issue_comments: 193501447

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https://github.com/pydata/xarray/issues/783#issuecomment-193501447 https://api.github.com/repos/pydata/xarray/issues/783 193501447 MDEyOklzc3VlQ29tbWVudDE5MzUwMTQ0Nw== 306380 2016-03-07T23:22:46Z 2016-03-07T23:22:46Z MEMBER

It looks like the issue is in these lines:

(Pdb) pp rlzns.xParticle.data dask.array<getitem..., shape=(3630, 100), dtype=float64, chunksize=(21, 100)> (Pdb) pp rlzns.xParticle[rnum*Ntr:(rnum+1)*Ntr,:].data dask.array<getitem..., shape=(30, 100), dtype=float64, chunksize=(23, 100)> (Pdb) pp rlzns.xParticle[rnum*Ntr:(rnum+1)*Ntr,:].data.compute().shape (29, 100)

I'm confused by the chunksize change from 21 to 23.

In straight dask.array I'm unable to reproduce this problem, although obviously I'm doing something differently here than how xarray does things.

``` python In [1]: import dask.array as da x In [2]: x = da.ones((3630, 100), chunks=(21, 100))

In [3]: y = x[730:830, :]

In [4]: y.shape Out[4]: (30, 100)

In [5]: y.compute().shape Out[5]: (30, 100)

In [6]: y.chunks Out[6]: ((21, 9), (100,)) ```

It would be awesome if you all could produce a failing example with just dask.array.

 
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