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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/742#issuecomment-226486770 https://api.github.com/repos/pydata/xarray/issues/742 226486770 MDEyOklzc3VlQ29tbWVudDIyNjQ4Njc3MA== 4304478 2016-06-16T13:36:28Z 2016-06-16T13:37:44Z NONE

Something akin to the pandas dataframe update would have value - then you could create an empty array structure and populate it as necessary:

python import pandas as pd df = pd.DataFrame(index=range(5), columns=['a','b','c','d']) df2 = pd.DataFrame(index=range(3), columns=['a'], data=range(3)) df.update(df2)

a b c d 0 0 NaN NaN NaN 1 1 NaN NaN NaN 2 2 NaN NaN NaN 3 NaN NaN NaN NaN 4 NaN NaN NaN NaN

But, not sure if empty array construction is supported?

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