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Commit0887e2a

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Merge pull request#11726 from anntzer/canvasagg-examples
Consolidate agg-buffer examples.
2 parentscb47f2d +870f851 commit0887e2a

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‎.flake8‎

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examples/lines_bars_and_markers/joinstyle.py: E402
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examples/lines_bars_and_markers/scatter_piecharts.py: E402
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examples/lines_bars_and_markers/span_regions.py: E402
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examples/misc/agg_oo_sgskip.py: E402
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examples/misc/agg_buffer.py: E402
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examples/misc/anchored_artists.py: E501
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examples/misc/contour_manual.py: E501
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examples/misc/font_indexing.py: E501
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examples/text_labels_and_annotations/tex_demo.py: E402
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examples/text_labels_and_annotations/watermark_text.py: E402
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examples/ticks_and_spines/auto_ticks.py: E501
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examples/user_interfaces/canvasagg.py: E402
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examples/user_interfaces/embedding_in_gtk3_panzoom_sgskip.py: E402
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examples/user_interfaces/embedding_in_gtk3_sgskip.py: E402
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examples/user_interfaces/embedding_in_qt_sgskip.py: E402

‎doc/faq/howto_faq.rst‎

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Alternatively, you can avoid pylab/pyplot altogether, which will give
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you a little more control, by calling the API directly as shown in
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:doc:`/gallery/misc/agg_oo_sgskip`.
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:doc:`/gallery/user_interfaces/canvasagg`.
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You can either generate hardcopy on the filesystem by calling savefig::
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‎examples/misc/agg_buffer.py‎

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importnumpyasnp
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importmatplotlib.pyplotasplt
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frommatplotlib.backends.backend_aggimportFigureCanvasAgg
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try:
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fromPILimportImage
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exceptImportError:
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raiseSystemExit("Pillow must be installed to run this example")
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importmatplotlib.pyplotasplt
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plt.plot([1,2,3])
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canvas=plt.get_current_fig_manager().canvas
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agg=canvas.switch_backends(FigureCanvasAgg)
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agg.draw()
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s=agg.tostring_rgb()
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# get the width and the height to resize the matrix
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l,b,w,h=agg.figure.bbox.bounds
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w,h=int(w),int(h)
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s, (width,height)=agg.print_to_buffer()
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X=np.fromstring(s,np.uint8).reshape((h,w,3))
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# Convert to a NumPy array.
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X=np.fromstring(s,np.uint8).reshape((height,width,4))
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try:
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im=Image.fromstring("RGB", (w,h),s)
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exceptException:
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im=Image.frombytes("RGB", (w,h),s)
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# Pass off to PIL.
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fromPILimportImage
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im=Image.frombytes("RGBA", (width,height),s)
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# Uncomment this line to display the image using ImageMagick's
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# `display` tool.
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# Uncomment this line to display the image using ImageMagick's `display` tool.
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# im.show()

‎examples/misc/agg_oo_sgskip.py‎

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‎examples/misc/webapp_demo_sgskip.py‎

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"""
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==============
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CanvasAgg demo
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==============
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This example shows how to use the agg backend directly to create images, which
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may be of use to web application developers who want full control over their
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code without using the pyplot interface to manage figures, figure closing etc.
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.. note::
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It is not necessary to avoid using the pyplot interface in order to
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create figures without a graphical front-end - simply setting
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the backend to "Agg" would be sufficient.
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In this example, we show how to save the contents of the agg canvas to a file,
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and how to extract them to a string, which can in turn be passed off to PIL or
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put in a numpy array. The latter functionality allows e.g. to use Matplotlib
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inside a cgi-script *without* needing to write a figure to disk.
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"""
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frommatplotlib.backends.backend_aggimportFigureCanvasAgg
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frommatplotlib.figureimportFigure
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importnumpyasnp
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fig=Figure(figsize=(5,4),dpi=100)
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# A canvas must be manually attached to the figure (pyplot would automatically
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# do it). This is done by instantiating the canvas with the figure as
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# argument.
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canvas=FigureCanvasAgg(fig)
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# Do some plotting.
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ax=fig.add_subplot(111)
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ax.plot([1,2,3])
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# Option 1: Save the figure to a file; can also be a file-like object (BytesIO,
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# etc.).
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fig.savefig("test.png")
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# Option 2: Save the figure to a string.
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canvas.draw()
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s, (width,height)=canvas.print_to_buffer()
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# Option 2a: Convert to a NumPy array.
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X=np.fromstring(s,np.uint8).reshape((height,width,4))
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# Option 2b: Pass off to PIL.
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fromPILimportImage
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im=Image.frombytes("RGBA", (width,height),s)
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# Uncomment this line to display the image using ImageMagick's `display` tool.
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# im.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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#
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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importmatplotlib
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matplotlib.backends.backend_agg.FigureCanvasAgg
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matplotlib.figure.Figure
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matplotlib.figure.Figure.add_subplot
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matplotlib.figure.Figure.savefig
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matplotlib.axes.Axes.plot

‎examples/user_interfaces/histogram_demo_canvasagg_sgskip.py‎

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