Python 3.x 在两个excel文件之间使用合并函数而不是vlookup时出错（关键错误）

我正在尝试合并到熊猫中的excel文件

import pandas as pd
import numpy as np
upload_raw = pd.read_excel(r'C:\Users\Desktop\Upload Raw Data.xlsx',
                     sheet_name = 'Upload',
                     header = 0,
                     index_col = 0,
                     )
mapping = pd.read_excel(r'C:\Users\Desktop\Mapping.xlsx',
                     sheet_name = 'Mapping',
                     header = 0,
                     index_col = 0,
                     )
display(upload_raw)
display(mapping)
upload_lookup=upload_raw.merge(mapping,on ='BRANCH',how = 'outer' )
display(upload_lookup)

我继续得到

键error:“BRANCH”

。我检查了所有列的值都是文本。映射文件有3列，而上载文件大约有4列

上传原始数据

BRANCH  DEPT    CREAT_TS    RAF_IND
AA  &CR     2018-06-22-06.48.49.601000   
03  CUE 2018-06-22-11.43.29.859000   
90  T0L 2018-06-22-11.54.52.633000   

映射数据：

BRANCH  UNIT    MASTER
03  MAS CoE
04  NAS ET
05  ET  ET

在错误消息中，这些问题非常突出

 # validate the merge keys dtypes. We may need to coerce

# work-around for merge_asof(right_index=True)
# duplicate columns & possible reduce dimensionality

我如何避免这个问题

我甚至尝试了

left\u on='True'，right\u on='True'

左键='lkey'，右键='rkey'

。我得到错误“rkey未找到”

问候,，

---

Ren.

主要区别似乎是我没有将“BRANCH”设置为索引

此外，映射“BRANCH”作为int64导入，因为示例中只有数字，而upload_raw“BRANCH”作为对象导入

upload_raw = pd.read_excel('data/2018-09-03_data_mapping.xlsx',
                           sheet_name = 'Upload',
                           header = 0)
mapping = pd.read_excel(r'data/2018-09-03_data_mapping.xlsx',
                        sheet_name = 'Mapping',
                        header = 0)
print(upload_raw)

output:
    BRANCH  DEPT    CREAT_TS    RAF_IND
0   AA  &CR 2018-06-22-06.48.49.601000  NaN
1   3   CUE 2018-06-22-11.43.29.859000  NaN
2   90  T0L 2018-06-22-11.54.52.633000  NaN

mapping['BRANCH'] = mapping['BRANCH'].astype('object')

print(mapping)

output:
    BRANCH  UNIT    MASTER
0   3   MAS CoE
1   4   NAS ET
2   5   ET  ET

upload_lookup=pd.merge(left=upload_raw, right=mapping, on='BRANCH')

print(upload_lookup)

output:
    BRANCH  DEPT    CREAT_TS    RAF_IND UNIT    MASTER
0   3   CUE 2018-06-22-11.43.29.859000  NaN MAS CoE

---

谢谢，效果很好。我删除了

index\u col

，但对象类型没有影响它。谢谢你的解决方案