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/7541#issuecomment-1435056645,https://api.github.com/repos/pydata/xarray/issues/7541,1435056645,IC_kwDOAMm_X85ViToF,11750960,2023-02-17T18:12:10Z,2023-02-17T18:12:10Z,CONTRIBUTOR,An issue already exists on the dask issue tracker https://github.com/dask/dask/issues/5679,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1589771368
https://github.com/pydata/xarray/issues/7541#issuecomment-1435054875,https://api.github.com/repos/pydata/xarray/issues/7541,1435054875,IC_kwDOAMm_X85ViTMb,11750960,2023-02-17T18:10:36Z,2023-02-17T18:10:36Z,CONTRIBUTOR,"This seems to be an upstream issue:
```
da.data.std(axis=0).compute()
```
I will close shortly, apologizes","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1589771368
https://github.com/pydata/xarray/issues/4284#issuecomment-667585879,https://api.github.com/repos/pydata/xarray/issues/4284,667585879,MDEyOklzc3VlQ29tbWVudDY2NzU4NTg3OQ==,11750960,2020-08-01T20:54:16Z,2020-08-01T20:54:16Z,CONTRIBUTOR,"I've got issues reproducing this issue, so closing for now.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,667763555
https://github.com/pydata/xarray/pull/4048#issuecomment-631479782,https://api.github.com/repos/pydata/xarray/issues/4048,631479782,MDEyOklzc3VlQ29tbWVudDYzMTQ3OTc4Mg==,11750960,2020-05-20T13:39:25Z,2020-05-20T13:39:25Z,CONTRIBUTOR,"argh ... `saved_on_disk.nc` has been removed.
I was unfortunately not able to create a proper list without breaking tests and have exhausted my time trying to figure it out.
If you know how to do that I am more than happy to follow your advice.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,614854414
https://github.com/pydata/xarray/pull/4048#issuecomment-631461955,https://api.github.com/repos/pydata/xarray/issues/4048,631461955,MDEyOklzc3VlQ29tbWVudDYzMTQ2MTk1NQ==,11750960,2020-05-20T13:07:25Z,2020-05-20T13:07:25Z,CONTRIBUTOR,"ok, tests are passing.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,614854414
https://github.com/pydata/xarray/pull/4048#issuecomment-629416035,https://api.github.com/repos/pydata/xarray/issues/4048,629416035,MDEyOklzc3VlQ29tbWVudDYyOTQxNjAzNQ==,11750960,2020-05-15T18:38:20Z,2020-05-15T18:38:20Z,CONTRIBUTOR,"if anybody has a clue on how to fix tests this would be welcome.
thx
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,614854414
https://github.com/pydata/xarray/issues/4046#issuecomment-625893739,https://api.github.com/repos/pydata/xarray/issues/4046,625893739,MDEyOklzc3VlQ29tbWVudDYyNTg5MzczOQ==,11750960,2020-05-08T16:17:52Z,2020-05-08T16:17:52Z,CONTRIBUTOR,"Thanks for this speedy reply @rabernat !
Improving docs is still within my reach (I hope) and I will give it a shot.
