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'
On Apr 11, 2018 20:52, zljubi...@gmail.com wrote:
>
> I have a dataframe:
>
> import pandas as pd
> import numpy as np
>
> df = pd.DataFrame( { 'A' : ['a', 'b', '', None, np.nan],
> 'B' : [None, np.nan, 'a', 'b', '']})
>
> A B
> 0 a None
> 1 b NaN
> 2
On Wednesday, April 11, 2018 at 2:49:01 PM UTC-4, zlju...@gmail.com wrote:
> I have a dataframe:
>
> import pandas as pd
> import numpy as np
>
> df = pd.DataFrame( { 'A' : ['a', 'b', '', None, np.nan],
> 'B' : [None, np.nan, 'a', 'b', '']})
>
> A B
> 0 a
On Wed, Apr 11, 2018, at 14:48, zljubi...@gmail.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
I have a dataframe:
import pandas as pd
import numpy as np
df = pd.DataFrame( { 'A' : ['a', 'b', '', None, np.nan],
'B' : [None, np.nan, 'a', 'b', '']})
A B
0 a None
1 b NaN
2 a
3 None b
4 NaN
I would like to create column C in
