issues

Table actions

3 rows where user = 8282981 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

state 2

type 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
1884175087 I_kwDOAMm_X85wTjrv 8151 Support for a coloarmap dictionary dirtywind 8282981 open 0     6 2023-09-06T14:44:32Z 2024-03-05T21:04:04Z   NONE      

Is your feature request related to a problem?

When I plot multiple lines using xarray.plot.line(), I would like xarray to be able to get the colors from a dictionary and use that for the color of the lines.

Describe the solution you'd like

There are 2 functionalities that can solve this problem 1. Add an argument that takes a dictionary and used the colors provided in the dictionary if the corresponding labels exist. 2. Make it possible to add a colormap dictionary to attributes and xarray.plot uses it whenever a color corresponding to the dimension exists.

Describe alternatives you've considered

No response

Additional context

No response

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8151/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue
1884314681 I_kwDOAMm_X85wUFw5 8152 Different ylim and xlim for axes whem making column/row faceted plots dirtywind 8282981 closed 1     2 2023-09-06T15:57:46Z 2023-09-10T11:15:53Z 2023-09-10T11:15:53Z NONE      

What is your issue?

I am plotting on multiple axes using the col keyword but I want to be able to pass different arguments (xticks, xlim etc.) for the different axes. There doesn't seem to be a method to do that. 

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8152/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue
1865075812 I_kwDOAMm_X85vKsxk 8110 Open large dataset without loading the whole file in RAM dirtywind 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.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/8110/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed 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]);