How to make custom grid lines in Seaborn heatmap?

To make custom grid lines in Seaborn heatmap, we can use linewidths and linecolor values in the heatmap() method.


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

  • Create a Pandas dataframe with 5 columns.

  • Use heatmap() method to 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((5, 5)), columns=["col1", "col2", "col3", "col4", "col5"])

sns.heatmap(df, linewidths=4, linecolor='green')


Updated on: 03-Jun-2021

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