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Merge remote-tracking branch 'origin/v3.0.0-doc' into v3.0.x
2 parents 13c962a + 9db5400 commit 3de5f14

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‎INSTALL.rst‎

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Matplotlib and its dependencies are available as wheel packages for macOS,
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Windows and Linux distributions::
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python -mpip install -U pip
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python -mpip install -U matplotlib
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python -m pip install -U pip
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python -m pip install -U matplotlib
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.. note::
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‎doc/_templates/layout.html‎

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{%- endif %}
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{%- if show_sphinx %}
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{% trans sphinx_version=sphinx_version|e %}Created using
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<ahref="http://sphinx-doc.org/">Sphinx</a> {{ sphinx_version }}.{% endtrans %}
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<a href="http://sphinx-doc.org/">Sphinx</a> {{ sphinx_version }}.{% endtrans %}
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{%- endif %}
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{%- if sha %}
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Doc version {{ sha }}.
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</script>
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</body>
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<footer>
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<!--Flipcause Integration v3.0// Flipcause Integration Instructions:
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Install the following code block once in the website Header (after <head> tag) -->
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<style>
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.fc-black_overlay{
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display:none; position: fixed; z-index:1000001; top: 0%;left: 0%;width: 100%;height: 100%;
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background-color: black; filter: alpha(opacity=50); cursor:pointer; opacity:0.5;
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}
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.fc-white_content {
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opacity:1; display:none; margin-top: -320px; margin-left: -485px; width:970px; height:640px;
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position:fixed; top:50%; left:50%; border: none;z-index:1000002;overflow: auto;
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}
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.fc-main-box{
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opacity:1; display:none; margin:15px auto 0 auto; width:930px; position:relative; z-index:1000003;
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}
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.fc-widget_close{
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opacity:1; content:url(http://i1338.photobucket.com/albums/o691/WeCause/X_zpse4a7e538.png);
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position:absolute; z-index=1000004; right:-16px; top:-16px; display:block; cursor:pointer;
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}
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.floating_button{
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display: block; margin-top: 0px; margin-left: 0px; width:auto ; height: auto;
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position:fixed; z-index:999999; overflow: auto;
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}
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@keyframes backfadesin {
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from { opacity:0; }
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to {opacity:.5;}
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}
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@-moz-keyframes backfadesin {
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from { opacity:0; }
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to {opacity:.5;}
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}
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@-webkit-keyframes backfadesin {
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from { opacity:0; }
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to {opacity:.5;}
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}
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@-o-keyframes backfadesin {
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from { opacity:0; }
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to {opacity:.5;}
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}
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@-ms-keyframes backfadesin {
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from { opacity:0; }
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to {opacity:.5;}
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}
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@keyframes fadesin {
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0%{ opacity:0; }
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50%{ opacity:0; }
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75% {opacity: 0; transform: translateY(20px);}
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100% {opacity: 1; transform: translateY(0);}
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}
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@-moz-keyframes fadesin {
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0%{ opacity:0; }
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50%{ opacity:0; }
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75% {opacity: 0; -moz-transform: translateY(20px);}
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100% {opacity: 1; -moz-transform: translateY(0);}
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}
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@-webkit-keyframes fadesin {
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0%{ opacity:0; }
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50%{ opacity:0; }
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75% {opacity: 0; -webkit-transform: translateY(20px);}
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100% {opacity: 1; -webkit-transform: translateY(0);}
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}
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@-o-keyframes fadesin {
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0%{ opacity:0; }
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50%{ opacity:0; }
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75% {opacity: 0; -o-transform: translateY(20px);}
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100% {opacity: 1; -o-transform: translateY(0);}
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}
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@-ms-keyframes fadesin {
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0%{ opacity:0; }
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50%{ opacity:0; }
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75% {opacity: 0; -ms-transform: translateY(20px);}
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100% {opacity: 1; -ms-transform: translateY(0);}
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}
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</style>
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<div id="fc-fade" class="fc-black_overlay" onclick="close_window()"></div>
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<div id="fc-light" class="fc-white_content">
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<div id="fc-main" class="fc-main-box">
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<div id="fc-close" class="fc-widget_close" onclick="close_window()">
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</div><iframe id="fc-myFrame" iframe height="580" width="925" style="border: 0;
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border-radius:5px 5px 5px 5px; box-shadow:0 0 8px rgba(0, 0, 0, 0.5);" scrolling="no" src=""></iframe></div>
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</div>
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<!--END Flipcause Main Integration Code-->
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</footer>
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</html>

‎doc/_templates/sidebar_announcement.html‎

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<div class="sidebar-announcement">
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<p>The upcoming version Matplotlib 3.0 will be Python 3 only.</p>
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<p>Matplotlib 3.0 is Python 3 only.</p>
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<p>For Python 2 support, Matplotlib 2.2.x will be continued as a LTS release
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and updated with bugfixes until January 1, 2020.</p>
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</div>

‎doc/conf.py‎

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# numpydoc config
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numpydoc_show_class_members = False
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latex_engine = 'xelatex' # or 'lualatex'
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latex_elements = {
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'babel': r'\usepackage{babel}',
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'fontpkg': r'\setmainfont{DejaVu Serif}',
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}

‎doc/devel/documenting_mpl.rst‎

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Use ``float`` for a type that can be any number.
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Use ``(float, float)`` to describe a 2D position.
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Use ``array-like`` for homogeneous numeric sequences, which could
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typically be a numpy.array. Dimensionality may be specified using ``2D``,
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``3D``, ``n-dimensional``. If you need to have variables denoting the

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