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/2798#issuecomment-504327718,https://api.github.com/repos/pydata/xarray/issues/2798,504327718,MDEyOklzc3VlQ29tbWVudDUwNDMyNzcxOA==,358378,2019-06-21T07:45:23Z,2019-06-21T07:45:23Z,CONTRIBUTOR,"When I look at current master, it seems this is already fixed
xarray 0.11.3:
https://github.com/pydata/xarray/blob/d58e0769c7d600d5c8c3c2fb52aa28856c4d3290/xarray/core/dataset.py#L167
master:
https://github.com/pydata/xarray/blob/9c0bbf744a5235b4187f87de49175e6776d813cb/xarray/core/dataset.py#L179","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,416879239
https://github.com/pydata/xarray/pull/2844#issuecomment-497308484,https://api.github.com/repos/pydata/xarray/issues/2844,497308484,MDEyOklzc3VlQ29tbWVudDQ5NzMwODQ4NA==,358378,2019-05-30T12:11:02Z,2019-05-30T12:11:02Z,CONTRIBUTOR,"I'd like this one to be merged very much. Is there anything holding this back?
Also, it might be nice to update the documentation with info on this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,424265093
https://github.com/pydata/xarray/issues/1352#issuecomment-292929325,https://api.github.com/repos/pydata/xarray/issues/1352,292929325,MDEyOklzc3VlQ29tbWVudDI5MjkyOTMyNQ==,358378,2017-04-10T12:02:09Z,2017-04-10T12:02:09Z,CONTRIBUTOR,"Thanks, @darothen ! However, I believe I shouldn't *have to*, but xarray should do the right thing automatically.
Maybe I want to use the dataset after saving for something else, which would mean I'd have to do something like `d_.drop(['category', 'species']).to_netcdf(...)`, which I don't like too much ...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,219321876
https://github.com/pydata/xarray/issues/1352#issuecomment-292873315,https://api.github.com/repos/pydata/xarray/issues/1352,292873315,MDEyOklzc3VlQ29tbWVudDI5Mjg3MzMxNQ==,358378,2017-04-10T07:42:02Z,2017-04-10T07:42:02Z,CONTRIBUTOR,"Sure :smile:
I first open a DataArray:
grid_eu_coarse_noborder = xr.open_dataarray('tno-macc3_eu-no-nld-no-border_area.nc')
grid_eu_coarse_noborder
<xarray.DataArray 'TNO-MACC3_EU' (species: 12, category: 15, lon: 720, lat: 672)>
[87091200 values with dtype=float64]
Coordinates:
* lat (lat) float64 30.03 30.09 30.16 30.22 30.28 30.34 30.41 30.47 ...
* category (category) object 'pow' 'res' 'inc' 'pei' 'exf' 'sol' 'tra1' ...
* species (species) object 'CH4' 'CO' 'NH3' 'NMVOC' 'NOX' 'BC_1' ...
* lon (lon) float64 -29.94 -29.81 -29.69 -29.56 -29.44 -29.31 -29.19 ...
from which I select using `.loc[]` and convert to Dataset:
grid_eu_coarse_noborder.loc['NOX', 'pow'].to_dataset()
<xarray.Dataset>
Dimensions: (lat: 672, lon: 720)
Coordinates:
* lat (lat) float64 30.03 30.09 30.16 30.22 30.28 30.34 30.41 ...
category <U3 'pow'
species <U3 'NOX'
* lon (lon) float64 -29.94 -29.81 -29.69 -29.56 -29.44 -29.31 ...
Data variables:
TNO-MACC3_EU (lon, lat) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...
which then cannot be saved:
grid_eu_coarse_noborder.loc['NOX', 'pow'].to_dataset().to_netcdf('test.nc')
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/core/utils.py in __len__(self)
395 try:
--> 396 return self.shape[0]
397 except IndexError:
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-8-fb260f3bec4b> in <module>()
----> 1 grid_eu_coarse_noborder.loc['NOX', 'pow'].to_dataset().to_netcdf('test.nc')
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/core/dataset.py in to_netcdf(self, path, mode, format, group, engine, encoding, unlimited_dims)
951 return to_netcdf(self, path, mode, format=format, group=group,
952 engine=engine, encoding=encoding,
--> 953 unlimited_dims=unlimited_dims)
954
955 def __unicode__(self):
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/backends/api.py in to_netcdf(dataset, path, mode, format, group, engine, writer, encoding, unlimited_dims)
567 try:
568 dataset.dump_to_store(store, sync=sync, encoding=encoding,
--> 569 unlimited_dims=unlimited_dims)
570 if isinstance(path, BytesIO):
571 return path.getvalue()
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/core/dataset.py in dump_to_store(self, store, encoder, sync, encoding, unlimited_dims)
891
892 store.store(variables, attrs, check_encoding,
--> 893 unlimited_dims=unlimited_dims)
894 if sync:
895 store.sync()
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/backends/common.py in store(self, variables, attributes, *args, **kwargs)
233 cf_variables, cf_attrs = cf_encoder(variables, attributes)
234 AbstractWritableDataStore.store(self, cf_variables, cf_attrs,
--> 235 *args, **kwargs)
236
237
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/backends/common.py in store(self, variables, attributes, check_encoding_set, unlimited_dims)
202 self.set_attributes(attributes)
203 self.set_variables(variables, check_encoding_set,
--> 204 unlimited_dims=unlimited_dims)
205
206 def set_attributes(self, attributes):
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/backends/common.py in set_variables(self, variables, check_encoding_set, unlimited_dims)
214 check = vn in check_encoding_set
