Combining two heatmaps in seaborn

MatplotlibPythonData Visualization

To combine two heatmaps in seaborn, we can take the following steps −

Steps

  • Set the figure size and adjust the padding between and around the subplots.

  • Create two Pandas data frames.

  • Create a figure and a set of subplots, ax1 and ax2.

  • Plot the rectangular data as a color-encoded matrix, on ax1 and ax2.

  • Move ticks and ticklabels (if present) to the right of the axes.

  • Keep the width of the padding between subplots minimum, as a fraction of the average axes width.

  • To display the figure, use show() method.

Example

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

df1 = pd.DataFrame(np.random.rand(10, 4), columns=list("ABCD"))
df2 = pd.DataFrame(np.random.rand(10, 4), columns=list("WXYZ"))

fig, (ax1, ax2) = plt.subplots(ncols=2)
fig.subplots_adjust(wspace=0.01)

sns.heatmap(df1, cmap="plasma", ax=ax1, cbar=False)
sns.heatmap(df2, cmap="hot", ax=ax2, cbar=False)

ax2.yaxis.tick_right()

fig.subplots_adjust(wspace=0.001)
plt.show()

Output

It will produce the following output −

raja
Updated on 02-Feb-2022 10:08:49

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