issues

Table actions

1 row where state = "open" and user = 8419157 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

type 1

state 1

  • open · 1 ✖

repo 1

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
659142025 MDU6SXNzdWU2NTkxNDIwMjU= 4235 Dataset plot line DancingQuanta 8419157 open 0     5 2020-07-17T10:51:24Z 2022-04-18T06:59:15Z   NONE      

Is your feature request related to a problem? Please describe.

Dataset have one plotting method Dataset.plot.scatter. This uses matplotlb's ax.scatter which have a limited presentation configuration (eg linestyle and marker). I have 2D X and Y data which I like to plot against each other. The DataArray.plot.line works well if I only use a 1D X data.

Describe the solution you'd like

A new plotting method Dataset.plot.line based on matplotlib's ax.plot which will allow me to plot 2D X and Y against each other with flexible presentation configuration. In other to be able to produce 1D lines, this must demand a required 3D dimension as an argument (eg a choice of hue, col or others).

I suspect that as increase in number of dimensions from 1D to 2D for both variables and later to ND, there will be many ways to interpret the arguments given to the plotting function,. However, the fact the method name is line in indicate that it must produce 1D lines, and use other dimensions to create other features such as legend or subplots.

Having seen the code for the Dataset.plot.scatter I am keen to submit a PR to add Dataset.plot.line.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/4235/reactions",
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue

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]);