issue_comments: 1073776411
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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/6377#issuecomment-1073776411 | https://api.github.com/repos/pydata/xarray/issues/6377 | 1073776411 | IC_kwDOAMm_X85AAIcb | 13662783 | 2022-03-21T11:20:26Z | 2022-03-21T11:30:53Z | CONTRIBUTOR | Yeah I think maybe I don't think you'd want to this with Having said that, there is a faster and much cleaner implementation using ```python def custom_replace2(da, to_replace, value): flat = da.values.ravel()
For small example: 4.1 ms ± 144 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)For the larger example: # 14.4 ms ± 592 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)%timeit custom_replace2(da, to_replace, value) ``` This is equal to the implementation of The key trick is the same, relying on sorting. See e.g. also: https://stackoverflow.com/questions/16992713/translate-every-element-in-numpy-array-according-to-key |
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