The function np.where just chooses elements from two arrays that are both computed before np.where is even executed. See this StackOverflow answer https://stackoverflow.com/a/29950752/4681187 if you want to suppress the error.
On Thu, Apr 25, 2024 at 8:16 PM 840362492--- via NumPy-Discussion < numpy-discussion@python.org> wrote: > 0 > > In my code, I use the following calculation for a column in the dataframe: > np.where(df_score['number'] ! = 0, 100 - ((100 * df_score[rank_column] > -50)/df_score['number']), None),I have used df_score['number']! = 0, but > the code is still wrong, ZeroDivisionError: float division by zero, even if > I put df_score['number']! = 0 changed to df_score['number'] > 0, why? > > pandas version:1.1.5 numpy version:1.24.4 > > Here are my numbers： 12.00000 12.00000 12.00000 12.00000 12.00000 0.00000 > 0.00000 0.00000 0.00000 0.00000 12.00000 12.00000 12.00000 > > I want to know why it went wrong and what should be done to fix it? Thank > you for your help > _______________________________________________ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: fan...@umich.edu >
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