Getting rows where multiple columns are not blank in pandas-CodePudding

I have a table like so

id  col_1 col_2 col_3
101 1     17    12
102       17    
103             4
    2

how do i only records where col_1, col_2, and col_3 are not blank?

Expected output:

id  col_1 col_2 col_3
101 1     17    12

CodePudding user response：

This will select only those rows in the dataframe, where all ['col_1', 'col_2', 'col_3'] are non-empty:

df[df[['col_1', 'col_2', 'col_3']].ne('').all(axis=1)]

CodePudding user response：

here is one way to do it make a list of the blank, nulls etc and then convert the columns that has any of these values into a True/False, and take their sum. you need the rows where sum is zero

df[df.isin ([' ','', np.nan]).astype(int).sum(axis=1).eq(0)]

id  col_1   col_2   col_3
0   101     1   17  12

CodePudding user response：

This can be done using DataFrame.query():

df = df.query(' and '.join([f'{col}!=""' for col in ['col_1','col_2','col_3']]))