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  • chfite · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1577528999 https://github.com/pydata/xarray/issues/7894#issuecomment-1577528999 https://api.github.com/repos/pydata/xarray/issues/7894 IC_kwDOAMm_X85eBy6n chfite 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.

 
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   Can a "skipna" argument be added for Dataset.integrate() and DataArray.integrate()? 1742035781
620018834 https://github.com/pydata/xarray/issues/4008#issuecomment-620018834 https://api.github.com/repos/pydata/xarray/issues/4008 MDEyOklzc3VlQ29tbWVudDYyMDAxODgzNA== chfite 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?

 
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   Can Resample dim be spatial and not just datetime? 607229563

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