I have the following dataframe

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib 
print('matplotlib: {}'.format(matplotlib.__version__))
# 3.5.3

df=pd.DataFrame({'Type': [ 'Sentence', 'Array', 'String', '-','-', 'Sentence', 'Array', 'String', '-','-', 'Sentence'],
                 'Length': [42,21,11,6,6,42,21,11,6,6,42],
                 'label': [1,1,0,0,0,1,1,0,0,0,1],
                 })
print(df)
#       Type     Length  label
#0   Sentence      42      1
#1      Array      21      1
#2     String      11      0
#3          -       6      0
#4          -       6      0
#5   Sentence      42      1
#6      Array      21      1
#7     String      11      0
#8          -       6      0
#9          -       6      0
#10  Sentence      42      1

I want to plot stacked bar chart for the arbitrary column within dataframe (either numerical e.g. Length column or

CodePudding user response：

• The values in Expected output do not match df in the OP, so the sample DataFrame has been updated.

• Plot with

  DataFrame Views

  df

          Type  Length  label
  0   Sentence      42      1
  1      Array      21      1
  2     String      11      0
  3          -       6      0
  4          -       6      0
  5   Sentence      42      1
  6      Array      21      1
  7     String      11      0
  8          -       6      0
  9          -       6      1
  10  Sentence      42      0
  

  dfp

  label       0    1
  Type              
  -         3.0  1.0
  Array     NaN  2.0
  Sentence  1.0  2.0
  String    2.0  NaN
  

  total

  Type
  -           4.0
  Array       2.0
  Sentence    3.0
  String      2.0
  dtype: float64
  

  per

  label          0       1
  Type                    
  -          75.00   25.00
  Array        NaN  100.00
  Sentence   33.33   66.67
  String    100.00     NaN