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如何替换“对象”列中的 nan 值？

[英]How can I replace a nan value in an "object" column?

 Nuro  2023-01-21 22:44:48  39   1    python/ dataframe/ nan/ fillna

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问题描述

How can I replace a nan value in a column which is an 'object', contains other str and ensure it goes into the main df and not just the slice.如何替换作为“对象”的列中的 nan 值，包含其他 str 并确保它进入主 df 而不仅仅是切片。

I have tried this我试过这个

covid_19_df.Country_code.fillna('OT')

but it is still empty但它仍然是空的

 D    Country_code    Country   
 1.   OM              Oman  
 2.   OM              Oman  
 3.                   Other
 4.                   Other 
 5.                   Other

I want it to look like this我希望它看起来像这样

 D    Country_code    Country   
 1.   OM              Oman  
 2.   OM              Oman  
 3.   OT              Other
 4.   OT              Other 
 5.   OT              Other

1 条回复

1楼
 Corralien  0 已采纳  2023-01-21 23:08:45

fillna does not replace inplace by default, you have to save the operation: fillna默认不替换inplace，必须保存操作：

covid_19_df.Country_code = covid_19_df.Country_code.fillna('OT')

If you have empty strings instead NaN , you can replace them by pd.NA :如果您有空字符串而不是NaN ，则可以replace它们替换为pd.NA ：

covid_19_df.Country_code = covid_19_df.Country_code.replace('', pd.NA).fillna('OT')

Output: Output：

>>> covid_19_df
  Country_code Country
0           OM    Oman
1           OM    Oman
2           OT   Other
3           OT   Other
4           OT   Other
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