Matplotlib - Seaborn Integration
How can you combine Seaborn's heatmap with Matplotlib to add a colorbar label 'Intensity'?
How can you combine Seaborn's heatmap with Matplotlib to add a colorbar label 'Intensity'?
hard📝 Application Q9 of 15
Step-by-Step Solution
Solution:
Step 1: Understand colorbar labeling in Seaborn heatmap
Seaborn heatmap accepts cbar_kws dict to customize colorbar, including label.Step 2: Use cbar_kws to set label and display plot
Passing cbar_kws={'label': 'Intensity'} adds the label correctly.Final Answer:
Use sns.heatmap(data, cbar_kws={'label': 'Intensity'}) and plt.show() -> Option CQuick Check:
Colorbar label via cbar_kws in sns.heatmap [OK]
Quick Trick: Use cbar_kws={'label': 'text'} in sns.heatmap() [OK]
Common Mistakes:
- Calling plt.colorbar() separately causing errors
- Using non-existent set_colorbar_label() method
- Adding colorbar before heatmap
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