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One way to achieve equal cell sizes in subplots when using seaborn.heatmap is by specifying a fixed size for each cell using the "square" parameter. Setting this parameter to "True" will force each cell to have the same width and height. Additionally, adjusting the figure size and margins can also help ensure that the cells are evenly spaced in the plot.

Here's an example code snippet that shows how to create subplots with equal cell sizes using seaborn.heatmap:

import seaborn as sns
import matplotlib.pyplot as plt

# generate some data
data1 = [[1,2,3],[4,5,6],[7,8,9]]
data2 = [[9,8,7],[6,5,4],[3,2,1]]

# create subplots
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8, 4))

# plot heatmap in each subplot
sns.heatmap(data1, cmap="Greens", ax=axes[0], square=True)
sns.heatmap(data2, cmap="Blues", ax=axes[1], square=True)

# adjust margins and layout
fig.subplots_adjust(left=0.1, right=0.9, bottom=0.1, top=0.9, wspace=0.4, hspace=0.4)

# show the plot
plt.show()

In this example, we create a figure with two subplots using the "subplots" function from matplotlib. Then, we use seaborn.heatmap to create a heatmap in each subplot, using the "ax" parameter to specify the corresponding axis object. We set the "square" parameter to "True" to achieve equal cell sizes.

Finally, we adjust the margins and layout of the figure using the "subplots_adjust" function and show the plot using "plt.show()".