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/1201#issuecomment-272413551,https://api.github.com/repos/pydata/xarray/issues/1201,272413551,MDEyOklzc3VlQ29tbWVudDI3MjQxMzU1MQ==,10050469,2017-01-13T10:42:02Z,2017-01-13T10:42:02Z,MEMBER,"> I don't understand what you mean by 'adding you own to the signature'. Adding my own what to what signature? ;-) I meant adding your own _keyword argument_ to the _function's signature_","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200364693 https://github.com/pydata/xarray/issues/1201#issuecomment-272398208,https://api.github.com/repos/pydata/xarray/issues/1201,272398208,MDEyOklzc3VlQ29tbWVudDI3MjM5ODIwOA==,10050469,2017-01-13T09:26:05Z,2017-01-13T09:26:05Z,MEMBER,"> However it looks like no xarray code contains the transform keyword. However I definitely can use it in calls to plot(). I don't understand what is going on. Can someone enlighten me? Yes, this is what I meant with xarray not being directly ""cartopy aware"". The reason is that xarray intends to be a general library, and tries to avoid defining too many keyword arguments in order to avoid confusion. However, xarray passes along any kw argument you want to the underlying mpl plot function (https://github.com/pydata/xarray/blob/master/xarray/plot/plot.py#L379). You'll have to catch it first, either from the ``kwargs`` dict or by adding your own to the signature (the latter being recommended only if necessary, for the reason I mentioned above)","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200364693 https://github.com/pydata/xarray/issues/1201#issuecomment-272293971,https://api.github.com/repos/pydata/xarray/issues/1201,272293971,MDEyOklzc3VlQ29tbWVudDI3MjI5Mzk3MQ==,10050469,2017-01-12T21:46:53Z,2017-01-12T21:46:53Z,MEMBER,"> This seems totally reasonable to me, and would be nice because it would improve the consistency between facetted and non-facetted plotting. I don't really understand what you mean here. Neither facetted nor non-facetted plots have any logic to greate geoaxes automatically. Otherwise, yes, I think that any logic making working with cartopy a little easier would be a good addition. The logic creating the axes is located [here](https://github.com/pydata/xarray/blob/master/xarray/plot/utils.py#L231) ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200364693