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Merge pull request #8975 from choldgraf/examples_order
adding gallery sorting
2 parents b198b41 + 0cb00ea commit 6582a9d

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‎doc-requirements.txt

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numpydoc
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pillow
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scipy
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sphinx-gallery
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sphinx-gallery>=0.1.12

‎doc/_templates/index.html

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@@ -55,7 +55,7 @@ <h1>Introduction</h1>
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interface toolkits.</p>
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<div class="responsive_screenshots">
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<a a href="{{ pathto('tutorials/01_introductory/sample_plots') }}">
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<a a href="{{ pathto('tutorials/introductory/sample_plots') }}">
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<div class="responsive_subfig">
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<img align="middle", src="{{ pathto('_images/sphx_glr_membrane_thumb.png', 1) }}", border="0", alt="screenshots"/>
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</div>
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<p>Matplotlib tries to make easy things easy and hard things possible.
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You can generate plots, histograms, power spectra, bar charts,
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errorcharts, scatterplots, etc., with just a few lines of code.
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For examples, see the <a href="{{ pathto('tutorials/01_introductory/sample_plots')
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For examples, see the <a href="{{ pathto('tutorials/introductory/sample_plots')
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}}">sample plots</a> and <a href="{{ pathto('gallery/index') }}">thumbnail</a> gallery.</p>
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<p>For simple plotting the <tt>pyplot</tt> module provides a

‎doc/api/api_changes.rst

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* The legend handler interface has changed from a callable, to any object
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which implements the ``legend_artists`` method (a deprecation phase will
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see this interface be maintained for v1.4). See
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:ref:`sphx_glr_tutorials_02_intermediate_legend_guide.py` for further details. Further legend changes
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:ref:`sphx_glr_tutorials_intermediate_legend_guide.py` for further details. Further legend changes
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include:
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* :func:`matplotlib.axes.Axes._get_legend_handles` now returns a generator

‎doc/api/pyplot_summary.rst

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The :mod:`matplotlib.pyplot` module contains functions that allow you to generate
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many kinds of plots quickly. For examples that showcase the use
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of the :mod:`matplotlib.pyplot` module, see the
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:ref:`sphx_glr_tutorials_01_introductory_pyplot.py`
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:ref:`sphx_glr_tutorials_introductory_pyplot.py`
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or the :ref:`pyplots_examples`. We also recommend that you look into
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the object-oriented approach to plotting, described below.
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‎doc/conf.py

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import sys
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import sphinx
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import six
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from glob import glob
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from sphinx_gallery.sorting import ExplicitOrder
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# If your extensions are in another directory, add it here. If the directory
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# is relative to the documentation root, use os.path.abspath to make it
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'pandas': ('http://pandas.pydata.org/pandas-docs/stable', None)
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}
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explicit_order_folders = [
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'../examples/api',
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'../examples/pyplots',
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'../examples/subplots_axes_and_figures',
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'../examples/color',
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'../examples/statistics',
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'../examples/lines_bars_and_markers',
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'../examples/images_contours_and_fields',
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'../examples/shapes_and_collections',
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'../examples/text_labels_and_annotations',
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'../examples/pie_and_polar_charts',
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'../examples/style_sheets',
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'../examples/axes_grid',
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'../examples/showcase',
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'../tutorials/introductory',
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'../tutorials/intermediate',
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'../tutorials/advanced']
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for folder in sorted(glob('../examples/*') + glob('../tutorials/*')):
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if not os.path.isdir(folder) or folder in explicit_order_folders:
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continue
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explicit_order_folders.append(folder)
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# Sphinx gallery configuration
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sphinx_gallery_conf = {
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'numpy': 'https://docs.scipy.org/doc/numpy',
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'scipy': 'https://docs.scipy.org/doc/scipy/reference',
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},
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'backreferences_dir': 'api/_as_gen'
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'backreferences_dir': 'api/_as_gen',
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'subsection_order': ExplicitOrder(explicit_order_folders)
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}
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plot_gallery = True

