数据多维处理 yongqi

数据多维处理：

import pandas as pd
#多层索引
new_ind=['begin','end','ID']
# df1=pd.read_excel(r'F:\小高天天乐\python_PM\AUTO_DATA\test00100\1.xlsx')
df1=pd.read_excel(r'F:\小高天天乐\python_PM\AUTO_DATA\test00100\1.xlsx').set_index(new_ind)
# df2=pd.read_excel(r'F:\小高天天乐\python_PM\AUTO_DATA\test00100\2.xlsx')
df2=pd.read_excel(r'F:\小高天天乐\python_PM\AUTO_DATA\test00100\2.xlsx').set_index(new_ind)
print(df1)
print('*'*50)
print(df2)
#数据堆叠
stack_df1=pd.DataFrame(df1.stack(),columns=['value_1'])
stack_df2=pd.DataFrame(df2.stack(),columns=['value_2'])
print(stack_df1,stack_df2)
#数据合并
# merge_df=stack_df1.merge(stack_df2,on=new_ind,how='outer')
# merge_df=stack_df1.merge(stack_df2,left_index=True,right_index=True)
merge_df_new=stack_df1.merge(stack_df2,left_index=True,right_index=True)
print(merge_df_new)
#数据比较
merge_df_new['tag']=merge_df_new.apply(lambda f:'正常' if f['value_1']==f['value_2']  else '异常',axis=1)
print(merge_df_new)