Anyone has a way to control the degree of translucency of the confidence intervals in seaborn regplot? It's been bugging me (especially for black background plots) for a while and I still could not find anything on that topic.
import pandas as pd
import seaborn as sns
data = pd.DataFrame(np.random.random((100,2)), columns=["x","y"])
sns.regplot('x', 'y', data=data)
You can set the alpha
for the confidence interval band using matplotlib.pyplot.setp
like:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
data = pd.DataFrame(np.random.random((100,2)), columns=["x","y"])
ax = sns.regplot('x', 'y', data=data)
plt.setp(ax.collections[1], alpha=0.2)
Just for reference, If you want to look at elements of a seaborn plot you can use ax.get_children().
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