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Updated ternary-contour-scatter plot
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‎_posts/python/ternary-scatter-contour/2015-06-30-ternary-scatter-contour.html

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permalink: python/ternary-scatter-contour
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permalink: python/ternary-scatter-contour/
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description: How to make A scatter plot overlaid on ternary contour in Python with Plotly.
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title: Python Ternary Scatter Overlaid on Contour | plotly
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has_thumbnail: true
@@ -56,7 +56,8 @@ <h3 id="Importing-required-Libraries:">Importing required Libraries:<a class="an
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<pre>contour_data.json scatter_data.json ternary-scatter.ipynb
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<pre>2015-06-30-ternary-scatter-contour.html scatter_data.json
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contour_data.json ternary-scatter-contour.ipynb
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</pre>
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<div class=" highlight hl-ipython2"><pre><span class="k">def</span> <span class="nf">clean_data</span><span class="p">(</span><span class="n">data_in</span><span class="p">):</span>
@@ -167,7 +168,7 @@ <h3 id="Plotting-Ternary-Scatter-Plot:">Plotting Ternary Scatter Plot:<a class="
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<div class=" highlight hl-ipython2"><pre><span class="c"># Defining Empty lists for holding clean data</span>
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<span class="n">marker</span><span class="o">=</span><span class="p">{</span>
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<span class="s">&#39;symbol&#39;</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
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<span class="s">&#39;color&#39;</span><span class="p">:</span> <span class="s">&#39;green&#39;</span><span class="p">,</span>
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<span class="s">&#39;size&#39;</span><span class="p">:</span> <span class="mi">14</span>
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<span class="s">&#39;size&#39;</span><span class="p">:</span> <span class="mi">10</span>
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<span class="p">},</span>
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<span class="p">)</span>
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</pre></div>
@@ -204,7 +205,7 @@ <h3 id="Plotting-Ternary-Scatter-Plot:">Plotting Ternary Scatter Plot:<a class="
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<div class=" highlight hl-ipython2"><pre><span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
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<div class=" highlight hl-ipython2"><pre><span class="n">figure</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">[</span><span class="n">trace1</span><span class="p">],</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
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<div class=" highlight hl-ipython2"><pre><span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">figure</span><span class="p">)</span>
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<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~tarzzz/2271.embed" height="525px" width="100%"></iframe>
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@@ -278,7 +279,7 @@ <h2 id="Ternary-Contour-Plot:">Ternary Contour Plot:<a class="anchor-link" href=
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<div class=" highlight hl-ipython2"><pre><span class="n">contour_dict</span> <span class="o">=</span> <span class="n">contour_raw_data</span><span class="p">[</span><span class="s">&#39;Data&#39;</span><span class="p">]</span>
@@ -291,7 +292,7 @@ <h2 id="Ternary-Contour-Plot:">Ternary Contour Plot:<a class="anchor-link" href=
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<div class=" highlight hl-ipython2"><pre><span class="c"># Defining a colormap:</span>
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<div class=" highlight hl-ipython2"><pre><span class="n">traces</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="k">for</span> <span class="n">raw_data</span> <span class="ow">in</span> <span class="n">contour_dict</span><span class="p">:</span>
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<span class="n">data</span> <span class="o">=</span> <span class="n">clean_data</span><span class="p">(</span><span class="n">raw_data</span><span class="p">)</span>
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<span class="n">a</span> <span class="o">=</span> <span class="p">[</span><span class="n">inner_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">inner_data</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:]]</span>
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<span class="n">a</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">])</span> <span class="c"># Closing the loop </span>
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<span class="n">b</span> <span class="o">=</span> <span class="p">[</span><span class="n">inner_data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">inner_data</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:]]</span>
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<span class="n">b</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">1</span><span class="p">])</span> <span class="c"># Closing the loop </span>
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<span class="n">c</span> <span class="o">=</span> <span class="p">[</span><span class="n">inner_data</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="k">for</span> <span class="n">inner_data</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:]]</span>
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<span class="n">c</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">2</span><span class="p">])</span> <span class="c"># Closing the loop </span>
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<span class="n">trace</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
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<span class="nb">type</span><span class="o">=</span><span class="s">&#39;scatterternary&#39;</span><span class="p">,</span><span class="n">text</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
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<span class="n">a</span><span class="o">=</span><span class="p">[</span><span class="n">inner_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">inner_data</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:]],</span>
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<span class="n">b</span><span class="o">=</span><span class="p">[</span><span class="n">inner_data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">inner_data</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:]],</span>
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<span class="n">c</span><span class="o">=</span><span class="p">[</span><span class="n">inner_data</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="k">for</span> <span class="n">inner_data</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:]],</span>
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<span class="n">mode</span><span class="o">=</span><span class="s">&#39;lines&#39;</span><span class="p">,</span>
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<span class="n">line</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s">&#39;#444&#39;</span><span class="p">),</span>
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<span class="n">a</span><span class="o">=</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">c</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s">&#39;lines&#39;</span><span class="p">,</span>
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<span class="n">line</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s">&#39;#444&#39;</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="s">&#39;spline&#39;</span><span class="p">),</span>
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