각 timestamp에서 값이 timestamp에있는 timeseries의 값과 일치하는 데이터 프레임에서 열 이름을 찾으려고합니다.팬더 데이터 프레임에 값이있는 열 이름을 가져옵니다.
>>> df
col5 col4 col3 col2 col1
1979-01-01 00:00:00 1181.220328 912.154923 648.848635 390.986156 138.185861
1979-01-01 06:00:00 1190.724461 920.767974 657.099560 399.395338 147.761352
1979-01-01 12:00:00 1193.414510 918.121482 648.558837 384.632475 126.254342
1979-01-01 18:00:00 1171.670276 897.585930 629.201469 366.652033 109.545607
1979-01-02 00:00:00 1168.892579 900.375126 638.377583 382.584568 132.998706
>>> df.to_dict()
{'col4': {<Timestamp: 1979-01-01 06:00:00>: 920.76797370744271, <Timestamp: 1979-01-01 00:00:00>: 912.15492332839756, <Timestamp: 1979-01-01 18:00:00>: 897.58592995700656, <Timestamp: 1979-01-01 12:00:00>: 918.1214819496729}, 'col5': {<Timestamp: 1979-01-01 06:00:00>: 1190.7244605667831, <Timestamp: 1979-01-01 00:00:00>: 1181.2203275146587, <Timestamp: 1979-01-01 18:00:00>: 1171.6702763228691, <Timestamp: 1979-01-01 12:00:00>: 1193.4145103184442}, 'col2': {<Timestamp: 1979-01-01 06:00:00>: 399.39533771666561, <Timestamp: 1979-01-01 00:00:00>: 390.98615646597591, <Timestamp: 1979-01-01 18:00:00>: 366.65203285812231, <Timestamp: 1979-01-01 12:00:00>: 384.63247469269874}, 'col3': {<Timestamp: 1979-01-01 06:00:00>: 657.09956023625466, <Timestamp: 1979-01-01 00:00:00>: 648.84863460462293, <Timestamp: 1979-01-01 18:00:00>: 629.20146872682449, <Timestamp: 1979-01-01 12:00:00>: 648.55883747413225}, 'col1': {<Timestamp: 1979-01-01 06:00:00>: 147.7613518219286, <Timestamp: 1979-01-01 00:00:00>: 138.18586102094068, <Timestamp: 1979-01-01 18:00:00>: 109.54560722575859, <Timestamp: 1979-01-01 12:00:00>: 126.25434189361377}}
그리고 각각의 타임 스탬프에 일치시킬 값으로 시계열 : 여기
내 dataframe입니다>>> ts
1979-01-01 00:00:00 1181.220328
1979-01-01 06:00:00 657.099560
1979-01-01 12:00:00 126.254342
1979-01-01 18:00:00 109.545607
Freq: 6H
>>> ts.to_dict()
{<Timestamp: 1979-01-01 06:00:00>: 657.09956023625466, <Timestamp: 1979-01-01 00:00:00>: 1181.2203275146587, <Timestamp: 1979-01-01 18:00:00>: 109.54560722575859, <Timestamp: 1979-01-01 12:00:00>: 126.25434189361377}
결과는 다음과 같습니다
>>> df_result
value Column
1979-01-01 00:00:00 1181.220328 col5
1979-01-01 06:00:00 657.099560 col3
1979-01-01 12:00:00 126.254342 col1
1979-01-01 18:00:00 109.545607 col1
제 질문이 충분히 분명하기를 바랍니다. 누구나 df_result를 얻는 방법을 알고 있습니까?
감사
그렉 여기
고마워요 @ 앤디, 효과가있었습니다. – leroygr