issues: 668905666
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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 |
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| 668905666 | MDU6SXNzdWU2Njg5MDU2NjY= | 4291 | resample function gives 0s instead of NaNs | 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 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 | 13221727 | issue |