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/1805#issuecomment-354810393,https://api.github.com/repos/pydata/xarray/issues/1805,354810393,MDEyOklzc3VlQ29tbWVudDM1NDgxMDM5Mw==,1217238,2018-01-02T16:41:46Z,2018-01-02T16:41:46Z,MEMBER,@mobigroup `copy(deep=True)` makes an independent copy but again (as of #1024) does not load data into memory. You need to use `.compute()` or `.load()` to load the dask arrays into memory.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,285294506
https://github.com/pydata/xarray/issues/1805#issuecomment-354705941,https://api.github.com/repos/pydata/xarray/issues/1805,354705941,MDEyOklzc3VlQ29tbWVudDM1NDcwNTk0MQ==,1217238,2018-01-02T05:40:38Z,2018-01-02T05:57:03Z,MEMBER,"OK, I can reproduce this. The problem is assigning to specific elements of `.values` when a DataArray's data is not stored as a NumPy array, e.g., if it is a dask array or one of xarray's lazy array classes (used internally for lazy access when opening netCDF files). In practice, this arises with `open_mfdataset()` or `open_dataset(..., cache=False)`.

It's not entirely obvious how to fix this. Probably the simplest fix is to make `.values` a readonly numpy array in these cases, so that an error is raised in these cases. This would usually works, but could lead to issues with passing arrays to scikit-learn or pandas due to a Cython bug with read-only memoryview buffers (https://github.com/cython/cython/issues/1605).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,285294506
https://github.com/pydata/xarray/issues/1805#issuecomment-354706872,https://api.github.com/repos/pydata/xarray/issues/1805,354706872,MDEyOklzc3VlQ29tbWVudDM1NDcwNjg3Mg==,1217238,2018-01-02T05:56:23Z,2018-01-02T05:56:33Z,MEMBER,"> Hm, I tested with ""cache=True"" but it still doesn't work.

I meant `open_dataset(cache=False)` (it arises with either value for `cache` for `open_mfdataset`).

> So old code is broken now.

Yes, this is an unfortunate/unintended consequence of https://github.com/pydata/xarray/pull/1024 (""Disable automatic cache with dask"").","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,285294506
https://github.com/pydata/xarray/issues/1805#issuecomment-354674571,https://api.github.com/repos/pydata/xarray/issues/1805,354674571,MDEyOklzc3VlQ29tbWVudDM1NDY3NDU3MQ==,1217238,2018-01-01T20:28:59Z,2018-01-01T20:28:59Z,MEMBER,"Can you share full information for how you created this dataset? I cannot reproduce this:
```
In [36]: test = xr.DataArray(np.ones(10),
    ...:                 coords={
    ...:                     'x': range(10)
    ...:                 },
    ...:                 dims=['x']
    ...:     ).chunk()
    ...:

In [37]: test
Out[37]:
<xarray.DataArray (x: 10)>
dask.array<shape=(10,), dtype=float64, chunksize=(10,)>
Coordinates:
  * x        (x) int64 0 1 2 3 4 5 6 7 8 9

In [38]: test.values = 0 * test.values

In [39]: test.values
Out[39]: array([ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.])
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,285294506