issue_comments: 1176441916

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/issues/6758#issuecomment-1176441916 https://api.github.com/repos/pydata/xarray/issues/6758 1176441916 IC_kwDOAMm_X85GHxQ8 2448579 2022-07-06T16:40:47Z 2022-07-06T16:40:47Z MEMBER

On xarray main with flox installed:

``` python import numpy as np import xarray as xr display(xr.version)

N = 3728 ds = xr.Dataset() ds["latitude"] = ("x", 0 + 20 * np.random.standard_normal(N)) ds["data"] = ("x", 0 + 100 * np.random.standard_normal(N))

%timeit ds.groupby_bins("latitude", np.arange(-40, 40, 0.1)).sum() ``` 50.3 ms ± 203 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)

You could try it on our pre-release (https://docs.xarray.dev/en/latest/whats-new.html#v2022-06-0rc0-9-june-2022) or use xhistogram which should be faster even.

 
{
    "total_count": 1,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 1,
    "rocket": 0,
    "eyes": 0
}
   1295939038