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MarkusNeusingerMarkusNeusinger
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Merge branch 'main' into implementation/rose-basic/pygal
2 parents 2919938 + 7e319a5 commit c250078

6 files changed

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‎plots/rose-basic/implementations/python/matplotlib.py‎

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""" pyplots.ai
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""" anyplot.ai
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rose-basic: Basic Rose Chart
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Library: matplotlib 3.10.8 | Python 3.13.11
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Quality: 91/100 | Created: 2025-12-23
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Library: matplotlib 3.10.9 | Python 3.13.13
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Quality: 80/100 | Updated: 2026-04-30
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"""
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import matplotlib.pyplot as plt

‎plots/rose-basic/implementations/python/plotly.py‎

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""" pyplots.ai
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""" anyplot.ai
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rose-basic: Basic Rose Chart
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Library: plotly 6.5.0 | Python 3.13.11
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Quality: 91/100 | Created: 2025-12-23
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Library: plotly 6.7.0 | Python 3.13.13
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Quality: 90/100 | Updated: 2026-04-30
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"""
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import os
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import plotly.graph_objects as go
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# Data - Monthly rainfall (mm) showing seasonal pattern
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# Theme tokens
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THEME = os.getenv("ANYPLOT_THEME", "light")
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PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
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ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
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INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
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INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
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GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
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# Data - Monthly rainfall (mm) showing pronounced seasonal pattern
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months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
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rainfall = [78, 62, 55, 48, 42, 38, 35, 40, 52, 68, 82, 85]
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rainfall = [92, 74, 60, 45, 32, 18, 12, 22, 48, 75, 98, 105]
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# Create the rose chart using barpolar
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# Using month names directly as theta (categorical) for proper label placement
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# Plot
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fig = go.Figure()
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fig.add_trace(
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go.Barpolar(
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r=rainfall,
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theta=months,
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width=0.9, # Slight gap between bars for visual clarity
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width=0.9,
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marker={
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"color": rainfall,
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"colorscale": [[0, "#FFD43B"], [1, "#306998"]], # Python Yellow to Blue
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"line": {"color": "white", "width": 2},
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"cmin": min(rainfall),
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"colorscale": "viridis",
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"line": {"color": PAGE_BG, "width": 2},
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"cmin": 0,
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"cmax": max(rainfall),
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},
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hovertemplate="<b>%{theta}</b><br>Rainfall: %{r} mm<extra></extra>",
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)
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)
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# Update layout for 4800x2700 px output
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fig.update_layout(
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title={"text": "rose-basic · plotly · pyplots.ai", "font": {"size": 48}, "x": 0.5, "xanchor": "center"},
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template="plotly_white",
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title={
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"text": "rose-basic · plotly · anyplot.ai",
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"font": {"size": 48, "color": INK},
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"x": 0.5,
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"xanchor": "center",
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},
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paper_bgcolor=PAGE_BG,
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polar={
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"bgcolor": PAGE_BG,
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"angularaxis": {
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"tickfont": {"size": 28},
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"tickfont": {"size": 28, "color": INK_SOFT},
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"direction": "clockwise",
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"rotation": 90, # Start at top (12 o'clock)
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"gridcolor": "rgba(0,0,0,0.1)",
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"linecolor": "rgba(0,0,0,0.3)",
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"rotation": 90,
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"gridcolor": GRID,
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"linecolor": INK_SOFT,
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},
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"radialaxis": {
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"tickfont": {"size": 22},
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"gridcolor": "rgba(0,0,0,0.15)",
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"linecolor": "rgba(0,0,0,0.3)",
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"tickfont": {"size": 22, "color": INK_SOFT},
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"gridcolor": GRID,
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"linecolor": INK_SOFT,
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"ticksuffix": " mm",
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"angle": 45,
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"dtick": 20,
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"dtick": 25,
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},
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"bgcolor": "white",
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},
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showlegend=False,
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margin={"l": 100, "r": 100, "t": 150, "b": 100},
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)
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# Save as PNG (4800 x 2700 px)
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fig.write_image("plot.png", width=1600, height=900, scale=3)
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# Save interactive HTML version
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fig.write_html("plot.html", include_plotlyjs="cdn")
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# Save
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fig.write_image(f"plot-{THEME}.png", width=1600, height=900, scale=3)
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fig.write_html(f"plot-{THEME}.html", include_plotlyjs="cdn")

