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/pull/814#issuecomment-348225565,https://api.github.com/repos/pydata/xarray/issues/814,348225565,MDEyOklzc3VlQ29tbWVudDM0ODIyNTU2NQ==,6215361,2017-11-30T15:38:57Z,2017-11-30T15:38:57Z,NONE,I think also I could make you a contributor or transfer the branch to someone. So that might be an option too.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-309667894,https://api.github.com/repos/pydata/xarray/issues/814,309667894,MDEyOklzc3VlQ29tbWVudDMwOTY2Nzg5NA==,6215361,2017-06-20T07:25:11Z,2017-06-20T07:25:11Z,NONE,Sorry guys I don't have time to do anything on this (or any open source stuff) at the moment. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-262383397,https://api.github.com/repos/pydata/xarray/issues/814,262383397,MDEyOklzc3VlQ29tbWVudDI2MjM4MzM5Nw==,6215361,2016-11-22T22:21:15Z,2016-11-22T22:21:15Z,NONE,"This did used to have some tests, but they seem to have got lost somewhere along the way. I'll add the old tests back in, which would be a start.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-238586208,https://api.github.com/repos/pydata/xarray/issues/814,238586208,MDEyOklzc3VlQ29tbWVudDIzODU4NjIwOA==,6215361,2016-08-09T15:15:53Z,2016-08-09T15:15:53Z,NONE,"This adds the extra code that @pelson suggested but it would be nice to create a little unit test with a mixed Dimension and Auxiliary coordinates. Is there an easy way to create a simple cube in Iris that could test this?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-228596914,https://api.github.com/repos/pydata/xarray/issues/814,228596914,MDEyOklzc3VlQ29tbWVudDIyODU5NjkxNA==,6215361,2016-06-26T11:35:36Z,2016-06-26T11:35:36Z,NONE,"@shoyer I have not forgotten about this PR, I just been working a lot on a pandas PR updating the ci and it's been taking up a lot of my spare time.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-221624107,https://api.github.com/repos/pydata/xarray/issues/814,221624107,MDEyOklzc3VlQ29tbWVudDIyMTYyNDEwNw==,6215361,2016-05-25T16:04:45Z,2016-05-25T16:04:45Z,NONE,"I have merged upstream and it seems to be failing but I don't think it's related to this PR, as a clean clone of master branch is also failing https://travis-ci.org/nparley/xarray/jobs/132872124
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-218094052,https://api.github.com/repos/pydata/xarray/issues/814,218094052,MDEyOklzc3VlQ29tbWVudDIxODA5NDA1Mg==,6215361,2016-05-10T08:39:59Z,2016-05-10T08:39:59Z,NONE,"@shoyer @pelson @rhattersley Is there anything you think could be added to this PR or is this ok for now?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-212415277,https://api.github.com/repos/pydata/xarray/issues/814,212415277,MDEyOklzc3VlQ29tbWVudDIxMjQxNTI3Nw==,6215361,2016-04-20T13:05:07Z,2016-04-20T13:05:07Z,NONE,"OK this update uses `iris.fileformats._pyke_rules.compiled_krb.fc_rules_cf_fc` as @pelson mentioned in the comment above. I also added a cell method to the test
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-207460668,https://api.github.com/repos/pydata/xarray/issues/814,207460668,MDEyOklzc3VlQ29tbWVudDIwNzQ2MDY2OA==,6215361,2016-04-08T14:47:08Z,2016-04-08T14:47:08Z,NONE,"OK the latest commit tries to do the cell methods:
``` python
>>> print(cube)
sea_water_potential_temperature / (degC) (-- : 148; -- : 180)
Auxiliary coordinates:
latitude x x
longitude x x
Scalar coordinates:
depth: 4.99994 m, bound=(0.0, 10.0) m
time: 1-01-01 12:00:00
Attributes:
Conventions: CF-1.5
Cell methods:
mean: time_counter
>>> print(xarray.DataArray.from_iris(cube))
array([[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
...,
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan]], dtype=float32)
Coordinates:
deptht float64 5.0
time_counter object 1-01-01 12:00:00
nav_lat (dim0, dim1) float32 -78.1906 -78.1906 -78.1906 -78.1906 ...
nav_lon (dim0, dim1) float32 80.0 82.0 83.9999 85.9999 87.9999 ...
* dim0 (dim0) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ...
* dim1 (dim1) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ...
Attributes:
units: degC
long_name: Temperature
standard_name: sea_water_potential_temperature
cell_methods: time_counter: mean
Conventions: CF-1.5
>>> print(xarray.DataArray.from_iris(cube).to_iris())
sea_water_potential_temperature / (degC) (dim0: 148; dim1: 180)
Dimension coordinates:
dim0 x -
dim1 - x
Auxiliary coordinates:
latitude x x
longitude x x
Scalar coordinates:
depth: 4.99993801117 m
time: 1-01-01 12:00:00
Attributes:
Conventions: CF-1.5
Cell methods:
mean: time_counter
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-205292756,https://api.github.com/repos/pydata/xarray/issues/814,205292756,MDEyOklzc3VlQ29tbWVudDIwNTI5Mjc1Ng==,6215361,2016-04-04T13:16:45Z,2016-04-04T13:16:45Z,NONE,"The comment was just to mention that I had based my code on the code from cdms2 from #236 as suggested by @shoyer. I guess this comment would not be needed in the final merge.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-205207053,https://api.github.com/repos/pydata/xarray/issues/814,205207053,MDEyOklzc3VlQ29tbWVudDIwNTIwNzA1Mw==,6215361,2016-04-04T09:17:20Z,2016-04-04T09:17:20Z,NONE,"Latest commit fixes bug if the Iris cube does not have any dimension coordinates. What do people think about keeping or dropping the automatic dimension coordinates that xarray creates? And if dropping should be done should all coordinates named `dim{x}` be dropped? Or are we happy with just leaving them there?
