issue_comments
1 row where author_association = "MEMBER" and issue = 1445870847 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Use a default value for constant dimensions · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1312087585 | https://github.com/pydata/xarray/pull/7281#issuecomment-1312087585 | https://api.github.com/repos/pydata/xarray/issues/7281 | IC_kwDOAMm_X85ONN4h | Illviljan 14371165 | 2022-11-11T19:14:35Z | 2022-11-11T19:16:42Z | MEMBER | Markersize before PR:
Markersize after PR:
```python
import numpy as np
import matplotlib.pyplot as plt
import xarray as xr
temp = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=["lon", "lat", "year"])
prec = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=["lon", "lat", "year"])
one = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=["lon", "lat", "year"])
blue = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=["lon", "lat", "year"])
ds = xr.Dataset({"temperature": temp, "precipitation": prec, 1: one, "blue": blue})
# Stack the non interesting dims:
# fig, ax = plt.subplots()
# ds.stack(stacked_dim=[...]).plot.scatter(x="temperature", y="precipitation")
fig, ax = plt.subplots()
ds.plot.scatter(x="temperature", y="precipitation", markersize=1)
```
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use a default value for constant dimensions 1445870847 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1