feat(seaborn): implement lollipop-basic (#5442)

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

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

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

**Parent Issue:** #934

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:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/24956781593)*

---------

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

Author: github-actions[bot]

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

@@ -1,15 +1,42 @@
-""" pyplots.ai
+""" anyplot.ai
 lollipop-basic: Basic Lollipop Chart
-Library: seaborn 0.13.2 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-23
+Library: seaborn 0.13.2 | Python 3.14.4
+Quality: 87/100 | Updated: 2026-04-26
 """
 
+import os
+
 import matplotlib.pyplot as plt
 import pandas as pd
 import seaborn as sns
 
 
-# Data - Product sales by category, sorted by value
+# 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
+
+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 - Product sales by category
 categories = [
     "Electronics",
     "Clothing",
@@ -24,32 +51,35 @@
 ]
 values = [85000, 72000, 58000, 45000, 42000, 38000, 35000, 28000, 25000, 18000]
 
-# Create DataFrame and sort by value (ascending for horizontal lollipop)
-df = pd.DataFrame({"category": categories, "value": values})
-df = df.sort_values("value", ascending=True)
+df = pd.DataFrame({"category": categories, "value": values}).sort_values("value", ascending=True)
 
 # Plot
-fig, ax = plt.subplots(figsize=(16, 9))
+fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)
+ax.set_facecolor(PAGE_BG)
 
-# Draw stems (thin lines from baseline to marker)
-ax.hlines(y=df["category"], xmin=0, xmax=df["value"], color="#306998", linewidth=2.5, alpha=0.8)
+# Stems: thin lines from baseline to marker
+ax.hlines(y=df["category"], xmin=0, xmax=df["value"], color=BRAND, linewidth=2.5, alpha=0.85, zorder=2)
 
-# Draw markers (circular dots at data values) using seaborn
+# Markers: circular dots at the data values
 sns.scatterplot(
-    data=df, x="value", y="category", s=400, color="#FFD43B", edgecolor="#306998", linewidth=2, ax=ax, zorder=3
+    data=df, x="value", y="category", s=450, color=BRAND, edgecolor=PAGE_BG, linewidth=2, ax=ax, zorder=3, legend=False
 )
 
-# Styling
-ax.set_xlabel("Sales ($)", fontsize=20)
-ax.set_ylabel("Product Category", fontsize=20)
-ax.set_title("lollipop-basic · seaborn · pyplots.ai", fontsize=24)
-ax.tick_params(axis="both", labelsize=16)
-ax.set_xlim(0, None)
-ax.grid(True, axis="x", alpha=0.3, linestyle="--")
+# Style
+ax.set_xlabel("Sales ($)", fontsize=20, color=INK)
+ax.set_ylabel("Product Category", fontsize=20, color=INK)
+ax.set_title("lollipop-basic · seaborn · anyplot.ai", fontsize=24, fontweight="medium", color=INK, pad=18)
+ax.tick_params(axis="both", labelsize=16, colors=INK_SOFT)
+ax.set_xlim(0, max(values) * 1.08)
+
+ax.xaxis.grid(True, alpha=0.10, linewidth=0.8, color=INK)
+ax.yaxis.grid(False)
+ax.set_axisbelow(True)
 
-# Remove top and right spines for cleaner look
 ax.spines["top"].set_visible(False)
 ax.spines["right"].set_visible(False)
+for s in ("left", "bottom"):
+    ax.spines[s].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)