issue_comments: 116411269
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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 |
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https://github.com/pydata/xarray/issues/448#issuecomment-116411269 | https://api.github.com/repos/pydata/xarray/issues/448 | 116411269 | MDEyOklzc3VlQ29tbWVudDExNjQxMTI2OQ== | 10137 | 2015-06-29T03:22:52Z | 2015-06-29T03:22:52Z | NONE | I agree that it's the point with np.asarray, but given the implementation you'd think np.asanyarray would work. My initial takeaway (until examining the source) was that this was an ndarray with additional attributes and properties. Perhaps, I'm leaning too far towards numpy and too far away from pandas. As background: my usage involves RF pattern data which typically involves a lot of independent variables to lug around as well as the measured data. I'll look into your other suggestions. Thank you for your reply. |
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