How to make custom grid lines in Seaborn heatmap?

MatplotlibPythonData Visualization

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

Steps

  • 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.

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((5, 5)), columns=["col1", "col2", "col3", "col4", "col5"])

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

plt.show()

Output

raja
Rishikesh Kumar Rishi
Published on 03-Jun-2021 12:57:05
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