# Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

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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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We hope this article has helped you to resolve the problem. Apart from Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(), check other code Python module-related topics.

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Oliver Innsbruck

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

Jan Emmerson

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

Marie Emmerson

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!

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