issues: 207862981
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 207862981 | MDU6SXNzdWUyMDc4NjI5ODE= | 1270 | BUG: Resample on PeriodIndex not working? | 5635139 | closed | 0 | 10 | 2017-02-15T16:56:21Z | 2020-05-30T02:34:17Z | 2020-05-30T02:34:17Z | MEMBER | ```python import xarray as xr import pandas as pd da = xr.DataArray(pd.Series(1, pd.period_range('2000-1', '2000-12', freq='W')).rename_axis('date')) da.resample('B', 'date', 'ffill') TypeError Traceback (most recent call last) <ipython-input-1-eb64a66a8d1f> in <module>() 3 da = xr.DataArray(pd.Series(1, pd.period_range('2000-1', '2000-12', freq='W')).rename_axis('date')) 4 ----> 5 da.resample('B', 'date', 'ffill') /Users/maximilian/drive/workspace/xarray/xarray/core/common.py in resample(self, freq, dim, how, skipna, closed, label, base, keep_attrs) 577 time_grouper = pd.TimeGrouper(freq=freq, how=how, closed=closed, 578 label=label, base=base) --> 579 gb = self.groupby_cls(self, group, grouper=time_grouper) 580 if isinstance(how, basestring): 581 f = getattr(gb, how) /Users/maximilian/drive/workspace/xarray/xarray/core/groupby.py in init(self, obj, group, squeeze, grouper, bins, cut_kwargs) 242 raise ValueError('index must be monotonic for resampling') 243 s = pd.Series(np.arange(index.size), index) --> 244 first_items = s.groupby(grouper).first() 245 if first_items.isnull().any(): 246 full_index = first_items.index /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/generic.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, kwargs) 3989 return groupby(self, by=by, axis=axis, level=level, as_index=as_index, 3990 sort=sort, group_keys=group_keys, squeeze=squeeze, -> 3991 kwargs) 3992 3993 def asfreq(self, freq, method=None, how=None, normalize=False): /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/groupby.py in groupby(obj, by, kwds) 1509 raise TypeError('invalid type: %s' % type(obj)) 1510 -> 1511 return klass(obj, by, kwds) 1512 1513 /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/groupby.py in init(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, **kwargs) 368 level=level, 369 sort=sort, --> 370 mutated=self.mutated) 371 372 self.obj = obj /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/core/groupby.py in _get_grouper(obj, key, axis, level, sort, mutated) 2390 # a passed-in Grouper, directly convert 2391 if isinstance(key, Grouper): -> 2392 binner, grouper, obj = key._get_grouper(obj) 2393 if key.key is None: 2394 return grouper, [], obj /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/tseries/resample.py in _get_grouper(self, obj) 1059 def _get_grouper(self, obj): 1060 # create the resampler and return our binner -> 1061 r = self._get_resampler(obj) 1062 r._set_binner() 1063 return r.binner, r.grouper, r.obj /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/pandas/tseries/resample.py in _get_resampler(self, obj, kind) 1055 raise TypeError("Only valid with DatetimeIndex, " 1056 "TimedeltaIndex or PeriodIndex, " -> 1057 "but got an instance of %r" % type(ax).name) 1058 1059 def _get_grouper(self, obj): TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index' ``` |
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completed | 13221727 | issue |