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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
Updated on: 08-May-2021
4K+ Views
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