html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6827#issuecomment-1195752253,https://api.github.com/repos/pydata/xarray/issues/6827,1195752253,IC_kwDOAMm_X85HRbs9,32801740,2022-07-26T17:10:02Z,2022-07-26T18:15:38Z,CONTRIBUTOR,"In the example the naming  and meaning of the arguments of the `__init__` method are different from the `Dataset` base class.

Subclassing is often more reliable when it adheres to the Liskov Substitution Principle which states that objects of a superclass should be replaceable with objects of its subclasses and in other words: a subclass should only add functionality and not reduce it. 

There are some other workarounds though:

If all you need is a convenient custom constructor then you could add a `classmethod` factory method to your subclass or even just use a plain function which returns a `Dataset`.

Another option is to convert your `MyDataset` instances to plain `Dataset` instances before passing them into `xarray.concat`, e.g.
```xarray.concat([ds.to_dataset() for ds in [ds1, ds2, ds3]], dim=""coord1"")```

where your subclass may define as a convenience method:
```
def to_dataset(self):
    """"""Convert to plain Dataset.""""""
    return xarray.Dataset(self, attrs=self.attrs)
````","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1318173644