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HTML to ipynb for histograms and heatmaps #1049

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HTML to ipynb for histograms and heatmaps
priyatharsan Aug 23, 2018
b3ff2fc
updated import order, capitatalized titles and remoced commented texts
priyatharsan Aug 28, 2018
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201 changes: 201 additions & 0 deletions _posts/matplotlib/heatmap/2015-06-30-heatmap_matplotlib.html
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---
permalink: matplotlib/heatmaps/
description: How to make a heatmap in matplotlib with a matrix. Examples of colored and labeled heatmaps with custom colorscales.
name: Heatmaps
has_thumbnail: true
thumbnail: thumbnail/heatmap.jpg
layout: user-guide
language: matplotlib
title: Matplotlib Heatmaps | Plotly
display_as: scientific
has_thumbnail: true
page_type: example_index
order: 2
ipynb: ~notebook_demo/250
---
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<h4 id="New-to-Plotly?">New to Plotly?<a class="anchor-link" href="#New-to-Plotly?">&#182;</a></h4><p>Plotly's Python library is free and open source! <a href="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <a href="https://plot.ly/python/getting-started/">reading the primer</a>.
<br>You can set up Plotly to work in <a href="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <a href="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <a href="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.
<br>We also have a quick-reference <a href="https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf">cheatsheet</a> (new!) to help you get started!</p>

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<h4 id="Version-Check">Version Check<a class="anchor-link" href="#Version-Check">&#182;</a></h4><p>Plotly's python package is updated frequently. Run <code>pip install plotly --upgrade</code> to use the latest version.</p>

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<div class=" highlight hl-ipython2"><pre><span></span><span class="kn">import</span> <span class="nn">plotly</span>
<span class="n">plotly</span><span class="o">.</span><span class="n">__version__</span>
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<pre>&#39;3.1.1&#39;</pre>
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<h4 id="Basic-Heatmap">Basic Heatmap<a class="anchor-link" href="#Basic-Heatmap">&#182;</a></h4>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="kn">import</span> <span class="nn">plotly.plotly</span> <span class="kn">as</span> <span class="nn">py</span>
<span class="kn">import</span> <span class="nn">plotly.tools</span> <span class="kn">as</span> <span class="nn">tls</span>

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Simple Heatmap with matplotlib and plotly&#39;</span><span class="p">)</span>

<span class="n">plotly_fig</span> <span class="o">=</span> <span class="n">tls</span><span class="o">.</span><span class="n">mpl_to_plotly</span><span class="p">(</span> <span class="n">fig</span> <span class="p">)</span>

<span class="n">trace</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">z</span><span class="o">=</span><span class="p">[[</span><span class="mi">1</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">],[</span><span class="mi">20</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">60</span><span class="p">],[</span><span class="mi">30</span><span class="p">,</span><span class="mi">60</span><span class="p">,</span><span class="mi">1</span><span class="p">]],</span> <span class="nb">type</span><span class="o">=</span><span class="s2">&quot;heatmap&quot;</span><span class="p">,</span> <span class="n">zmin</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">zmax</span><span class="o">=</span><span class="mi">60</span><span class="p">)</span>

<span class="n">plotly_fig</span><span class="o">.</span><span class="n">add_traces</span><span class="p">([</span><span class="n">trace</span><span class="p">])</span>

<span class="n">plotly_fig</span><span class="p">[</span><span class="s1">&#39;layout&#39;</span><span class="p">][</span><span class="s1">&#39;xaxis&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;autorange&#39;</span><span class="p">:</span><span class="bp">True</span><span class="p">})</span>
<span class="n">plotly_fig</span><span class="p">[</span><span class="s1">&#39;layout&#39;</span><span class="p">][</span><span class="s1">&#39;yaxis&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;autorange&#39;</span><span class="p">:</span><span class="bp">True</span><span class="p">})</span>

<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">plotly_fig</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;mpl-basic-heatmap&#39;</span><span class="p">)</span>
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<h4 id="Heatmap-With-Custom-Colorscale">Heatmap With Custom Colorscale<a class="anchor-link" href="#Heatmap-With-Custom-Colorscale">&#182;</a></h4>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="kn">import</span> <span class="nn">plotly.plotly</span> <span class="kn">as</span> <span class="nn">py</span>
<span class="kn">import</span> <span class="nn">plotly.tools</span> <span class="kn">as</span> <span class="nn">tls</span>

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">)</span>

<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Heatmap with Custom Colorscale (Viridis) &#39;</span><span class="p">)</span>

<span class="n">plotly_fig</span> <span class="o">=</span> <span class="n">tls</span><span class="o">.</span><span class="n">mpl_to_plotly</span><span class="p">(</span> <span class="n">fig</span> <span class="p">)</span>

<span class="n">trace</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">z</span><span class="o">=</span><span class="p">[[</span><span class="mi">1</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">],[</span><span class="mi">20</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">60</span><span class="p">],[</span><span class="mi">30</span><span class="p">,</span><span class="mi">60</span><span class="p">,</span><span class="mi">1</span><span class="p">]],</span> <span class="nb">type</span><span class="o">=</span><span class="s2">&quot;heatmap&quot;</span><span class="p">,</span> <span class="n">zmin</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">zmax</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Viridis&#39;</span><span class="p">)</span>
<span class="n">plotly_fig</span><span class="o">.</span><span class="n">add_traces</span><span class="p">([</span><span class="n">trace</span><span class="p">])</span>

<span class="n">plotly_fig</span><span class="p">[</span><span class="s1">&#39;layout&#39;</span><span class="p">][</span><span class="s1">&#39;xaxis&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;autorange&#39;</span><span class="p">:</span><span class="bp">True</span><span class="p">})</span>
<span class="n">plotly_fig</span><span class="p">[</span><span class="s1">&#39;layout&#39;</span><span class="p">][</span><span class="s1">&#39;yaxis&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;autorange&#39;</span><span class="p">:</span><span class="bp">True</span><span class="p">})</span>

<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">plotly_fig</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;mpl-heatmap-custom-colorscale&#39;</span><span class="p">)</span>
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<h4 id="Reference">Reference<a class="anchor-link" href="#Reference">&#182;</a></h4><p>See <a href="https://plot.ly/python/reference/#heatmap">https://plot.ly/python/reference/#heatmap</a> for more information and chart attribute options!</p>

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