update(heatmap-basic): seaborn — comprehensive quality review

Comprehensive quality review: fix weaknesses from prior reviews, preserve strengths, improve quality across all dimensions.

Author: MarkusNeusinger

plots/heatmap-basic/implementations/seaborn.py

@@ -1,7 +1,7 @@
-""" pyplots.ai
+"""pyplots.ai
 heatmap-basic: Basic Heatmap
-Library: seaborn 0.13.2 | Python 3.13.11
-Quality: 93/100 | Created: 2025-12-23
+Library: seaborn 0.13.2 | Python 3.14.3
+Quality: /100 | Updated: 2026-02-15
 """
 
 import matplotlib.pyplot as plt
@@ -24,35 +24,39 @@
 # Clip to valid performance range
 data = np.clip(data, 5, 95)
 
-# Plot - using square format for heatmap
-fig, ax = plt.subplots(figsize=(12, 12))
-sns.heatmap(
+# Plot - clustermap groups similar departments via hierarchical clustering
+cmap = sns.diverging_palette(240, 10, as_cmap=True)
+g = sns.clustermap(
     data,
     annot=True,
     fmt=".0f",
-    cmap="RdBu",
+    cmap=cmap,
     center=50,
     xticklabels=months,
     yticklabels=departments,
     linewidths=1,
     linecolor="white",
-    cbar_kws={"label": "Performance Score", "shrink": 0.75},
-    annot_kws={"fontsize": 16},
-    ax=ax,
+    annot_kws={"fontsize": 14},
+    figsize=(16, 10),
+    row_cluster=True,
+    col_cluster=False,
+    dendrogram_ratio=0.08,
+    cbar_pos=None,
     vmin=0,
     vmax=100,
 )
 
-# Style
-ax.set_xlabel("Month", fontsize=20)
-ax.set_ylabel("Department", fontsize=20)
-ax.set_title("heatmap-basic · seaborn · pyplots.ai", fontsize=24, pad=20)
-ax.tick_params(axis="both", labelsize=16)
-
-# Adjust colorbar label size
-cbar = ax.collections[0].colorbar
+# Colorbar with proper placement
+sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(0, 100))
+cbar = g.fig.colorbar(sm, ax=g.ax_heatmap, location="right", shrink=0.7, pad=0.12)
+cbar.set_label("Performance Score", fontsize=18)
 cbar.ax.tick_params(labelsize=14)
-cbar.ax.set_ylabel("Performance Score", fontsize=18)
 
-plt.tight_layout()
+# Style
+g.ax_heatmap.set_xlabel("Month", fontsize=20)
+g.ax_heatmap.set_ylabel("")
+g.ax_heatmap.tick_params(axis="x", labelsize=16)
+g.ax_heatmap.tick_params(axis="y", labelsize=16, rotation=0)
+g.fig.suptitle("heatmap-basic · seaborn · pyplots.ai", fontsize=24, y=1.02)
+
 plt.savefig("plot.png", dpi=300, bbox_inches="tight")

plots/heatmap-basic/metadata/seaborn.yaml

@@ -1,16 +1,16 @@
 library: seaborn
 specification_id: heatmap-basic
 created: '2025-12-23T00:46:00Z'
-updated: '2025-12-23T00:49:07Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-15T21:25:00+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20447949053
 issue: 0
-python_version: 3.13.11
+python_version: 3.14.3
 library_version: 0.13.2
 preview_url: https://storage.googleapis.com/pyplots-images/plots/heatmap-basic/seaborn/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/heatmap-basic/seaborn/plot_thumb.png
 preview_html: null
-quality_score: 93
+quality_score: null
 impl_tags:
   dependencies: []
   techniques:

plots/heatmap-basic/specification.md

@@ -23,4 +23,4 @@ A heatmap displaying values in a matrix format using color intensity. Each cell'
 - Use a diverging colormap for data with positive/negative values
 - Add value annotations in cells when readable
 - Include a colorbar legend
-- Consider clustering rows/columns for better pattern visibility
+- Order rows/columns logically (alphabetical, by magnitude, or by similarity)

plots/heatmap-basic/specification.yaml

@@ -6,7 +6,7 @@ title: Basic Heatmap
 
 # Specification tracking
 created: 2025-12-14T09:02:34Z
-updated: 2025-12-14T09:02:34Z
+updated: 2026-02-15T12:00:00Z
 issue: 691
 suggested: MarkusNeusinger
 
@@ -18,6 +18,7 @@ tags:
   data_type:
     - numeric
     - categorical
+    - matrix
   domain:
     - statistics
     - general