（用于左右脑半球数据）。默认为True + node_names (list[str] | None, optional): 脑区名称列表，长度应与connectome的维度一致。默认为None时自动生成"Node_1", "Node_2"...格式的名称 + node_colors (list[str] | None, optional): 脑区颜色列表，长度应与脑区数量一致。默认为None时自动生成颜色 + node_space (float, optional): 脑区间间隔角度（度）。默认为0.0 + node_label_fontsize (int, optional): 脑区标签字体大小。默认为10 + vmin (float | None, optional): 连接强度颜色映射的最小值。默认为None时根据数据自动确定 + vmax (float | None, optional): 连接强度颜色映射的最大值。默认为None时根据数据自动确定 + cmap (str | None, optional): 颜色映射表名称。默认为None时根据edge_color生成 + edge_color (str, optional): 连线颜色，当cmap为None时使用此颜色生成颜色映射。默认为"red" + edge_alpha (float, optional): 连线透明度，范围0-1。默认为1.0（不透明） + colorbar (bool, optional): 是否显示颜色条。默认为True + colorbar_orientation (Literal["vertical", "horizontal"], optional): 颜色条方向。默认为"vertical" + colorbar_label (str, optional): 颜色条标签文本。默认为空字符串 + + Raises: + ValueError: 当connectome不是对称矩阵时抛出 + ValueError: 当vmin大于vmax时抛出 + TypeError: 当提供的ax不是PolarAxes类型时抛出 Returns: - plt.Figure: _description_ + Figure | Axes: 如果ax为None则返回Figure对象，否则返回Axes对象 """ - # 设置默认值 - if vmax is None: - vmax = np.max((np.max(connectome), -np.min(connectome))) - if vmin is None: - vmin = np.min((np.min(connectome), -np.max(connectome))) - count = connectome.shape[0] - if labels is None: - labels = [str(i) for i in range(count)] - if node_colors is None: - node_colors = ["#ff8f8f"] * count - node_angles = mne.viz.circular_layout(labels, labels) - # 画图 - fig, ax = plt.subplots(figsize=figsize, subplot_kw={"polar": True}) - fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1) - plot_connectivity_circle( - connectome, - labels, - node_angles=node_angles, - node_colors=node_colors, - fontsize_names=labels_fontsize, - facecolor=face_color, - node_edgecolor=nodeedge_color, - textcolor=text_color, - colormap=cmap, - vmin=vmin, - vmax=vmax, - linewidth=linewidth, - title=title_name, - fontsize_title=title_fontsize, - colorbar=colorbar, - colorbar_size=colorbar_size, - colorbar_pos=colorbar_pos, - fontsize_colorbar=colorbar_fontsize, - fig=fig, - ax=ax, - interactive=False, - show=False, - ) - # 如有需要，禁用自动colorbar，手动生成colorbar - if manual_colorbar: - # 手动创建colorbar，拥有更多的设置 - cax = fig.add_axes(manual_colorbar_pos) - norm = plt.Normalize(vmin=vmin, vmax=vmax) - sm = plt.cm.ScalarMappable(cmap=manual_cmap, norm=norm) - sm.set_array([]) - cbar = fig.colorbar(sm, cax=cax) - cbar.outline.set_visible(manual_colorbar_draw_border) - cbar.ax.set_ylabel( - manual_colorbar_name, - fontsize=manual_colorbar_label_fontsize, - rotation=manual_colorbar_rotation, - labelpad=manual_colorbar_pad, + + # 检查输入矩阵，指定cmap + if not is_symmetric_square(connectome): + raise ValueError("connectome 不是对称矩阵") + if np.all(connectome == 0): + logger.warning("connectome 矩阵所有元素均为0，可能没有有效连接数据") + vmax = float(0 if vmax is None else vmax) + vmin = float(0 if vmin is None else vmin) + colormap = gen_cmap(edge_color) if cmap is None else plt.get_cmap(cmap) + elif np.any(connectome < 0): + logger.warning( + "由于 connectome 存在负值，连线颜色无法自定义，只能正值显示红色，负值显示蓝色" + ) + max_strength = np.abs(connectome[connectome != 0]).max() + vmax = float(max_strength if vmax is None else vmax) + vmin = float(-max_strength if vmin is None else vmin) + colormap = plt.get_cmap("bwr") + else: + vmin = float(connectome.min() if vmin is None else vmin) + vmax = float(connectome.max() if vmax is None else vmax) + colormap = gen_cmap(edge_color) if cmap is None else plt.get_cmap(cmap) + if vmin > vmax: + raise ValueError(f"目前{vmin=}，而{vmax=}。