pandas DataFrame：将nan值替换为对应列的中值

Question

I have some NaN values in my pd dataframe and I wish to replace them with the median value of the column. I am aware that this is very similar to: pandas DataFrame: replace nan values with average of columns

However when I try the equivalent:

df = df.fillna(df.median())

I get the following error:

Python\Python37\site-packages\pandas\core\generic.py:6287: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  self._update_inplace(new_data)
Python\Python37\site-packages\pandas\core\frame.py:4244: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  **kwargs

Any advice is appreciated. Thanks

Answer 1

Try df.fillna(df.median(axis=1, skipna=True))