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Title: Axes.__init__ speedup by QuLogic · Pull Request #8626 · matplotlib/matplotlib · GitHub

Open Graph Title: Axes.__init__ speedup by QuLogic · Pull Request #8626 · matplotlib/matplotlib

X Title: Axes.__init__ speedup by QuLogic · Pull Request #8626 · matplotlib/matplotlib

Description: PR Summary As noted in #6664, Axes.__init__ is fairly slow due to the eventual call to Axis.reset_ticks. @efiring suggested lazy instantiation and @Kojoley was implementing, but I'm unsure of the status. In the meantime though, we still speed things up by avoiding calling cla too many times. Using the example from #6664 with v2.0.x: $ python3 -m timeit \ -s "from matplotlib.figure import Figure; from matplotlib.axes import Axes; fig = Figure()" \ "Axes(fig, (0, 0, 1 ,1))" 10 loops, best of 3: 29.7 msec per loop and master is already a bit faster: $ python -m timeit \ -s "from matplotlib.figure import Figure; from matplotlib.axes import Axes; fig = Figure()" \ "Axes(fig, (0, 0, 1 ,1))" 100 loops, best of 3: 17.7 msec per loop The trouble with Axes.__init__ is that it does a bit too much clearing; Axes.__init__ calls: Axes._init_axis Creates self.xaxis and self.yaxis Axis.__init__ -> Axis.cla (2 calls per Axes) Registers each Axis with two spines via Spine.register_axis Axis.cla is called on the registered Axis (2 Spine * 2 Axis = 4 calls per Axes) Axes.cla - Necessary to finish initializing the Axes in a clean state, though it's generic for any caller. self.xaxis.cla() / self.yaxis.cla() (2 calls per Axes) self.spines[:].cla() (2 spines per Axis = 4 calls per Axes) That makes 12 calls to Axis.cla for only 2 Axis objects. Adding some hidden argument to skip these calls as in this PR would reduce those calls by 6, though the speedup is only approximately 4 times: $ python -m timeit \ -s "from matplotlib.figure import Figure; from matplotlib.axes import Axes; fig = Figure()" \ "Axes(fig, (0, 0, 1 ,1))" 100 loops, best of 3: 4.45 msec per loop PR Checklist [N/A] Has Pytest style unit tests Code is PEP 8 compliant [N/A] New features are documented, with examples if plot related [N/A] Documentation is sphinx and numpydoc compliant [N/A] Added an entry to doc/users/whats_new.rst if major new feature [N/A] Documented in doc/api/api_changes.rst if API changed in a backward-incompatible way

Open Graph Description: PR Summary As noted in #6664, Axes.__init__ is fairly slow due to the eventual call to Axis.reset_ticks. @efiring suggested lazy instantiation and @Kojoley was implementing, but I'm unsure of t...

X Description: PR Summary As noted in #6664, Axes.__init__ is fairly slow due to the eventual call to Axis.reset_ticks. @efiring suggested lazy instantiation and @Kojoley was implementing, but I'm unsure ...

Opengraph URL: https://github.com/matplotlib/matplotlib/pull/8626

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og:image:altPR Summary As noted in #6664, Axes.__init__ is fairly slow due to the eventual call to Axis.reset_ticks. @efiring suggested lazy instantiation and @Kojoley was implementing, but I'm unsure of t...
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6dbcaf1 Don't clear Spines and Axis twice in Axes.__init__. QuLogic May 15, 2017 https://github.com/matplotlib/matplotlib/pull/8626/commits/6dbcaf1e8114ca5337ea2b8727975234225464b8
72821af Don't clear a new Axis when registering with a Spine. QuLogic May 16, 2017 https://github.com/matplotlib/matplotlib/pull/8626/commits/72821afa9a8126eaa6908768a9c0cc05564870e2
4801cbc Skip extra Axis.cla in PolarAxes.__init__ also. QuLogic May 16, 2017 https://github.com/matplotlib/matplotlib/pull/8626/commits/4801cbcda23fb019a43b6ddc03cf343b54f572a9
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