seaborn: Selected KDE bandwidth is 0. Cannot estimate density

Question

import pandas as pd
import seaborn as sns

ser_test = pd.Series([1,0,1,4,6,0,6,5,1,3,2,5,1])
sns.kdeplot(ser_test, cumulative=True)

The above code g

Answer 1

you have three options to try

first: showing KDE lumps with the default settings

sns.distplot(ser_test, hist = False, rug = True, rug_kws = {'color' : 'r'})

second: KDE with narrow bandwidth to show individual probability lumps

sns.distplot(ser_test, hist = False, rug = True, rug_kws = {'color' : 'r'}, kde_kws = {'bw' : 1})

third: choosing a different, triangular kernel function (lump shape)

sns.distplot(ser_test, hist = False, rug = True, rug_kws = {'color' : 'r'}, kde_kws = {'bw' : 1.5, 'kernel' : 'tri'})