issues: 1865075812
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1865075812 | I_kwDOAMm_X85vKsxk | 8110 | Open large dataset without loading the whole file in RAM | 8282981 | closed | 1 | 2 | 2023-08-24T12:41:41Z | 2023-08-24T21:49:38Z | 2023-08-24T21:49:38Z | NONE | What is your issue?Is it possible to load a large dataset (larger than available RAM) by providing preconditions similar to standard indexing (for example, sel(dim_x = value))? If not, is it possible to add this functionality? I am planning to use xarray to store data gathered from neuroscience experiments that tend to by quite large and might come across this issue. |
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completed | 13221727 | issue |