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Add the temperatures example to the documentation
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docs/.doctrees/drawable.doctree

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docs/_images/3-temperatures.png

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docs/_images/3-time-series.png

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docs/_sources/drawable.rst.txt

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:description: Multiplex: visualizations that tell stories
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:keywords: Multiplex, Python, visualizations, data science
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.. image:: ../examples/exports/1-time-series.png
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:class: example
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All of Multiplex's visualizations revolve around the :class:`~drawable.Drawable` class.
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A :class:`~drawable.Drawable` is nothing more than a class that wraps a matplotlib figure and an axis.
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All of the functions that you would call on a matplotlib axis, you can call on the :class:`~drawable.Drawable`.
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The :class:`~drawable.Drawable` instance re-routes unknown functions to the matplotlib axis.
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However, the :class:`~drawable.Drawable` also comes with new visualizations to help you explore or explain data faster.
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.. image:: ../examples/exports/3-temperatures.png
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To start working with a :class:`~drawable.Drawable`, create it from a normal plot:
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.. code-block:: python

docs/drawable.html

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<div class="section" id="getting-started">
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<h1>1. Getting started<a class="headerlink" href="#getting-started" title="Permalink to this headline"></a></h1>
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<img alt="_images/1-time-series.png" class="example" src="_images/1-time-series.png" />
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<p>All of Multiplex’s visualizations revolve around the <a class="reference internal" href="#drawable.Drawable" title="drawable.Drawable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Drawable</span></code></a> class.
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A <a class="reference internal" href="#drawable.Drawable" title="drawable.Drawable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Drawable</span></code></a> is nothing more than a class that wraps a matplotlib figure and an axis.
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All of the functions that you would call on a matplotlib axis, you can call on the <a class="reference internal" href="#drawable.Drawable" title="drawable.Drawable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Drawable</span></code></a>.
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The <a class="reference internal" href="#drawable.Drawable" title="drawable.Drawable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Drawable</span></code></a> instance re-routes unknown functions to the matplotlib axis.
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However, the <a class="reference internal" href="#drawable.Drawable" title="drawable.Drawable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Drawable</span></code></a> also comes with new visualizations to help you explore or explain data faster.</p>
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<img alt="_images/3-temperatures.png" src="_images/3-temperatures.png" />
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<p>To start working with a <a class="reference internal" href="#drawable.Drawable" title="drawable.Drawable"><code class="xref py py-class docutils literal notranslate"><span class="pre">Drawable</span></code></a>, create it from a normal plot:</p>
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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
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<span class="kn">from</span> <span class="nn">multiplex</span> <span class="kn">import</span> <span class="n">drawable</span>

docsource/drawable.rst

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:description: Multiplex: visualizations that tell stories
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:keywords: Multiplex, Python, visualizations, data science
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.. image:: ../examples/exports/1-time-series.png
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:class: example
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All of Multiplex's visualizations revolve around the :class:`~drawable.Drawable` class.
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A :class:`~drawable.Drawable` is nothing more than a class that wraps a matplotlib figure and an axis.
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All of the functions that you would call on a matplotlib axis, you can call on the :class:`~drawable.Drawable`.
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The :class:`~drawable.Drawable` instance re-routes unknown functions to the matplotlib axis.
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However, the :class:`~drawable.Drawable` also comes with new visualizations to help you explore or explain data faster.
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.. image:: ../examples/exports/3-temperatures.png
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To start working with a :class:`~drawable.Drawable`, create it from a normal plot:
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.. code-block:: python

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