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  • Add DataArray.insert_dim · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
384720239 https://github.com/pydata/xarray/issues/170#issuecomment-384720239 https://api.github.com/repos/pydata/xarray/issues/170 MDEyOklzc3VlQ29tbWVudDM4NDcyMDIzOQ== shoyer 1217238 2018-04-26T17:18:00Z 2018-04-26T17:18:00Z MEMBER

expand_dims was added by https://github.com/pydata/xarray/pull/1347.

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  Add DataArray.insert_dim 36238963
248756031 https://github.com/pydata/xarray/issues/170#issuecomment-248756031 https://api.github.com/repos/pydata/xarray/issues/170 MDEyOklzc3VlQ29tbWVudDI0ODc1NjAzMQ== shoyer 1217238 2016-09-21T22:01:44Z 2016-09-21T22:01:44Z MEMBER

Related API: something like array.broadcast_to(other.coords) for broadcasting onto the coordinate system / indexes from another DataArray.

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  Add DataArray.insert_dim 36238963
78551644 https://github.com/pydata/xarray/issues/170#issuecomment-78551644 https://api.github.com/repos/pydata/xarray/issues/170 MDEyOklzc3VlQ29tbWVudDc4NTUxNjQ0 shoyer 1217238 2015-03-12T18:11:39Z 2015-03-12T18:11:39Z MEMBER

FYI you can currently work around this with: xray.concat([array], dim=pd.Index([123], name='y'))

or for a dataset: xray.concat([ds], dim=pd.Index([123], name='y'), concat_over=ds.data_vars)

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  Add DataArray.insert_dim 36238963

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