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 select nan value
#1
I have a dataframe which have 2 columns. They have mutually exclusive nan in the cells. I mean the place where col1 is nan, col2 have some numerical value and vice versa. The situation is shown below

df = pd.DataFrame({"A": [1, 'nan'], "B": ['nan', 2]})
I would like to merge them into single columns with values taken from both,

df = pd.DataFrame({"A": [1, 2]})
Quote
#2
Take a look at the following example:

import pandas as pd
df = pd.DataFrame({"A": [1, pd.np.nan], "B": [pd.np.nan, 2]})
df.loc[df.A.isna(), "C"] = df.B[df.A.isna()]
df.loc[df.B.isna(), "C"] = df.A[df.B.isna()]
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