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/4000#issuecomment-619440580,https://api.github.com/repos/pydata/xarray/issues/4000,619440580,MDEyOklzc3VlQ29tbWVudDYxOTQ0MDU4MA==,2443309,2020-04-25T21:04:50Z,2020-04-25T21:04:50Z,MEMBER,"I agree with @rabernat and @TomNicholas that the easiest/best way to get progress information for computation is to use Dask. 

We may want to consider something like a progress metric for a few Xarray operations that we can't offload to third party libraries. I'm mostly thinking of xarray's combine/merge/concat functions as opportunities for Xarray to improve its user experience. Simply telling the user how a task like `open_mfdataset` is progressing could go a long way toward improving the user's toleration for slow/challenging dataset construction operations (e.g. #1385).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,606165039
https://github.com/pydata/xarray/issues/4000#issuecomment-619003228,https://api.github.com/repos/pydata/xarray/issues/4000,619003228,MDEyOklzc3VlQ29tbWVudDYxOTAwMzIyOA==,35968931,2020-04-24T13:17:46Z,2020-04-24T16:59:25Z,MEMBER,"If your operation uses dask then you can use the [dask progress bar](https://docs.dask.org/en/latest/diagnostics-local.html#progress-bar):
```python
from dask.diagnostics import ProgressBar

with ProgressBar():
     result = analyse(ds)
     result.plot()
```
It looks like
```
[########################################] | 100% Completed | 34.5 s
```

This works for any operation which calls `dask.compute`.

(Also by the way @cwerner because `.to_dataframe()` is a classmethod, you didn't have to initialise the Dataset in your example, you can just do `dsout = xr.Dataset.from_dataframe(data)`)","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,606165039
https://github.com/pydata/xarray/issues/4000#issuecomment-619009819,https://api.github.com/repos/pydata/xarray/issues/4000,619009819,MDEyOklzc3VlQ29tbWVudDYxOTAwOTgxOQ==,1197350,2020-04-24T13:28:20Z,2020-04-24T13:28:52Z,MEMBER,"Whenever working with big data in xarray, the recommendation is to use dask, as @TomNicholas says.

It would be great if we could go directly from a dask.dataframe to an xarray dataset with dask arrays. Unfortunately this is not supported (yet): https://github.com/dask/dask/issues/6058

I believe our dev time would best be spent working on that integration, rather than building progress bars directly into xarray.

also see https://github.com/pydata/xarray/issues/3929","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,606165039