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/1889#issuecomment-1111547143,https://api.github.com/repos/pydata/xarray/issues/1889,1111547143,IC_kwDOAMm_X85CQN0H,26384082,2022-04-27T22:37:47Z,2022-04-27T22:37:47Z,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}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-687271215,https://api.github.com/repos/pydata/xarray/issues/1889,687271215,MDEyOklzc3VlQ29tbWVudDY4NzI3MTIxNQ==,2448579,2020-09-04T17:02:03Z,2020-09-04T17:02:03Z,MEMBER,"Another way to do this would be to use ` da.map_blocks(plotfunc, template=...)`
with
``` python
def plotfunc(da):
f = plt.figure()
...
f.close()
return da.time # or similar
```
I have used this successfully with a distributed cluster.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-610233017,https://api.github.com/repos/pydata/xarray/issues/1889,610233017,MDEyOklzc3VlQ29tbWVudDYxMDIzMzAxNw==,11750960,2020-04-07T07:48:35Z,2020-04-07T07:48:35Z,CONTRIBUTOR,"hehe. I cannot reopen the issue apparently
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-610232714,https://api.github.com/repos/pydata/xarray/issues/1889,610232714,MDEyOklzc3VlQ29tbWVudDYxMDIzMjcxNA==,11750960,2020-04-07T07:48:00Z,2020-04-07T07:48:00Z,CONTRIBUTOR,"I reopen this issue as it came across my road again when generating figures on a dask.Distributed LocalCluster.
I just open a PR suggesting a change that solves the issue in my situation.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-368384904,https://api.github.com/repos/pydata/xarray/issues/1889,368384904,MDEyOklzc3VlQ29tbWVudDM2ODM4NDkwNA==,2443309,2018-02-26T04:09:14Z,2018-02-26T04:09:14Z,MEMBER,"Closing for now. @apatlpo, feel free to reopen if there's more to discuss here. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-364518238,https://api.github.com/repos/pydata/xarray/issues/1889,364518238,MDEyOklzc3VlQ29tbWVudDM2NDUxODIzOA==,1217238,2018-02-09T18:31:28Z,2018-02-09T18:31:28Z,MEMBER,"@apatlpo sure, something like:
```python
import threading
import matplotlib.pyplot
MPL_LOCK = threading.Lock()
def save_imshow(data, path):
with MPL_LOCK:
fig, ax = plt.subplot()
ax.imshow(data)
fig.savefig(path)
```
`save_imshow()` is now something you safely call in parallel (e.g., from `dask.array.map_blocks()`).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-364385357,https://api.github.com/repos/pydata/xarray/issues/1889,364385357,MDEyOklzc3VlQ29tbWVudDM2NDM4NTM1Nw==,11750960,2018-02-09T09:44:50Z,2018-02-09T09:44:50Z,CONTRIBUTOR,"Ok, thanks, do you have a piece of code with a thread-lock that I could get inspiration from?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363601313,https://api.github.com/repos/pydata/xarray/issues/1889,363601313,MDEyOklzc3VlQ29tbWVudDM2MzYwMTMxMw==,1217238,2018-02-06T23:26:49Z,2018-02-06T23:26:55Z,MEMBER,"I agree that it is certainly a best practice to avoid relying on global state from the pyplot module.
That said, my experience has been that even if you avoid using pyplot functions matplotlib is still not thread-safe ([StackOverflow](https://stackoverflow.com/questions/34764535/why-cant-matplotlib-plot-in-a-different-thread) backs me up here). So you probably will need a thread-lock around your use of any plotting functions, anyways.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363437598,https://api.github.com/repos/pydata/xarray/issues/1889,363437598,MDEyOklzc3VlQ29tbWVudDM2MzQzNzU5OA==,11750960,2018-02-06T14:25:59Z,2018-02-06T14:26:10Z,CONTRIBUTOR,"thanks, got it.
I tried the suggested fix but it did not work.
Unfortunately I don't have more time on the subject for a couple of days. I'll keep you posted when I can sort things out.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363431406,https://api.github.com/repos/pydata/xarray/issues/1889,363431406,MDEyOklzc3VlQ29tbWVudDM2MzQzMTQwNg==,10050469,2018-02-06T14:04:28Z,2018-02-06T14:04:28Z,MEMBER,"You are lucky, we just added a contributing guide to xarray: http://xarray.pydata.org/en/latest/contributing.html ;-)
The recommended way to install xarray (and any other local library btw) is:
```
pip install -e .
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363430118,https://api.github.com/repos/pydata/xarray/issues/1889,363430118,MDEyOklzc3VlQ29tbWVudDM2MzQzMDExOA==,11750960,2018-02-06T13:59:46Z,2018-02-06T13:59:46Z,CONTRIBUTOR,"Hi,
Yes why not even though I am not too familiar with the process.
I am not even able to properly install the library so far ... `python setup.py install` creates the following library: `/home1/datahome/aponte/.miniconda3/envs/pangeo/lib/python3.6/site-packages/xarray-0.10.0rc1_2_gf83361c-py3.6.egg/`
I am surely doing something wrong, I'd like to have `xarray.egg`.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496
https://github.com/pydata/xarray/issues/1889#issuecomment-363416365,https://api.github.com/repos/pydata/xarray/issues/1889,363416365,MDEyOklzc3VlQ29tbWVudDM2MzQxNjM2NQ==,10050469,2018-02-06T13:06:12Z,2018-02-06T13:06:12Z,MEMBER,Thanks for the report! Would you like to open a PR? I think you are the best placed to see if you proposed fixes solve the problem for you ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294735496