Could this improvement in the document take place in the description of the `encoding` parameter of `xarray.Dataset.to_zarr`?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,614785886
https://github.com/pydata/xarray/pull/3944#issuecomment-611365647,https://api.github.com/repos/pydata/xarray/issues/3944,611365647,MDEyOklzc3VlQ29tbWVudDYxMTM2NTY0Nw==,11750960,2020-04-09T07:01:12Z,2020-04-09T07:01:12Z,CONTRIBUTOR,"you're welcome, I hope one day I'll be to make a more worthy contribution to this great library !","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595666886
https://github.com/pydata/xarray/pull/3944#issuecomment-611328122,https://api.github.com/repos/pydata/xarray/issues/3944,611328122,MDEyOklzc3VlQ29tbWVudDYxMTMyODEyMg==,11750960,2020-04-09T04:57:09Z,2020-04-09T04:57:09Z,CONTRIBUTOR,I would feel bad claiming credit for such a small contribution ... it's not even solving my pb which I should probably better document on the issue tracker.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595666886
https://github.com/pydata/xarray/pull/3944#issuecomment-610918333,https://api.github.com/repos/pydata/xarray/issues/3944,610918333,MDEyOklzc3VlQ29tbWVudDYxMDkxODMzMw==,11750960,2020-04-08T12:03:49Z,2020-04-08T12:03:49Z,CONTRIBUTOR,"Ok, let me know if you need me to do anything else.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595666886
https://github.com/pydata/xarray/pull/3944#issuecomment-610281639,https://api.github.com/repos/pydata/xarray/issues/3944,610281639,MDEyOklzc3VlQ29tbWVudDYxMDI4MTYzOQ==,11750960,2020-04-07T09:31:14Z,2020-04-07T09:31:14Z,CONTRIBUTOR,"Argh, my bad.
This implementation does not solve #1889.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595666886
https://github.com/pydata/xarray/issues/1889#issuecomment-610233017,https://api.github.com/repos/pydata/xarray/issues/1889,610233017,MDEyOklzc3VlQ29tbWVudDYxMDIzMzAxNw==,11750960,2020-04-07T07:48:35Z,2020-04-07T07:48:35Z,CONTRIBUTOR,"hehe. I cannot reopen the issue apparently
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-610232714,https://api.github.com/repos/pydata/xarray/issues/1889,610232714,MDEyOklzc3VlQ29tbWVudDYxMDIzMjcxNA==,11750960,2020-04-07T07:48:00Z,2020-04-07T07:48:00Z,CONTRIBUTOR,"I reopen this issue as it came across my road again when generating figures on a dask.Distributed LocalCluster.
I just open a PR suggesting a change that solves the issue in my situation.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/3932#issuecomment-610167347,https://api.github.com/repos/pydata/xarray/issues/3932,610167347,MDEyOklzc3VlQ29tbWVudDYxMDE2NzM0Nw==,11750960,2020-04-07T04:32:12Z,2020-04-07T04:32:12Z,CONTRIBUTOR,I'll close this for now as there doesn't seem to be other ideas about this,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,593825520
https://github.com/pydata/xarray/issues/3932#issuecomment-609605285,https://api.github.com/repos/pydata/xarray/issues/3932,609605285,MDEyOklzc3VlQ29tbWVudDYwOTYwNTI4NQ==,11750960,2020-04-06T07:08:19Z,2020-04-06T07:08:19Z,CONTRIBUTOR,"This sounds like method 1 (with dask delayed) to me.
There may be no faster option, thanks for giving it a thought @fujiisoup ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,593825520
https://github.com/pydata/xarray/issues/3932#issuecomment-609407162,https://api.github.com/repos/pydata/xarray/issues/3932,609407162,MDEyOklzc3VlQ29tbWVudDYwOTQwNzE2Mg==,11750960,2020-04-05T12:17:15Z,2020-04-05T12:17:47Z,CONTRIBUTOR,"thanks a lot @fujiisoup, your suggestion does help getting rid of the necessity to build the `ds['_y']` variable.
Here is the updated `apply_ufunc` solution:
```
x = np.arange(10*100)
y = np.arange(20*100)
ds = xr.Dataset(coords={'x': x, 'y': y})
# ds = ds.chunk({'x': 1, 'y':1}) # does not change anything
# let's say each experiment outputs 5 statistical diagnostics
Nstats = 5
some_exp = lambda x, y: np.ones((Nstats,))
out = xr.apply_ufunc(some_exp, ds.x, ds.y,
dask='parallelized',
vectorize=True,
output_dtypes=[float],
output_sizes={'stats': Nstats},
output_core_dims=[['stats']])
```
An inspection of the dask dashboard indicates that the computation is not distributed among workers though.
