issue_comments
4 rows where author_association = "CONTRIBUTOR" and issue = 309965118 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Animate DataArrays · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
377571072 | https://github.com/pydata/xarray/issues/2030#issuecomment-377571072 | https://api.github.com/repos/pydata/xarray/issues/2030 | MDEyOklzc3VlQ29tbWVudDM3NzU3MTA3Mg== | tomchor 13205162 | 2018-03-30T17:02:40Z | 2018-03-30T17:03:09Z | CONTRIBUTOR | @philippjfr Even with the alteration I still get a |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Animate DataArrays 309965118 | |
377565812 | https://github.com/pydata/xarray/issues/2030#issuecomment-377565812 | https://api.github.com/repos/pydata/xarray/issues/2030 | MDEyOklzc3VlQ29tbWVudDM3NzU2NTgxMg== | tomchor 13205162 | 2018-03-30T16:40:02Z | 2018-03-30T16:40:02Z | CONTRIBUTOR | @philippjfr Thanks for the comment. I hand't found anything like that. For me, |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Animate DataArrays 309965118 | |
377543021 | https://github.com/pydata/xarray/issues/2030#issuecomment-377543021 | https://api.github.com/repos/pydata/xarray/issues/2030 | MDEyOklzc3VlQ29tbWVudDM3NzU0MzAyMQ== | tomchor 13205162 | 2018-03-30T15:00:44Z | 2018-03-30T15:00:44Z | CONTRIBUTOR | I didn't know holoviews existed, thanks for pointing that out to me. The fact that it can't create an animation file (as far as I could tell so far) does mean I can't use it, though. So I'll still try to pursue the matplotlib animation option, although maybe for most users holoviews+xarray might already be enough (I don't know). |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Animate DataArrays 309965118 | |
377439646 | https://github.com/pydata/xarray/issues/2030#issuecomment-377439646 | https://api.github.com/repos/pydata/xarray/issues/2030 | MDEyOklzc3VlQ29tbWVudDM3NzQzOTY0Ng== | tomchor 13205162 | 2018-03-30T04:02:24Z | 2018-03-30T04:16:17Z | CONTRIBUTOR | Unfortunately I don't have any example with DataArray right now. Since I never could take advantage of DataArray's plotting capabilities for animations, I always did animations using pure Numpy. However, I'm talking about the standard matplotlib animations. Here's an example taken from here: ```import numpy as np import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt import matplotlib.animation as animation def update_line(num, data, line): line.set_data(data[..., :num]) return line, Set up formatting for the movie filesWriter = animation.writers['ffmpeg'] writer = Writer(fps=15, metadata=dict(artist='Me'), bitrate=1800) fig1 = plt.figure() data = np.random.rand(2, 25) l, = plt.plot([], [], 'r-') plt.xlim(0, 1) plt.ylim(0, 1) plt.xlabel('x') plt.title('test') line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l), interval=50, blit=True) line_ani.save('lines.mp4', writer=writer) ``` If you have some directions on a smart way to bring xarray into the picture, maybe I can try to come up with an example that might evolve into a contribution. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Animate DataArrays 309965118 |
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