[英]Change Dataframe Column Name by mapping with other Dataframe Column, Python 3.6
I want to change columns name of Dataframe "Data" if column matching with XML_Data['conceptRef'], columns name contains in XML_Data['Dimension_Name_EN']如果列匹配 XML_Data['conceptRef'],列名称包含在 XML_Data['Dimension_Name_EN'] 中,我想更改 Dataframe "Data" 的列名称
Data.columns数据列
Index(['MEASURE', 'INDEX', 'STAGE', 'SOURCE', 'DESTINATION', 'FREQUENCY', 'VALUE', 'DATE'], dtype='object')
XML_Data: XML_数据:
Order codelist conceptRef Dimension_Name_EN
0 1 CL_PPI_SOP_MEASURE MEASURE Measure
1 2 CL_PPI_SOP_INDEX INDEX Index
2 3 CL_PPI_SOP_STAGE STAGE Stage of Production
3 4 CL_PPI_SOP_SOURCE SOURCE Source
4 5 CL_PPI_SOP_DESTINATION DESTINATION Destination
If column ('FREQUENCY', 'VALUE', 'DATE') not present in other dataframe then keep as it is.如果列 ('FREQUENCY', 'VALUE', 'DATE') 不存在于其他数据框中,则保持原样。
Use rename
by dictionary created by zip columns of XML_Data
DataFrame:使用由
XML_Data
DataFrame 的 zip 列创建的字典rename
:
d = dict(zip(XML_Data['conceptRef'], XML_Data['Dimension_Name_EN']))
Data = Data.rename(columns=d)
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