pandas 重命名熊猫系列中的某些值
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时间：2020-09-14 03:34:38 来源:igfitidea点击:
rename certain value in pandas series
提问by feedthemachine
I have the following panda Series:
我有以下Pandas系列：
print(df.head())
Country Energy Supply Energy Supply per Capita % Renewable
0 Afghanistan 3.210000e+08 10 78.669280
1 Albania 1.020000e+08 35 100.000000
2 Algeria 1.959000e+09 51 0.551010
3 American Samoa NaN ... 0.641026
4 Andorra 9.000000e+06 121 88.695650
How can I rename Afghanistan to Afghanistan_new? I can set the index:
如何将阿富汗重命名为阿富汗_新？我可以设置索引：
df = df.set_index('Country')
and then try to rename the country the following way:
然后尝试按以下方式重命名国家/地区：
df['Afghanistan'].rename('Afghanistan_renamed')
but it doesn't work.
但它不起作用。
回答by jezrael
You can use if need replace index:
如果需要替换，您可以使用index：
df = df.set_index('Country')
df = df.rename(index={'Afghanistan':'Afghanistan_renamed'})
print (df)
Energy Supply Energy Supply per Capita % Renewable
Country
Afghanistan_renamed 3.210000e+08 10 78.669280
Albania 1.020000e+08 35 100.000000
Algeria 1.959000e+09 51 0.551010
American Samoa NaN ... 0.641026
Andorra 9.000000e+06 121 88.695650
and for replacecolumn:
和replace列：
df['Country'] = df['Country'].replace({'Afghanistan':'Afghanistan_renamed'})
df = df.set_index('Country')
print (df)
Energy Supply Energy Supply per Capita % Renewable
Country
Afghanistan_renamed 3.210000e+08 10 78.669280
Albania 1.020000e+08 35 100.000000
Algeria 1.959000e+09 51 0.551010
American Samoa NaN ... 0.641026
Andorra 9.000000e+06 121 88.695650
