pandas fill na with value from another column
df['Cat1'].fillna(df['Cat2'])
pandas fill na with value from another column
df['Cat1'].fillna(df['Cat2'])
pandas replace null values with values from another column
#Python
#Col 1 = where you want the values replaced
#Col 2 = where you want to take the values from
df["Col 1"].fillna(df["Col 2"], inplace=True)
python dataframe replace nan with 0
In [7]: df
Out[7]:
0 1
0 NaN NaN
1 -0.494375 0.570994
2 NaN NaN
3 1.876360 -0.229738
4 NaN NaN
In [8]: df.fillna(0)
Out[8]:
0 1
0 0.000000 0.000000
1 -0.494375 0.570994
2 0.000000 0.000000
3 1.876360 -0.229738
4 0.000000 0.000000
how to fill whole column with same value in oandas
In [194]:
df['A'] = 'foo'
df
Out[194]:
A
0 foo
1 foo
2 foo
3 foo
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