backend

The truth value of a series is ambiguous. use a.empty, a.bool(), a.item(), a.any() or a.all()

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The truth value of a series is ambiguous. use a.empty, a.bool(), a.item(), a.any() or a.all() The or and and python statements require truth-values. For pandas these are considered ambiguous so you should use “bitwise” | (or) or & (and) operations: result = result[(result[‘var’]>0.25) | (result[‘var’]<-0.25)] These are overloaded for these kind of datastructures to yield the element-wise or (or and). Just to add some more explanation to this statement: … Read more

Django MultiValueDictKeyError error, how do I deal with it

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Django MultiValueDictKeyError error, how do I deal with it Django MultiValueDictKeyError error, how do I deal with it:-  1. Try This:- Use the MultiValueDict’s get method. This is also present on standard dicts and is a way to fetch a value while providing a default if it does not exist. is_private = request.POST.get(‘is_private’, False) Generally, my_var = … Read more

sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype(‘float64’) | valueerror: input contains nan, infinity or a value too large for dtype(‘float64’).

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sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype(‘float64’) | valueerror: input contains nan, infinity or a value too large for dtype(‘float64’). This might happen inside scikit, and it depends on what you’re doing. I recommend reading the documentation for the functions you’re using. You might be using one which … Read more