For example at the moment:
``` python
>>> print(cube)
sea_water_potential_temperature / (degC) (-- : 148; -- : 180)
Auxiliary coordinates:
latitude x x
longitude x x
Scalar coordinates:
depth: 4.99994 m, bound=(0.0, 10.0) m
time: 1-01-01 12:00:00
Attributes:
Conventions: CF-1.5
Cell methods:
mean: time_counter
>>> print(xarray.DataArray.from_iris(cube).to_iris())
sea_water_potential_temperature / (degC) (dim0: 148; dim1: 180)
Dimension coordinates:
dim0 x -
dim1 - x
Auxiliary coordinates:
latitude x x
longitude x x
Scalar coordinates:
depth: 4.99993801117 m
time: 1-01-01 12:00:00
Attributes:
Conventions: CF-1.5
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-204950134,https://api.github.com/repos/pydata/xarray/issues/814,204950134,MDEyOklzc3VlQ29tbWVudDIwNDk1MDEzNA==,6215361,2016-04-03T11:53:25Z,2016-04-03T11:53:25Z,NONE,"Ok, bounds can just be something to add to the converter if / when it's supported.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-204765160,https://api.github.com/repos/pydata/xarray/issues/814,204765160,MDEyOklzc3VlQ29tbWVudDIwNDc2NTE2MA==,6215361,2016-04-02T17:48:01Z,2016-04-02T17:48:01Z,NONE,"There is a problem when it comes to bounds. Xarray adds the bounds as another DataArray to the DataSet, i.e.:
```
Data variables:
votemper (dim0, dim1) float64 nan nan nan nan nan nan nan nan nan ...
deptht_bnds (bnds) float64 0.0 10.0
```
I can get the name of this variable from the Coord attribute in the DataArray for another variable, i.e. `ds['votemper'].coords['deptht'].bounds` but can't get the bound array from the DataArray? is that correct?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-204340656,https://api.github.com/repos/pydata/xarray/issues/814,204340656,MDEyOklzc3VlQ29tbWVudDIwNDM0MDY1Ng==,6215361,2016-04-01T10:21:23Z,2016-04-01T10:21:23Z,NONE,"`docker pull nparley/xarray_test` is a python 2.7 environment with Iris etc. which mirrors the travis `CONDA_ENV=py27-cdat+iris+pynio`.
It doesn't do everything, but it's a good first go. Here is an example:
``` python
>>> import xarray
>>> import iris
>>> nc_file = 'E1_north_america.nc'
>>> cube = iris.load_cube(nc_file)
>>> darray = xarray.open_dataset(nc_file)['air_temperature']
>>> print(darray)
[435120 values with dtype=float32]
Coordinates:
* time (time) datetime64[ns] 1860-06-01 1861-06-01 ...
* latitude (latitude) float32 15.0 16.25 17.5 18.75 20.0 ...
* longitude (longitude) float32 225.0 226.875 228.75 ...
forecast_period (time) timedelta64[ns] 449 days 18:00:00 ...
forecast_reference_time datetime64[ns] 1859-09-01T06:00:00
height float64 1.5
Attributes:
standard_name: air_temperature
units: K
Model scenario: E1
ukmo__um_stash_source: m01s03i236
source: Data from Met Office Unified Model 6.05
cell_methods: time: mean (interval: 6 hour)
>>> print(xarray.DataArray.from_iris(cube))
[435120 values with dtype=float32]
Coordinates:
* time (time) datetime64[ns] 1860-06-01 1861-06-01 ...
* latitude (latitude) float32 15.0 16.25 17.5 18.75 20.0 ...
* longitude (longitude) float32 225.0 226.875 228.75 ...
forecast_reference_time datetime64[ns] 1859-09-01T06:00:00
height float64 1.5
forecast_period (time) timedelta64[ns] 449 days 18:00:00 ...
Attributes:
Model scenario: E1
STASH: m01s03i236
Conventions: CF-1.5
source: Data from Met Office Unified Model 6.05
standard_name: air_temperature
units: K
>>> print(cube)
air_temperature / (K) (time: 240; latitude: 37; longitude: 49)
Dimension coordinates:
time x - -
latitude - x -
longitude - - x
Auxiliary coordinates:
forecast_period x - -
Scalar coordinates:
forecast_reference_time: 1859-09-01 06:00:00
height: 1.5 m
Attributes:
Conventions: CF-1.5
Model scenario: E1
STASH: m01s03i236
source: Data from Met Office Unified Model 6.05
Cell methods:
mean: time (6 hour
>>> print(darray.to_iris())
air_temperature / (K) (time: 240; latitude: 37; longitude: 49)
Dimension coordinates:
time x - -
latitude - x -
longitude - - x
Auxiliary coordinates:
forecast_period x - -
Scalar coordinates:
forecast_reference_time: 1859-09-01 06:00:00
height: 1.5 m
Attributes:
Model scenario: E1
source: Data from Met Office Unified Model 6.05
ukmo__um_stash_source: m01s03i236
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657
https://github.com/pydata/xarray/pull/814#issuecomment-204337823,https://api.github.com/repos/pydata/xarray/issues/814,204337823,MDEyOklzc3VlQ29tbWVudDIwNDMzNzgyMw==,6215361,2016-04-01T10:09:31Z,2016-04-01T10:09:31Z,NONE,"Reference https://github.com/pydata/xarray/issues/621 and https://github.com/pydata/xarray/issues/37. Uses template from https://github.com/pydata/xarray/pull/236.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145140657