Question

我有多列多数据集说出data1：-

datetime              ch1[d1]   ch2[d1] ......
2019-07-27 16:40:28    20        21
2019-07-27 16:41:28    22        13
2019-07-27 16:42:28    12        21
.
.
.
.

data2：-

datetime              ch1[d2] .....
2019-07-27 16:43:28    20    
2019-07-27 16:44:28    22    
2019-07-27 16:45:28    12  
.
.
.
.

最终数据：-

datetime              ch1[d1]   ch2[d1]  ch1[d1] ......
2019-07-27 16:40:28    20         21      nan
2019-07-27 16:41:28    22         13      nan
2019-07-27 16:42:28    12         21      nan
2019-07-27 16:43:28    nan        nan     20
2019-07-27 16:44:28    nan        nan     22
2019-07-27 16:45:28    nan        nan     12
.
.
.
.

关于如何实现这一目标的任何建议，我正在使用Java作为编程语言，或者使用任何可能有用的第三方实用程序。

Answer 1

如上面的评论所述，您可以使用外部联接来完成您要执行的操作：

data1 = pd.DataFrame({"datetime": ["2019-07-27 16:40:28", "2019-07-27 16:41:28", "2019-07-27 16:42:28"], 
                  "ch1d1": [20, 22, 12], 
                  "ch2d1": [21, 13, 21]})
data1 = data1.set_index("datetime")
data1

                     ch1d1   ch2d1
datetime        
2019-07-27 16:40:28     20      21
2019-07-27 16:41:28     22      13
2019-07-27 16:42:28     12      21

data2 = pd.DataFrame({"datetime": ["2019-07-27 16:43:28", "2019-07-27 16:44:28", "2019-07-27 16:45:28"], 
                  "ch1d2": [20, 22, 12]})
data2 = data2.set_index("datetime")
data2

                     ch1d2
datetime    
2019-07-27 16:43:28     20
2019-07-27 16:44:28     22
2019-07-27 16:45:28     12

data1.join(data2, how = "outer")

                       ch1d1    ch2d1   ch1d2
 datetime           
2019-07-27 16:40:28     20.0    21.0    NaN
2019-07-27 16:41:28     22.0    13.0    NaN
2019-07-27 16:42:28     12.0    21.0    NaN
2019-07-27 16:43:28     NaN     NaN     20.0
2019-07-27 16:44:28     NaN     NaN     22.0
2019-07-27 16:45:28     NaN     NaN     12.0

合并两个时间序列数据并同步日期时间？

1 个答案: