feat(seaborn): implement contour-filled

plots/contour-filled/implementations/python/seaborn.py

@@ -1,55 +1,82 @@
-""" pyplots.ai
+""" anyplot.ai
 contour-filled: Filled Contour Plot
-Library: seaborn 0.13.2 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-30
+Library: seaborn 0.13.2 | Python 3.13.13
+Quality: 88/100 | Updated: 2026-05-15
 """
 
+import os
+
 import matplotlib.pyplot as plt
 import numpy as np
 import seaborn as sns
 
 
-# Set seaborn style for consistent aesthetics
-sns.set_theme(style="whitegrid")
-sns.set_context("talk", font_scale=1.2)
+# 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"
+
+# Configure seaborn theme
+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,
+        "grid.alpha": 0.10,
+        "legend.facecolor": ELEVATED_BG,
+        "legend.edgecolor": INK_SOFT,
+    },
+)
 
-# Data: Create a 2D Gaussian surface with multiple peaks
+# Data: Temperature field across geographic region (application context)
 np.random.seed(42)
-x = np.linspace(-3, 3, 80)
-y = np.linspace(-3, 3, 80)
-X, Y = np.meshgrid(x, y)
+longitude = np.linspace(-180, 180, 80)
+latitude = np.linspace(-90, 90, 80)
+Lon, Lat = np.meshgrid(longitude, latitude)
 
-# Create surface with two Gaussian peaks and a saddle region
-z1 = np.exp(-((X - 1) ** 2 + (Y - 1) ** 2) / 0.8)
-z2 = np.exp(-((X + 1) ** 2 + (Y + 1) ** 2) / 1.2)
-z3 = -0.5 * np.exp(-((X - 0.5) ** 2 + (Y + 0.5) ** 2) / 0.5)
-Z = z1 + z2 + z3
+# Create realistic temperature field with peaks (hot regions) and valleys (cold regions)
+temp1 = 25 * np.exp(-((Lon - 60) ** 2 + (Lat - 30) ** 2) / 1200)
+temp2 = 20 * np.exp(-((Lon + 80) ** 2 + (Lat + 40) ** 2) / 1500)
+temp3 = -15 * np.exp(-((Lon - 40) ** 2 + (Lat - 60) ** 2) / 800)
+Temperature = temp1 + temp2 + temp3 + 10
 
-# Create figure with seaborn styling
-fig, ax = plt.subplots(figsize=(16, 9))
+# Create figure and plot
+fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)
 
-# Create filled contour using seaborn's color palette
+# Create filled contour with viridis colormap
 palette = sns.color_palette("viridis", as_cmap=True)
-levels = np.linspace(Z.min(), Z.max(), 15)
-contourf = ax.contourf(X, Y, Z, levels=levels, cmap=palette)
+levels = np.linspace(Temperature.min(), Temperature.max(), 15)
+contourf = ax.contourf(Lon, Lat, Temperature, levels=levels, cmap=palette)
 
-# Overlay contour lines for precise level identification
-contour_lines = ax.contour(X, Y, Z, levels=levels, colors="white", linewidths=0.5, alpha=0.4)
+# Overlay contour lines for level identification
+contour_lines = ax.contour(Lon, Lat, Temperature, levels=levels, colors=INK_SOFT, linewidths=0.5, alpha=0.3)
 
-# Add colorbar with proper sizing
+# Add colorbar
 cbar = fig.colorbar(contourf, ax=ax, shrink=0.85, pad=0.02)
-cbar.set_label("Intensity", fontsize=20)
-cbar.ax.tick_params(labelsize=16)
+cbar.set_label("Temperature (°C)", fontsize=20, color=INK)
+cbar.ax.tick_params(labelsize=16, colors=INK_SOFT)
 
 # Styling
-ax.set_xlabel("X Coordinate", fontsize=20)
-ax.set_ylabel("Y Coordinate", fontsize=20)
-ax.set_title("contour-filled · seaborn · pyplots.ai", fontsize=24)
-ax.tick_params(axis="both", labelsize=16)
+ax.set_xlabel("Longitude (°E)", fontsize=20, color=INK)
+ax.set_ylabel("Latitude (°N)", fontsize=20, color=INK)
+ax.set_title("contour-filled · seaborn · anyplot.ai", fontsize=24, color=INK)
+ax.tick_params(axis="both", labelsize=16, colors=INK_SOFT)
 ax.set_aspect("equal")
 
-# Remove grid (not appropriate for contour plots)
+# Remove grid
 ax.grid(False)
 
+# Style colorbar ticks
+for label in cbar.ax.get_yticklabels():
+    label.set_color(INK_SOFT)
+
 plt.tight_layout()
-plt.savefig("plot.png", dpi=300, bbox_inches="tight")
+plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG)