feat(matplotlib): implement cat-box-strip (#6523)

## Implementation: `cat-box-strip` - python/matplotlib

Implements the **python/matplotlib** version of `cat-box-strip`.

**File:** `plots/cat-box-strip/implementations/python/matplotlib.py`

**Parent Issue:** #2695

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/25780220870)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/cat-box-strip/implementations/python/matplotlib.py

@@ -1,13 +1,24 @@
-""" pyplots.ai
+""" anyplot.ai
 cat-box-strip: Box Plot with Strip Overlay
-Library: matplotlib 3.10.8 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-30
+Library: matplotlib 3.10.9 | Python 3.13.13
+Quality: 91/100 | Updated: 2026-05-13
 """
 
+import os
+
 import matplotlib.pyplot as plt
 import numpy as np
 
 
+# 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"
+
+BRAND = "#009E73"  # Okabe-Ito position 1
+
 # Data - Generate groups with different distributions to showcase features
 np.random.seed(42)
 
@@ -31,8 +42,9 @@
 box_data = [data[cat] for cat in categories]
 positions = np.arange(len(categories)) + 1
 
-# Create plot
-fig, ax = plt.subplots(figsize=(16, 9))
+# Plot
+fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)
+ax.set_facecolor(PAGE_BG)
 
 # Box plot
 ax.boxplot(
@@ -41,29 +53,44 @@
     tick_labels=categories,
     widths=0.5,
     patch_artist=True,
-    boxprops={"facecolor": "#306998", "alpha": 0.4, "linewidth": 2},
-    medianprops={"color": "#FFD43B", "linewidth": 3},
-    whiskerprops={"color": "#306998", "linewidth": 2},
-    capprops={"color": "#306998", "linewidth": 2},
-    flierprops={"marker": "o", "markerfacecolor": "#306998", "markersize": 10, "alpha": 0.7},
+    boxprops={"facecolor": BRAND, "alpha": 0.4, "linewidth": 2, "edgecolor": INK_SOFT},
+    medianprops={"color": "#E69F00", "linewidth": 3},
+    whiskerprops={"color": INK_SOFT, "linewidth": 2},
+    capprops={"color": INK_SOFT, "linewidth": 2},
+    flierprops={
+        "marker": "o",
+        "markerfacecolor": BRAND,
+        "markersize": 10,
+        "alpha": 0.7,
+        "markeredgecolor": INK_SOFT,
+        "markeredgewidth": 1,
+    },
 )
 
 # Strip plot overlay - add jittered points
 for pos, cat in zip(positions, categories, strict=True):
     y = data[cat]
     # Jitter x positions
     x = np.random.normal(pos, 0.08, len(y))
-    ax.scatter(x, y, s=100, alpha=0.6, color="#306998", edgecolor="white", linewidth=1, zorder=3)
+    ax.scatter(x, y, s=100, alpha=0.6, color=BRAND, edgecolor=PAGE_BG, linewidth=1, zorder=3)
+
+# Style
+ax.set_xlabel("Treatment Group", fontsize=20, color=INK)
+ax.set_ylabel("Response Value (score)", fontsize=20, color=INK)
+ax.set_title("cat-box-strip · matplotlib · anyplot.ai", fontsize=24, fontweight="medium", color=INK)
+ax.tick_params(axis="both", labelsize=16, colors=INK_SOFT, labelcolor=INK_SOFT)
+
+# Spines
+ax.spines["top"].set_visible(False)
+ax.spines["right"].set_visible(False)
+for s in ("left", "bottom"):
+    ax.spines[s].set_color(INK_SOFT)
 
-# Labels and styling
-ax.set_xlabel("Treatment Group", fontsize=20)
-ax.set_ylabel("Response Value", fontsize=20)
-ax.set_title("cat-box-strip · matplotlib · pyplots.ai", fontsize=24)
-ax.tick_params(axis="both", labelsize=16)
-ax.grid(True, axis="y", alpha=0.3, linestyle="--")
+# Grid
+ax.yaxis.grid(True, alpha=0.15, linewidth=0.8, color=INK)
 
 # Adjust y-axis to show all data including outliers
 ax.set_ylim(0, 100)
 
 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)