如何用很多NaN分组日期时间

Question

我有大量从传感器收集的数据集。我想使用平均值每五分钟对每列数据进行分组。有很多NaN值。有人能帮我吗？数据信息和前20行显示在这里：

 datasets.info()

 [20 rows x 11 columns]
 <class 'pandas.core.frame.DataFrame'>
 RangeIndex: 1083433 entries, 0 to 1083432
 Data columns (total 11 columns):
 Time                1083433 non-null object
 Temp (back)         132639 non-null object
 Temp (front)        104623 non-null object
 Temp (out)          104797 non-null object
 Humidity (back)     132610 non-null object
 Humidity (front)    104718 non-null object
 Humidity (out)      104798 non-null object
 CO2 (front)         104713 non-null object
 CO2 (out)           104790 non-null object
 Door Open           104677 non-null object
 Motion              104415 non-null object
 dtypes: object(11)
 memory usage: 90.9+ MB  

print(datasets.head(20)) 

                     Time Temp (back)  ... Door Open Motion
 0   2018-09-06T07:52:09+02:00       24.79  ...       NaN    NaN
 1   2018-09-06T07:52:09+02:00         NaN  ...       NaN    NaN
 2   2018-09-06T07:53:07+02:00       24.79  ...       NaN    NaN
 3   2018-09-06T07:53:07+02:00         NaN  ...       NaN    NaN
 4   2018-09-06T07:54:06+02:00       24.79  ...       NaN    NaN
 5   2018-09-06T07:54:06+02:00         NaN  ...       NaN    NaN
 6   2018-09-06T07:55:04+02:00        24.8  ...       NaN    NaN
 7   2018-09-06T07:55:04+02:00         NaN  ...       NaN    NaN
 8   2018-09-06T07:56:03+02:00       24.77  ...       NaN    NaN
 9   2018-09-06T07:56:03+02:00         NaN  ...       NaN    NaN
 10  2018-09-06T07:57:01+02:00       24.77  ...       NaN    NaN
 11  2018-09-06T07:57:01+02:00         NaN  ...       NaN    NaN
 12  2018-09-06T07:58:00+02:00       24.77  ...       NaN    NaN
 13  2018-09-06T07:58:00+02:00         NaN  ...       NaN    NaN
 14  2018-09-06T07:58:59+02:00       24.79  ...       NaN    NaN
 15  2018-09-06T07:58:59+02:00         NaN  ...       NaN    NaN
 16  2018-09-06T07:59:58+02:00       24.77  ...       NaN    NaN
 17  2018-09-06T07:59:58+02:00         NaN  ...       NaN    NaN
 18  2018-09-06T08:00:57+02:00       24.82  ...       NaN    NaN
 19  2018-09-06T08:00:57+02:00         NaN  ...       NaN    NaN

 datasets['Time']=pd.to_datetime(datasets['Time'])
 datasets.groupby(pd.Grouper(freq='5Min')).mean()

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