issue_comments: 774684442
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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/pull/4871#issuecomment-774684442 | https://api.github.com/repos/pydata/xarray/issues/4871 | 774684442 | MDEyOklzc3VlQ29tbWVudDc3NDY4NDQ0Mg== | 6628425 | 2021-02-07T14:36:50Z | 2021-02-07T15:08:17Z | MEMBER | Thanks @mathause -- indeed the timings are pretty similar. Before: ``` In [1]: import xarray as xr In [2]: times = xr.cftime_range("2000", periods=1000).values In [3]: units = "days since 2000-01-01" In [4]: calendar = "gregorian" In [5]: %%timeit ...: xr.coding.times._encode_datetime_with_cftime(times, units, calendar) 15.5 ms ± 170 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) ``` After: ``` In [1]: import xarray as xr In [2]: times = xr.cftime_range("2000", periods=1000).values In [3]: units = "days since 2000-01-01" In [4]: calendar = "gregorian" In [5]: %%timeit ...: xr.coding.times._encode_datetime_with_cftime(times, units, calendar) 14.9 ms ± 160 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) ``` |
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