[Numpy-discussion] np.where and ZeroDivisionError: float division by zero
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： 12.0 12.0 12.0 12.0 12.0 0.0 0.0 0.0 0.0 0.0 12.0 12.0 12.0 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: arch...@mail-archive.com
[Numpy-discussion] Re: New feature
Waiting for answer ___ 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: arch...@mail-archive.com
[Numpy-discussion] Re: New feature
On 25/04/2024 23:16, Alexei Lisitsa wrote: Waiting for answer What kind of answer would you like? I took a look at numpy_list[0] and if it serves your needs, that is great, but I don't think such ndarray generation routines should be added to NumPy until they become more commonly known, used, and "voted" popular. I would suggest you - add some examples to the README[1] to demonstrate its utility. I found I had to drill down to the code[1] to see what it actually does. - make it a stand-alone package and not part of NumPy's code base Matti [0] https://github.com/alessionuovo/mionumpy/tree/list_operations/numpy_extensions [1] https://github.com/alessionuovo/mionumpy/blob/list_operations/numpy_extensions/numpy_list/list_op.py ___ 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: arch...@mail-archive.com
[Numpy-discussion] Re: New feature
Ok, thanks package stand alone I did but how I advertise it? Maybe you as expert can say some thing that is needed , something to develop I want some new experience чт, 25 апр. 2024 г., 23:30 Matti Picus : > On 25/04/2024 23:16, Alexei Lisitsa wrote: > > > Waiting for answer > > > What kind of answer would you like? I took a look at numpy_list[0] and > if it serves your needs, that is great, but I don't think such ndarray > generation routines should be added to NumPy until they become more > commonly known, used, and "voted" popular. I would suggest you > > - add some examples to the README[1] to demonstrate its utility. I found > I had to drill down to the code[1] to see what it actually does. > > - make it a stand-alone package and not part of NumPy's code base > > Matti > > > [0] > > https://github.com/alessionuovo/mionumpy/tree/list_operations/numpy_extensions > > [1] > > https://github.com/alessionuovo/mionumpy/blob/list_operations/numpy_extensions/numpy_list/list_op.py > > ___ > 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: alex123...@gmail.com > ___ 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: arch...@mail-archive.com
[Numpy-discussion] Re: np.where and ZeroDivisionError: float division by zero
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： 12.0 12.0 12.0 12.0 12.0 0.0 > 0.0 0.0 0.0 0.0 12.0 12.0 12.0 > > 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 > ___ 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: arch...@mail-archive.com