‎doc/devel/contributing.rst

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If you find a bug in the code or documentation, do not hesitate to submit a
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ticket to the
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`Bug Tracker <https://github.com/matplotlib/matplotlib/issues>`_. You are also
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`Bug Tracker <https://github.com/matplotlib/matplotlib/issues>`_. You are also
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welcome to post feature requests or pull requests.
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If you are reporting a bug, please do your best to include the following:
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sentences.
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2. A short, self-contained code snippet to reproduce the bug, ideally allowing
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a simple copy and paste to reproduce. Please do your best to reduce the code
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a simple copy and paste to reproduce. Please do your best to reduce the code
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snippet to the minimum required.
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3. The actual outcome of the code snippet
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We have preloaded the issue creation page with a Markdown template that you can
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use to organize this information.
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Thank you for your help in keeping bug reports complete, targeted and descriptive.
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Retrieving and installing the latest version of the code
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git clone https://github.com:matplotlib/matplotlib.git
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and navigate to the :file:`matplotlib` directory. If you have the proper privileges,
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you can use ``git@`` instead of ``https://``, which works through the ssh protocol
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and navigate to the :file:`matplotlib` directory. If you have the proper privileges,
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you can use ``git@`` instead of ``https://``, which works through the ssh protocol
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and might be easier to use if you are using 2-factor authentication.
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------------------------
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If you are working on a custom backend, the *backend* setting in
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:file:`matplotlibrc` (:ref:`sphx_glr_tutorials_01_introductory_customizing.py`) supports an
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:file:`matplotlibrc` (:ref:`sphx_glr_tutorials_introductory_customizing.py`) supports an
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external backend via the ``module`` directive. If
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:file:`my_backend.py` is a Matplotlib backend in your
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:envvar:`PYTHONPATH`, you can set it on one of several ways

‎doc/faq/howto_faq.rst

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Find all objects in a figure of a certain type
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----------------------------------------------
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Every Matplotlib artist (see :ref:`sphx_glr_tutorials_02_intermediate_artists.py`) has a method
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Every Matplotlib artist (see :ref:`sphx_glr_tutorials_intermediate_artists.py`) has a method
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called :meth:`~matplotlib.artist.Artist.findobj` that can be used to
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recursively search the artist for any artists it may contain that meet
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some criteria (e.g., match all :class:`~matplotlib.lines.Line2D`
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You can control the defaults for these parameters in your
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:file:`matplotlibrc` file; see :ref:`sphx_glr_tutorials_01_introductory_customizing.py`. For
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:file:`matplotlibrc` file; see :ref:`sphx_glr_tutorials_introductory_customizing.py`. For
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example, to make the above setting permanent, you would set::
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figure.subplot.bottom : 0.2 # the bottom of the subplots of the figure
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.. note::
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This is now easier to handle than ever before.
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Calling :func:`~matplotlib.pyplot.tight_layout` can fix many common
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layout issues. See the :ref:`sphx_glr_tutorials_02_intermediate_tight_layout_guide.py`.
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layout issues. See the :ref:`sphx_glr_tutorials_intermediate_tight_layout_guide.py`.
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The information below is kept here in case it is useful for other
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purposes.

‎doc/faq/installing_faq.rst

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This will give you additional information about which backends matplotlib is
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loading, version information, and more. At this point you might want to make
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sure you understand matplotlib's :ref:`configuration <sphx_glr_tutorials_01_introductory_customizing.py>`
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sure you understand matplotlib's :ref:`configuration <sphx_glr_tutorials_introductory_customizing.py>`
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process, governed by the :file:`matplotlibrc` configuration file which contains
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instructions within and the concept of the matplotlib backend.
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‎doc/faq/troubleshooting_faq.rst

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* any customizations to your ``matplotlibrc`` file (see
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:ref:`sphx_glr_tutorials_01_introductory_customizing.py`).
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:ref:`sphx_glr_tutorials_introductory_customizing.py`).
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* if the problem is reproducible, please try to provide a *minimal*,
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standalone Python script that demonstrates the problem. This is

‎doc/users/intro.rst

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*pylab interface* is the set of functions provided by
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:mod:`matplotlib.pylab` which allow the user to create plots with code
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quite similar to MATLAB figure generating code
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(:ref:`sphx_glr_tutorials_01_introductory_pyplot.py`). The *Matplotlib frontend* or *Matplotlib
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(:ref:`sphx_glr_tutorials_introductory_pyplot.py`). The *Matplotlib frontend* or *Matplotlib
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API* is the set of classes that do the heavy lifting, creating and
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managing figures, text, lines, plots and so on
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(:ref:`sphx_glr_tutorials_02_intermediate_artists.py`). This is an abstract interface that knows
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(:ref:`sphx_glr_tutorials_intermediate_artists.py`). This is an abstract interface that knows
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nothing about output. The *backends* are device-dependent drawing
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devices, aka renderers, that transform the frontend representation to
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hardcopy or a display device (:ref:`what-is-a-backend`). Example

