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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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326344778 | MDU6SXNzdWUzMjYzNDQ3Nzg= | 2183 | converting int vars to floats when I where the enclosing ds? | IvoCrnkovic 1778852 | open | 0 | 5 | 2018-05-25T00:48:43Z | 2022-04-09T02:14:23Z | NONE | Code Sample```python test_ds = xr.Dataset() test_ds['var1'] = xr.DataArray(np.arange(5)) test_ds['var2'] = xr.DataArray(np.ones(5)) assert(test_ds['var1'].dtype == np.int64) assert(test_ds.where(test_ds['var2'] == 1)['var1'].dtype == np.int64) ``` Problem descriptionSecond assert fails, which is a bit strange I think. Is that intended? If so, whats the reasoning? Output of
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xarray 13221727 | issue | ||||||||
484699415 | MDU6SXNzdWU0ODQ2OTk0MTU= | 3256 | .item() on a DataArray with dtype='datetime64[ns]' returns int | IvoCrnkovic 1778852 | open | 0 | 4 | 2019-08-23T20:29:50Z | 2022-04-09T02:03:43Z | NONE | MCVE Code Sample```python import datetime import xarray as xr test_da = xr.DataArray(datetime.datetime(2019, 1, 1, 1, 1)) test_da <xarray.DataArray ()>array('2019-01-01T01:01:00.000000000', dtype='datetime64[ns]')test_da.item() 1546304460000000000``` Expected OutputI would think it would be nice to get a Output of
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xarray 13221727 | issue |
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