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[Fixed] ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

Today We are Going To Solve ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() in Python. Here we will Discuss All Possible Solutions and How this error Occurs So let’s get started with this Article.

How to Fix ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Error?

  1. How to Fix ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Error?

    To Fix ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Error just Pass if statement into dataframe. To solve this issue you have to just pass if statement into dataframe brackets and your error will be solved. Try this. df[df['price'] < 1245]

  2. ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

    To Fix ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Error just Use all() function. Just use all() function to get the true value. Just use it like given in below code. I hope this will help you.
    (df['price'] < 1245).all()

Solution 1 : Pass if statement into dataframe

To solve this issue you have to just pass if statement into dataframe brackets and your error will be solved. Try this.

df[df['price'] < 1245]

Solution 2 : Use all() function

Just use all() function to get the true value. Just use it like given in below code. I hope this will help you.

(df['price'] < 1245).all()

Conclusion

So these were all possible solutions to this error. I hope your error has been solved by this article. In the comments, tell us which solution worked? If you liked our article, please share it on your social media and comment on your suggestions. Thank you.

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