Warning: invalid value encountered in double_scalars in Numpy

To solve Warning: invalid value encountered in double_scalars in Numpy error follow below methods.

ERROR LOG

Warning: invalid value encountered in double_scalars

How to solve Warning: invalid value encountered in double_scalars in Numpy ?

This issue is sometimes caused by NaN or null values in data when using Numpy. If you’re importing data from a CSV file or something similar and then using numpy arrays to manipulate it, the issue could have started with the data intake. You may pass a small collection of data with known values to your function and check if you get the same result.

Steps to fix Warning: invalid value encountered in double_scalars in Numpy ?

Arithmetic operations such as division and multiplication generate this mistake when NaN is not equal to NaN.

There are a few things you may take to avoid this issue:

1. Use pd.set_option to set the number of decimals to consider in your analysis so that an infinite small number does not cause a similar difficulty.
2. Panda will ignore the leftover digits if you use df.round() to round the data. Furthermore, and most significantly,
3. Set NaN to zero by using df=df.fillna(0). If Filling NaN with zero does not apply to your data sets, be aware that the record will be treated as zero, changing the N in the mean, std, and so on.

Hope the above solution works.

Also read :

TypeError: argument of type ‘int’ is not iterable
DatabaseError: current transaction is aborted commands ignored until end of transaction block