Deepak Cherian comments

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                                            Deepak Cherian

[FEATURE] Support datasets in Grid methods

Now the error is ``` NotImplementedError: Could not find any pre-defined interp grid ufuncs with signature (X:center)->(X:center) ``` for ``` python dataset.map( grid.interp, axis=("X", "Y"), to="center" ) ```

[FEATURE] Support datasets in Grid methods

> before it even realises that you fed it a dataset. I used `Dataset.map` so it receives a DataArray so that part of your code is working well :)

Automatic entries/reminders to fill in whats-new

I don't think you can automate it without squash merging: https://stackoverflow.com/questions/3523534/good-ways-to-manage-a-changelog-using-git

Automatic entries/reminders to fill in whats-new

I thought I had seen something recently but its an emacs/magit thing: https://github.com/magit/magit/pull/3928

Add .sel and .isel equivalent that returns all vars on all grids related to the indexers?

This lines up with the cf xarray discussion: https://github.com/pangeo-data/pangeo/issues/771.

Add .sel and .isel equivalent that returns all vars on all grids related to the indexers?

If you have the `axis` attribute set, you can now do this with cf-xarray: https://cf-xarray.readthedocs.io/en/latest/examples/introduction.html#Slicing EDIT: that's not exactly right. It won't take into account the grid layout. cf_xarray implements...