How can I create a heatmap using Seaborn?
You can create a heatmap in Seaborn using the heatmap()
function. First, ensure you have your data in a suitable format, like a Pandas DataFrame.
What kind of data works best for a heatmap?
Heatmaps are great for visualizing matrix-like data, such as correlation matrices or any 2D data where you want to show the intensity of values.
Can I customize the colors in the heatmap?
Yes, you can customize colors using the cmap
parameter in the heatmap()
function. Seaborn offers several built-in color palettes.
How do I add labels to the axes?
You can add axis labels using the xlabel
and ylabel
functions from Matplotlib after creating the heatmap.
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