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/319#issuecomment-518116251,https://api.github.com/repos/pydata/xarray/issues/319,518116251,MDEyOklzc3VlQ29tbWVudDUxODExNjI1MQ==,32473508,2019-08-05T07:17:15Z,2019-08-05T07:17:15Z,CONTRIBUTOR,Will work on this issue in the next three weeks if no one else does till then.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,57254455
https://github.com/pydata/xarray/pull/3153#issuecomment-517995453,https://api.github.com/repos/pydata/xarray/issues/3153,517995453,MDEyOklzc3VlQ29tbWVudDUxNzk5NTQ1Mw==,32473508,2019-08-04T11:29:44Z,2019-08-04T11:30:48Z,CONTRIBUTOR,"@shoyer A fix in pandas that I can imagine is to modify the pd.Index to retain the dtype similar to the PandasIndexAdapter in xarray/core/indexing. However, it seems to me that their design it to coerce any float to float64, so I did not feel they would consider this to be a bug. I would try to dig into such solution more if you recommend so.
I added a test case in which the coords are float16 (in addiction to the scalar case)to show that casting to the coords type is required.
The lowest level in which I can access the coords type is in the indexing/remap_label_indexers where I could get the coords from the data_obj. In the latest code, casting is done just before calling convert_label_indexer
Sorry if I am missing the point, and thank you in advance for any further feedback.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,470712573
https://github.com/pydata/xarray/issues/3137#issuecomment-517989768,https://api.github.com/repos/pydata/xarray/issues/3137,517989768,MDEyOklzc3VlQ29tbWVudDUxNzk4OTc2OA==,32473508,2019-08-04T09:59:21Z,2019-08-04T09:59:21Z,CONTRIBUTOR,"The case also arises if coords are float16. e.g.
```
data_values = np.arange(4)
coord_values_16 = np.asarray(float_values, dtype='float16')
array_16 = DataArray(data_values, [('float16_coord', coord_values_16)])
array_16.sel(float16_coord=float_values[1:3])
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469117528
https://github.com/pydata/xarray/issues/3034#issuecomment-517919790,https://api.github.com/repos/pydata/xarray/issues/3034,517919790,MDEyOklzc3VlQ29tbWVudDUxNzkxOTc5MA==,32473508,2019-08-03T12:08:05Z,2019-08-03T12:08:05Z,CONTRIBUTOR,@jfpiolle Thank you very much for the clarification,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,457874038
https://github.com/pydata/xarray/pull/3153#issuecomment-515919693,https://api.github.com/repos/pydata/xarray/issues/3153,515919693,MDEyOklzc3VlQ29tbWVudDUxNTkxOTY5Mw==,32473508,2019-07-29T09:33:25Z,2019-07-29T09:34:07Z,CONTRIBUTOR,@shoyer @max-sixty I really appreciate your time and feedback. I will work on it within a week.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,470712573
https://github.com/pydata/xarray/issues/3034#issuecomment-515654610,https://api.github.com/repos/pydata/xarray/issues/3034,515654610,MDEyOklzc3VlQ29tbWVudDUxNTY1NDYxMA==,32473508,2019-07-27T05:41:59Z,2019-07-27T08:15:07Z,CONTRIBUTOR,"@jfpiolle Would you please share the files, or the code generating them?
As far as I understand we cannot have an attribute of type list. The closest thing I can think of is a variable length type as below
```
from netCDF4 import Dataset
f = Dataset(""example.nc"",""w"")
vlen_t = f.createVLType(numpy.int32, ""phony_vlen"")
x = f.createDimension(""x"",3)
y = f.createDimension(""y"",4)
vlvar = f.createVariable(""phony_vlen_var"", vlen_t, (""y"",""x""))
data =[]
for n in range(0, len(x)*len(y)):
data.append(numpy.arange(random.randint(1,10),dtype=""int32""))
data = numpy.reshape(data,(len(y),len(x)))
vlvar[:] = data
f.close()
```
Using files generated this way, I did not get an error using mf_dataset.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,457874038
https://github.com/pydata/xarray/issues/3137#issuecomment-515626172,https://api.github.com/repos/pydata/xarray/issues/3137,515626172,MDEyOklzc3VlQ29tbWVudDUxNTYyNjE3Mg==,32473508,2019-07-26T23:16:22Z,2019-07-26T23:16:32Z,CONTRIBUTOR,@dcherian I sent a PR last week. Any feedback would be appreciated ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469117528
https://github.com/pydata/xarray/issues/3034#issuecomment-514049445,https://api.github.com/repos/pydata/xarray/issues/3034,514049445,MDEyOklzc3VlQ29tbWVudDUxNDA0OTQ0NQ==,32473508,2019-07-23T04:28:58Z,2019-07-23T04:28:58Z,CONTRIBUTOR,I will handle this issue this Saturday if no one else handle it by then.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,457874038
https://github.com/pydata/xarray/pull/3156#issuecomment-513609730,https://api.github.com/repos/pydata/xarray/issues/3156,513609730,MDEyOklzc3VlQ29tbWVudDUxMzYwOTczMA==,32473508,2019-07-22T01:39:43Z,2019-07-22T01:39:43Z,CONTRIBUTOR,"@Max-sixty I am delighted to be here. Thank you very much!
I modified as per your comments, please let me know if there are further modifications .
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,470770984
https://github.com/pydata/xarray/issues/3154#issuecomment-513500494,https://api.github.com/repos/pydata/xarray/issues/3154,513500494,MDEyOklzc3VlQ29tbWVudDUxMzUwMDQ5NA==,32473508,2019-07-20T21:28:20Z,2019-07-20T21:28:20Z,CONTRIBUTOR,"I am getting a different error for linux py36
Linux py36
```
UnsatisfiableError: The following specifications were found to be in conflict:
- cfgrib[version='>=0.9.2']
- h5py
- pynio
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,470714103
https://github.com/pydata/xarray/issues/3137#issuecomment-512711316,https://api.github.com/repos/pydata/xarray/issues/3137,512711316,MDEyOklzc3VlQ29tbWVudDUxMjcxMTMxNg==,32473508,2019-07-18T08:06:46Z,2019-07-18T08:06:46Z,CONTRIBUTOR,@dcherian I would like to send a PR and work on this issue if there is no problem in this.,"{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,469117528
https://github.com/pydata/xarray/issues/3037#issuecomment-509518811,https://api.github.com/repos/pydata/xarray/issues/3037,509518811,MDEyOklzc3VlQ29tbWVudDUwOTUxODgxMQ==,32473508,2019-07-09T07:09:05Z,2019-07-09T07:14:44Z,CONTRIBUTOR,"@shoyer I would like to work on this issue (hopefully my first contribution).
I believe the error should indicate that we cannot groupby an empty group. This would be consistent with the documentation:
```
DataArray.groupby(group, squeeze: bool = True, restore_coord_dims: Optional[bool] = None)
Parameters
groupstr, DataArray or IndexVariable
Array whose unique values should be used to group this array. If a string, must be the name of a variable contained in this dataset.
````
For the groupby class, we can raise an error in case the groupby object instantiation does not specify values to be grouped by. In the case above:
```
ValueError: variable to groupby must not be empty
```
If you find such a solution acceptable, I would create a pull request.
Thank you in advance","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,459389883