Sort rows of a dataframe in descending order of NaN counts

Question

I\'m trying to sort the following Pandas DataFrame:

         RHS  age  height  shoe_size  weight
0     weight  NaN     0.0        0.0     1.0
1  shoe_size  N         


        

Answer 1

You can add a column of the number of null values, sort by that column, then drop the column. It's up to you if you want to use .reset_index(drop=True) to reset the row count.

df['null_count'] = df.isnull().sum(axis=1)
df.sort_values('null_count', ascending=False).drop('null_count', axis=1)

# returns
         RHS  age  height  shoe_size  weight
1  shoe_size  NaN     0.0        1.0     NaN
0     weight  NaN     0.0        0.0     1.0
2  shoe_size  3.0     0.0        0.0     NaN
3     weight  3.0     0.0        0.0     1.0
4        age  3.0     0.0        0.0     1.0