feat(seaborn): implement radar-basic (#5543)

## Implementation: `radar-basic` - python/seaborn

Implements the **python/seaborn** version of `radar-basic`.

**File:** `plots/radar-basic/implementations/python/seaborn.py`

**Parent Issue:** #744

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/25121287681)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>

Author: github-actions[bot]

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

@@ -1,75 +1,96 @@
-""" pyplots.ai
+""" anyplot.ai
 radar-basic: Basic Radar 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: 86/100 | Updated: 2026-04-29
 """
 
+import os
+
 import matplotlib.pyplot as plt
 import numpy as np
-import pandas as pd
 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"
+
+OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00", "#56B4E9", "#F0E442"]
+
+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": 0.15,
+        "legend.facecolor": ELEVATED_BG,
+        "legend.edgecolor": INK_SOFT,
+    },
+)
+
 # Data - Employee performance comparison across competencies
 categories = ["Communication", "Technical Skills", "Teamwork", "Leadership", "Problem Solving", "Creativity"]
 employee_a_values = [85, 90, 75, 70, 88, 82]  # Senior Developer
 employee_b_values = [78, 65, 92, 85, 72, 75]  # Team Lead
 
-# Setup for radar chart
 n_vars = len(categories)
 angles = np.linspace(0, 2 * np.pi, n_vars, endpoint=False).tolist()
 angles += angles[:1]  # Close the polygon
 
-# Close the polygons
 employee_a = employee_a_values + employee_a_values[:1]
 employee_b = employee_b_values + employee_b_values[:1]
 
-# Create DataFrame for seaborn plotting
-df = pd.DataFrame(
-    {
-        "Category": categories * 2,
-        "Score": employee_a_values + employee_b_values,
-        "Employee": ["Senior Developer"] * n_vars + ["Team Lead"] * n_vars,
-        "angle": (angles[:-1] * 2),
-    }
-)
-
-# Apply seaborn styling with context for proper scaling
-sns.set_theme(style="whitegrid", context="poster", font_scale=1.2)
-palette = sns.color_palette("colorblind", 2)
-
-# Create square figure for radar chart (3600x3600 at 300 dpi = 12x12 inches)
-fig, ax = plt.subplots(figsize=(12, 12), subplot_kw={"projection": "polar"})
+# Plot - square canvas for symmetric radar chart (3600x3600 at 300 dpi)
+fig, ax = plt.subplots(figsize=(12, 12), subplot_kw={"projection": "polar"}, facecolor=PAGE_BG)
+ax.set_facecolor(PAGE_BG)
 
-# Use seaborn scatterplot for data points on the polar axes
-sns.scatterplot(data=df, x="angle", y="Score", hue="Employee", palette=palette, s=400, ax=ax, legend=False, zorder=5)
+color_a = OKABE_ITO[0]  # #009E73 - Senior Developer (first series)
+color_b = OKABE_ITO[1]  # #D55E00 - Team Lead
 
-# Draw filled polygons and lines (matplotlib needed for fill and closed polygon)
-color_senior = palette[0]
-color_lead = palette[1]
+ax.fill(angles, employee_a, alpha=0.25, color=color_a)
+ax.plot(angles, employee_a, color=color_a, linewidth=3.5, label="Senior Developer")
+ax.scatter(angles[:-1], employee_a_values, color=color_a, s=150, zorder=5)
 
-ax.fill(angles, employee_a, alpha=0.25, color=color_senior)
-ax.plot(angles, employee_a, color=color_senior, linewidth=4, label="Senior Developer")
+ax.fill(angles, employee_b, alpha=0.25, color=color_b)
+ax.plot(angles, employee_b, color=color_b, linewidth=3.5, label="Team Lead")
+ax.scatter(angles[:-1], employee_b_values, color=color_b, s=150, zorder=5)
 
-ax.fill(angles, employee_b, alpha=0.25, color=color_lead)
-ax.plot(angles, employee_b, color=color_lead, linewidth=4, label="Team Lead")
-
-# Configure axes with larger tick labels
+# Style axes
 ax.set_xticks(angles[:-1])
-ax.set_xticklabels(categories, fontsize=22, fontweight="medium")
+ax.set_xticklabels(categories, fontsize=20, color=INK, fontweight="medium")
 ax.set_ylim(0, 100)
 ax.set_yticks([20, 40, 60, 80, 100])
-ax.set_yticklabels(["20", "40", "60", "80", "100"], fontsize=18, color="gray")
-
-# Style grid
-ax.grid(True, alpha=0.3, linestyle="-", linewidth=1.5)
-ax.spines["polar"].set_visible(False)
-
-# Title with proper padding
-ax.set_title("radar-basic · seaborn · pyplots.ai", fontsize=28, fontweight="bold", pad=35)
-
-# Legend positioned inside the plot area for better balance
-ax.legend(loc="upper right", fontsize=18, framealpha=0.95, edgecolor="lightgray", fancybox=True)
+ax.set_yticklabels(["20", "40", "60", "80", "100"], fontsize=16, color=INK_SOFT)
+
+# Grid and spines
+grid_alpha = 0.20 if THEME == "light" else 0.25
+ax.grid(True, alpha=grid_alpha, linestyle="-", linewidth=1.2, color=INK_SOFT)
+ax.spines["polar"].set_color(INK_SOFT)
+ax.spines["polar"].set_alpha(0.4)
+
+# Title
+ax.set_title("radar-basic · seaborn · anyplot.ai", fontsize=26, fontweight="medium", color=INK, pad=40)
+
+# Legend
+legend = ax.legend(
+    loc="upper right",
+    bbox_to_anchor=(1.35, 1.15),
+    fontsize=18,
+    framealpha=0.95,
+    facecolor=ELEVATED_BG,
+    edgecolor=INK_SOFT,
+)
+for text in legend.get_texts():
+    text.set_color(INK)
 
-plt.tight_layout()
-plt.savefig("plot.png", dpi=300, bbox_inches="tight")
+# Save
+plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG)