pandas 在熊猫中合并几个数据透视表
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/32092169/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
提示：将鼠标放在中文语句上可以显示对应的英文。显示中英文
时间：2020-09-13 23:47:10 来源:igfitidea点击:
merge few pivot tables in pandas
提问by K.Palyanichka
How I can merge two pandas pivot tables? When I try run my code I have error: keyerror
如何合并两个Pandas数据透视表？当我尝试运行我的代码时出现错误：keyerror
data_pivot= pandas.DataFrame(data.pivot_table(values = 'NR_ACTIONS', index=["HOUR", "OPID", "NAME"], columns='CONTACTED_PERSON_NEW', aggfunc='sum')) data_pivot.fillna(0, inplace=True) data2_pivot= pandas.DataFrame(data2.pivot_table(values = 'AMOUNT_PA', index=["HOUR", "OPID", "NAME"], columns='PA_TYPE', aggfunc='sum')) data2_pivot.fillna(0, inplace=True) all_data = pandas.merge(data_pivot, data2_pivot, 'left', on = ["HOUR", "OPID", "NAME"] )
data_pivot= pandas.DataFrame(data.pivot_table(values = 'NR_ACTIONS', index=["HOUR", "OPID", "NAME"], columns='CONTACTED_PERSON_NEW', aggfunc='sum')) data_pivot.fillna(0, inplace=True) data2_pivot= pandas.DataFrame(data2.pivot_table(values = 'AMOUNT_PA', index=["HOUR", "OPID", "NAME"], columns='PA_TYPE', aggfunc='sum')) data2_pivot.fillna(0, inplace=True) all_data = pandas.merge(data_pivot, data2_pivot, 'left', on = ["HOUR", "OPID", "NAME"] )
回答by K.Palyanichka
answer for my question is :
我的问题的答案是：
data_pivot= pandas.DataFrame(data.pivot_table(values = 'NR_ACTIONS', index=["HOUR", "OPID", "NAME"], columns='CONTACTED_PERSON_NEW', aggfunc='sum'))
data_pivot.fillna(0, inplace=True)
data_pivot.reset_index( inplace=True)
data2_pivot= pandas.DataFrame(data2.pivot_table(values = 'AMOUNT_PA', index=["HOUR", "OPID", "NAME"], columns='PA_TYPE', aggfunc='sum'))
data2_pivot.fillna(0, inplace=True)
data2_pivot.reset_index( inplace=True)
all_data = pandas.merge(data_pivot, data2_pivot, 'left', on = ["HOUR", "OPID", "NAME"] )
