pandas: combine two columns in a DataFrame

Question

I have a pandas DataFrame that has multiple columns in it:

Index: 239897 entries, 2012-05-11 15:20:00 to 2012-06-02 23:44:51
Data columns:
foo           


        

Answer 1

Try this:

pandas.concat([df['foo'].dropna(), df['bar'].dropna()]).reindex_like(df)

If you want that data to become the new column bar, just assign the result to df['bar'].