Ankvis :
I got the output but trying to find a more efficient way to do this:
(df['budget'] == 0).sum(), (df['revenue'] == 0).sum(),(df['budget_adj'] == 0).sum(), (df['revenue_adj'] == 0).sum()
Output is
(5674, 5993, 5676, 5993)
Willem Van Onsem :
You can compare the columns in bulk and sum these up column-wise:
(df[['budget', 'revenue', 'budget_adj', 'revenue_adj']] == 0).sum(axis=0)
Guess you like
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