issue_comments: 550035303

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https://github.com/pydata/xarray/issues/1251#issuecomment-550035303 https://api.github.com/repos/pydata/xarray/issues/1251 550035303 MDEyOklzc3VlQ29tbWVudDU1MDAzNTMwMw== 5635139 2019-11-05T21:44:44Z 2019-11-05T21:44:44Z MEMBER

OK. Does that inform your view on map vs apply?

I more strongly think that apply is a confusing and non-standard term for "run this function on each item in this container", even if it's pandas' name.

I'm keener to offer map an as option that necessarily reusing apply.

What are your thoughts re: - Adding map as the documented approach for run-on-each on Dataset & GroupBy - Adding apply_raw (or similar) as a new function that runs functions on the 'raw' arrays - Keeping apply around for backward-compat, similar to the drop case

 
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