Python 通过与另一个dataDrame映射来更改列名
我已经导入了包含14列的csv文件&我想重命名一个数据框中的所有列名“columnNameDF” 来源数据:Python 通过与另一个dataDrame映射来更改列名,python,pandas,dataframe,Python,Pandas,Dataframe,我已经导入了包含14列的csv文件&我想重命名一个数据框中的所有列名“columnNameDF” 来源数据: Column1,Column2,Column3,Column4,Column5,Column6,Column7,Column8,Column9,Column10,Column11,Column12,Column13,Column14 1,2,3,4,5,6,7,8,9,10,11,12,13,14 columnNameDF中存储的列重命名 SourceColumns Rename
Column1,Column2,Column3,Column4,Column5,Column6,Column7,Column8,Column9,Column10,Column11,Column12,Column13,Column14
1,2,3,4,5,6,7,8,9,10,11,12,13,14
columnNameDF中存储的列重命名
SourceColumns Rename
Column1 Snapshot Date
Column2 Quarter End
Column3 Year End
Column4 RIA Ownership Type
Column5 Age Bracket
Column6 Gender
Column7 Channel Type
Column8 Exclude Non Producers
Column9 Firm
Column10 Firm Type
Column11 License
Column12 Retail BD Type
Column13 Retail BD Primary Type
Column14 Years A Rep
预期产出:
Snapshot Date,Quarter End,Year End,RIA Ownership Type,Age Bracket,Gender,Channel Type,Exclude Non Producers,Firm,Firm Type,License,Retail BD Type,Retail BD Primary Type,Years A Rep
1,2,3,4,5,6,7,8,9,10,11,12,13,1
如何重命名单个脚本中的所有列?
我想用它来表示500+个csv文件和源文件列的顺序不一样
df
SourceColumns Rename
0 Column1 Snapshot Date
1 Column2 Quarter End
2 Column3 Year End
3 Column4 RIA Ownership Type
4 Column5 Age Bracket
5 Column6 Gender
6 Column7 Channel Type
7 Column8 Exclude Non Producers
8 Column9 Firm
9 Column10 Firm Type
10 Column11 License
11 Column12 Retail BD Type
12 Column13 Retail BD Primary Type
13 Column14 Years A Rep
df2
Column1 Column2 Column3 Column4 Column5 Column6 Column7 Column8 \
0 1 2 3 4 5 6 7 8
Column9 Column10 Column11 Column12 Column13 Column14
0 9 10 11 12 13 14
对具有列映射的列使用
df。重命名:
df2 = df2.rename(columns=df.set_index('SourceColumns')['Rename'].to_dict())
df2
Snapshot Date Quarter End Year End RIA Ownership Type Age Bracket \
0 1 2 3 4 5
Gender Channel Type Exclude Non Producers Firm Firm Type License \
0 6 7 8 9 10 11
Retail BD Type Retail BD Primary Type Years A Rep
0 12 13 14
在0.21.0版中:
输出:
Snapshot Date Quarter End Year End RIA Ownership Type Age Bracket \
0 1 2 3 4 5
Gender Channel Type Exclude Non Producers Firm Firm Type License \
0 6 7 8 9 10 11
Retail BD Type Retail BD Primary Type Years A Rep
0 12 13 14
@欢迎光临!如果有帮助,不要忘记投票和接受。
Snapshot Date Quarter End Year End RIA Ownership Type Age Bracket \
0 1 2 3 4 5
Gender Channel Type Exclude Non Producers Firm Firm Type License \
0 6 7 8 9 10 11
Retail BD Type Retail BD Primary Type Years A Rep
0 12 13 14