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()