我有多个(超过2个)数据帧我想要合并.它们都共享相同的值列：
In [431]: [x.head() for x in data] Out[431]: [ AvgStatisticData DateTime 2012-10-14 14:00:00 39.335996 2012-10-14 15:00:00 40.210110 2012-10-14 16:00:00 48.282816 2012-10-14 17:00:00 40.593039 2012-10-14 18:00:00 40.952014,AvgStatisticData DateTime 2012-10-14 14:00:00 47.854712 2012-10-14 15:00:00 55.041512 2012-10-14 16:00:00 55.488026 2012-10-14 17:00:00 51.688483 2012-10-14 18:00:00 57.916672,AvgStatisticData DateTime 2012-10-14 14:00:00 54.171233 2012-10-14 15:00:00 48.718387 2012-10-14 16:00:00 59.978616 2012-10-14 17:00:00 50.984514 2012-10-14 18:00:00 54.924745,AvgStatisticData DateTime 2012-10-14 14:00:00 65.813114 2012-10-14 15:00:00 71.397868 2012-10-14 16:00:00 76.213973 2012-10-14 17:00:00 72.729002 2012-10-14 18:00:00 73.196415,....etc
我读到这个连接可以处理多个数据帧,但是我得到：
In [432]: data[0].join(data[1:]) ... Exception: Indexes have overlapping values: ['AvgStatisticData']
我已经尝试传递rsuffix = [“％i”％(i)for i in range(len(data))]加入并仍然得到相同的错误.我可以通过以列名称不重叠的方式构建我的数据列表来解决这个问题,但也许有更好的方法？
解决方法
In [65]: pd.concat(data,axis=1)
Out[65]:
AvgStatisticData AvgStatisticData AvgStatisticData AvgStatisticData
2012-10-14 14:00:00 39.335996 47.854712 54.171233 65.813114
2012-10-14 15:00:00 40.210110 55.041512 48.718387 71.397868
2012-10-14 16:00:00 48.282816 55.488026 59.978616 76.213973
2012-10-14 17:00:00 40.593039 51.688483 50.984514 72.729002
2012-10-14 18:00:00 40.952014 57.916672 54.924745 73.196415
