issues: 750985364
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 750985364 | MDU6SXNzdWU3NTA5ODUzNjQ= | 4610 | Add histogram method | 1197350 | open | 0 | 21 | 2020-11-25T17:05:02Z | 2023-02-16T21:17:57Z | MEMBER | On today's dev call, we discussed the possible role that numpy_groupies could play in xarray (#4540). I noted that many of the use cases for advanced grouping overlap significantly with histogram-type operations. A major need that we have is to take [weighted] histograms over some, but not all, axes of DataArrays. Since groupby doesn't allow this (see #1013), we started the standalone xhistogram package. Given the broad usefulness of this feature, I suggested that we might want to deprecate xhistogram and move the histogram function to xarray. We may want to also reimplement it using numpy_groupies, which I think is smarter than our implementation in xhistogram. I've opened this issue to keep track of the idea. |
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13221727 | issue |