issues: 1963071630

This data as json

id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1963071630 I_kwDOAMm_X851AhiO 8378 Extend DatetimeAccessor with `snap`-method 56583917 open 0     2 2023-10-26T09:16:24Z 2023-10-27T08:08:58Z   CONTRIBUTOR      

Is your feature request related to a problem?

With satellite remote sensing data, you sometimes end up with a blown up DataArray/Dataset because individual acquisitions have been saved in slices:

One could then aggregate these slices with something like this:

python ds.coords['time'] = ds.time.dt.floor('1H') # or .ceil ds = ds_copy.groupby('time').mean()

However, this would miss cases where one slice has been acquired before and the other after a specific hour. The pandas.DatetimeIndex.snap method could be a good alternative for such cases.

Describe the solution you'd like

In addition to the floor, ceil and round methods, it would be great to also implement pandas.DatetimeIndex.snap.

Describe alternatives you've considered

No response

Additional context

No response

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8378/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     13221727 issue

Links from other tables