我有一个df,如下所示:
DateTime ModFlow(cfs) ObsFlow(cfs) ModVol(f3) ObsVol(f3)
Event
Event 1 8/15/2016 15:35 11.85926 0 0.039530867 0
Event 1 8/15/2016 10:05 30.05923 0 0.100197433 0
Event 1 8/15/2016 10:00 31.10118 0 0.1036706 0
Event 1 8/15/2016 9:55 32.17444 0 0.107248133 0
Event 1 8/15/2016 4:10 0.6783166 0.5650155 0.002261055 0.001883385
Event 10 6/23/2016 4:35 0.5573569 0.4814242 0.001857856 0.001604747
Event 10 6/23/2016 4:40 0.5536903 0.3544892 0.001845634 0.001181631
Event 10 6/23/2016 4:45 0.5502114 0.368421 0.001834038 0.00122807
Event 10 6/23/2016 4:50 0.5698021 0.501548 0.00189934 0.001671827
Event 10 6/23/2016 4:55 0.7525368 0.879257 0.002508456 0.002930857
Event 11 6/10/2016 8:05 0.6593155 0.6145511 0.002197718 0.002048504
Event 11 6/10/2016 8:10 0.6621117 0.8405573 0.002207039 0.002801858
Event 11 6/10/2016 8:15 0.6578091 0.8173375 0.002192697 0.002724458
Event 11 6/10/2016 8:20 0.6581948 0.871517 0.002193983 0.002905057
Event 12 4/26/2016 22:00 2.307288 2.588235 0.00769096 0.00862745
Event 12 4/26/2016 22:05 2.366998 3.091331 0.007889993 0.010304437
Event 12 4/26/2016 22:10 2.494073 3.278638 0.008313577 0.010928793
Event 12 4/26/2016 22:15 2.746868 3.083591 0.009156227 0.010278637
Event 12 4/26/2016 22:20 3.146326 2.877709 0.010487753 0.009592363
Event 12 4/26/2016 22:30 4.090476 2.354489 0.01363492 0.007848297
类似于47号事件
我想为每个事件有一个单独的数据帧。预期产出如下:
事件1_df:
^{pr2}$事件2_df:
DateTime ModFlow(cfs) ObsFlow(cfs) ModVol(f3) Obs Vol(f3)
Event
8/15/2016 15:35 11.85926 0 0.039530867 0
8/15/2016 10:05 30.05923 0 0.100197433 0
Event 2 8/15/2016 10:00 31.10118 0 0.1036706 0
8/15/2016 9:55 32.17444 0 0.107248133 0
8/15/2016 4:10 0.6783166 0.5650155 0.002261055 0.001883385
其他事件也一样
我怎么可能做到呢?在
因为,
Event
是索引,所以可以使用loc
来提取内容并将它们放入dict
。在详细信息:
^{pr2}$如果不在这些名称中进行硬编码,就无法将它们分配给变量名。但是,您可以创建一个字典来存储每个数据帧的键。在本例中,字典理解:
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