Plotting a heatmap for 3 columns in Python with Seaborn

To plot a heatmap for 3 columns in Python with Seaborn, we can take the following steps −

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

  • Create a dataframe, df, with 3 columns.

  • Plot the rectangular data as a color-encoded matrix.

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


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

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

df = pd.DataFrame(np.random.random((3, 3)), columns=["a", "b", "c"])

sns.heatmap(df, cbar=False)


Updated on: 10-Aug-2021


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