Mention the slope graph and population chart in the documentation index

Author: NicholasMamo

docs/.doctrees/environment.pickle

@@ -56,9 +56,11 @@ This is achieved by providing:
 - Functionality to annotate any visualization with text; and
 - New types of visualizations not available in matplotlib:
 
-	-  100% bar chart,
-	-  Network graph, and
-	-  Text-only visualizations.
+  - 100% bar chart,
+  - Network graph,
+  - Slope graph,
+  - Population chart, and
+  - Text-only visualizations.
 
 Multiplex automatically lays out your data so that you can focus on telling your story.
 
@@ -91,7 +93,8 @@ Multiplex also uses the following libraries in certain visualizations:
 - `networkx <https://github.com/networkx/networkx>`_
 - `pandas <https://github.com/pandas-dev/pandas>`_
 
-### Quickstart
+Quickstart
+----------
 
 Creating visualizations with Multiplex is very easy.
 For example, you can create a text-only visualization in just 10 lines of code, including all styling options:

docs/.doctrees/index.doctree

@@ -199,21 +199,17 @@ <h2>Why should I use Multiplex?<a class="headerlink" href="#why-should-i-use-mul
 Anything that you can do with Multiplex, you can also do with matplotlib.</p>
 <p>Multiplex makes it easier to create beautiful visualizations.
 This is achieved by providing:</p>
-<ul>
-<li><p class="first"><a class="reference external" href="https://github.com/NicholasMamo/multiplex-plot/blob/master/examples/0.%20Styles.ipynb">4 custom matplotlib styles</a>;</p>
-</li>
-<li><p class="first">Functionality to caption visualizations;</p>
-</li>
-<li><p class="first">Functionality to annotate any visualization with text; and</p>
-</li>
-<li><p class="first">New types of visualizations not available in matplotlib:</p>
-<blockquote>
-<div><ul class="simple">
+<ul class="simple">
+<li><a class="reference external" href="https://github.com/NicholasMamo/multiplex-plot/blob/master/examples/0.%20Styles.ipynb">4 custom matplotlib styles</a>;</li>
+<li>Functionality to caption visualizations;</li>
+<li>Functionality to annotate any visualization with text; and</li>
+<li>New types of visualizations not available in matplotlib:<ul>
 <li>100% bar chart,</li>
-<li>Network graph, and</li>
+<li>Network graph,</li>
+<li>Slope graph,</li>
+<li>Population chart, and</li>
 <li>Text-only visualizations.</li>
 </ul>
-</div></blockquote>
 </li>
 </ul>
 <p>Multiplex automatically lays out your data so that you can focus on telling your story.</p>
@@ -238,7 +234,9 @@ <h3>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to
 <li><a class="reference external" href="https://github.com/networkx/networkx">networkx</a></li>
 <li><a class="reference external" href="https://github.com/pandas-dev/pandas">pandas</a></li>
 </ul>
-<p>### Quickstart</p>
+</div>
+<div class="section" id="quickstart">
+<h3>Quickstart<a class="headerlink" href="#quickstart" title="Permalink to this headline">¶</a></h3>
 <p>Creating visualizations with Multiplex is very easy.
 For example, you can create a text-only visualization in just 10 lines of code, including all styling options:</p>
 <div class="highlight-python notranslate"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 1

docs/_sources/index.rst.txt

@@ -1,2 +1,2 @@
 <?xml version='1.0' encoding='utf-8'?>
-<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"><url><loc>https://nicholasmamo.github.io/multiplex-plot/drawable.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/index.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/population.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/genindex.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/py-modindex.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/search.html</loc></url></urlset>
+<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"><url><loc>https://nicholasmamo.github.io/multiplex-plot/index.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/genindex.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/py-modindex.html</loc></url><url><loc>https://nicholasmamo.github.io/multiplex-plot/search.html</loc></url></urlset>

docs/index.html

@@ -56,9 +56,11 @@ This is achieved by providing:
 - Functionality to annotate any visualization with text; and
 - New types of visualizations not available in matplotlib:
 
-	-  100% bar chart,
-	-  Network graph, and
-	-  Text-only visualizations.
+  - 100% bar chart,
+  - Network graph,
+  - Slope graph,
+  - Population chart, and
+  - Text-only visualizations.
 
 Multiplex automatically lays out your data so that you can focus on telling your story.
 
@@ -91,7 +93,8 @@ Multiplex also uses the following libraries in certain visualizations:
 - `networkx <https://github.com/networkx/networkx>`_
 - `pandas <https://github.com/pandas-dev/pandas>`_
 
-### Quickstart
+Quickstart
+----------
 
 Creating visualizations with Multiplex is very easy.
 For example, you can create a text-only visualization in just 10 lines of code, including all styling options: