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/2065#issuecomment-383359925,https://api.github.com/repos/pydata/xarray/issues/2065,383359925,MDEyOklzc3VlQ29tbWVudDM4MzM1OTkyNQ==,601025,2018-04-22T06:54:10Z,2018-04-22T06:54:10Z,NONE,"On Apr 21 2018 10:17 PM, Keisuke Fujii wrote:
> How about `reset_index`?
> ```python
> array.stack(z=('x', 'y')).reset_index('z')
> ```

Before I left work for the weekend I had tried array.stack(z=('x', 
'y')), but I had not come across reset_index yet.  I will give that a 
try ASAP.

   EBo --
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,315149637
https://github.com/pydata/xarray/issues/2065#issuecomment-382082786,https://api.github.com/repos/pydata/xarray/issues/2065,382082786,MDEyOklzc3VlQ29tbWVudDM4MjA4Mjc4Ng==,601025,2018-04-17T17:49:54Z,2018-04-17T17:49:54Z,NONE,"Thank you rabernat .  I just tried:

```
array.stack(z=('x', 'y'))
X
> <xarray.DataArray (band: 3, z: 1647861)>
> dask.array<shape=(3, 1647861), dtype=float64, chunksize=(1, 1647861)>
> Coordinates:
>   * band     (band) int64 1 2 3
>   * z        (z) MultiIndex
>   - x        (z) float64 1.939e+05 1.939e+05 1.939e+05 1.939e+05 1.939e+05 ...
>   - y        (z) float64 4.986e+06 4.985e+06 4.985e+06 4.984e+06 4.984e+06 ...
nX = client.compute(X) 
```
and got the following error:

> /home/jldavid3/anaconda3/envs/pangeo/lib/python3.6/site-packages/distributed/worker.py:741: UserWarning: Large object of size 6.61 MB detected in task graph: 
>   ([[[""('reshape-33c73e5277bff381fea27bc752d60c16',  ... e, None), None)
> Consider scattering large objects ahead of time
> with client.scatter to reduce scheduler burden and 
> keep data on workers
> 
>     future = client.submit(func, big_data)    # bad
> 
>     big_future = client.scatter(big_data)     # good
>     future = client.submit(func, big_future)  # good
>   % (format_bytes(len(b)), s))
> distributed.worker - WARNING -  Compute Failed
> Function:  _dask_finalize
> args:      ([[[array([[ 1.11333953,  0.15302669,  2.30724196, ..., -0.49583333,
>         -0.31415252,  0.17898109]])], [array([[ 0.2049355 ,  1.32097473, -1.11873895, ..., -0.10651731,
>          0.69806911,  1.34692913]])], [array([[ 0.59425151, -0.52178773,  0.80188672, ..., -0.83324054,
>         -0.54774213, -0.15842612]])]]], <function Dataset._dask_postcompute at 0x7fbaded21158>, ([(False, 'band', <xarray.IndexVariable 'band' (band: 3)>
> array([1, 2, 3])), (False, 'z', <xarray.IndexVariable 'z' (z: 1647861)>
> array([(193899.75, 4985847.0), (193899.75, 4985391.0), (193899.75, 4984935.0),
>        ..., (805851.75, 4427703.0), (805851.75, 4427247.0),
>        (805851.75, 4426791.0)], dtype=object)), (True, <this-array>, (<function Variable._dask_finalize at 0x7fbadee159d8>, (<function finalize at 0x7fbaf986e8c8>, (), ('band', 'z'), OrderedDict(), None)))], {'z', 'band'}, {'band': 3, 'z': 1647861}, None, None, None), None)
> kwargs:    {}
> Exception: KeyError(<this-array>,)
> 
> distributed.scheduler - ERROR - error from worker inproc://169.154.136.32/2193/2: <this-array>

Do you have any suggestions?  I will read up more on stack later to see what else I can learn, but do you have any suggestions?  I figure I probably am missing an argument or got something out of order.

Thanks again.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,315149637