data = data.groupby([pd.Grouper(key='Timestamp', freq='D')]).first().reset_index()
报错提示如下：
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-34-bb950f0a9cc9> in <module>
----> 1 data = data.groupby([pd.Grouper(key='Timestamp', freq='D')]).first().reset_index()
~\Anaconda3\lib\site-packages\pandas\core\frame.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna)
6725 squeeze=squeeze,
6726 observed=observed,
-> 6727 dropna=dropna,
6728 )
6729
~\Anaconda3\lib\site-packages\pandas\core\groupby\groupby.py in __init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna)
566 observed=observed,
567 mutated=self.mutated,
--> 568 dropna=self.dropna,
569 )
570
~\Anaconda3\lib\site-packages\pandas\core\groupby\grouper.py in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna)
837 dropna=dropna,
838 )
--> 839 if not isinstance(gpr, Grouping)
840 else gpr
841 )
~\Anaconda3\lib\site-packages\pandas\core\groupby\grouper.py in __init__(self, index, grouper, obj, name, level, sort, observed, in_axis, dropna)
492 # check again as we have by this point converted these
493 # to an actual value (rather than a pd.Grouper)
--> 494 _, grouper, _ = self.grouper._get_grouper(self.obj, validate=False)
495 if self.name is None:
496 self.name = grouper.result_index.name
~\Anaconda3\lib\site-packages\pandas\core\resample.py in _get_grouper(self, obj, validate)
1483 # create the resampler and return our binner
1484 r = self._get_resampler(obj)
-> 1485 r._set_binner()
1486 return r.binner, r.grouper, r.obj
1487
~\Anaconda3\lib\site-packages\pandas\core\resample.py in _set_binner(self)
193 """
194 if self.binner is None:
--> 195 self.binner, self.grouper = self._get_binner()
196
197 def _get_binner(self):
~\Anaconda3\lib\site-packages\pandas\core\resample.py in _get_binner(self)
200 has already been called.
201 """
--> 202 binner, bins, binlabels = self._get_binner_for_time()
203 assert len(bins) == len(binlabels)
204 bin_grouper = BinGrouper(bins, binlabels, indexer=self.groupby.indexer)
~\Anaconda3\lib\site-packages\pandas\core\resample.py in _get_binner_for_time(self)
1040 if self.kind == "period":
1041 return self.groupby._get_time_period_bins(self.ax)
-> 1042 return self.groupby._get_time_bins(self.ax)
1043
1044 def _downsample(self, how, **kwargs):
~\Anaconda3\lib\site-packages\pandas\core\resample.py in _get_time_bins(self, ax)
1503 closed=self.closed,
1504 origin=self.origin,
-> 1505 offset=self.offset,
1506 )
1507 # GH #12037
~\Anaconda3\lib\site-packages\pandas\core\resample.py in _get_timestamp_range_edges(first, last, freq, closed, origin, offset)
1744 """
1745 if isinstance(freq, Tick):
-> 1746 index_tz = first.tz
1747 if isinstance(origin, Timestamp) and (origin.tz is None) != (index_tz is None):
1748 raise ValueError("The origin must have the same timezone as the index.")
AttributeError: 'NaTType' object has no attribute 'tz'