‎plots/rose-basic/implementations/python/seaborn.py‎

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""" pyplots.ai
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""" anyplot.ai
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rose-basic: Basic Rose Chart
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Library: seaborn 0.13.2 | Python 3.13.11
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Quality: 91/100 | Created: 2025-12-23
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Library: seaborn 0.13.2 | Python 3.13.13
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Quality: 82/100 | Updated: 2026-04-30
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"""
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import os
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import matplotlib.pyplot as plt
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import numpy as np
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import seaborn as sns
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# Theme tokens
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THEME = os.getenv("ANYPLOT_THEME", "light")
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PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
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ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
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INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
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INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
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# Apply seaborn theme with full adaptive chrome
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sns.set_theme(
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style="ticks",
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rc={
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"figure.facecolor": PAGE_BG,
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"axes.facecolor": PAGE_BG,
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"axes.edgecolor": INK_SOFT,
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"axes.labelcolor": INK,
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"text.color": INK,
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"xtick.color": INK_SOFT,
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"ytick.color": INK_SOFT,
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"grid.color": INK_SOFT,
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"grid.alpha": 0.12,
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"legend.facecolor": ELEVATED_BG,
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"legend.edgecolor": INK_SOFT,
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},
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)
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# Data: Monthly rainfall (mm) showing seasonal patterns
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months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
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rainfall = [89, 72, 95, 112, 135, 168, 142, 125, 98, 76, 82, 91]
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# Calculate angles - start at top (12 o'clock position)
1744
n_categories = len(months)
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angles = np.linspace(0, 2 * np.pi, n_categories, endpoint=False)
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20-
# Bar width (slightly less than full segment for gaps)
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width = 2 * np.pi / n_categories * 0.85
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2348
# Create figure with polar projection (square format for radial plot)
2449
fig, ax = plt.subplots(figsize=(12, 12), subplot_kw={"projection": "polar"})
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fig.patch.set_facecolor(PAGE_BG)
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ax.set_facecolor(PAGE_BG)
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26-
# Use seaborn color palette - Blues gradient for rainfall theme
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palette = sns.color_palette("Blues", n_colors=n_categories)
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# Use seaborn Blues palette for sequential rainfall depth; skip lightest shades
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palette = sns.color_palette("Blues", n_colors=n_categories + 3)[3:]
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# Plot bars - radius proportional to value
30-
ax.bar(angles, rainfall, width=width, bottom=0, color=palette, edgecolor="white", linewidth=2, alpha=0.9)
57+
ax.bar(angles, rainfall, width=width, bottom=0, color=palette, edgecolor=PAGE_BG, linewidth=1.5, alpha=0.92)
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32-
# Configure polar axis - start at top, go clockwise
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ax.set_theta_offset(np.pi / 2) # Start at top (12 o'clock)
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ax.set_theta_direction(-1) # Clockwise direction
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# Configure polar axis - start at top (12 o'clock), clockwise
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ax.set_theta_offset(np.pi / 2)
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ax.set_theta_direction(-1)
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36-
# Set category labels at correct positions
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# Category labels
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ax.set_xticks(angles)
38-
ax.set_xticklabels(months, fontsize=20, fontweight="bold")
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ax.set_xticklabels(months, fontsize=20, fontweight="bold", color=INK)
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# Configure radial gridlines and labels
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# Radial gridlines and labels
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max_val = max(rainfall)
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ax.set_ylim(0, max_val * 1.15)
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ax.set_yticks([50, 100, 150])
44-
ax.set_yticklabels(["50 mm", "100 mm", "150 mm"], fontsize=14, color="#555555")
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ax.set_yticklabels(["50 mm", "100 mm", "150 mm"], fontsize=14, color=INK_SOFT)
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# Style the grid
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ax.grid(True, alpha=0.3, linestyle="--", linewidth=1.5, color="#888888")
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# Grid and spine styling
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ax.grid(True, alpha=0.18, linestyle="--", linewidth=1.2, color=INK_SOFT)
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ax.spines["polar"].set_visible(False)
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# Add title with proper formatting
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# Title
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ax.set_title(
52-
"Monthly Rainfall (mm) · rose-basic · seaborn · pyplots.ai", fontsize=24, fontweight="bold", pad=35, color="#333333"
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"Monthly Rainfall (mm) · rose-basic · seaborn · anyplot.ai", fontsize=24, fontweight="bold", pad=35, color=INK
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)
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55-
# Add value labels on each bar
82+
# Value labels on each bar
5683
for angle, value in zip(angles, rainfall, strict=True):
57-
# Position label just outside the bar
58-
label_radius = value + 12
59-
ax.text(angle, label_radius, f"{value}", ha="center", va="center", fontsize=14, fontweight="bold", color="#306998")
84+
ax.text(angle, value + 12, f"{value}", ha="center", va="center", fontsize=14, fontweight="bold", color=INK_SOFT)
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6186
plt.tight_layout()
62-
plt.savefig("plot.png", dpi=300, bbox_inches="tight", facecolor="white")
87+
plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG)

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