I like this particular plot and the ability to pass a function to the stat_func keyword to quickly build and visualize relationships between variables, but there is one thing. How to "turn off" or not build boundary distribution axes?
It looks good, but sometimes I don't need this feature.
For example, using this code:
import numpy as np import seaborn as sns x = (np.arange(100) + np.random.randn(100)*20 y = (np.arange(100) + np.random.randn(100)*20 sns.jointplot(x, y, kind='reg')
How can I remove the kde subnets on the top and right of the main axes?
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