Plot CDF + cumulative histogram using Seaborn Python

Question

Is there a way to plot the CDF + cumulative histogram of a Pandas Series in Python using Seaborn only? I have the following:

import numpy as np
import pandas as pd
import seaborn as sns
s = pd.Series(np.random.normal(size=1000))

I know I can plot the cumulative histogram with s.hist(cumulative=True, normed=1) , and I know I can then plot the CDF using sns.kdeplot(s, cumulative=True) , but I want something that can do both in Seaborn, just like when plotting a distribution with sns.distplot(s) , which gives both the kde fit and the histogram. Is there a way?

Answer 1

import numpy as np
import seaborn as sns

x = np.random.randn(200)
kwargs = {'cumulative': True}
sns.distplot(x, hist_kws=kwargs, kde_kws=kwargs)

Answer 2

通过使用cumulative=True和density=True您可以使用matplotlib 获得几乎相同的图。

plt.hist(x,cumulative=True, density=True, bins=30)