Count missing values groupby

CLASS FEATURE1 FEATURE2 FEATURE3
  X      A       NaN      NaN
  X     NaN       A       NaN
  B      A        A        A
  
 df.drop('CLASS', 1).isna().groupby(df.CLASS, sort=False).sum().reset_index()

  CLASS  FEATURE1  FEATURE2  FEATURE3
0     X       1.0       1.0       2.0
1     B       0.0       0.0       0.0

Similar codes

1 vote212 views1 answer
Flask socketio usage
Python Flask
2 votes166 views2 answers
Virtualenv specify python version
Python
0 vote217 views2 answers
How to get value from txtbox in flask
Python Flask
1 vote184 views2 answers
Remove first element from list
Python
0 vote170 views1 answer
ImportError: cannot import name 'get_column_letter' openpyxl
Python
3 votes175 views2 answers
Draw bounding box on image python opencv
Python
0 vote223 views1 answer
How to set and run flask app on terminal
Python Flask
0 vote162 views1 answer
How to slice a set in python
Python
0 vote170 views1 answer
Python loop through files in directory recursively
Python
0 vote201 views1 answer
Taggablemanager serializer django
Python Django