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/2275#issuecomment-404088892,https://api.github.com/repos/pydata/xarray/issues/2275,404088892,MDEyOklzc3VlQ29tbWVudDQwNDA4ODg5Mg==,16919188,2018-07-11T08:31:53Z,2018-07-11T08:31:53Z,NONE,I updated the netcdf4 librairie and it's works. Thanks,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,339909651
https://github.com/pydata/xarray/issues/2275#issuecomment-404082788,https://api.github.com/repos/pydata/xarray/issues/2275,404082788,MDEyOklzc3VlQ29tbWVudDQwNDA4Mjc4OA==,16919188,2018-07-11T08:09:32Z,2018-07-11T08:09:32Z,NONE,"This error appears immediately when i write <code>xr.open_dataset(f)</code> on Ipython console :

<code>An error ocurred while starting the kernel
*** Error in `/local01/appli/anaconda2/bin/python': free(): invalid next size (fast): 0x0000000003086710 ***</code>
</p></details>
<details open><summary><code>xr.show_versions()
</code></summary><p>

```
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.13.final.0
python-bits: 64
OS: Linux
OS-release: 3.16.0-4-amd64
machine: x86_64
processor: 
byteorder: little
LC_ALL: en_US.iso885915
LANG: fr_FR@euro
LOCALE: None.None

xarray: 0.10.7
pandas: 0.20.3
numpy: 1.13.1
scipy: 0.19.1
netCDF4: 1.2.4
h5netcdf: 0.6.1
h5py: 2.7.0
Nio: None
zarr: None
bottleneck: 1.2.1
cyordereddict: 1.0.0
dask: 0.18.1
distributed: 1.22.0
matplotlib: 2.0.2
cartopy: None
seaborn: None
setuptools: 36.4.0
pip: 9.0.1
conda: 4.5.7
pytest: 3.2.1
IPython: 5.3.0
sphinx: 1.6.3
```
</p></details>","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,339909651
https://github.com/pydata/xarray/issues/1064#issuecomment-261004033,https://api.github.com/repos/pydata/xarray/issues/1064,261004033,MDEyOklzc3VlQ29tbWVudDI2MTAwNDAzMw==,16919188,2016-11-16T16:57:21Z,2016-11-16T16:57:21Z,NONE,"@jhamman  Here my example file
ftp://ftp.irsn.fr/argon/Example
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,185709414
https://github.com/pydata/xarray/issues/1064#issuecomment-260994864,https://api.github.com/repos/pydata/xarray/issues/1064,260994864,MDEyOklzc3VlQ29tbWVudDI2MDk5NDg2NA==,16919188,2016-11-16T16:29:32Z,2016-11-16T16:29:32Z,NONE,"This is the warning I got when I wrote on my file with ""to_necdf()""
xarray\conventions.py:1060: RuntimeWarning: saving variable time with floating point data as an integer dtype without any _FillValue to use for NaNs
  for k, v in iteritems(variables))

@jhamman It's seems than the error appears only with a variable ""rain"" who commes from a previous created netcdf file, but I will try to provide you an example. tanks
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,185709414
https://github.com/pydata/xarray/issues/729#issuecomment-186264260,https://api.github.com/repos/pydata/xarray/issues/729,186264260,MDEyOklzc3VlQ29tbWVudDE4NjI2NDI2MA==,16919188,2016-02-19T15:40:20Z,2016-02-19T15:40:20Z,NONE,"Tank you for your help on this, I will try myself to improve my knoledge of xarray and dask ;)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619
https://github.com/pydata/xarray/issues/729#issuecomment-184157315,https://api.github.com/repos/pydata/xarray/issues/729,184157315,MDEyOklzc3VlQ29tbWVudDE4NDE1NzMxNQ==,16919188,2016-02-15T10:33:36Z,2016-02-15T10:33:36Z,NONE,"@mrocklin is that new link working ? Because it's gonna be closed tomorow.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619
https://github.com/pydata/xarray/issues/729#issuecomment-182875655,https://api.github.com/repos/pydata/xarray/issues/729,182875655,MDEyOklzc3VlQ29tbWVudDE4Mjg3NTY1NQ==,16919188,2016-02-11T13:57:51Z,2016-02-11T13:57:51Z,NONE,"You don't have to apologize for the delay, i'm already grateful for your time on this !