How could I make sure this happens?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,593825520
https://github.com/pydata/xarray/issues/3932#issuecomment-609407192,https://api.github.com/repos/pydata/xarray/issues/3932,609407192,MDEyOklzc3VlQ29tbWVudDYwOTQwNzE5Mg==,11750960,2020-04-05T12:17:26Z,2020-04-05T12:17:26Z,CONTRIBUTOR,sorry closed by accident,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,593825520
https://github.com/pydata/xarray/issues/3933#issuecomment-609071924,https://api.github.com/repos/pydata/xarray/issues/3933,609071924,MDEyOklzc3VlQ29tbWVudDYwOTA3MTkyNA==,11750960,2020-04-04T18:42:10Z,2020-04-04T18:42:10Z,CONTRIBUTOR,thanks to you for the fix @TomNicholas !,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,593860909
https://github.com/pydata/xarray/issues/2808#issuecomment-496876520,https://api.github.com/repos/pydata/xarray/issues/2808,496876520,MDEyOklzc3VlQ29tbWVudDQ5Njg3NjUyMA==,11750960,2019-05-29T10:16:56Z,2019-05-29T10:16:56Z,CONTRIBUTOR,"I have ended up using apply_ufunc at several occasions and have developed a love/hate relationship with it. Often it turned out to be the simplest and most powerful option ... once I figured how to use it.
So thumbs up for an improved documentation.
Undertaking this task seems like a daunting one to me however, mostly because there are many different ways of using `apply_ufunc` I am not familiar with.
Maybe it's the case for other users as well ...?
If this is the case, shouldn't we 1/ gather clean versions of our examples in a temporary place, 2/ sort these examples, and 3/ consider pushing it as a doc ?","{""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,420584430
https://github.com/pydata/xarray/issues/2504#issuecomment-432998937,https://api.github.com/repos/pydata/xarray/issues/2504,432998937,MDEyOklzc3VlQ29tbWVudDQzMjk5ODkzNw==,11750960,2018-10-25T10:27:49Z,2018-10-25T10:27:49Z,CONTRIBUTOR,"```
ds = xr.open_dataset(grid_dir_nc+'Depth.nc', chunks={'face':1}, engine='h5netcdf')
% time print(ds.Depth.mean().values)
```
leads to:
```
CPU times: user 824 ms, sys: 50.4 ms, total: 875 ms
Wall time: 11.3 s
```
and
```
ds = xr.open_dataset(grid_dir_nc+'Depth.nc', chunks={'face':1}).load()
% time print(ds.Depth.mean().values)
```
to
```
CPU times: user 61.9 ms, sys: 22.4 ms, total: 84.3 ms
Wall time: 76.2 ms
```
much better ... thanks a lot for these two solutions.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373449569
https://github.com/pydata/xarray/issues/2504#issuecomment-432672506,https://api.github.com/repos/pydata/xarray/issues/2504,432672506,MDEyOklzc3VlQ29tbWVudDQzMjY3MjUwNg==,11750960,2018-10-24T14:08:07Z,2018-10-24T14:08:07Z,CONTRIBUTOR,"additional information about the file:
```
(equinox) [pontea@visu01 LLC4320]$ ncdump -sh grid_nc/Depth.nc
netcdf Depth {
dimensions:
i = 4320 ;
j = 4320 ;
face = 13 ;
variables:
int64 i(i) ;
i:standard_name = ""x_grid_index"" ;
i:axis = ""X"" ;
i:long_name = ""x-dimension of the t grid"" ;
i:swap_dim = ""XC"" ;
i:_Storage = ""contiguous"" ;
i:_Endianness = ""little"" ;
int64 j(j) ;
j:standard_name = ""y_grid_index"" ;
j:axis = ""Y"" ;
j:long_name = ""y-dimension of the t grid"" ;
j:swap_dim = ""YC"" ;
j:_Storage = ""contiguous"" ;
j:_Endianness = ""little"" ;
int64 face(face) ;
face:standard_name = ""face_index"" ;
face:_Storage = ""contiguous"" ;
face:_Endianness = ""little"" ;
float Depth(face, j, i) ;
Depth:_FillValue = NaNf ;
Depth:standard_name = ""ocean_depth"" ;
