How do I delete a column that contains only zeros in Pandas?

Question

I currently have a dataframe consisting of columns with 1\'s and 0\'s as values, I would like to iterate through the columns and delete the ones that are made up of only 0\'

Answer 1

In case you'd like a more expressive way of getting the zero-column names so you can print / log them, and drop them, in-place, by their names:

zero_cols = [ col for col, is_zero in ((df == 0).sum() == df.shape[0]).items() if is_zero ]
df.drop(zero_cols, axis=1, inplace=True)

Some break down:

# a pandas Series with {col: is_zero} items
# is_zero is True when the number of zero items in that column == num_all_rows
(df == 0).sum() == df.shape[0])

# a list comprehension of zero_col_names is built from the_series
[ col for col, is_zero in the_series.items() if is_zero ]