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Commit73d28ee

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Addrasterized option tocontourf (#29582)
* allow rasterization* use rasterized kwarg* add to documentation* Fix copied docstringCo-authored-by: Ruth Comer <10599679+rcomer@users.noreply.github.com>* first pass at test* add image comparison---------Co-authored-by: Ruth Comer <10599679+rcomer@users.noreply.github.com>
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‎lib/matplotlib/contour.py

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@@ -24,6 +24,7 @@
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importmatplotlib.cbookascbook
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importmatplotlib.patchesasmpatches
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importmatplotlib.transformsasmtransforms
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from .importartist
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def_contour_labeler_event_handler(cs,inline,inline_spacing,event):
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edgecolor="none",
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# Default zorder taken from Collection
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zorder=kwargs.pop("zorder",1),
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rasterized=kwargs.pop("rasterized",False),
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)
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else:
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return (i_level,segment,index,xmin,ymin,d2)
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@artist.allow_rasterization
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defdraw(self,renderer):
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paths=self._paths
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n_paths=len(paths)
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data : indexable object, optional
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DATA_PARAMETER_PLACEHOLDER
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rasterized : bool, optional
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*Only applies to* `.contourf`.
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Rasterize the contour plot when drawing vector graphics. This can
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speed up rendering and produce smaller files for large data sets.
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See also :doc:`/gallery/misc/rasterization_demo`.
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Notes
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-----
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1. `.contourf` differs from the MATLAB version in that it does not draw
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‎lib/matplotlib/tests/test_contour.py

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assertlen(result)==2
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assertlen(result[0])==5
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assertlen(result[1])==4
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@image_comparison(baseline_images=['contour_rasterization'],
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extensions=['pdf'],style='mpl20',savefig_kwarg={'dpi':25})
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deftest_contourf_rasterize():
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fig,ax=plt.subplots()
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data= [[0,1], [1,0]]
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circle=mpatches.Circle([0.5,0.5],0.5,transform=ax.transAxes)
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cs=ax.contourf(data,clip_path=circle,rasterized=True)
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assertcs._rasterized

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