home / github / issue_comments

Menu
  • GraphQL API
  • Search all tables

issue_comments: 774684442

This data as json

html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
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) ```

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  802737682
Powered by Datasette · Queries took 78.144ms · About: xarray-datasette