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feat(plotly): implement choropleth-basic (#3112)
## Implementation: `choropleth-basic` - plotly Implements the **plotly** version of `choropleth-basic`. **File:** `plots/choropleth-basic/implementations/plotly.py` **Parent Issue:** #3069 --- :robot: *[impl-generate workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20620322406)* --------- 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/choropleth-basic/implementations/plotly.py‎

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""" pyplots.ai
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choropleth-basic: Choropleth Map with Regional Coloring
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Library: plotly 6.5.0 | Python 3.13.11
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Quality: 92/100 | Created: 2025-12-31
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"""
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import numpy as np
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import pandas as pd
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import plotly.express as px
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# Data - GDP per capita for European countries (realistic economic indicator)
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np.random.seed(42)
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# European country ISO codes and approximate GDP per capita (USD)
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countries = [
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"DEU",
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"FRA",
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"GBR",
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"ITA",
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"ESP",
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"POL",
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"NLD",
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"BEL",
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"SWE",
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"AUT",
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"CHE",
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"NOR",
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"DNK",
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"FIN",
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"IRL",
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"PRT",
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"GRC",
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"CZE",
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"ROU",
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"HUN",
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"SVK",
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"BGR",
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"HRV",
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"SVN",
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"EST",
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"LVA",
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"LTU",
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"LUX",
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"ISL",
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"SRB",
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]
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# Realistic GDP per capita values (in thousands USD) - varied distribution
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gdp_values = [
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52.0,
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44.0,
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46.0,
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35.0,
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30.0,
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18.0,
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58.0,
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51.0,
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56.0,
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53.0,
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92.0,
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89.0,
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68.0,
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54.0,
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103.0,
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24.0,
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20.0,
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27.0,
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15.0,
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18.0,
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21.0,
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12.0,
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17.0,
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29.0,
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28.0,
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22.0,
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24.0,
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125.0,
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75.0,
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9.0,
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]
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df = pd.DataFrame({"country": countries, "gdp_per_capita": gdp_values})
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# Create choropleth map
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fig = px.choropleth(
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df,
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locations="country",
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locationmode="ISO-3",
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color="gdp_per_capita",
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color_continuous_scale="Viridis",
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scope="europe",
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labels={"gdp_per_capita": "GDP per Capita (k USD)"},
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)
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# Update layout for large canvas
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fig.update_layout(
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title={
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"text": "GDP per Capita in Europe · choropleth-basic · plotly · pyplots.ai",
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"font": {"size": 28},
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"x": 0.5,
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"xanchor": "center",
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},
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geo={
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"showframe": False,
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"showcoastlines": True,
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"coastlinecolor": "gray",
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"coastlinewidth": 1,
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"showland": True,
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"landcolor": "lightgray",
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"showocean": True,
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"oceancolor": "aliceblue",
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"showlakes": True,
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"lakecolor": "aliceblue",
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"projection_type": "natural earth",
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"bgcolor": "white",
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},
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coloraxis_colorbar={
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"title": {"text": "GDP per Capita<br>(k USD)", "font": {"size": 20}},
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"tickfont": {"size": 16},
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"len": 0.7,
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"thickness": 25,
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"x": 0.95,
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},
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template="plotly_white",
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margin={"l": 20, "r": 80, "t": 80, "b": 20},
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)
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# Update traces for better visibility
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fig.update_traces(marker_line_color="darkgray", marker_line_width=0.5)
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# Save as PNG (4800x2700 px)
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fig.write_image("plot.png", width=1600, height=900, scale=3)
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# Save as HTML for interactivity
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fig.write_html("plot.html", include_plotlyjs=True, full_html=True)

‎plots/choropleth-basic/metadata/plotly.yaml‎

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library: plotly
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specification_id: choropleth-basic
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created: '2025-12-31T13:56:19Z'
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updated: '2025-12-31T14:08:32Z'
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generated_by: claude-opus-4-5-20251101
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workflow_run: 20620322406
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issue: 3069
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python_version: 3.13.11
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library_version: 6.5.0
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preview_url: https://storage.googleapis.com/pyplots-images/plots/choropleth-basic/plotly/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/choropleth-basic/plotly/plot_thumb.png
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preview_html: https://storage.googleapis.com/pyplots-images/plots/choropleth-basic/plotly/plot.html
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quality_score: 92
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review:
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strengths:
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- Excellent choice of realistic European GDP data with proper ISO-3 country codes
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- Clean Viridis colorblind-safe color palette with appropriate value range
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- Well-formatted title following the required naming convention
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- Good use of Plotly geographic features (scope, projection, coastlines, ocean coloring)
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- Generates both PNG and interactive HTML output
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- Missing data countries shown gracefully in gray
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weaknesses:
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- Title format includes extra prefix before the spec-id pattern
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- Country border lines could be slightly thicker for better boundary visibility
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- Could add hover templates to enhance interactive HTML with formatted GDP values

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