issues: 1180565228

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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
1180565228 I_kwDOAMm_X85GXf7s 6412 numpy datetime conversion with DataArray is not working 43635101 open 0     3 2022-03-25T09:46:12Z 2022-03-29T14:22:11Z   NONE      

What happened?

I have a simple DataArray with datetime[ns] inside, but when I try to convert this to a supported numpy datetime dtype, the results is still a datetime[ns].

Using the values attribute & converting it, returns the correct results

What did you expect to happen?

I excpected the DataArray to be converted in the correct dtype

Minimal Complete Verifiable Example

```Python

time = pd.date_range('2015-01-01 00:00:00', '2015-12-31 23:59:00', inclusive='left', freq='15min') da = xr.DataArray(time) da <xarray.DataArray (dim_0: 35040)> array(['2015-01-01T00:00:00.000000000', '2015-01-01T00:15:00.000000000', '2015-01-01T00:30:00.000000000', ..., '2015-12-31T23:15:00.000000000', '2015-12-31T23:30:00.000000000', '2015-12-31T23:45:00.000000000'], dtype='datetime64[ns]') Coordinates: * dim_0 (dim_0) datetime64[ns] 2015-01-01 ... 2015-12-31T23:45:00

da.astype("datetime64[Y]") <xarray.DataArray (dim_0: 35040)> array(['2015-01-01T00:00:00.000000000', '2015-01-01T00:00:00.000000000', '2015-01-01T00:00:00.000000000', ..., '2015-01-01T00:00:00.000000000', '2015-01-01T00:00:00.000000000', '2015-01-01T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * dim_0 (dim_0) datetime64[ns] 2015-01-01 ... 2015-12-31T23:45:00 da.values.astype("datetime64[Y]") array(['2015', '2015', '2015', ..., '2015', '2015', '2015'], dtype='datetime64[Y]') ```

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS

commit: None python: 3.8.10 (default, Nov 26 2021, 20:14:08) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 5.13.0-37-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.1 libnetcdf: None

xarray: 0.20.2 pandas: 1.4.1 numpy: 1.22.3 scipy: 1.8.0 netCDF4: None pydap: None h5netcdf: None h5py: 3.6.0 Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2022.03.0 distributed: 2022.3.0 matplotlib: 3.5.1 cartopy: None seaborn: None numbagg: None fsspec: 2022.02.0 cupy: None pint: 0.18 sparse: None setuptools: 60.6.0 pip: 22.0.3 conda: None pytest: 6.2.5 IPython: 8.1.1 sphinx: None

 
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     13221727 issue

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