Depth:long_name = ""ocean depth"" ;
Depth:units = ""m"" ;
Depth:coordinate = ""XC YC"" ;
Depth:_Storage = ""chunked"" ;
Depth:_ChunkSizes = 1, 480, 480 ;
Depth:_Endianness = ""little"" ;
// global attributes:
:_SuperblockVersion = 0 ;
:_IsNetcdf4 = 1 ;
:_Format = ""netCDF-4"" ;
}
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,373449569
https://github.com/pydata/xarray/issues/2278#issuecomment-404873326,https://api.github.com/repos/pydata/xarray/issues/2278,404873326,MDEyOklzc3VlQ29tbWVudDQwNDg3MzMyNg==,11750960,2018-07-13T15:48:46Z,2018-07-13T15:48:46Z,CONTRIBUTOR,Could you please be more specific about where this is done for netCDF?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,340192831
https://github.com/pydata/xarray/issues/2278#issuecomment-404503718,https://api.github.com/repos/pydata/xarray/issues/2278,404503718,MDEyOklzc3VlQ29tbWVudDQwNDUwMzcxOA==,11750960,2018-07-12T12:59:44Z,2018-07-12T13:00:01Z,CONTRIBUTOR,Note that there is also a fix for case 2 that is simply `del ds['v'].encoding['chunks']` prior to data storage.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,340192831
https://github.com/pydata/xarray/issues/2278#issuecomment-404503025,https://api.github.com/repos/pydata/xarray/issues/2278,404503025,MDEyOklzc3VlQ29tbWVudDQwNDUwMzAyNQ==,11750960,2018-07-12T12:57:17Z,2018-07-12T12:57:35Z,CONTRIBUTOR,"With the same case, I have another error message which may reflect the same issue (or not), maybe you can tell me. The error message is different which is the reason I am posting this.
Starting from the same dataset:
```
nx, ny, nt = 32, 32, 64
ds = xr.Dataset({}, coords={'x':np.arange(nx),'y':np.arange(ny), 't': np.arange(nt)})
ds = ds.assign(v=ds.t*np.cos(np.pi/180./100*ds.x)*np.cos(np.pi/180./50*ds.y))
ds = ds.chunk({'t': 1, 'x': nx/2, 'y': ny/2})
ds.to_zarr('data.zarr', mode='w')
```
Case 1 works fine:
```
ds = ds.chunk({'t': nt, 'x': nx/4, 'y': ny/4})
ds.to_zarr('data_rechunked.zarr', mode='w')
```
Case 2 breaks:
```
ds = xr.open_zarr('data.zarr')
ds = ds.chunk({'t': nt, 'x': nx/4, 'y': ny/4})
ds.to_zarr('data_rechunked.zarr', mode='w')
```
with the following error message:
```
....
NotImplementedError: Specified zarr chunks (1, 16, 16) would overlap multiple dask chunks ((64,), (8, 8, 8, 8), (8, 8, 8, 8)). This is not implemented in xarray yet. Consider rechunking the data using `chunk()` or specifying different chunks in encoding.
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,340192831
https://github.com/pydata/xarray/issues/2278#issuecomment-404415760,https://api.github.com/repos/pydata/xarray/issues/2278,404415760,MDEyOklzc3VlQ29tbWVudDQwNDQxNTc2MA==,11750960,2018-07-12T07:25:36Z,2018-07-12T07:25:36Z,CONTRIBUTOR,"thanks for the workaround suggestion.
Apparently you also need to delete chunks for the `t` singleton coordinate though.
The workaround looks at the end like:
```
ds = xr.open_zarr('data.zarr')
del ds['v'].encoding['chunks']
del ds['t'].encoding['chunks']
ds.isel(t=0).to_zarr('data_t0.zarr', mode='w')
```
Any idea about how serious this is and/or where it's coming from?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,340192831
https://github.com/pydata/xarray/issues/2132#issuecomment-389627375,https://api.github.com/repos/pydata/xarray/issues/2132,389627375,MDEyOklzc3VlQ29tbWVudDM4OTYyNzM3NQ==,11750960,2018-05-16T18:52:59Z,2018-05-16T18:52:59Z,CONTRIBUTOR,"it turned out I had exceeded my quota on the storage.
