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issues: 449273877

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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
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:

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

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