Python數據幀重採樣TypeError

Question

我有一個pd.DataFrame，我想每十分鐘重新採樣一次。 對於重採樣我索引我的數據幀是這樣的：

re_in = Re.set_index(pd.DatetimeIndex(Re['time'])) # index Re 

所得有re_in看起來是這樣的：

time     time     T WR WS WG U R RC                   
2017-06-22 00:00:00 2017-06-22 00:00:00 21.8 159 5.8 7.9 66 0.0 0.0 
2017-06-22 00:05:00 2017-06-22 00:05:00 21.9 173 9.0 11.9 65 0.0 0.0 
2017-06-22 00:10:00 2017-06-22 00:10:00 21.9 145 4.0 4.0 66 0.0 0.0 
2017-06-22 00:15:00 2017-06-22 00:15:00 21.9 158 6.8 7.9 67 0.0 0.0 
2017-06-22 00:20:00 2017-06-22 00:20:00 21.9 149 6.4 7.9 68 0.0 0.0 
2017-06-22 00:25:00 2017-06-22 00:25:00 21.9 156 4.7 7.9 68 0.0 0.0 
2017-06-22 00:30:00 2017-06-22 00:30:00 21.8 153 3.2 4.0 69 0.0 0.0 

我試圖把樣品與此代碼：

av_temp['RE_mean'] = re_in.T.resample("10T").mean() # average Re 

但我收到錯誤：

File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile 
    execfile(filename, namespace) 

    File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile 
    exec(compile(f.read(), filename, 'exec'), namespace) 

    File "M:/Python/Testveld/Software/selecting_date_temperature_av.py", line 234, in <module> 
    av_temp['WH_mean'] = re_in.T.resample(SAMPLE).mean() # average renkforce 

    File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py", line 4212, in resample 
    base=base, key=on, level=level) 

    File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\tseries\resample.py", line 944, in resample 
    return tg._get_resampler(obj, kind=kind) 

    File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\tseries\resample.py", line 1057, in _get_resampler 
    "but got an instance of %r" % type(ax).__name__) 

TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index' 

當我檢查re_in.index時，它表示它是一個DatetimeIndex。

print(re_in.index) 
DatetimeIndex(['2017-06-22 00:00:00', '2017-06-22 00:05:00', 
       '2017-06-22 00:10:00', '2017-06-22 00:15:00', 
       '2017-06-22 00:20:00', '2017-06-22 00:25:00', 
       '2017-06-22 00:30:00', '2017-06-22 00:35:00', 
       '2017-06-22 00:37:00', '2017-06-22 00:42:00', 
       ... 
       '2017-06-22 23:15:00', '2017-06-22 23:20:00', 
       '2017-06-22 23:25:00', '2017-06-22 23:30:00', 
       '2017-06-22 23:35:00', '2017-06-22 23:40:00', 
       '2017-06-22 23:45:00', '2017-06-22 23:46:00', 
       '2017-06-22 23:51:00', '2017-06-22 23:56:00'], 
       dtype='datetime64[ns]', name='time', length=288, freq=None) 

我該如何解決這個問題？

Answer 1

T是將transpose您的數據幀的pandas.DataFrame的屬性，你需要使用['T']：

av_temp['RE_mean'] = re_in['T'].resample("10T").mean() # average Re