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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.
Example
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) plt.show()
Output
Updated on: 10-Aug-2021
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