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How can I modify the width of individual subplots in a seaborn heatmap?

asked 2022-06-02 11:00:00 +0000

bukephalos gravatar image

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answered 2022-03-15 16:00:00 +0000

nofretete gravatar image

You can modify the width of individual subplots in a seaborn heatmap using the subplot_kw parameter of the sns.FacetGrid() function. Here is an example code snippet that demonstrates how to do this:

import seaborn as sns
import numpy as np

# Generate some random data
data = np.random.rand(10, 10)

# Create a FacetGrid with two subplots
grid = sns.FacetGrid(data = None, row = None, col = 2, subplot_kws = {"width_ratios": [1, 2]})

# Create a heatmap for the first subplot
ax1 = grid.axes[0]
sns.heatmap(data, ax = ax1)

# Create a heatmap for the second subplot
ax2 = grid.axes[1]
sns.heatmap(data, ax = ax2)

# Show the plot
plt.show()

In this example, we are creating a FacetGrid with two subplots, and using the width_ratios parameter of the subplot_kw dictionary to specify the relative width of each subplot. The first subplot will be one unit wide, and the second subplot will be two units wide. We then create a heatmap for each subplot by specifying the ax parameter of the sns.heatmap() function to target the appropriate axis object. Finally, we display the plot using the plt.show() function.

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Asked: 2022-06-02 11:00:00 +0000

Seen: 7 times

Last updated: Mar 15 '22