Sorry about the noise.
I will look into zarr though.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323333361
https://github.com/pydata/xarray/issues/1889#issuecomment-364385357,https://api.github.com/repos/pydata/xarray/issues/1889,364385357,MDEyOklzc3VlQ29tbWVudDM2NDM4NTM1Nw==,11750960,2018-02-09T09:44:50Z,2018-02-09T09:44:50Z,CONTRIBUTOR,"Ok, thanks, do you have a piece of code with a thread-lock that I could get inspiration from?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363437598,https://api.github.com/repos/pydata/xarray/issues/1889,363437598,MDEyOklzc3VlQ29tbWVudDM2MzQzNzU5OA==,11750960,2018-02-06T14:25:59Z,2018-02-06T14:26:10Z,CONTRIBUTOR,"thanks, got it.
I tried the suggested fix but it did not work.
Unfortunately I don't have more time on the subject for a couple of days. I'll keep you posted when I can sort things out.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363430118,https://api.github.com/repos/pydata/xarray/issues/1889,363430118,MDEyOklzc3VlQ29tbWVudDM2MzQzMDExOA==,11750960,2018-02-06T13:59:46Z,2018-02-06T13:59:46Z,CONTRIBUTOR,"Hi,
Yes why not even though I am not too familiar with the process.
I am not even able to properly install the library so far ... `python setup.py install` creates the following library: `/home1/datahome/aponte/.miniconda3/envs/pangeo/lib/python3.6/site-packages/xarray-0.10.0rc1_2_gf83361c-py3.6.egg/`
I am surely doing something wrong, I'd like to have `xarray.egg`.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/896#issuecomment-232115345,https://api.github.com/repos/pydata/xarray/issues/896,232115345,MDEyOklzc3VlQ29tbWVudDIzMjExNTM0NQ==,11750960,2016-07-12T17:18:38Z,2016-07-12T17:18:38Z,CONTRIBUTOR,"Along time_counter
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,165104458
https://github.com/pydata/xarray/issues/896#issuecomment-232114342,https://api.github.com/repos/pydata/xarray/issues/896,232114342,MDEyOklzc3VlQ29tbWVudDIzMjExNDM0Mg==,11750960,2016-07-12T17:15:14Z,2016-07-12T17:15:14Z,CONTRIBUTOR,"Thanks for your answer.
You'll find below an output from ncdump in order to answer the part about data arrangement (I hope ...)
Otherwise, we have:
```
dask 0.8.2 py27_0 defaults
xarray 0.7.2 py27_0 defaults
netcdf4 1.1.1 np18py27_0 defaults
```
Looking forward for any suggestions.
