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/7894#issuecomment-1577528999,https://api.github.com/repos/pydata/xarray/issues/7894,1577528999,IC_kwDOAMm_X85eBy6n,59711987,2023-06-05T21:59:45Z,2023-06-05T21:59:45Z,NONE,"```
#input array 
>>>array = xr.DataArray([1,3,6,np.nan,19,20,13], dims=['time'], 
        coords=[pd.date_range('2023-06-05 00:00','2023-06-05 06:00',freq='H')])

>>>array
xarray.DataArray(time: 7
array([ 1.,  3.,  6., nan, 19., 20., 13.])
Coordinates:
time  (time)   datetime64[ns]   2023-06-05 ... 2023-06-05T06:
Indexes: (1)
Attributes: (0)

#however the integrated value ends up as a NaN
>>>array.integrate('time')
xarray.DataArray
array(nan)
Coordinates: (0)
Indexes: (0)
Attributes: (0)

#if one still wanted to know the integrated values for where there were values it would essentially by like integrating the separate chunks for where the valid values existed

#first chunk
>>>array.isel(time=slice(0,3)).integrate('time')
xarray.DataArray
array(2.34e+13)
Coordinates: (0)
Indexes: (0)
Attributes: (0)

#second chunk
>>>array.isel(time=slice(4,7)).integrate('time')
xarray.DataArray
array(1.296e+14)
Coordinates: (0)
Indexes: (0)
Attributes: (0)

#and then the sum would be the fully integrated area
```
@dcherian I essentially was wondering whether it was possible for a skipna argument or some kind of NaN handling to be implemented that would allow users to avoid integrating in chunks due to the presence of NaNs. I do not work in dev so I would not know how to implement this, but I thought I'd see if others had thoughts.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1742035781
https://github.com/pydata/xarray/issues/4008#issuecomment-620018834,https://api.github.com/repos/pydata/xarray/issues/4008,620018834,MDEyOklzc3VlQ29tbWVudDYyMDAxODgzNA==,59711987,2020-04-27T14:21:20Z,2020-04-27T14:21:20Z,NONE,"Thanks @dcherian  for the input. `coarsen` looks like it would help me in what I'm doing some, but yeah having to specify ""index space"" is not as ideal in some cases. In theory it would be nice if in `resample` I could provide it the new coords I want it resampled to or something, similar to how you can feed new coords into `interp`. Then I guess it would be able to use those coordinates and `groupby_bins` under the hood to get the coarsened result? How feasible is it for someone with more xarray knowledge than myself to make this change?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,607229563