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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
377356113 MDU6SXNzdWUzNzczNTYxMTM= 2542 full_like, ones_like, zeros_like should retain subclasses gerritholl 500246 closed 0     4 2018-11-05T11:22:49Z 2023-11-05T06:27:31Z 2023-11-05T06:27:31Z CONTRIBUTOR      

Code Sample,

```python

Your code here

import numpy import xarray

class MyDataArray(xarray.DataArray): pass

da = MyDataArray(numpy.arange(5)) da2 = xarray.zeros_like(da) print(type(da), type(da2))

```

Problem description

I would expect that type(da2) is type(da), but this is not the case. The type of da is always <class 'xarray.core.dataarray.DataArray'>. Rather, the output of this script is:

<class '__main__.MyDataArray'> <class 'xarray.core.dataarray.DataArray'>

Expected Output

I would hope as an output:

<class '__main__.MyDataArray'> <class '__main__.MyDataArray'>

In principle changing this could break people's code, so if a change is implemented it should probably be through an optional keyword argument to the full_like/ones_like/zeros_like family.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.7.0.final.0 python-bits: 64 OS: Linux OS-release: 2.6.32-754.el6.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 xarray: 0.10.7 pandas: 0.23.2 numpy: 1.15.2 scipy: 1.1.0 netCDF4: 1.4.0 h5netcdf: 0.6.1 h5py: 2.8.0 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: None dask: 0.18.1 distributed: 1.22.0 matplotlib: 3.0.0 cartopy: 0.16.0 seaborn: 0.9.0 setuptools: 39.2.0 pip: 18.0 conda: None pytest: 3.2.2 IPython: 6.4.0 sphinx: None 
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   not_planned xarray 13221727 issue

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