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7 rows where author_association = "MEMBER", issue = 100646364 and user = 1217238 sorted by updated_at descending

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  • shoyer · 7 ✖

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  • faceted plots · 7 ✖

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  • MEMBER · 7 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
137871954 https://github.com/pydata/xarray/pull/527#issuecomment-137871954 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNzg3MTk1NA== shoyer 1217238 2015-09-04T22:35:11Z 2015-09-04T22:35:11Z MEMBER

I haven't been very careful about insisting on a clean git history so far, so don't worry about rebase/squash.

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137869341 https://github.com/pydata/xarray/pull/527#issuecomment-137869341 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNzg2OTM0MQ== shoyer 1217238 2015-09-04T22:19:10Z 2015-09-04T22:19:10Z MEMBER

I think this is pretty much good to go. Merge at your discretion!

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137811989 https://github.com/pydata/xarray/pull/527#issuecomment-137811989 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNzgxMTk4OQ== shoyer 1217238 2015-09-04T18:22:48Z 2015-09-04T18:22:48Z MEMBER

For the simple example in the doc -- use imshow instead of contourf? The result is definitely more aesthetically pleasing:

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137598575 https://github.com/pydata/xarray/pull/527#issuecomment-137598575 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNzU5ODU3NQ== shoyer 1217238 2015-09-03T23:13:01Z 2015-09-03T23:13:01Z MEMBER

see https://github.com/clarkfitzg/xray/pull/1

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137282470 https://github.com/pydata/xarray/pull/527#issuecomment-137282470 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNzI4MjQ3MA== shoyer 1217238 2015-09-03T00:36:16Z 2015-09-03T00:36:16Z MEMBER

@clarkfitzg was that second plot supposed to be different?

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136881281 https://github.com/pydata/xarray/pull/527#issuecomment-136881281 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNjg4MTI4MQ== shoyer 1217238 2015-09-01T22:27:25Z 2015-09-01T22:27:25Z MEMBER

@clarkfitzg Is that something that can fixed simply by adjusting the size argument? Does matplotlib use figure size when determining tick labels? I'm not sure there's much we can do to fix this automatically.

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136848233 https://github.com/pydata/xarray/pull/527#issuecomment-136848233 https://api.github.com/repos/pydata/xarray/issues/527 MDEyOklzc3VlQ29tbWVudDEzNjg0ODIzMw== shoyer 1217238 2015-09-01T20:17:24Z 2015-09-01T20:17:53Z MEMBER

Skipping the missing block looks pretty nice to me!

I'm pretty happy with the aesthetics, though there's a case for copying the behavior from Seaborn, e.g.,

python attend = sns.load_dataset("attention").query('subject < 6') g = sns.FacetGrid(attend, col="subject", col_wrap=3, size=2, ylim=(0, 10), aspect=0.8) g = g.map(plt.plot, "solutions", "score")

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