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feat(bokeh): implement histogram-stacked (#2634)
## Implementation: `histogram-stacked` - bokeh Implements the **bokeh** version of `histogram-stacked`. **File:** `plots/histogram-stacked/implementations/bokeh.py` --- :robot: *[impl-generate workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20594559186)* --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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‎plots/histogram-stacked/implementations/bokeh.py‎

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""" pyplots.ai
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histogram-stacked: Stacked Histogram
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Library: bokeh 3.8.1 | Python 3.13.11
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Quality: 91/100 | Created: 2025-12-30
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"""
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import numpy as np
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from bokeh.io import export_png
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from bokeh.plotting import figure
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# Data - Simulating test scores from three different study groups
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np.random.seed(42)
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# Group A: Regular study group (higher scores, tighter distribution)
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group_a = np.random.normal(loc=75, scale=8, size=150)
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# Group B: Intensive study group (highest scores)
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group_b = np.random.normal(loc=82, scale=10, size=120)
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# Group C: Self-study group (lower scores, wider distribution)
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group_c = np.random.normal(loc=65, scale=12, size=100)
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# Create consistent bin edges for all groups
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all_data = np.concatenate([group_a, group_b, group_c])
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bin_edges = np.linspace(all_data.min() - 1, all_data.max() + 1, 16)
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# Compute histograms with same bins
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hist_a, _ = np.histogram(group_a, bins=bin_edges)
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hist_b, _ = np.histogram(group_b, bins=bin_edges)
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hist_c, _ = np.histogram(group_c, bins=bin_edges)
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# Calculate bar positions and widths
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bin_centers = (bin_edges[:-1] + bin_edges[1:]) / 2
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bin_width = bin_edges[1] - bin_edges[0]
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# Create figure
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p = figure(
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width=4800,
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height=2700,
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title="histogram-stacked · bokeh · pyplots.ai",
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x_axis_label="Test Score (points)",
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y_axis_label="Frequency (count)",
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)
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# Plot stacked bars - bottom to top: C, A, B
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# Group C at the bottom (Self-study - lower scores)
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p.vbar(
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x=bin_centers,
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top=hist_c,
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bottom=0,
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width=bin_width * 0.85,
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fill_color="#306998",
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line_color="white",
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line_width=2,
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alpha=0.9,
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legend_label="Self-study Group",
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)
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# Group A stacked on top of C (Regular study - middle scores)
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p.vbar(
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x=bin_centers,
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top=hist_c + hist_a,
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bottom=hist_c,
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width=bin_width * 0.85,
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fill_color="#FFD43B",
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line_color="white",
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line_width=2,
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alpha=0.9,
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legend_label="Regular Study Group",
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)
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# Group B stacked on top of A (Intensive study - higher scores)
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p.vbar(
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x=bin_centers,
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top=hist_c + hist_a + hist_b,
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bottom=hist_c + hist_a,
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width=bin_width * 0.85,
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fill_color="#4B8BBE",
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line_color="white",
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line_width=2,
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alpha=0.9,
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legend_label="Intensive Study Group",
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)
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# Styling for large canvas (4800x2700)
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p.title.text_font_size = "36pt"
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p.xaxis.axis_label_text_font_size = "28pt"
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p.yaxis.axis_label_text_font_size = "28pt"
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p.xaxis.major_label_text_font_size = "22pt"
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p.yaxis.major_label_text_font_size = "22pt"
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# Grid styling
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p.xgrid.grid_line_alpha = 0.3
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p.ygrid.grid_line_alpha = 0.3
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p.xgrid.grid_line_dash = "dashed"
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p.ygrid.grid_line_dash = "dashed"
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# Legend styling - inside plot area
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p.legend.location = "top_right"
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p.legend.label_text_font_size = "22pt"
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p.legend.glyph_width = 50
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p.legend.glyph_height = 50
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p.legend.spacing = 15
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p.legend.padding = 25
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p.legend.background_fill_alpha = 0.85
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p.legend.border_line_width = 2
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p.legend.border_line_color = "#cccccc"
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# Axis range padding
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p.y_range.start = 0
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# Save
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export_png(p, filename="plot.png")

‎plots/histogram-stacked/metadata/bokeh.yaml‎

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library: bokeh
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specification_id: histogram-stacked
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created: '2025-12-30T10:40:06Z'
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updated: '2025-12-30T10:50:22Z'
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generated_by: claude-opus-4-5-20251101
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workflow_run: 20594559186
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issue: 0
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python_version: 3.13.11
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library_version: 3.8.1
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preview_url: https://storage.googleapis.com/pyplots-images/plots/histogram-stacked/bokeh/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/histogram-stacked/bokeh/plot_thumb.png
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preview_html: https://storage.googleapis.com/pyplots-images/plots/histogram-stacked/bokeh/plot.html
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quality_score: 91
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review:
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strengths:
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- Excellent text sizing scaled appropriately for 4800x2700 canvas
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- Clean stacking implementation with proper bottom/top calculations
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- White line separators between segments improve readability
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- Realistic educational scenario with meaningful group differences
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- Proper use of consistent bin edges across all groups
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weaknesses:
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- 'Two blue colors (dark #306998 and light #4B8BBE) may cause confusion for colorblind
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users; consider using more distinct hues'
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- Does not use ColumnDataSource which is idiomatic Bokeh practice
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- Some test scores exceed 100 points which is atypical for standard tests

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