I'm trying to drop columns from a df in which one spec. entry is 0. So in the pic I wont to drop Loan F to Loan P cause the entries in row zero is 0. Can anyone help here? Thx!
To do this, iterate through each column, see if the first row (assume that is where you are looking for the zero) value is equal to 0 and delete that column if true.
for col in df.columns:
if df[col].iloc[0] == 0:
df.drop(col, axis=1, inplace=True)