pandas DataFrame：將nan值替換為對應列的中值

Question

我的 pd dataframe 中有一些 NaN 值，我希望用列的中值替換它們。 我知道這非常類似於： pandas DataFrame: replace nan values with average of columns

但是，當我嘗試等效時：

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

我收到以下錯誤：

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

任何建議表示贊賞。 謝謝

Answer 1

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