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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.