How to adjust transparency (alpha) in Seaborn pairplot using Matplotlib?

To adjust transparency, i.e., aplha in Seaborn pairplot, we can change the value of alpha.

Steps

• Create a dataframe using Pandas with two keys, col1 and col2.

• Initialize the variable, alpha, for transparency.

• Use pairplot() method to plot pairwise relationships in a dataset. Use df (from step 1), kind="scatter", and set the plot size, edgecolor, facecolor, linewidth and alpha vaues in the arguments.

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

Example

import pandas as pd import seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame({"col1": [1, 3, 5, 7, 1], "col2": [1, 5, 7, 9, 1]}) alpha = 0.75 sns.pairplot(df, kind="scatter", plot_kws=dict(s=100, edgecolor="red", fc='green', linewidth=2.5, alpha=alpha)) plt.show()

Output