Get data from Seaborn distplot

Question

I use

sns.distplot 

to build a one-dimensional distribution of observations. However, I need not only a graph, but also data points. How to get data points from matplotlib axes (returned by distplot)?

Answer 1

You can use the matplotlib.patches API . For example, to get the first row:

 sns.distplot(x).get_lines()[0].get_data() 

This returns two empty arrays containing the x and y values ​​for the string.

For bars, information is stored in:

 sns.distplot(x).patches 

You can access the height of the bar using the patches.get_height() function:

 [h.get_height() for h in sns.distplot(x).patches] 

Answer 2

If you want to get the kde values ​​of the histogram, you can use the scikit-learn KernelDensity function instead:

 import numpy as np import pandas as pd from sklearn.neighbors import KernelDensity ds=pd.read_csv('data-to-plot.csv') X=ds.loc[:,'Money-Spent'].values[:, np.newaxis] kde = KernelDensity(kernel='gaussian', bandwidth=0.75).fit(X) #you can supply a bandwidth #parameter. x=np.linspace(0,5,100)[:, np.newaxis] log_density_values=kde.score_samples(x) density=np.exp(log_density) array([1.88878660e-05, 2.04872903e-05, 2.21864649e-05, 2.39885206e-05, 2.58965064e-05, 2.79134003e-05, 3.00421245e-05, 3.22855645e-05, 3.46465903e-05, 3.71280791e-05, 3.97329392e-05, 4.24641320e-05, 4.53246933e-05, 4.83177514e-05, 5.14465430e-05, 5.47144252e-05, 5.81248850e-05, 6.16815472e-05, 6.53881807e-05, 6.92487062e-05, 7.32672057e-05, 7.74479375e-05, 8.17953578e-05, 8.63141507e-05, .......................... .......................... 3.93779919e-03, 4.15788216e-03, 4.38513011e-03, 4.61925890e-03, 4.85992626e-03, 5.10672757e-03, 5.35919187e-03, 5.61677855e-03])