'Create a new column in Pandas Dataframe based on the 'NaN' values in another column
I have a dataframe:
A B
1 NaN
2 3
4 NaN
5 NaN
6 7
I want to create a new column C containing the value from B that aren't NaN, otherwise the values from A. This would be a simple matter in Excel; is it easy in Pandas?
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