#17618: Update matplotlib so that plot_directive is less broken
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Reporter: tmonteil | Owner:
Type: enhancement | Status: new
Priority: major | Milestone: sage-6.5
Component: packages: | Resolution:
standard | Merged in:
Keywords: | Reviewers:
Authors: Thierry Monteil | Work issues:
Report Upstream: N/A | Commit:
Branch: u/fbissey/MPL-1.4 | 8ee674d1b6e6bc2e22d7bc9f0ad9af05cce766d5
Dependencies: | Stopgaps:
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Comment (by tmonteil):
Hi, sorry i was out of connection those days, which is why i did not
answered earlier. @fbissey i am not sure 2 days is a sufficient delay to
let people answer in such community as Sage, involving so much people,
none of which working full time on it.
I am not convinced yet that cubic interpolation is a suitable replacement
for nearest neighborhood, both in terms of speed, meaning and visual
rendering, so i guess this should be inspected further with that respect
(as suggested by @kcrismann in his previous answer). I will try to work on
it later in the day.
I see two things:
- the `delaunay` module of matplotlib is only deprecated for now,
according to the second thread i mentioned earlier: "This will be OK for a
year or two, but eventually we will completely remove
matplotlib.delaunay", so for now it is possible to catch the deprecation
warning and get time to think further. If matplotlib's upgrade is urgent
because it blocks other important packages, let us better go for it than
silently forget a feature.
- If matplotlib decides to get rid of its `delaunay` module, why not
incorporate it in Sage's source code, this is free software after all. We
also have some similar stuff in Sage that could be used as a replacement
as @fbissey suggested with scipy. This can of course be the purpose of
another ticket.
--
Ticket URL: <http://trac.sagemath.org/ticket/17618#comment:26>
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