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Copy file name to clipboardExpand all lines: docs/Multi-year_on_year_example.ipynb
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"1. Import and preliminary calculations: In this step data is imported and augmented to enable analysis with RdTools. **No RdTools functions are used in this step. It will vary depending on the particulars of your dataset.** \n",
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"2. Analysis with RdTools: This notebook illustrates the use of the TrendAnalysis API with two new features: `label='center'` and `multi_yoy=True`. Because we are implementing this with the `rdtools.TrendAnalysis` object-oriented API, it requires passing kwargs to `degradation_year_on_year` as a dictionary in the `TrendAnalysis.sensor_analysis(yoy_kwargs={})` input.\n",
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"For a consistent experience, we recommend using [pixi](https://pixi.sh) to set up the notebook environment. From the base directory, run `pixi run -e notebooks lab` to launch JupyterLab with all required packages. Alternatively, install manually with `pip install rdtools[notebooks]`. This notebook was tested in python 3.13.\n",
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"For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) This notebook was tested in python 3.12.\n",
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"This notebook works with data from system 4 of the PVDAQ dataset [1]. This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal).\n",
Copy file name to clipboardExpand all lines: docs/TrendAnalysis_example.ipynb
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"# TrendAnalysis object-oriented example\n",
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"This juypter notebook is intended to demonstrate the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API. For a consistent experience, we recommend using [pixi](https://pixi.sh) to set up the notebook environment. From the base directory, run `pixi run -e notebooks lab` to launch JupyterLab with all required packages. Alternatively, install manually with `pip install rdtools[notebooks]`. This notebook was tested in python 3.13.\n",
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"This juypter notebook is intended to demonstrate the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) This notebook was tested in python 3.12.\n",
Copy file name to clipboardExpand all lines: docs/TrendAnalysis_example_NSRDB.ipynb
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"# TrendAnalysis with satellite data\n",
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"\n",
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"This juypter notebook is intended to demonstrate how to use the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API with satellite weather/irradiance data, such as NSRDB, instead of ground-based sensor data. For a consistent experience, we recommend using [pixi](https://pixi.sh) to set up the notebook environment. From the base directory, run `pixi run -e notebooks lab` to launch JupyterLab with all required packages. Alternatively, install manually with `pip install rdtools[notebooks]`. This notebook was tested in python 3.13.\n",
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"This juypter notebook is intended to demonstrate how to use the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API with satellite weather/irradiance data, such as NSRDB, instead of ground-based sensor data. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) This notebook was tested in python 3.12.\n",
Copy file name to clipboardExpand all lines: docs/degradation_and_soiling_example.ipynb
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"# Degradation and soiling example\n",
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"\n",
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"\n",
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"This jupyter notebook is intended to the RdTools trend analysis workflow using the functional API. In addition, the notebook demonstrates the effects of changes in the workflow. For a consistent experience, we recommend using [pixi](https://pixi.sh) to set up the notebook environment. From the base directory, run `pixi run -e notebooks lab` to launch JupyterLab with all required packages. Alternatively, install manually with `pip install rdtools[notebooks]`. These environments and examples are tested with Python 3.13.\n",
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"This jupyter notebook is intended to the RdTools trend analysis workflow using the functional API. In addition, the notebook demonstrates the effects of changes in the workflow. For a consistent experience, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.12.\n",
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"The calculations consist of several steps illustrated here:\n",
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