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adding sphinx gallery labels
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‎doc/_static/depsy_badge.svg‎

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‎doc/_static/mpl.css‎

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@@ -785,9 +785,9 @@ div.responsive_subfig img {
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div.responsive_subfig {
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width: 50%; /* we want 2 subfigs in a row */
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}
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}
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/* Sphinx gallery display */
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}
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div.align-center {
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margin: auto;
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div#gallery.section, div#tutorials.section {
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overflow: hidden;
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}
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.sphx-glr-thumbcontainer {
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border: solid #d6d6d6 1px !important;
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text-align: center !important;
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font-size: 1.2em !important;
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}
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div.sphx-glr-download {
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width: auto !important;
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}
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div.sphx-glr-download a {
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background-color: #d9edf7 !important;
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border: 1px solid #bce8f1 !important;
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background-image: none !important;
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}
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p.sphx-glr-signature a.reference.external {
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display: none !important;
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}
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.sphx-glr-thumbcontainer a.internal {
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font-weight: 400;
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}
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‎doc/api/animation_api.rst‎

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to ensures that setup and cleanup are performed as necessary.
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:ref:`animation-moviewriter`
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:ref:`sphx_glr_gallery_animation_moviewriter_sgskip.py`
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.. _ani_writer_classes:
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Custom Animation classes
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------------------------
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:ref:`animation-subplots`
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:ref:`sphx_glr_gallery_animation_subplots.py`
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Writer Registry
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---------------

‎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:`plotting-guide-legend` for further details. Further legend changes
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:ref:`sphx_glr_tutorials_02_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/devel/contributing.rst‎

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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:`customizing-matplotlib`) supports an
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:file:`matplotlibrc` (:ref:`sphx_glr_tutorials_01_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:`artist-tutorial`) has a method
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Every Matplotlib artist (see :ref:`sphx_glr_tutorials_02_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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ax = fig.add_subplot(111)
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You can control the defaults for these parameters in your
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:file:`matplotlibrc` file; see :ref:`customizing-matplotlib`. For
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:file:`matplotlibrc` file; see :ref:`sphx_glr_tutorials_01_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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ax = fig.add_axes([left, bottom, width, height])
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where all values are in fractional (0 to 1) coordinates. See
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:ref:`pylab_examples-axes_demo` for an example of placing axes manually.
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:ref:`sphx_glr_gallery_pylab_examples_axes_demo.py` for an example of placing axes manually.
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.. _howto-auto-adjust:
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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:`plotting-guide-tight-layout`.
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layout issues. See the :ref:`sphx_glr_tutorials_02_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.
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.. htmlonly::
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See :ref:`pylab_examples-zorder_demo` for a complete example.
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See :ref:`sphx_glr_gallery_pylab_examples_zorder_demo.py` for a complete example.
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You can also use the Axes property
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:meth:`~matplotlib.axes.Axes.set_axisbelow` to control whether the grid
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.. htmlonly::
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See :ref:`subplots_axes_and_figures-equal_aspect_ratio` for a complete
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See :ref:`sphx_glr_gallery_subplots_axes_and_figures_equal_aspect_ratio.py` for a complete
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example.
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.. htmlonly::
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See :ref:`api-two_scales` for a complete example
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See :ref:`sphx_glr_gallery_api_two_scales.py` for a 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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:ref:`api-agg_oo`.
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:ref:`sphx_glr_gallery_api_agg_oo_sgskip.py`.
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You can either generate hardcopy on the filesystem by calling savefig::
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‎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 <customizing-matplotlib>`
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sure you understand matplotlib's :ref:`configuration <sphx_glr_tutorials_01_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:`customizing-matplotlib`).
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:ref:`sphx_glr_tutorials_01_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/dflt_style_changes.rst‎

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the property cycling the notation for colors ``'CN'``, where ``N``
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takes values 0-9, was added to
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denote the first 10 colors in ``mpl.rcParams['axes.prop_cycle']`` See
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:ref:`colors` for more details.
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:ref:`sphx_glr_tutorials_colors_colors.py` for more details.
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To restore the old color cycle use
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See `here for many more details <https://bids.github.io/colormap/>`__
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about the other alternatives and the tools used to create the color
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map. For details on all of the color maps available in matplotlib see
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:ref:`colormaps`.
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:ref:`sphx_glr_tutorials_colors_colormaps.py`.
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.. raw:: html
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‎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:`pyplot-tutorial`). The *Matplotlib frontend* or *Matplotlib
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(:ref:`sphx_glr_tutorials_01_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:`artist-tutorial`). This is an abstract interface that knows
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(:ref:`sphx_glr_tutorials_02_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

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