feat(seaborn): implement venn-labeled-items (#5373)

## Implementation: `venn-labeled-items` - python/seaborn

Implements the **python/seaborn** version of `venn-labeled-items`.

**File:** `plots/venn-labeled-items/implementations/python/seaborn.py`

**Parent Issue:** #5364

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/24923161796)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/venn-labeled-items/implementations/python/seaborn.py

@@ -0,0 +1,194 @@
+""" anyplot.ai
+venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items
+Library: seaborn 0.13.2 | Python 3.14.4
+Quality: 88/100 | Created: 2026-04-25
+"""
+
+import os
+
+import matplotlib.pyplot as plt
+import pandas as pd
+import seaborn as sns
+from matplotlib.patches import Circle
+
+
+# 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"
+INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
+
+OKABE_GREEN = "#009E73"
+OKABE_ORANGE = "#D55E00"
+OKABE_BLUE = "#0072B2"
+
+sns.set_theme(
+    style="white",
+    rc={
+        "figure.facecolor": PAGE_BG,
+        "axes.facecolor": PAGE_BG,
+        "axes.edgecolor": PAGE_BG,
+        "axes.labelcolor": INK,
+        "text.color": INK,
+        "font.family": "serif",
+    },
+)
+
+# Data
+circles = [
+    {"name": "Overhyped", "color": OKABE_GREEN, "center": (0.00, 0.55)},
+    {"name": "Actually Useful", "color": OKABE_ORANGE, "center": (-0.476, -0.275)},
+    {"name": "Secretly Loved", "color": OKABE_BLUE, "center": (0.476, -0.275)},
+]
+
+zone_items = {
+    "A": ["NFTs", "Metaverse", "Web3"],
+    "B": ["Spreadsheets", "Calculators"],
+    "C": ["Karaoke", "Bob Ross"],
+    "AB": ["Crypto", "ChatGPT"],
+    "AC": ["TikTok", "Pumpkin Spice"],
+    "BC": ["Google Maps", "Dolly Parton", "IKEA Meatballs"],
+    "ABC": ["Sourdough"],
+    "outside": ["Jury Duty"],
+}
+
+zone_centroids = {
+    "A": (0.00, 1.05),
+    "B": (-1.00, -0.62),
+    "C": (1.00, -0.62),
+    "AB": (-0.55, 0.32),
+    "AC": (0.55, 0.32),
+    "BC": (0.00, -0.65),
+    "ABC": (0.00, 0.05),
+    "outside": (-1.95, 1.30),
+}
+
+# Build a long-form items dataframe so we can use seaborn for the marker layer.
+rows = []
+spacing = 0.20
+for zone, labels in zone_items.items():
+    cx, cy = zone_centroids[zone]
+    n = len(labels)
+    start_y = cy + (n - 1) * spacing / 2
+    for i, label in enumerate(labels):
+        rows.append(
+            {
+                "zone": zone,
+                "label": label,
+                "x": cx,
+                "y": start_y - i * spacing,
+                "is_outside": zone == "outside",
+                "is_triple": zone == "ABC",
+            }
+        )
+items_df = pd.DataFrame(rows)
+
+# Plot — square canvas suits the symmetric Venn layout
+fig, ax = plt.subplots(figsize=(12, 12), facecolor=PAGE_BG)
+ax.set_facecolor(PAGE_BG)
+ax.set_aspect("equal")
+
+r = 0.85
+for c in circles:
+    ax.add_patch(Circle(c["center"], radius=r, facecolor=c["color"], alpha=0.20, edgecolor=c["color"], linewidth=2.0))
+
+# Subtle focal-point highlight on the triple-overlap zone for editorial emphasis
+ax.add_patch(
+    Circle(
+        zone_centroids["ABC"],
+        radius=0.13,
+        facecolor=INK,
+        alpha=0.05,
+        edgecolor=INK_SOFT,
+        linewidth=0.8,
+        linestyle=(0, (2, 2)),
+    )
+)
+
+# Seaborn scatter layer: small dot markers anchor every item.
+# Different palette + size for the focal triple-overlap zone (DE-03 storytelling).
+regular = items_df[~items_df["is_triple"]]
+triple = items_df[items_df["is_triple"]]
+sns.scatterplot(data=regular, x="x", y="y", color=INK_SOFT, s=18, alpha=0.55, edgecolor="none", legend=False, ax=ax)
+sns.scatterplot(
+    data=triple, x="x", y="y", color=INK, s=44, alpha=0.85, edgecolor=PAGE_BG, linewidth=1.2, legend=False, ax=ax
+)
+
+# Category labels (outside each circle, on the outer side)
+ax.text(
+    0,
+    0.55 + r + 0.06,
+    circles[0]["name"],
+    ha="center",
+    va="bottom",
+    fontsize=24,
+    fontweight="bold",
+    color=circles[0]["color"],
+    clip_on=False,
+)
+ax.text(
+    -1.40,
+    -0.275 - 0.80,
+    circles[1]["name"],
+    ha="right",
+    va="top",
+    fontsize=24,
+    fontweight="bold",
+    color=circles[1]["color"],
+    clip_on=False,
+)
+ax.text(
+    1.40,
+    -0.275 - 0.80,
+    circles[2]["name"],
+    ha="left",
+    va="top",
+    fontsize=24,
+    fontweight="bold",
+    color=circles[2]["color"],
+    clip_on=False,
+)
+
+# Item text labels — slightly above their dot markers
+label_offset = 0.055
+for _, row in items_df.iterrows():
+    is_triple = row["is_triple"]
+    is_outside = row["is_outside"]
+    ax.text(
+        row["x"],
+        row["y"] + label_offset,
+        row["label"],
+        ha="center",
+        va="bottom",
+        fontsize=20 if is_triple else 17,
+        fontweight="bold" if is_triple else "normal",
+        color=INK_MUTED if is_outside else INK,
+        style="italic" if is_outside else "normal",
+        clip_on=False,
+    )
+
+# Hint label for the "outside" stack
+ax.text(
+    -1.95, 1.55, "(outside all)", ha="center", va="bottom", fontsize=14, color=INK_MUTED, style="italic", clip_on=False
+)
+
+# Title (mandatory format) + editorial subtitle
+fig.suptitle("venn-labeled-items · seaborn · anyplot.ai", fontsize=26, fontweight="medium", color=INK, y=0.965)
+fig.text(
+    0.5,
+    0.918,
+    "Tech & Trends — a Chartgeist taxonomy of what we love, use, and overrate",
+    ha="center",
+    va="top",
+    fontsize=18,
+    color=INK_SOFT,
+    style="italic",
+)
+
+ax.set_xlim(-2.35, 2.35)
+ax.set_ylim(-2.05, 1.85)
+ax.axis("off")
+
+plt.savefig(f"plot-{THEME}.png", dpi=200, bbox_inches="tight", facecolor=PAGE_BG)