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I have a column with some ints and some null values in a pandas dataframe. How do I replace the ints with the float values from another column (by same row), but leave all the nulls?
Need exact columns and df to be sure, but can you try this:
df.loc[df['ints'].notnull(),'ints'] = df['floats']
where df is your dataframe, ints is the integer column and floats is the float column.
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