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

0 vote220 views1 answer
How to create decorator function in django
Python Django
2 votes218 views1 answer
Django setup allowed hosts
Python Django
21 votes180 views1 answer
Python today plus 1 day
Python
0 vote180 views1 answer
ValueError: query data dimension must match training data dimension
Python
-1 vote195 views1 answer
Analyse des fleurs du mal la vision du baudelaire
Python
1 vote181 views6 answers
Insertion sort
Python
9 votes181 views1 answer
Discord.py set activity
Python
0 vote184 views1 answer
Custom attribute selenium
Python
0 vote182 views1 answer
Python read vcf file line by line
Python
0 vote183 views1 answer
Dependency inversion
Python