I don't understand why this download won't work with you; I tried with other and everything was ok...
Maybe you can try with this link  :  
[https://sharing.oodrive.com/easyshare/fwd/link=BS6TALAs9CiQg.WNotfITA](https://sharing.oodrive.com/easyshare/fwd/link=BS6TALAs9CiQg.WNotfITA)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619
https://github.com/pydata/xarray/issues/729#issuecomment-181418291,https://api.github.com/repos/pydata/xarray/issues/729,181418291,MDEyOklzc3VlQ29tbWVudDE4MTQxODI5MQ==,16919188,2016-02-08T15:12:21Z,2016-02-08T15:12:21Z,NONE,"@mrocklin I finally gave you a free acces path on ftp://ftp.irsn.fr/argon/SHARE/
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619
https://github.com/pydata/xarray/issues/729#issuecomment-181265026,https://api.github.com/repos/pydata/xarray/issues/729,181265026,MDEyOklzc3VlQ29tbWVudDE4MTI2NTAyNg==,16919188,2016-02-08T09:08:20Z,2016-02-08T13:10:25Z,NONE,"@mrocklin I put my files on ftp://ftp.irsn.fr/argon/SHARE/, everything is in the DEBUG.zip file.

@shoyer I have tried replacing sum() by dot() but I get an error ""Data Array has no attribute 'dot' ""
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619
https://github.com/pydata/xarray/issues/729#issuecomment-178503671,https://api.github.com/repos/pydata/xarray/issues/729,178503671,MDEyOklzc3VlQ29tbWVudDE3ODUwMzY3MQ==,16919188,2016-02-02T10:45:12Z,2016-02-02T17:07:41Z,NONE,"@shoyer @mrocklin I can send you my files, with the two netCDF4 source files and the script. I will also join the Bokeh graph for only one variable which fit with memory.
Do you know how I can send you the ZIP folder ? It's 830 MB.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619
https://github.com/pydata/xarray/issues/729#issuecomment-176693726,https://api.github.com/repos/pydata/xarray/issues/729,176693726,MDEyOklzc3VlQ29tbWVudDE3NjY5MzcyNg==,16919188,2016-01-29T11:00:02Z,2016-01-29T11:00:02Z,NONE,"@mrocklin I have tried your lines, it seemed to work but finally I got the memory error message. However the crash was different than what I used to have...

My dataset is a set of several variables, which are calculated like this :

I have DataArray of unitary data for four rainfall height(0,5,10,15 mm/days,""SYMB"") and another DataArray with spatialized rainfall height values (""RAIN"").

```
SYMB <xray.DataArray (Hpluie: 4, time: 203, NIsoSource: 56, Denree: 19, Paliers: 23)>
dask.array<xray-Fo..., shape=(4, 203, 56, 19, 23), dtype=float64, chunksize=(4, 50, 10, 19, 5)>
```

```
RAIN <xray.DataArray (Paliers: 23, DimK0: 1, DimJ0: 37, DimI0: 15)>
dask.array<xray-Ra..., shape=(23, 1, 37, 15), dtype=float64, chunksize=(5, 1, 20, 15)>
```

Then I created an array which is the result of interpolation between this two arrays
The function  is :

``` python
def interp(array,pluie):

    p0 = (array.sel(Hpluie = 5) -array.sel(Hpluie = 0))/5
    p1 = (array.sel(Hpluie = 10) -array.sel(Hpluie = 5))/5
    p2 = (array.sel(Hpluie = 15) -array.sel(Hpluie = 10))/5

    interp = (p0*(pluie.where(pluie<5) - array.Hpluie.sel(Hpluie=5)) +array.sel(Hpluie=5)).fillna(0)\
        +(p1*(pluie.where((pluie>=5) & (pluie<=10)) - array.Hpluie.sel(Hpluie=5)) +array.sel(Hpluie=5)).fillna(0)\
        +(p2*(pluie.where(pluie>10) - array.Hpluie.sel(Hpluie=10)) + array.sel(Hpluie=10)).fillna(0)   
    return interp
```

So  M = interp(SYMB,RAIN)

```
M  <xray.DataArray (time: 203, NIsoSource: 56, Denree: 19, Paliers: 23, DimK0: 1, DimJ0: 37, DimI0: 15)>
dask.array<elemwis..., shape=(203, 56, 19, 23, 1, 37, 15), dtype=float64, chunksize=(50, 10, 19, 5, 1, 20, 15)>
```

My final variable is the product of this interpolated array and an other spatialized variable(""FLUX"")

```
FLUX <xray.DataArray 'Flux_Moyen_Depot_Sec' (Paliers: 23, DimK0: 1, DimJ0: 37, DimI0: 15, NIsoSource: 56)>
dask.array<xray-Fl..., shape=(23, 1, 37, 15, 56), dtype=float64, chunksize=(5, 1, 20, 15, 10)>
```

RES = (M \* FLUX).sum(""Paliers"")

```
RES = <xray.DataArray (DimK0: 1, DimJ0: 37, DimI0: 15, NIsoSource: 56, time: 203, Denree: 19)>
dask.array<p_reduc..., shape=(1, 37, 15, 56, 203, 19), dtype=float64, chunksize=(1, 20, 15, 10, 50, 19
```

I hope this is at less understandable... 
thanks a lot for your help 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,129150619