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Merge pull request #11136 from dstansby/examplemove
DOC: Move remaining examples from api/
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‎doc/api/pyplot_summary.rst

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@@ -28,8 +28,6 @@ While it is easy to quickly generate plots with the
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we recommend using the object-oriented approach for more control
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and customization of your plots. See the methods in the
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:meth:`matplotlib.axes.Axes` class for many of the same plotting functions.
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For examples of the OO approach to Matplotlib, see the
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:ref:`API Examples<api_examples>`.
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Colors in Matplotlib
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--------------------

‎doc/faq/howto_faq.rst

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pp.close()
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The same can be done using the pgf backend::
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from matplotlib.backends.backend_pgf import PdfPages
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.. only:: html
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See :doc:`/gallery/api/two_scales` for a complete example
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See :doc:`/gallery/subplots_axes_and_figures/two_scales` for a
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complete example.
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.. _howto-batch:
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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/api/agg_oo_sgskip`.
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:doc:`/gallery/misc/agg_oo_sgskip`.
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You can either generate hardcopy on the filesystem by calling savefig::
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‎doc/users/prev_whats_new/whats_new_1.1.rst

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Kevin Davies has extended Yannick Copin's original Sankey example into a module
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(:mod:`~matplotlib.sankey`) and provided new examples
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(:doc:`/gallery/api/sankey_basics`, :doc:`/gallery/api/sankey_links`,
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:doc:`/gallery/api/sankey_rankine`).
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(:doc:`/gallery/specialty_plots/sankey_basics`,
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:doc:`/gallery/specialty_plots/sankey_links`,
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:doc:`/gallery/specialty_plots/sankey_rankine`).
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.. figure:: ../../gallery/api/images/sphx_glr_sankey_rankine_001.png
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:target: ../../gallery/api/sankey_rankine.html
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.. figure:: ../../gallery/specialty_plots/images/sphx_glr_sankey_rankine_001.png
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:target: ../../gallery/specialty_plots/sankey_rankine.html
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:align: center
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:scale: 50
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‎doc/users/prev_whats_new/whats_new_1.4.rst

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:class:`~matplotlib.Axes`. This transform is important for some plot types,
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specifically the Skew-T used in meteorology.
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.. figure:: ../../gallery/api/images/sphx_glr_skewt_001.png
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:target: ../../gallery/api/skewt.html
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.. figure:: ../../gallery/specialty_plots/images/sphx_glr_skewt_001.png
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:target: ../../gallery/specialty_plots/skewt.html
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:align: center
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:scale: 50
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‎doc/users/prev_whats_new/whats_new_1.5.rst

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This is particularly useful for plotting pre-binned histograms.
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.. figure:: ../../gallery/api/images/sphx_glr_filled_step_001.png
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:target: ../../gallery/api/filled_step.html
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.. figure:: ../../gallery/lines_bars_and_markers/images/sphx_glr_filled_step_001.png
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:target: ../../gallery/lines_bars_and_markers/filled_step.html
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:align: center
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:scale: 50
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‎examples/README

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* animation - Dynamic plots, see the documentation at
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http://matplotlib.org/api/animation_api.html
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* api - working with the Matplotlib API directly.
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* axes_grid1 - Examples related to the axes_grid1 toolkit.
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* axisartist - Examples related to the axisartist toolkit.

‎examples/api/README.txt

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‎examples/api/image_zcoord.py renamed to ‎examples/images_contours_and_fields/image_zcoord.py

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‎examples/api/watermark_image.py renamed to ‎examples/images_contours_and_fields/watermark_image.py

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Watermark image
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===============
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Use a PNG file as a watermark
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Using a PNG file as a watermark.
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"""
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import numpy as np
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import matplotlib.cbook as cbook

‎examples/api/filled_step.py renamed to ‎examples/lines_bars_and_markers/filled_step.py

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