215 target, source = self.prepare_variable(
--> 216 name, v, check, unlimited_dims=unlimited_dims)
217 self.writer.add(source, target)
218
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/backends/netCDF4_.py in prepare_variable(self, name, variable, check_encoding, unlimited_dims)
272
273 if self.format == 'NETCDF4':
--> 274 variable, datatype = _nc4_values_and_dtype(variable)
275 else:
276 variable = encode_nc3_variable(variable)
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/backends/netCDF4_.py in _nc4_values_and_dtype(var)
78 if var.dtype.kind == 'U':
79 # this entire clause should not be necessary with netCDF4>=1.0.9
---> 80 if len(var) > 0:
81 var = var.astype('O')
82 dtype = str
/home/eb/software/LAMOSpy/0.2-intel-2016a-Python-3.5.1/lib/python3.5/site-packages/xarray-0.9.1-py3.5.egg/xarray/core/utils.py in __len__(self)
396 return self.shape[0]
397 except IndexError:
--> 398 raise TypeError('len() of unsized object')
399
400
TypeError: len() of unsized object
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,219321876
https://github.com/pydata/xarray/issues/1304#issuecomment-285737819,https://api.github.com/repos/pydata/xarray/issues/1304,285737819,MDEyOklzc3VlQ29tbWVudDI4NTczNzgxOQ==,358378,2017-03-10T17:52:22Z,2017-03-10T17:52:22Z,CONTRIBUTOR,"Sounds good. However, maybe `from_ncdataset` would avoid possible name confusion given that there's a `Dataset` in both xarray and netCDF4? On the other hand, at least in this context one of the options wouldn't make sense ... What do you think?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,213082731
https://github.com/pydata/xarray/issues/439#issuecomment-212942750,https://api.github.com/repos/pydata/xarray/issues/439,212942750,MDEyOklzc3VlQ29tbWVudDIxMjk0Mjc1MA==,358378,2016-04-21T14:28:32Z,2016-04-21T14:28:32Z,CONTRIBUTOR,"sounds good to me, @sjpfenninger, but I don't know the internals ...
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,89866276
https://github.com/pydata/xarray/pull/495#issuecomment-133003335,https://api.github.com/repos/pydata/xarray/issues/495,133003335,MDEyOklzc3VlQ29tbWVudDEzMzAwMzMzNQ==,358378,2015-08-20T13:11:49Z,2015-08-20T13:11:49Z,CONTRIBUTOR,"That's strange, I cannot reproduce the test failure on my system ... Any ideas?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,97237275
https://github.com/pydata/xarray/pull/495#issuecomment-125250524,https://api.github.com/repos/pydata/xarray/issues/495,125250524,MDEyOklzc3VlQ29tbWVudDEyNTI1MDUyNA==,358378,2015-07-27T15:47:17Z,2015-07-27T15:47:17Z,CONTRIBUTOR,"I'm not really happy with my implementation; the coordinate/variable handling in lines 1870-1884 are far from elegant. But is there a nicer way to do this?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,97237275
https://github.com/pydata/xarray/pull/495#issuecomment-125244483,https://api.github.com/repos/pydata/xarray/issues/495,125244483,MDEyOklzc3VlQ29tbWVudDEyNTI0NDQ4Mw==,358378,2015-07-27T15:27:48Z,2015-07-27T15:27:48Z,CONTRIBUTOR,"> I wouldn't allow full control here, but maybe a keyword argument for
> choosing whether to take the ""lower"", ""upper"" or ""mean"" labels would be
> appropriate.
I don't see how 'mean' could work, as the coord might be of dtype str.
But I'm implementing 'upper' and 'lower'. If the user wants something
different, she can always just swap the coord manually.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,97237275
https://github.com/pydata/xarray/pull/495#issuecomment-124862963,https://api.github.com/repos/pydata/xarray/issues/495,124862963,MDEyOklzc3VlQ29tbWVudDEyNDg2Mjk2Mw==,358378,2015-07-25T17:15:10Z,2015-07-25T17:15:10Z,CONTRIBUTOR,"Actually, the current implementation leads to `0.0` for arrays inside a `Dataset` which don't have `dim` as a dimension. I personally would find it more intuitive if those arrays would not be touched at all.
Do you agree, or do you prefer this `0.0` for unaffected arrays?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,97237275
https://github.com/pydata/xarray/issues/439#issuecomment-124637042,https://api.github.com/repos/pydata/xarray/issues/439,124637042,MDEyOklzc3VlQ29tbWVudDEyNDYzNzA0Mg==,358378,2015-07-24T19:04:09Z,2015-07-24T19:04:09Z,CONTRIBUTOR,"can you give a pointer to where this would need to be done in the code?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,89866276
https://github.com/pydata/xarray/issues/490#issuecomment-124147990,https://api.github.com/repos/pydata/xarray/issues/490,124147990,MDEyOklzc3VlQ29tbWVudDEyNDE0Nzk5MA==,358378,2015-07-23T15:47:27Z,2015-07-23T15:47:27Z,CONTRIBUTOR,"If you can give me a pointer where in the code this would have to be implemented, I could give it a try myself ...
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96844263
https://github.com/pydata/xarray/issues/265#issuecomment-60410597,https://api.github.com/repos/pydata/xarray/issues/265,60410597,MDEyOklzc3VlQ29tbWVudDYwNDEwNTk3,358378,2014-10-24T16:17:26Z,2014-10-24T16:17:26Z,CONTRIBUTOR,"Thanks!
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46750605