cheers
aurelien
```
netcdf NATL60-MJM155_y2008m01d09.5d_gridT {
dimensions:
x = 5422 ;
y = 3454 ;
deptht = 300 ;
time_counter = UNLIMITED ; // (1 currently)
time_bounds = 2 ;
variables:
float nav_lat(y, x) ;
nav_lat:axis = ""Y"" ;
nav_lat:standard_name = ""latitude"" ;
nav_lat:long_name = ""Latitude"" ;
nav_lat:units = ""degrees_north"" ;
nav_lat:nav_model = ""grid_T"" ;
nav_lat:_Storage = ""chunked"" ;
nav_lat:_ChunkSizes = 12, 5422 ;
float nav_lon(y, x) ;
nav_lon:axis = ""X"" ;
nav_lon:standard_name = ""longitude"" ;
nav_lon:long_name = ""Longitude"" ;
nav_lon:units = ""degrees_east"" ;
nav_lon:nav_model = ""grid_T"" ;
nav_lon:_Storage = ""chunked"" ;
nav_lon:_ChunkSizes = 12, 5422 ;
float deptht(deptht) ;
deptht:axis = ""Z"" ;
deptht:long_name = ""Vertical T levels"" ;
deptht:units = ""m"" ;
deptht:positive = ""down"" ;
deptht:_Storage = ""chunked"" ;
deptht:_ChunkSizes = 300 ;
float votemper(time_counter, deptht, y, x) ;
votemper:long_name = ""temperature"" ;
votemper:units = ""degC"" ;
votemper:online_operation = ""average"" ;
votemper:interval_operation = ""40s"" ;
votemper:interval_write = ""5d"" ;
votemper:_FillValue = 0.f ;
votemper:missing_value = 0.f ;
votemper:coordinates = ""time_centered deptht nav_lon nav_lat"" ;
votemper:_Storage = ""chunked"" ;
votemper:_ChunkSizes = 1, 1, 12, 5422 ;
votemper:_DeflateLevel = 1 ;
double time_centered(time_counter) ;
time_centered:standard_name = ""time"" ;
time_centered:long_name = ""Time axis"" ;
time_centered:title = ""Time"" ;
time_centered:calendar = ""gregorian"" ;
time_centered:units = ""seconds since 1958-01-01 00:00:00"" ;
time_centered:time_origin = ""1958-01-01 00:00:00"" ;
time_centered:bounds = ""time_centered_bounds"" ;
time_centered:_Storage = ""chunked"" ;
time_centered:_ChunkSizes = 1 ;
double time_centered_bounds(time_counter, time_bounds) ;
time_centered_bounds:_Storage = ""chunked"" ;
time_centered_bounds:_ChunkSizes = 1, 2 ;
double time_counter(time_counter) ;
time_counter:axis = ""T"" ;
time_counter:standard_name = ""time"" ;
time_counter:long_name = ""Time axis"" ;
time_counter:title = ""Time"" ;
time_counter:calendar = ""gregorian"" ;
time_counter:units = ""seconds since 1958-01-01 00:00:00"" ;
time_counter:time_origin = ""1958-01-01 00:00:00"" ;
time_counter:bounds = ""time_counter_bounds"" ;
time_counter:_Storage = ""chunked"" ;
time_counter:_ChunkSizes = 1 ;
double time_counter_bounds(time_counter, time_bounds) ;
time_counter_bounds:_Storage = ""chunked"" ;
time_counter_bounds:_ChunkSizes = 1, 2 ;
float vosaline(time_counter, deptht, y, x) ;
vosaline:long_name = ""salinity"" ;
vosaline:units = ""psu"" ;
vosaline:online_operation = ""average"" ;
vosaline:interval_operation = ""40s"" ;
vosaline:interval_write = ""5d"" ;
vosaline:_FillValue = 0.f ;
vosaline:missing_value = 0.f ;
vosaline:coordinates = ""time_centered deptht nav_lon nav_lat"" ;
vosaline:_Storage = ""chunked"" ;
vosaline:_ChunkSizes = 1, 1, 12, 5422 ;
vosaline:_DeflateLevel = 1 ;
float sossheig(time_counter, y, x) ;
sossheig:long_name = ""sea surface height"" ;
sossheig:units = ""m"" ;
sossheig:online_operation = ""average"" ;
sossheig:interval_operation = ""40s"" ;
sossheig:interval_write = ""5d"" ;
sossheig:_FillValue = 0.f ;
sossheig:missing_value = 0.f ;
sossheig:coordinates = ""time_centered nav_lon nav_lat"" ;
sossheig:_Storage = ""chunked"" ;
sossheig:_ChunkSizes = 1, 12, 5422 ;
// global attributes:
:description = ""ocean T grid variables"" ;
:conventions = ""CF-1.1"" ;
:production = ""An IPSL model"" ;
:start_date = 20040101 ;
:output_frequency = ""5d"" ;
:CONFIG = ""NATL60"" ;
:CASE = ""MJM155"" ;
:_Format = ""netCDF-4"" ;
}
```
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