booleen mask for datatypes using pandas?
You can find the NaN's with df['col'].isna().  Returns a boolean mask.
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.