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