Pandas Data frame counting how many times certain value appears in column if and only if other columns meet certain condition

Question

I need help with pandas data frame. Trying to count all rows with a '1' value under particular column A if and only if other columns B,C,D,E,F,G are NOT blank. Any ideas?

Answer 1

Assuming you have a pandas data frame df with columns ABCDEFG

df_modified=df.dropna(subset = ['A', 'B', 'C', 'D', 'E', 'F', 'G']) #filter out rows that have NA in the listed columns
df_modified['A'].value_counts() #count the rows