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i know we can use say df['col'] >= 1 to return a booleen mask of true/false values for a specific pandas df column, but is there a way to filter for data types?

I'd like to filter out NaN values in a column that has both string and NaN values.

revness
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1 Answers1

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You can find the NaN's with df['col'].isna(). Returns a boolean mask.

jch
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