issue_comments: 279464724

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https://github.com/pydata/xarray/issues/1265#issuecomment-279464724 https://api.github.com/repos/pydata/xarray/issues/1265 279464724 MDEyOklzc3VlQ29tbWVudDI3OTQ2NDcyNA== 1217238 2017-02-13T17:40:02Z 2017-02-13T17:40:02Z MEMBER

Xarray adds labels to NumPy array, so it can't handle variable length arrays any better than NumPy.

Basically, your options are to either (a) store stored numpy arrays using dtype=object (not really recommended), (b) pad each array up to a common length with NaNs (used to mark missing values in xarray) or (c) put multiple variables in an xarray.Dataset and use different dimension names for the variable length dimension.

Depending on your exact use case, either (b) or (c) could be a good solution.

 
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