html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3004#issuecomment-508995157,https://api.github.com/repos/pydata/xarray/issues/3004,508995157,MDEyOklzc3VlQ29tbWVudDUwODk5NTE1Nw==,21049064,2019-07-07T12:17:45Z,2019-07-07T12:17:45Z,NONE,Perfect thankyou!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-508993107,https://api.github.com/repos/pydata/xarray/issues/3004,508993107,MDEyOklzc3VlQ29tbWVudDUwODk5MzEwNw==,6628425,2019-07-07T11:46:41Z,2019-07-07T11:46:41Z,MEMBER,I provided an answer to a question related to this on StackOverflow: https://stackoverflow.com/a/56514582/3825533. @tommylees112 would it be OK if we closed this issue?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-500165601,https://api.github.com/repos/pydata/xarray/issues/3004,500165601,MDEyOklzc3VlQ29tbWVudDUwMDE2NTYwMQ==,21049064,2019-06-08T21:28:34Z,2019-06-08T21:28:34Z,NONE,"The best way I have found so far is:
```
df = rank_norm.to_dataframe()
bins = pd.qcut(df['rank_norm'], 5, labels=[1, 2, 3, 4, 5])
output = bins.to_xarray().to_dataset().rename({'rank_norm':'rank_quantile'})
```
Which returns:
```
<xarray.Dataset>
Dimensions: (lat: 10, lon: 10, time: 70)
Coordinates:
* lat (lat) float64 -5.175 -5.125 -5.075 ... -4.825 -4.775 -4.725
* lon (lon) float64 33.52 33.57 33.62 33.67 ... 33.87 33.92 33.97
* time (time) datetime64[ns] 2010-02-28 2010-03-31 ... 2015-11-30
Data variables:
rank_quantile (lat, lon, time) int64 2 1 1 1 2 2 1 1 1 ... 1 1 2 2 1 4 2 2
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-499959555,https://api.github.com/repos/pydata/xarray/issues/3004,499959555,MDEyOklzc3VlQ29tbWVudDQ5OTk1OTU1NQ==,21049064,2019-06-07T16:53:55Z,2019-06-08T21:11:46Z,NONE,"So if I want them separated into 5 percentiles
`(0, 20) (20,40) (40,60) (60,80) (80,100)`
```
bins = [-0.01, 20., 40., 60., 80., np.Inf]
bin_labels = ['1', '2', '3', '4, '5']
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-499961306,https://api.github.com/repos/pydata/xarray/issues/3004,499961306,MDEyOklzc3VlQ29tbWVudDQ5OTk2MTMwNg==,21049064,2019-06-07T16:59:12Z,2019-06-07T16:59:12Z,NONE,"Also how do I assign the result of the `xarray.core.groupby.DatasetGroupBy` and the `labels` to a new variable?
```
bin_labels = ['20', '40', '60', '80']
decile_index_gpby = rank_norm.groupby_bins('rank_norm', bins=bins, labels=bin_labels)
decile_index_gpby.assign() # assign_coords()
```
Gives me the error message:
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-6-0c8328bf2f77> in <module>
----> 1 decile_index_gpby = rank_norm.groupby_bins('rank_norm', bins=bins, labels=bin_labels)
2 decile_index_gpby.assign() # assign_coords()
~/miniconda3/lib/python3.7/site-packages/xarray/core/common.py in groupby_bins(self, group, bins, right, labels, precision, include_lowest, squeeze)
529 cut_kwargs={'right': right, 'labels': labels,
530 'precision': precision,
--> 531 'include_lowest': include_lowest})
532
533 def rolling(self, dim=None, min_periods=None, center=False, **dim_kwargs):
~/miniconda3/lib/python3.7/site-packages/xarray/core/groupby.py in __init__(self, obj, group, squeeze, grouper, bins, cut_kwargs)
249
250 if bins is not None:
--> 251 binned = pd.cut(group.values, bins, **cut_kwargs)
252 new_dim_name = group.name + '_bins'
253 group = DataArray(binned, group.coords, name=new_dim_name)
~/miniconda3/lib/python3.7/site-packages/pandas/core/reshape/tile.py in cut(x, bins, right, labels, retbins, precision, include_lowest, duplicates)
239 include_lowest=include_lowest,
240 dtype=dtype,
--> 241 duplicates=duplicates)
242
243 return _postprocess_for_cut(fac, bins, retbins, x_is_series,
~/miniconda3/lib/python3.7/site-packages/pandas/core/reshape/tile.py in _bins_to_cuts(x, bins, right, labels, precision, include_lowest, dtype, duplicates)
357 else:
358 if len(labels) != len(bins) - 1:
