On Wednesday, 11 April 2018 21:19:44 UTC+2, José María Mateos wrote:
> On Wed, Apr 11, 2018, at 14:48, zlj...com wrote:
> > I have a dataframe:
> > [...]
>
> This seems to work:
>
> df1 = pd.DataFrame( { 'A' : ['a', 'b', '', None, np.nan],
> 'B' : [None, np.nan, 'a',
> 'b', '']})
> df1['C'] = df1[['A', 'B']].apply(lambda x: x[0] if x[1] in [None, '', np.nan]
> else x[1], axis = 1)
>
> Two notes:
>
> - Do apply() on axis = 1, so you process every row.
> - You lambda function wasn't entirely correct, if I understood what you
> wanted to do.
>
> Cheers,
>
> --
> José María (Chema) Mateos
> https://rinzewind.org/blog-es || https://rinzewind.org/blog-en
Thanks Jose, this what I needed. Thanks also to all others.
Regards.
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