‎doc/users/prev_whats_new/whats_new_0.99.rst

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New documentation
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-----------------
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Jae-Joon Lee has written two new guides :ref:`sphx_glr_tutorials_02_intermediate_legend_guide.py`
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Jae-Joon Lee has written two new guides :ref:`sphx_glr_tutorials_intermediate_legend_guide.py`
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and :ref:`plotting-guide-annotation`. Michael Sarahan has written
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:ref:`sphx_glr_tutorials_01_introductory_images.py`. John Hunter has written two new tutorials on
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working with paths and transformations: :ref:`sphx_glr_tutorials_03_advanced_path_tutorial.py` and
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:ref:`sphx_glr_tutorials_03_advanced_transforms_tutorial.py`.
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:ref:`sphx_glr_tutorials_introductory_images.py`. John Hunter has written two new tutorials on
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working with paths and transformations: :ref:`sphx_glr_tutorials_advanced_path_tutorial.py` and
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:ref:`sphx_glr_tutorials_advanced_transforms_tutorial.py`.
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.. _whats-new-mplot3d:
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‎doc/users/prev_whats_new/whats_new_1.0.rst

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Jae-Joon Lee has written :mod:`~matplotlib.gridspec`, a new module for
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doing complex subplot layouts, featuring row and column spans and
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more. See :ref:`sphx_glr_tutorials_02_intermediate_gridspec.py` for a tutorial overview.
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more. See :ref:`sphx_glr_tutorials_intermediate_gridspec.py` for a tutorial overview.
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.. figure:: ../../gallery/userdemo/images/sphx_glr_demo_gridspec01_000.png
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:target: ../../gallery/userdemo/demo_gridspec01.html

‎doc/users/prev_whats_new/whats_new_1.1.rst

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and it will adjust the spacing between subplots
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:ref:`sphx_glr_tutorials_intermediate_tight_layout_guide.py` has been created to show how to use
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PyQT4, PySide, and IPython
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See the :ref:`sphx_glr_tutorials_intermediate_legend_guide.py` for more detailed explanation and
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.. figure:: ../../gallery/text_labels_and_annotations/images/sphx_glr_legend_demo_004.png
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* Many bug fixes and documentation improvements.
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‎doc/users/prev_whats_new/whats_new_1.4.rst

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Legend and PathEffects documentation
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GAE integration
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‎doc/users/shell.rst

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:file:`matplotlibrc` file (see :ref:`sphx_glr_tutorials_01_introductory_customizing.py`) and fire
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:file:`matplotlibrc` file (see :ref:`sphx_glr_tutorials_introductory_customizing.py`) and fire
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‎examples/recipes/placing_text_boxes.py

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==================
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the text in axes coordinates (see :ref:`sphx_glr_tutorials_advanced_transforms_tutorial.py`), so the
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‎lib/matplotlib/axes/_axes.py

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‎lib/matplotlib/figure.py

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:ref:`sphx_glr_tutorials_intermediate_legend_guide.py` for details.
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‎lib/matplotlib/legend.py

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<sphx_glr_tutorials_intermediate_legend_guide.py>`.
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The Legend class can be considered as a container of legend handles
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<sphx_glr_tutorials_02_intermediate_legend_guide.py>` for more information.
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<sphx_glr_tutorials_intermediate_legend_guide.py>` for more information.
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‎lib/matplotlib/legend_handler.py

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This module defines default legend handlers.
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<sphx_glr_tutorials_intermediate_legend_guide.py>` before this documentation.
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‎tutorials/02_intermediate/tight_layout_guide.py renamed to ‎tutorials/intermediate/tight_layout_guide.py

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# from the gridspec (:ref:`sphx_glr_tutorials_02_intermediate_gridspec.py`) will work.
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# from the gridspec (:ref:`sphx_glr_tutorials_intermediate_gridspec.py`) will work.
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plt.close('all')
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fig = plt.figure()

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‎tutorials/01_introductory/lifecycle.py renamed to ‎tutorials/introductory/lifecycle.py

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The second is based on MATLAB and uses
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<sphx_glr_tutorials_01_introductory_pyplot.py>`
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<sphx_glr_tutorials_introductory_pyplot.py>`
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plt.rcParams.update({'figure.autolayout': True})
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‎tutorials/01_introductory/pyplot.py renamed to ‎tutorials/introductory/pyplot.py

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@@ -307,7 +307,7 @@ def f(t):
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# it annoying that states (specifically the current image, figure and axes)
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# are being maintained for you behind the scenes, don't despair: this is just a thin
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# stateful wrapper around an object oriented API, which you can use
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# instead (see :ref:`sphx_glr_tutorials_02_intermediate_artists.py`)
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# instead (see :ref:`sphx_glr_tutorials_intermediate_artists.py`)
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#
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# If you are making lots of figures, you need to be aware of one
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# more thing: the memory required for a figure is not completely

‎tutorials/01_introductory/sample_plots.py renamed to ‎tutorials/introductory/sample_plots.py

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