plots of all feature distributions by class-CodePudding

I want to plot the distribution of features in my dataset, So I go like this:

import pandas as pd
import numpy as np

x = ['P'] * 250   ['Q'] * 350   ['R'] * 200
y = np.random.randn(800)
df = pd.DataFrame({'Code':x, 'Value':y})

df['Value'].hist(by=df['Code'])

Output:

But I would like to impose the same scaling on axes in both feature plots, so it is easy to compare.

CodePudding user response：

As stated in the docs, use sharey=True:

sharey : bool, default False

In case subplots=True, share y axis and set some y axis labels to invisible.