Answers for "Fill the missing values(NaN) in column with the mean value of the group the row belongs to"

5

fill missing values in column pandas with mean

df.fillna(df.mean(), inplace=True)
Posted by: Guest on May-20-2020
0

pandas fill nan with mean of the groupby

>>> df
  name  value
0    A      1
1    A    NaN
2    B    NaN
3    B      2
4    B      3
5    B      1
6    C      3
7    C    NaN
8    C      3
>>> df["value"] = df.groupby("name").transform(lambda x: x.fillna(x.mean()))
>>> df
  name  value
0    A      1
1    A      1
2    B      2
3    B      2
4    B      3
5    B      1
6    C      3
7    C      3
8    C      3
Posted by: Guest on March-20-2021

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