feat(seaborn): implement rose-basic

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

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