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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
668905666 MDU6SXNzdWU2Njg5MDU2NjY= 4291 resample function gives 0s instead of NaNs xzenggit 8161792 closed 0     3 2020-07-30T15:59:32Z 2020-08-05T16:55:58Z 2020-08-05T16:55:58Z NONE      

What happened: When I use resample(time='1d').sum(dim='time') to resample a time series with NaNs, the resampled result gives me 0s instead of NaNs, while NaNs should be the correct answer.

What you expected to happen:

NaNs should be the correct answer.

Minimal Complete Verifiable Example:

```python import xarray as xr

dates = pd.date_range('20200101', '20200601', freq='h') data = np.linspace(0, 10, num=len(dates)) data[0:30*24] = np.nan

da = xr.DataArray(data, coords=[dates], dims='time') da.plot()

Instead of NaNs, the resampled time series in January 20202 give us 0s, which not right.

da.resample(time='1d', skipna=True).sum(dim='time', skipna=True).plot() ```

Anything else we need to know?:

Did I misunderstand something here? Thanks!

Environment: xarray - '0.15.1'

Output of <tt>xr.show_versions()</tt> xarray - '0.15.1' 
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   completed xarray 13221727 issue

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