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
449273877,MDU6SXNzdWU0NDkyNzM4Nzc=,2994,xr.Dataset.drop,3332539,closed,0,,,1,2019-05-28T13:36:18Z,2019-06-20T15:48:00Z,2019-06-20T15:48:00Z,NONE,,,,"Currently, `drop` throws an error if one of the labels doesn't exist. It would be nice to have a parameter in the drop method for optionally ignoring errors like in the pandas.DataFrame.
From the pandas [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop.html):

> errors : {‘ignore’, ‘raise’}, default ‘raise’
>     If ‘ignore’, suppress error and only existing labels are dropped.
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