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Having issue filtering my result dataframe with an or
condition. I want my result df
to extract all column var
values that are above 0.25 and below -0.25.
This logic below gives me an ambiguous truth value however it work when I split this filtering in two separate operations. What is happening here? not sure where to use the suggested a.empty(), a.bool(), a.item(),a.any() or a.all()
.
result = result[(result["var"] > 0.25) or (result["var"] < -0.25)]
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- Italiano Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
- Deutsch Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
- Français Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
- Español Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
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- Português Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
- Polski Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
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- 中文 Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
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Paris | 2023-03-22
Simply put and clear. Thank you for sharing. Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() and other issues with code Python module was always my weak point 😁. I just hope that will not emerge anymore
Milan | 2023-03-22
Maybe there are another answers? What Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() exactly means?. Will get back tomorrow with feedback
Texas | 2023-03-22
re Python module is always a bit confusing 😭 Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() is not the only problem I encountered. Checked yesterday, it works!