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/4240#issuecomment-1267571723,https://api.github.com/repos/pydata/xarray/issues/4240,1267571723,IC_kwDOAMm_X85LjZwL,2656596,2022-10-04T20:58:37Z,2022-10-04T21:00:08Z,NONE,Running `xarray.backends.file_manager.FILE_CACHE.clear()` fixed the issue for me. I couldn't find any other way to stop xarray from pulling up some old data from a newly saved file. I'm using the h5netcdf engine with xarray version 2022.6.0 by the way.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,662505658
https://github.com/pydata/xarray/issues/3486#issuecomment-906023525,https://api.github.com/repos/pydata/xarray/issues/3486,906023525,IC_kwDOAMm_X842ANJl,2656596,2021-08-26T02:19:50Z,2021-08-26T02:19:50Z,NONE,"This seems to be an ongoing problem ([Unexpected behaviour when chunking with multiple netcdf files in xarray/dask](https://stackoverflow.com/questions/62932044/unexpected-behaviour-when-chunking-with-multiple-netcdf-files-in-xarray-dask), [Performance of chunking in xarray / dask when opening and re-chunking a dataset](https://stackoverflow.com/questions/58838873/performance-of-chunking-in-xarray-dask-when-opening-and-re-chunking-a-dataset)) that has not been resolved nor has feedback been provided.

I've been running into this problem trying to handle netcdfs that are larger than my RAM. From my testing, chunks must be passed with open_mfdataset to be of any use. The chunks method on the datatset after opening seems to do nothing in this use case.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,517799069
https://github.com/pydata/xarray/pull/3545#issuecomment-871210504,https://api.github.com/repos/pydata/xarray/issues/3545,871210504,MDEyOklzc3VlQ29tbWVudDg3MTIxMDUwNA==,2656596,2021-06-30T08:41:29Z,2021-06-30T08:41:29Z,NONE,Has this been implemented? Or is it still failing the tests?,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,524043729
https://github.com/pydata/xarray/issues/2995#issuecomment-723528226,https://api.github.com/repos/pydata/xarray/issues/2995,723528226,MDEyOklzc3VlQ29tbWVudDcyMzUyODIyNg==,2656596,2020-11-08T04:13:39Z,2020-11-08T04:13:39Z,NONE,"Hi all,

I'd love to have an effective method to save a netcdf4 Dataset to a bytes object (for the S3 purpose specifically). I'm currently using netcdf3 through scipy as described earlier which works fine, but I'm just missing out on some newer netcdf4 options as a consequence.

Thanks!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,449706080
https://github.com/pydata/xarray/issues/2993#issuecomment-509039163,https://api.github.com/repos/pydata/xarray/issues/2993,509039163,MDEyOklzc3VlQ29tbWVudDUwOTAzOTE2Mw==,2656596,2019-07-07T23:30:40Z,2019-07-07T23:30:40Z,NONE,"After a little bit of testing, I've found out that setting decode_cf=False reads it in without an error.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,449004641
https://github.com/pydata/xarray/issues/2993#issuecomment-509011157,https://api.github.com/repos/pydata/xarray/issues/2993,509011157,MDEyOklzc3VlQ29tbWVudDUwOTAxMTE1Nw==,2656596,2019-07-07T16:00:38Z,2019-07-07T16:00:38Z,NONE,"I would also like to see if this issue could be looked at. I'm also trying to query the NASA server. This used to work in previous versions of xarray.
Thanks.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,449004641
https://github.com/pydata/xarray/issues/1672#issuecomment-450477528,https://api.github.com/repos/pydata/xarray/issues/1672,450477528,MDEyOklzc3VlQ29tbWVudDQ1MDQ3NzUyOA==,2656596,2018-12-29T09:01:45Z,2018-12-29T09:01:45Z,NONE,"I would love to have this capability. As @shoyer mentioned, for adding time steps of any sort to existing netcdf files would be really beneficial. The only real alternative is to save a netcdf file for each additional time step...even if there are tons of time steps and each file is a couple hundred KBs (which is my situation with NASA data).

I'll look into it if I get some time...","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,269700511
https://github.com/pydata/xarray/issues/2411#issuecomment-420875176,https://api.github.com/repos/pydata/xarray/issues/2411,420875176,MDEyOklzc3VlQ29tbWVudDQyMDg3NTE3Ng==,2656596,2018-09-13T03:54:17Z,2018-09-13T03:54:17Z,NONE,I'm very sorry. It turns out that it was an old dependency issue with the 64bit version. I thought I had updated both...but they were not...,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,359307319
https://github.com/pydata/xarray/issues/1681#issuecomment-341241720,https://api.github.com/repos/pydata/xarray/issues/1681,341241720,MDEyOklzc3VlQ29tbWVudDM0MTI0MTcyMA==,2656596,2017-11-01T21:03:10Z,2017-11-02T04:45:12Z,NONE,"Thanks for the reply.
I'm currently using netcdf4 version 1.2.2, which seems slightly old but that's the default conda package.
Ok, so just to clarify...
The `TypeError` is correct in stating that each attribute value must be ""a number, string, ndarray or a list/tuple of numbers/strings""?
Those are the only options, correct?

Thanks again.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,270440308
https://github.com/pydata/xarray/issues/1077#issuecomment-285972485,https://api.github.com/repos/pydata/xarray/issues/1077,285972485,MDEyOklzc3VlQ29tbWVudDI4NTk3MjQ4NQ==,2656596,2017-03-12T20:12:42Z,2017-03-12T20:12:42Z,NONE,"I would love to have this functionality as well. Unfortunately, I'm not knowledgeable enough to help decide on the internal structure for multiindeces though.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187069161