feat(plotly): implement heatmap-basic

plots/heatmap-basic/implementations/plotly.py

@@ -1,7 +1,7 @@
 """ pyplots.ai
 heatmap-basic: Basic Heatmap
 Library: plotly 6.5.0 | Python 3.13.11
-Quality: 94/100 | Created: 2025-12-14
+Quality: 92/100 | Created: 2025-12-23
 """
 
 import numpy as np

plots/heatmap-basic/metadata/plotly.yaml

@@ -1,17 +1,27 @@
 library: plotly
 specification_id: heatmap-basic
-created: 2025-12-14 09:13:47+00:00
-updated: 2025-12-14 09:13:47+00:00
+created: '2025-12-23T00:46:03Z'
+updated: '2025-12-23T00:49:55Z'
 generated_by: claude-opus-4-5-20251101
-workflow_run: 20205725012
-issue: 691
+workflow_run: 20447950554
+issue: 0
 python_version: 3.13.11
 library_version: 6.5.0
 preview_url: https://storage.googleapis.com/pyplots-images/plots/heatmap-basic/plotly/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/heatmap-basic/plotly/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/heatmap-basic/plotly/plot.html
-quality_score: 94
+quality_score: 92
 review:
-  strengths: []
-  weaknesses: []
-  improvements: []
+  strengths:
+  - Excellent text legibility with well-chosen font sizes for all elements
+  - 'Perfect implementation of spec requirements: diverging colormap, cell annotations,
+    and colorbar'
+  - Realistic business scenario with seasonal patterns visible in the data
+  - Clean KISS code structure following plotly library guidelines exactly
+  - Good use of RdBu_r colormap which is colorblind-accessible
+  weaknesses:
+  - Axis labels could be more descriptive (e.g., "Product Category" instead of just
+    "Category")
+  - Colorbar title could include more context (e.g., "Monthly Sales ($K)")
+  - Could leverage additional Plotly features like custom hover templates for enhanced
+    interactivity