issue_comments: 551359502
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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/3445#issuecomment-551359502 | https://api.github.com/repos/pydata/xarray/issues/3445 | 551359502 | MDEyOklzc3VlQ29tbWVudDU1MTM1OTUwMg== | 10554254 | 2019-11-08T02:41:13Z | 2019-11-08T02:41:13Z | NONE | @El-minadero from the sparse API page I'm seeing two methods for combining data: ```python import sparse import numpy as np A = sparse.COO.from_numpy(np.array([[1, 2], [3, 4]])) B = sparse.COO.from_numpy(np.array([[5, 9], [6, 8]])) sparse.stack([A,B]).todense() Out[1]: array([[[1, 2], [3, 4]], [[5, 9], [6, 8]]]) sparse.concatenate([A,B]).todense() Out[2]:
array([[1, 2],
[3, 4],
[5, 9],
[6, 8]])
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