#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: | 065dc779e98d32ec5b081680db5356df98f15ff2
u/tmonteil/MPL-1.4 | Stopgaps:
Dependencies: |
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Comment (by fbissey):
OK so scipy and MPL linear interpolation look pretty much the same on
screen but scipy's nn is ugly and all blocky. scipy's linear is the
fastest
{{{
sage: %timeit P = list_plot3d(l, interpolation_type='linear',
texture="automatic", point_list=True)
100 loops, best of 3: 6.6 ms per loop
sage: %timeit P = list_plot3d(l, interpolation_type='MPLlinear',
texture="automatic", point_list=True)
100 loops, best of 3: 7.71 ms per loop
sage: %timeit P = list_plot3d(l, interpolation_type='nn',
texture="automatic", point_list=True)
100 loops, best of 3: 4.15 ms per loop
}}}
The first one is scipy's linear. nn is fast but blocky[[Image(SP_nn.jpg)]]
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Ticket URL: <http://trac.sagemath.org/ticket/17618#comment:42>
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