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-561264615,https://api.github.com/repos/pydata/xarray/issues/1805,561264615,MDEyOklzc3VlQ29tbWVudDU2MTI2NDYxNQ==,26384082,2019-12-03T17:09:29Z,2019-12-03T17:09:29Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity
If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""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-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-354709385,https://api.github.com/repos/pydata/xarray/issues/1805,354709385,MDEyOklzc3VlQ29tbWVudDM1NDcwOTM4NQ==,7342379,2018-01-02T06:33:38Z,2018-01-02T06:34:15Z,NONE,"And in-memory dataarray couldn't be modified too:
```
import xarray as xr
ds = xr.open_mfdataset('./nctiles_monthly/TFLUX/TFLUX*.nc',concat_dim='tile')
TFLUX = ds.TFLUX.copy(deep=True)
TFLUX.values[1,1,1] = 0*TFLUX.values[1,1,1]
TFLUX.values[1,1,1]
array([ 60.46262741, 57.78710175, 56.33338547, 56.44807434,
...,
76.84630585, 74.65901184], dtype=float32)
```
But why?","{""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-354707556,https://api.github.com/repos/pydata/xarray/issues/1805,354707556,MDEyOklzc3VlQ29tbWVudDM1NDcwNzU1Ng==,7342379,2018-01-02T06:06:42Z,2018-01-02T06:06:42Z,NONE,"Is it possible to fix the ""cache"" option for open_mfdataset()? And raise error in other case.","{""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-354706693,https://api.github.com/repos/pydata/xarray/issues/1805,354706693,MDEyOklzc3VlQ29tbWVudDM1NDcwNjY5Mw==,7342379,2018-01-02T05:53:26Z,2018-01-02T05:53:26Z,NONE,"> In practice, this arises with open_mfdataset() or open_dataset() with cache=False.
Hm, I tested with ""cache=True"" but it still doesn't work.","{""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-354706420,https://api.github.com/repos/pydata/xarray/issues/1805,354706420,MDEyOklzc3VlQ29tbWVudDM1NDcwNjQyMA==,7342379,2018-01-02T05:49:06Z,2018-01-02T05:49:06Z,NONE,"```
pip2 install xarray==0.8.2
```
```
import xarray as xr
ds = xr.open_mfdataset('./nctiles_monthly/TFLUX/TFLUX*.nc',concat_dim='tile')
TFLUX = ds.TFLUX
TFLUX.values[1,1,1] = 0*TFLUX.values[1,1,1]
TFLUX.values[1,1,1]
array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
...,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)
```
So old code is broken now.","{""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-354706237,https://api.github.com/repos/pydata/xarray/issues/1805,354706237,MDEyOklzc3VlQ29tbWVudDM1NDcwNjIzNw==,7342379,2018-01-02T05:45:55Z,2018-01-02T05:45:55Z,NONE,It's works correct for xarray 0.8.2...,"{""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-354705066,https://api.github.com/repos/pydata/xarray/issues/1805,354705066,MDEyOklzc3VlQ29tbWVudDM1NDcwNTA2Ng==,7342379,2018-01-02T05:25:31Z,2018-01-02T05:25:31Z,NONE,"I use this dataset:
ftp://mit.ecco-group.org/ecco_for_las/version_4/release2/nctiles_monthly/TFLUX
My code:
```
import xarray as xr
ds = xr.open_mfdataset('./nctiles_monthly/TFLUX/TFLUX*.nc',concat_dim='tile')
TFLUX = ds.TFLUX
TFLUX.values[1,1,1] = 0*TFLUX.values[1,1,1]
TFLUX.values[1,1,1]
array([ 60.46262741, 57.78710175, 56.33338547, 56.44807434,
...,
76.84630585, 74.65901184], dtype=float32)
```
Also
```
xarray.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.14.final.0
python-bits: 64
OS: Darwin
OS-release: 17.3.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: None.None
xarray: 0.10.0
pandas: 0.22.0
numpy: 1.13.3
scipy: 0.18.1
netCDF4: 1.2.6
h5netcdf: None
Nio: None
bottleneck: None
cyordereddict: None
dask: 0.16.0
matplotlib: 2.1.0
cartopy: None
seaborn: None
setuptools: 36.5.0
pip: 9.0.1
conda: None
pytest: 3.2.3
IPython: 5.1.0
sphinx: None
```","{""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]:
dask.array
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