Load the ‘tips’ dataset. Create a PairGrid which shows a histogram on the diagonal, a scatter plot on the upper triangle, and a kde plot on the lower triangle.
Example Output:
Create a sns.PairGrid
, then use the map_diag
, map_upper
, and map_lower
functions.
import seaborn as sns import matplotlib.pyplot as plt def plot_complex_pairgrid(): tips_data = sns.load_dataset('tips') g = sns.PairGrid(tips_data) g.map_diag(plt.hist) g.map_upper(plt.scatter) g.map_lower(sns.kdeplot) plt.show() plot_complex_pairgrid()
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