issues: 611839345
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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 |
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611839345 | MDU6SXNzdWU2MTE4MzkzNDU= | 4025 | Visualize task tree | 12237157 | closed | 0 | 3 | 2020-05-04T12:31:25Z | 2020-05-08T09:10:08Z | 2020-05-04T14:43:25Z | CONTRIBUTOR | While reading this excellent discussion on working with large onetimestep datasets https://discourse.pangeo.io/t/best-practices-to-go-from-1000s-of-netcdf-files-to-analyses-on-a-hpc-cluster/588/10 I asked myself again why we don’t have the task tree visualisation in xarray as we have in dask. Is there a technical reason that prevents us from implementing visualize? This feature would be extremely useful for me. Maybe it’s easier to do this for dataarrays first. ```python ds = rasm Tutorialds = ds.chunk({“time”:2}) ds.visualize() ``` Expected OutputFigure of task tree https://docs.dask.org/en/latest/graphviz.html Problem Descriptionvisualize the task tree only implemented in dask. Now I recreate my xr Problem in dask to circumvent. Nicer would be .visualize() in xarray. |
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completed | 13221727 | issue |