1 import pandas as pd 2 import numpy as np
r = IO ' E: \ Working Paper \ involved in the project \ mob overdue \ fraud basic pieces of information - a copy of the .xlsx ' # original data file path io_th = r ' E: \ Working Paper \ involved in the project \ mob overdue \ Contacts +. XLSX ' # call data file path
= pd.read_excel Data (IO, encoding = ' UTF-. 8 ' , = SHEET_NAME ' sample data ' ) # raw data data_th = pd.read_excel (io_th, encoding = ' UTF-. 8 ' , SHEET_NAME = ' Sheet2 ' ) # Communication recording data data_fx = pd.read_excel (io_th, encoding = ' UTF-. 8 ' , SHEET_NAME = ' Sheet1 ' )
data3=pd.merge(data,data_fx,left_on='pre_apply_no',right_on='pa',how='left') data4=data3.loc[:,['pre_apply_no','总数','贷款类','company_name']] data4.to_excel(r'C:\Users\Hou\Desktop\niubi.xlsx')