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  • xarray · 2 ✖
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
256496917 MDU6SXNzdWUyNTY0OTY5MTc= 1565 Regression: time attributes on PeriodIndex fmaussion 10050469 open 0     12 2017-09-10T09:27:09Z 2021-07-20T18:33:29Z   MEMBER      

The following used to work with xarray 0.9.5 but doesn't anymore with 0.9.6 or master:

python import xarray as xr import pandas as pd import numpy as np time = pd.period_range('2000-01', '2000-12', freq='M') da = xr.DataArray(np.arange(12), dims=['time'], coords={'time':time}) da['time.month']

```

KeyError Traceback (most recent call last) ~/.pyvirtualenvs/py3/lib/python3.5/site-packages/xarray/core/dataarray.py in _getitem_coord(self, key) 458 try: --> 459 var = self._coords[key] 460 except KeyError:

KeyError: 'time.month'

During handling of the above exception, another exception occurred:

AttributeError Traceback (most recent call last) <ipython-input-1-41829b924596> in <module>() 4 time = pd.period_range('2000-01', '2000-12', freq='M') 5 da = xr.DataArray(np.arange(12), dims=['time'], coords={'time':time}) ----> 6 da['time.month']

~/.pyvirtualenvs/py3/lib/python3.5/site-packages/xarray/core/dataarray.py in getitem(self, key) 467 def getitem(self, key): 468 if isinstance(key, basestring): --> 469 return self._getitem_coord(key) 470 else: 471 # orthogonal array indexing

~/.pyvirtualenvs/py3/lib/python3.5/site-packages/xarray/core/dataarray.py in getitem_coord(self, key) 461 dim_sizes = dict(zip(self.dims, self.shape)) 462 , key, var = _get_virtual_variable( --> 463 self._coords, key, self._level_coords, dim_sizes) 464 465 return self._replace_maybe_drop_dims(var, name=key)

~/.pyvirtualenvs/py3/lib/python3.5/site-packages/xarray/core/dataset.py in _get_virtual_variable(variables, key, level_vars, dim_sizes) 82 data = getattr(ref_var.dt, var_name).data 83 else: ---> 84 data = getattr(ref_var, var_name).data 85 virtual_var = Variable(ref_var.dims, data) 86

AttributeError: 'IndexVariable' object has no attribute 'month' ```

 
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     xarray 13221727 issue
184456540 MDU6SXNzdWUxODQ0NTY1NDA= 1056 groupby_bins along two dims simultaneously fmaussion 10050469 open 0     3 2016-10-21T10:50:06Z 2020-10-04T05:06:37Z   MEMBER      

I probably missed it, but what is the way to apply groupby (or rather groupby_bins) in order to achieve the following in xarray?

``` python da = xr.DataArray(np.arange(16).reshape((4, 4))) da <xarray.DataArray (dim_0: 4, dim_1: 4)> array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11], [12, 13, 14, 15]]) Coordinates: * dim_0 (dim_0) int64 0 1 2 3 * dim_1 (dim_1) int64 0 1 2 3

should be aggregated to (in case of summing) to obtain

dagg <xarray.DataArray (dim_0: 2, dim_1: 2)> array([[10, 18], [42, 50]]) Coordinates: * dim_1 (dim_1) int64 0 2 * dim_0 (dim_0) int64 0 2 ```

 
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     xarray 13221727 issue

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