home / github

Menu
  • Search all tables
  • GraphQL API

issues

Table actions
  • GraphQL API for issues

1 row where comments = 5, state_reason = "completed" and user = 35968931 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)

type 1

  • issue 1

state 1

  • closed 1

repo 1

  • xarray 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
453126577 MDU6SXNzdWU0NTMxMjY1Nzc= 3002 plot.pcolormesh fails with shading='gouraud' TomNicholas 35968931 closed 0     5 2019-06-06T16:27:00Z 2020-11-29T16:28:32Z 2019-06-06T22:26:35Z MEMBER      

xarray.plot.pcolormesh() fails when you pass the matplotlib.pyplot.pcolormesh() keyword argument shading='gouraud' to it.

Code Sample, a copy-pastable example if possible

```python import matplotlib.pyplot as plt import numpy as np import xarray as xr

lon, lat = np.meshgrid(np.linspace(-20, 20, 5), np.linspace(0, 30, 4)) lon += lat/10 lat += lon/10

da = xr.DataArray(np.arange(20).reshape(4, 5), dims=['y', 'x'], coords = {'lat': (('y', 'x'), lat), 'lon': (('y', 'x'), lon)})

da.plot.pcolormesh('lon', 'lat', shading='gouraud') plt.show() ```

Problem description

This gives an error:

Traceback (most recent call last): File "mwe.py", line 17, in <module> da.plot.pcolormesh('lon', 'lat', shading='gouraud') File "/home/tegn500/Documents/Work/Code/xarray/xarray/plot/plot.py", line 721, in plotmethod return newplotfunc(**allargs) File "/home/tegn500/Documents/Work/Code/xarray/xarray/plot/plot.py", line 662, in newplotfunc **kwargs) File "/home/tegn500/Documents/Work/Code/xarray/xarray/plot/plot.py", line 864, in pcolormesh primitive = ax.pcolormesh(x, y, z, **kwargs) File "/home/tegn500/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/__init__.py", line 1805, in inner return func(ax, *args, **kwargs) File "/home/tegn500/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 5971, in pcolormesh X, Y, C = self._pcolorargs('pcolormesh', *args, allmatch=allmatch) File "/home/tegn500/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 5559, in _pcolorargs C.shape, Nx, Ny, funcname)) TypeError: Dimensions of C (4, 5) are incompatible with X (6) and/or Y (5); see help(pcolormesh)

Expected Output

This should give almost the same image as in the documentation, just with smoother shading:

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3002/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]);
Powered by Datasette · Queries took 27.124ms · About: xarray-datasette