--> 359 raise ValueError('Bin labels must be one fewer than '
360 'the number of bin edges')
361 if not is_categorical_dtype(labels):
ValueError: Bin labels must be one fewer than the number of bin edges
In [7]: bin_labels = ['20', '40', '60', '80']
...: decile_index_gpby = rank_norm.groupby_bins('rank_norm', bins=bins, labels=bin_labels)
...: decile_index_gpby.assign() # assign_coords()
...:
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-7-a4ba78018478> in <module>
1 bin_labels = ['20', '40', '60', '80']
2 decile_index_gpby = rank_norm.groupby_bins('rank_norm', bins=bins, labels=bin_labels)
----> 3 decile_index_gpby.assign() # assign_coords()
~/miniconda3/lib/python3.7/site-packages/xarray/core/groupby.py in assign(self, **kwargs)
772 Dataset.assign
773 """"""
--> 774 return self.apply(lambda ds: ds.assign(**kwargs))
775
776
~/miniconda3/lib/python3.7/site-packages/xarray/core/groupby.py in apply(self, func, args, **kwargs)
684 kwargs.pop('shortcut', None) # ignore shortcut if set (for now)
685 applied = (func(ds, *args, **kwargs) for ds in self._iter_grouped())
--> 686 return self._combine(applied)
687
688 def _combine(self, applied):
~/miniconda3/lib/python3.7/site-packages/xarray/core/groupby.py in _combine(self, applied)
691 coord, dim, positions = self._infer_concat_args(applied_example)
692 combined = concat(applied, dim)
--> 693 combined = _maybe_reorder(combined, dim, positions)
694 if coord is not None:
695 combined[coord.name] = coord
~/miniconda3/lib/python3.7/site-packages/xarray/core/groupby.py in _maybe_reorder(xarray_obj, dim, positions)
468
469 def _maybe_reorder(xarray_obj, dim, positions):
--> 470 order = _inverse_permutation_indices(positions)
471
472 if order is None:
~/miniconda3/lib/python3.7/site-packages/xarray/core/groupby.py in _inverse_permutation_indices(positions)
110 positions = [np.arange(sl.start, sl.stop, sl.step) for sl in positions]
111
--> 112 indices = nputils.inverse_permutation(np.concatenate(positions))
113 return indices
114
~/miniconda3/lib/python3.7/site-packages/xarray/core/nputils.py in inverse_permutation(indices)
58 # use intp instead of int64 because of windows :(
59 inverse_permutation = np.empty(len(indices), dtype=np.intp)
---> 60 inverse_permutation[indices] = np.arange(len(indices), dtype=np.intp)
61 return inverse_permutation
62
IndexError: index 1204 is out of bounds for axis 0 with size 1000
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-499959013,https://api.github.com/repos/pydata/xarray/issues/3004,499959013,MDEyOklzc3VlQ29tbWVudDQ5OTk1OTAxMw==,2448579,2019-06-07T16:52:22Z,2019-06-07T16:52:22Z,MEMBER,"As the message says, you're specifying bin edges in `bins`, so you probably want `bin_labels=['30', '50', '70', '90']`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-499958420,https://api.github.com/repos/pydata/xarray/issues/3004,499958420,MDEyOklzc3VlQ29tbWVudDQ5OTk1ODQyMA==,21049064,2019-06-07T16:50:36Z,2019-06-07T16:50:36Z,NONE,"Why does the number of bin labels have to be one less than the number of bins?
```
bin_labels = ['20', '40', '60', '80', '100']
decile_index_gpby = rank_norm.groupby_bins('rank_norm', bins=bins, labels=bin_labels)
Out[]:
ValueError: Bin labels must be one fewer than the number of bin edges
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041
https://github.com/pydata/xarray/issues/3004#issuecomment-499952572,https://api.github.com/repos/pydata/xarray/issues/3004,499952572,MDEyOklzc3VlQ29tbWVudDQ5OTk1MjU3Mg==,1197350,2019-06-07T16:32:02Z,2019-06-07T16:32:02Z,MEMBER,"If you just want different coordinates for the result of `groupby_bins`, you can pass the `labels` keyword. See example here: http://xarray.pydata.org/en/stable/groupby.html#binning","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,453576041