Data Cleaning for np.nan values

Here instead of a small 5 unit array say we have a million values of int data with certain values of nan, and we want to mask it, then it would make no sense it giving a mask array of million values also find out each location as to where nan occurs, how would you tackle such datasets?

You can use masked_invalid
Screenshot 2020-07-21 at 5.36.04 PM

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Thank you for the help.