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-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-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