home / github

Menu
  • GraphQL API
  • Search all tables

issues

Table actions
  • GraphQL API for issues

2 rows where type = "pull" and user = 29051639 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date), closed_at (date)

state 2

  • closed 1
  • open 1

type 1

  • pull · 2 ✖

repo 1

  • xarray 2
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
758606082 MDExOlB1bGxSZXF1ZXN0NTMzNzUyNDEy 4659 xr.DataArray.from_dask_dataframe feature AyrtonB 29051639 open 0     18 2020-12-07T15:22:52Z 2023-06-08T20:25:58Z   CONTRIBUTOR   0 pydata/xarray/pulls/4659

This feature allows users to convert Dask DataFrames (of a single type) into a DataArray that uses a Dask array. This solves a gap in the Python ecosystem around saving Dask DataFrames to Zarr which is currently not possible without loading the full dataset into memory.

This feature specifically handles the case where a DataFrame is of a single type, a xr.Dataset.from_dask_dataframe could be developed in future to handle the multi-type case.

  • [x] Closes #4650, closes #3929
  • [x] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [x] New functions/methods are listed in api.rst
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/4659/reactions",
    "total_count": 3,
    "+1": 3,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull
757751542 MDExOlB1bGxSZXF1ZXN0NTMzMDcxODYy 4653 corrected a minor spelling mistake AyrtonB 29051639 closed 0     4 2020-12-05T18:16:41Z 2020-12-05T19:18:10Z 2020-12-05T19:03:27Z CONTRIBUTOR   0 pydata/xarray/pulls/4653

What it says on the tin, changed xarrray.open_dataset to xarray.open_dataset.

The mistake was in documentation so no changes to any code have been made

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/4653/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    xarray 13221727 pull

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);
Powered by Datasette · Queries took 20.822ms · About: xarray-datasette