feat(seaborn): implement bar-sorted (#2560)

## Implementation: `bar-sorted` - seaborn

Implements the **seaborn** version of `bar-sorted`.

**File:** `plots/bar-sorted/implementations/seaborn.py`

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20593348231)*

---------

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

Author: github-actions[bot]

plots/bar-sorted/implementations/seaborn.py

@@ -0,0 +1,63 @@
+""" pyplots.ai
+bar-sorted: Sorted Bar Chart
+Library: seaborn 0.13.2 | Python 3.13.11
+Quality: 93/100 | Created: 2025-12-30
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import seaborn as sns
+
+
+# Data - Product sales data sorted by revenue
+np.random.seed(42)
+products = [
+    "Electronics",
+    "Clothing",
+    "Home & Garden",
+    "Sports",
+    "Books",
+    "Toys",
+    "Beauty",
+    "Automotive",
+    "Food & Grocery",
+    "Pet Supplies",
+]
+sales = np.array([450, 380, 320, 275, 240, 210, 185, 150, 120, 95])
+
+# Create DataFrame and sort by value (descending)
+df = pd.DataFrame({"Product Category": products, "Sales (thousands $)": sales})
+df = df.sort_values("Sales (thousands $)", ascending=False)
+
+# Create plot (4800x2700 px = 16x9 at 300 dpi)
+fig, ax = plt.subplots(figsize=(16, 9))
+
+# Horizontal bar chart for better label readability
+sns.barplot(
+    data=df,
+    y="Product Category",
+    x="Sales (thousands $)",
+    hue="Product Category",
+    palette=["#306998"] * len(df),
+    legend=False,
+    ax=ax,
+    orient="h",
+)
+
+# Add value labels on bars
+for i, value in enumerate(df["Sales (thousands $)"]):
+    ax.text(value + 5, i, f"${value}k", va="center", fontsize=14, color="#333333")
+
+# Styling
+ax.set_xlabel("Sales (thousands $)", fontsize=20)
+ax.set_ylabel("Product Category", fontsize=20)
+ax.set_title("bar-sorted · seaborn · pyplots.ai", fontsize=24)
+ax.tick_params(axis="both", labelsize=16)
+ax.grid(True, axis="x", alpha=0.3, linestyle="--")
+
+# Extend x-axis slightly to fit labels
+ax.set_xlim(0, max(sales) * 1.15)
+
+plt.tight_layout()
+plt.savefig("plot.png", dpi=300, bbox_inches="tight")

plots/bar-sorted/metadata/seaborn.yaml

@@ -0,0 +1,26 @@
+library: seaborn
+specification_id: bar-sorted
+created: '2025-12-30T09:30:43Z'
+updated: '2025-12-30T09:37:18Z'
+generated_by: claude-opus-4-5-20251101
+workflow_run: 20593348231
+issue: 0
+python_version: 3.13.11
+library_version: 0.13.2
+preview_url: https://storage.googleapis.com/pyplots-images/plots/bar-sorted/seaborn/plot.png
+preview_thumb: https://storage.googleapis.com/pyplots-images/plots/bar-sorted/seaborn/plot_thumb.png
+preview_html: null
+quality_score: 93
+review:
+  strengths:
+  - Excellent horizontal layout choice for long category labels, following spec recommendation
+  - Value labels positioned cleanly at the end of each bar with proper formatting
+    ($XXXk)
+  - Correct use of seaborn 0.14+ API with hue parameter to avoid deprecation warnings
+  - Clear visual hierarchy with descending sort from largest to smallest
+  - Clean, minimal code following KISS principle
+  - X-axis extended appropriately to prevent label clipping
+  weaknesses:
+  - Uses monochromatic palette instead of seaborn built-in color palettes like colorblind
+    or Blues which could add visual interest
+  - Grid uses dashed linestyle which is slightly more prominent than recommended