但是vmin不得大于vmax，请检查数据") + norm = mcolors.Normalize(vmin=vmin, vmax=vmax) + + # 获取数据信息 + node_num = connectome.shape[0] + node_names = _gen_node_name(connectome) if node_names is None else node_names + + # 由于pycirclize的特性，sector顺序只能为顺时针，因此需要将数据进行翻转 + connectome = np.flip(connectome) + node_names = node_names[::-1] + if symmetric: + # 画对称图需额外做半球翻转处理 + node_colors = ( + gen_hex_colors(int(node_num / 2)) * 2 + if node_colors is None + else node_colors[::-1] + ) + connectome, node_names, node_colors = _process_sym( + connectome, node_names, node_colors + ) + sectors = _gen_sym_sectors(node_names) + else: + node_colors = ( + gen_hex_colors(node_num) if node_colors is None else node_colors[::-1] ) - if not manual_colorbar_tickline: - cbar.ax.tick_params(length=0) # 不显示竖线 - cbar.ax.yaxis.set_ticks_position("left") - cbar.ax.tick_params(labelsize=manual_colorbar_fontsize) - if manual_colorbar_nticks: - ticks = np.linspace(vmin, vmax, manual_colorbar_nticks) - cbar.set_ticks(ticks) - return fig + sectors = {node_name: 1 for node_name in node_names} + + edges = _gen_edges(connectome) + name2color = { + node_name: node_color for node_name, node_color in zip(node_names, node_colors) + } + circos = Circos(sectors, space=node_space) + + # 设置扇区 + for sector in circos.sectors: + if sector.name.startswith("_gap"): + continue + sector.text(sector.name, size=node_label_fontsize) + track = sector.add_track((95, 100)) + track.axis(fc=name2color[sector.name]) + + # 设置连接 + for edge in edges: + color = value_to_hex(edge[2], colormap, norm) + circos.link( + (node_names[edge[0]], 0.45, 0.55), + (node_names[edge[1]], 0.55, 0.45), + color=color, + alpha=edge_alpha, + ) + + # colorbar + if colorbar: + if colorbar_orientation == "vertical": + orientation = "vertical" + bounds = (1.1, 0.29, 0.02, 0.4) + label_kws = dict(size=12, rotation=270, labelpad=20) + else: + orientation = "horizontal" + bounds = (0.3, -0.1, 0.4, 0.03) + label_kws = dict(size=12) + circos.colorbar( + bounds=bounds, + orientation=orientation, + vmin=vmin, + vmax=vmax, + cmap=colormap, + label=colorbar_label, + label_kws=label_kws, + tick_kws=dict(labelsize=12), + ) + + # 画图 + if ax is None: + fig = circos.plotfig() + return fig + else: + circos.plotfig(ax=ax) + return ax diff --git a/src/plotfig/correlation.py b/src/plotfig/correlation.py index 4bf3869..8f840f1 100644 --- a/src/plotfig/correlation.py +++ b/src/plotfig/correlation.py @@ -16,6 +16,7 @@ __all__ = ["plot_correlation_figure"] + def plot_correlation_figure( data1: list[Num] | np.ndarray, data2: list[Num] | np.ndarray, @@ -26,7 +27,7 @@ def plot_correlation_figure( dots_size: int | float = 1, line_color: str = "r", title_name: str = "", - title_fontsize: int = 10, + title_fontsize: int = 12, title_pad: int = 10, x_label_name: str = "", x_label_fontsize: int = 10, @@ -46,7 +47,7 @@ def plot_correlation_figure( show_p_value: bool = False, hexbin: bool = False, hexbin_cmap: bool = None, - hexbin_gridsize:int = 50, + hexbin_gridsize: int = 50, ) -> None: """ 绘制两个数据集之间的相关性图，支持线性回归、置信区间和统计方法（Spearman 或 Pearson）。 @@ -83,6 +84,7 @@ def plot_correlation_figure( Returns: None """ + def set_axis( ax, axis, label, labelsize, ticksize, rotation, locator, max_tick_value, fmt ): @@ -127,7 +129,9 @@ def set_axis( if hexbin: if hexbin_cmap is None: - hexbin_cmap = LinearSegmentedColormap.from_list('custom', ['#ffffff', '#4573a5']) + hexbin_cmap = LinearSegmentedColormap.from_list( + "custom", ["#ffffff", "#4573a5"] + ) hb = ax.hexbin(A, B, gridsize=hexbin_gridsize, cmap=hexbin_cmap) else: ax.scatter(A, B, c=dots_color, s=dots_size, alpha=0.8) @@ -191,7 +195,9 @@ def set_axis( if show_p_value: asterisk = f" p={p:.4f}" else: - asterisk = " ***" if p < 0.001 else " **" if p < 0.01 else " *" if p < 0.05 else "" + asterisk = ( + " ***" if p < 0.001 else " **" if p < 0.01 else " *" if p < 0.05 else "" + ) x_start, x_end = ax.get_xlim() y_start, y_end = ax.get_ylim() ax.text( @@ -203,12 +209,4 @@ def set_axis( ) if hexbin: return hb - return - - -def main(): - pass - - -if __name__ == "__main__": - main() + return ax diff --git a/src/plotfig/matrix.py b/src/plotfig/matrix.py index e7455dd..70e9b70 100644 --- a/src/plotfig/matrix.py +++ b/src/plotfig/matrix.py @@ -10,6 +10,7 @@ __all__ = ["plot_matrix_figure"] + def plot_matrix_figure( data: np.ndarray, ax: Axes | None = None, @@ -33,36 +34,38 @@ def plot_matrix_figure( title_pad: Num = 20, diag_border: bool = False, **imshow_kwargs: Any, -) -> AxesImage: - """Plot a matrix as a heatmap with optional labels, colorbar, and title. +) -> Axes: + """ + 将矩阵绘制为热图，可选显示标签、颜色条和标题。 Args: - data (np.ndarray): 2D array of shape (N, M) to display as the matrix. - ax (Axes | None): Matplotlib axes to plot on. If None, uses current axes. - row_labels_name (Sequence[str] | None): List of labels for the rows. - col_labels_name (Sequence[str] | None): List of labels for the columns. - cmap (str): Colormap to use for the matrix. - vmin (Num | None): Minimum value for color scaling. Defaults to data.min(). - vmax (Num | None): Maximum value for color scaling. Defaults to data.max(). - aspect (str): Aspect ratio of the plot. Usually "equal" or "auto". - colorbar (bool): Whether to show a colorbar. - colorbar_label_name (str): Label for the colorbar. - colorbar_pad (Num): Padding between the colorbar and the matrix. - colorbar_label_fontsize (Num): Font size of the colorbar label. - colorbar_tick_fontsize (Num): Font size of the colorbar ticks. - colorbar_tick_rotation (Num): Rotation angle of the colorbar tick labels. - row_labels_fontsize (Num): Font size for the row labels. - col_labels_fontsize (Num): Font size for the column labels. - x_rotation (Num): Rotation angle for the x-axis (column) labels. - title_name (Num): Title of the plot. - title_fontsize (Num): Font size of the title. - title_pad (Num): Padding above the title. - diag_border (bool): Whether to draw borders along the diagonal cells. - **imshow_kwargs (Any): Additional keyword arguments for `imshow()`. + data (np.ndarray): 形状为 (N, M) 的二维数组，用于显示矩阵。 + ax (Axes | None): 要绘图的 Matplotlib 坐标轴。如果为 None，则使用当前坐标轴。 + row_labels_name (Sequence[str] | None): 行标签列表。 + col_labels_name (Sequence[str] | None): 列标签列表。 + cmap (str): 矩阵使用的颜色映射。 + vmin (Num | None): 颜色缩放的最小值，默认使用 data.min()。 + vmax (Num | None): 颜色缩放的最大值，默认使用 data.max()。 + aspect (str): 图像的纵横比，通常为 "equal" 或 "auto"。 + colorbar (bool): 是否显示颜色条。 + colorbar_label_name (str): 颜色条的标签。 + colorbar_pad (Num): 颜色条与矩阵之间的间距。 + colorbar_label_fontsize (Num): 颜色条标签的字体大小。 + colorbar_tick_fontsize (Num): 颜色条刻度的字体大小。 + colorbar_tick_rotation (Num): 颜色条刻度标签的旋转角度。 + row_labels_fontsize (Num): 行标签的字体大小。 + col_labels_fontsize (Num): 列标签的字体大小。 + x_rotation (Num): x 轴（列）标签的旋转角度。 + title_name (Num): 图表标题。 + title_fontsize (Num): 标题的字体大小。 + title_pad (Num): 标题上方的间距。 + diag_border (bool): 是否绘制对角线单元格边框。 + **imshow_kwargs (Any): 传递给 `imshow()` 的其他关键字参数。 Returns: - AxesImage: The image object created by `imshow()`. + AxesImage: 由 `imshow()` 创建的图像对象。 """ + ax = ax or plt.gca() vmin = vmin if vmin is not None else np.min(data) vmax = vmax if vmax is not None else np.max(data) @@ -112,12 +115,5 @@ def plot_matrix_figure( [cax.get_position().x0, ax_pos.y0, cax.get_position().width, ax_pos.height] ) - return - - -def main(): - pass - + return ax -if __name__ == "__main__": - main() diff --git a/src/plotfig/utils/__init__.py b/src/plotfig/utils/__init__.py new file mode 100644 index 0000000..3cb02e7 --- /dev/null +++ b/src/plotfig/utils/__init__.py @@ -0,0 +1,11 @@ +from .matrix import * +from .color import * + + +__all__ = [ + "gen_hex_colors", + "gen_symmetric_matrix", + "gen_cmap", + "value_to_hex", + "is_symmetric_square", +] diff --git a/src/plotfig/utils/color.py b/src/plotfig/utils/color.py new file mode 100644 index 0000000..9f022c0 --- /dev/null +++ b/src/plotfig/utils/color.py @@ -0,0 +1,53 @@ +import numpy as np +import matplotlib.colors as mcolors +from matplotlib.colors import LinearSegmentedColormap, Colormap, Normalize + + +def gen_hex_colors(n: int, seed: int = 42) -> list[str]: + """ + 生成 n 个随机的十六进制颜色字符串。 + + Args: + n (int): 需要生成的颜色数量。 + seed (int, optional): 随机种子，默认为 42。 + + Returns: + list[str]: 包含 n 个十六进制颜色字符串的列表。 + """ + + RNG = np.random.default_rng(seed=seed) + rgb = RNG.integers(0, 256, size=(n, 3)) # n×3 的整数矩阵 + colors = [f"#{r:02x}{g:02x}{b:02x}" for r, g, b in rgb] + return colors + + +def gen_cmap(color: str = "red") -> Colormap: + """ + 生成一个从白色到指定颜色的线性渐变色图。 + + Args: + color (str, optional): 渐变的目标颜色，默认为 "red"。 + + Returns: + Colormap: 线性渐变的色图对象。 + """ + + cmap = LinearSegmentedColormap.from_list("white_to_color", ["white", color]) + return cmap + + +def value_to_hex(value: float, cmap: Colormap, norm: Normalize) -> str: + """ + 根据数值、色图和归一化对象，将数值映射为十六进制颜色字符串。 + + Args: + value (float): 需要映射的数值。 + cmap (Colormap): 用于映射的色图对象。 + norm (Normalize): 用于归一化的对象。 + + Returns: + str: 映射得到的十六进制颜色字符串。 + """ + + rgba = cmap(norm(value)) # 得到 RGBA + return mcolors.to_hex(rgba) diff --git a/src/plotfig/utils/matrix.py b/src/plotfig/utils/matrix.py new file mode 100644 index 0000000..052f84e --- /dev/null +++ b/src/plotfig/utils/matrix.py @@ -0,0 +1,59 @@ +import numpy as np +from numpy.typing import NDArray + + +def gen_symmetric_matrix( + n, mode="nonneg", sparsity: float = 1.0, seed: int = 42 +) -> NDArray: + """ + 生成一个对称方阵，可以指定元素范围和稀疏度。 + + Args: + n (int): 方阵的维度。 + mode (str, optional): 元素类型，"nonneg" 表示非负，"all" 表示可为负。默认为 "nonneg"。 + sparsity (float, optional): 稀疏度，取值范围 [0, 1]，1 表示全密集，0 表示全零。默认为 1.0。 + seed (int, optional): 随机种子，默认为 42。 + + Raises: + ValueError: 如果 mode 不是 "nonneg" 或 "all"。 + + Returns: + NDArray: 生成的对称方阵。 + """ + # 创建随机数生成器 + RNG = np.random.default_rng(seed=seed) + # 生成权重矩阵上三角 + if mode == "nonneg": + upper = np.triu(RNG.random((n, n)), k=1) + elif mode == "all": + upper = np.triu(RNG.uniform(-1, 1, size=(n, n)), k=1) + else: + raise ValueError("mode must be 'nonneg' or 'all'") + # 稀疏化：随机生成mask + if sparsity < 1.0: + mask = RNG.random((n, n)) < sparsity + mask = np.triu(mask, k=1) # 上三角mask + upper *= mask + # 构造对称矩阵 + mat = upper + upper.T + np.fill_diagonal(mat, 0.0) + return mat + + +def is_symmetric_square(matrix: NDArray, tol: float = 1e-8) -> bool: + """ + 判断一个矩阵是否为对称方阵。 + + Args: + matrix (NDArray): 待判断的矩阵。 + tol (float, optional): 判断对称性的容差，默认为 1e-8。 + + Returns: + bool: 如果是对称方阵则返回 True，否则返回 False。 + """ + # 1. 检查是否为方阵 + if matrix.ndim != 2 or matrix.shape[0] != matrix.shape[1]: + return False + + # 2. 检查是否对称 + return np.allclose(matrix, matrix.T, atol=tol) diff --git a/tests/test.ipynb b/tests/test.ipynb index 7234fcf..6540b7a 100644 --- a/tests/test.ipynb +++ b/tests/test.ipynb @@ -1,153 +1,53 @@ { "cells": [ - { - "cell_type": "markdown", - "id": "84d45348", - "metadata": {}, - "source": [ - "# 测试brain_connection" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ce1c6a22", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "\n", - "def generate_sparse_connectome_v1(size: int = 31, sparsity: float = 0.9, seed=None):\n", - " \"\"\"\n", - " 生成稀疏对称矩阵\n", - "\n", - " Parameters:\n", - " size: 矩阵大小\n", - " sparsity: 稀疏度，0表示没有0元素，1表示全部为0元素\n", - " \"\"\"\n", - " if seed is not None:\n", - " np.random.seed(seed)\n", - " # 生成随机矩阵\n", - " connectome = np.random.rand(size, size)\n", - "\n", - " # 应用稀疏度 - 随机将一些元素设为0\n", - " mask = np.random.rand(size, size) < sparsity\n", - " connectome[mask] = 0\n", - "\n", - " # 确保矩阵对称\n", - " connectome = np.triu(connectome) + np.triu(connectome, 1).T\n", - "\n", - " # 确保对角线为0\n", - " np.fill_diagonal(connectome, 0)\n", - "\n", - " return connectome\n", - "\n", - "\n", - "def generate_sparse_connectome_v2(\n", - " size: int = 31, density: float = 0.1, seed: int | None = None\n", - ") -> np.ndarray:\n", - " \"\"\"\n", - " 生成一个对称的方阵，满足：\n", - " - 对角线为0\n", - " - 有正负值\n", - " - 稀疏程度由 density 控制（非零元素比例）\n", - "\n", - " 参数:\n", - " size: 方阵大小（行列数）\n", - " density: 非零元素比例，0~1，越小越稀疏\n", - " seed: 随机种子，方便复现\n", - "\n", - " 返回:\n", - " np.ndarray 方阵\n", - " \"\"\"\n", - " if seed is not None:\n", - " np.random.seed(seed)\n", - "\n", - " # 先生成上三角（不含对角线）随机稀疏矩阵\n", - " upper = np.random.choice(\n", - " [0, 1], size=(size, size), p=[1 - density, density]\n", - " ) * np.random.uniform(-1, 1, size=(size, size))\n", - "\n", - " # 让对角线为0\n", - " np.fill_diagonal(upper, 0)\n", - "\n", - " # 只保留上三角部分（含对角线0）\n", - " upper = np.triu(upper, k=1)\n", - "\n", - " # 下三角镜像上三角，保证对称\n", - " mat = upper + upper.T\n", - "\n", - " return mat\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "88082368", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-08-11 22:50:10.596\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mplotfig.brain_connection\u001b[0m:\u001b[36mplot_brain_connection_figure\u001b[0m:\u001b[36m267\u001b[0m - \u001b[1m未指定保存路径，默认保存在当前文件夹下的2025-08-11_22-50-10.html中。\u001b[0m\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "from plotfig import plot_brain_connection_figure\n", - "\n", - "lh_surfgii_file = r\"e:\\6_Self\\plot_self_brain_connectivity\\103818.L.midthickness.32k_fs_LR.surf.gii\"\n", - "rh_surfgii_file = r\"e:\\6_Self\\plot_self_brain_connectivity\\103818.R.midthickness.32k_fs_LR.surf.gii\"\n", - "niigz_file = r\"e:\\6_Self\\plot_self_brain_connectivity\\human_Self_processing_network.nii.gz\"\n", - "output_file = r\"E:\\git_repositories\\plotfig\\tests\\test.html\"\n", - "\n", - "connectome = generate_sparse_connectome_v1(seed=42)\n", - "# connectome = generate_sparse_connectome_v2(seed=42)\n", - "# print(np.max(connectome), np.min(connectome))\n", - "\n", - "fig = plot_brain_connection_figure(\n", - " connectome,\n", - " lh_surfgii_file=lh_surfgii_file,\n", - " rh_surfgii_file=rh_surfgii_file,\n", - " niigz_file=niigz_file,\n", - " # \n", - " line_color=\"green\",\n", - " scale_method=\"width_color\"\n", - "\n", - ")" - ] - }, { "cell_type": "code", "execution_count": null, - "id": "36628f32", + "id": "afa223d5", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 36/36 [02:34<00:00, 4.30s/it]\n", - "\u001b[32m2025-08-11 22:52:55.854\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mplotfig.brain_connection\u001b[0m:\u001b[36msave_brain_connection_frames\u001b[0m:\u001b[36m320\u001b[0m - \u001b[1m保存了 36 张图片在 E:/git_repositories/plotfig/tests/brain_connec_frames\u001b[0m\n" - ] + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "from plotfig import save_brain_connection_frames\n", - "\n", - "save_brain_connection_frames(fig, \"E:/git_repositories/plotfig/tests/figures/brain_connec_frames\")" + "from pycirclize import Circos\n", + "import numpy as np\n", + "np.random.seed(0)\n", + "\n", + "sectors = {\"A\": 10, \"B\": 20, \"C\": 15}\n", + "circos = Circos(sectors, space=10)\n", + "vmin1, vmax1 = 0, 10\n", + "vmin2, vmax2 = -100, 100\n", + "for sector in circos.sectors:\n", + " # Plot heatmap\n", + " track1 = sector.add_track((80, 100))\n", + " track1.axis()\n", + " track1.xticks_by_interval(1)\n", + " data = np.random.randint(vmin1, vmax1 + 1, (4, int(sector.size)))\n", + " track1.heatmap(data, vmin=vmin1, vmax=vmax1, show_value=True)\n", + " # Plot heatmap with labels\n", + " track2 = sector.add_track((50, 70))\n", + " track2.axis()\n", + " x = np.linspace(1, int(track2.size), int(track2.size)) - 0.5\n", + " xlabels = [str(int(v + 1)) for v in x]\n", + " track2.xticks(x, xlabels, outer=False)\n", + " track2.yticks([0.5, 1.5, 2.5, 3.5, 4.5], list(\"ABCDE\"), vmin=0, vmax=5)\n", + " data = np.random.randint(vmin2, vmax2 + 1, (5, int(sector.size)))\n", + " track2.heatmap(data, vmin=vmin2, vmax=vmax2, cmap=\"viridis\", rect_kws=dict(ec=\"white\", lw=1))\n", + "\n", + "circos.colorbar(bounds=(0.35, 0.55, 0.3, 0.01), vmin=vmin1, vmax=vmax1, orientation=\"horizontal\")\n", + "circos.colorbar(bounds=(0.35, 0.45, 0.3, 0.01), vmin=vmin2, vmax=vmax2, orientation=\"horizontal\", cmap=\"viridis\")\n", + "\n", + "fig = circos.plotfig()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8b7c94cf", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/tests/test.py b/tests/test.py index 363a4ba..1c0b7f4 100644 --- a/tests/test.py +++ b/tests/test.py @@ -1,5 +1,4 @@ import random -from plotfig import * input_file = 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