issues: 602793814
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
602793814 | MDU6SXNzdWU2MDI3OTM4MTQ= | 3984 | Support flexible DataArray shapes in Dataset | 1559890 | closed | 0 | 4 | 2020-04-19T18:57:07Z | 2020-09-26T00:02:12Z | 2020-09-26T00:02:12Z | NONE | I always use Pandas to deal with my neuroscience data (multi-dimension). It is annoying to stack and unstack all the time and I heard Xarray is designed for multi-dimension data. In neuroscience research, we usually have multiple participants and we will test them different times, which means the data may look like this:
(100 and 101 are the testing times) But Dataset doesn't support to have 2*5*100 DataArray and 2*5*101 DataArray together. Is there any solution to deal with that kind of data in Xarray? |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/3984/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | 13221727 | issue |