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Merge branch 'source-design-merge' of https://github.com/plotly/documentation into source-design-merge
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‎_posts/python/3d-clusters/2015-06-30-3d-clusters.html

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<div class=" highlight hl-ipython2"><pre><span class="kn">import</span> <span class="nn">plotly.plotly</span> <span class="kn">as</span> <span class="nn">py</span>
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<span class="n">scatter</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
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<span class="n">mode</span> <span class="o">=</span> <span class="s">&quot;markers&quot;</span><span class="p">,</span>
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<span class="nb">type</span> <span class="o">=</span> <span class="s">&quot;scatter3d&quot;</span><span class="p">,</span>
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<span class="nb">type</span> <span class="o">=</span> <span class="s">&quot;scatter3d&quot;</span><span class="p">,</span>
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<span class="n">x</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s">&#39;x&#39;</span><span class="p">],</span> <span class="n">y</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s">&#39;y&#39;</span><span class="p">],</span> <span class="n">z</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s">&#39;z&#39;</span><span class="p">],</span>
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<span class="n">marker</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span> <span class="n">size</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">&quot;rgb(23, 190, 207)&quot;</span> <span class="p">)</span>
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<span class="n">clusters</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
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<span class="n">x</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s">&#39;x&#39;</span><span class="p">],</span> <span class="n">y</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s">&#39;y&#39;</span><span class="p">],</span> <span class="n">z</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s">&#39;z&#39;</span><span class="p">]</span>
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<span class="n">fig</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">scatter</span><span class="p">,</span> <span class="n">clusters</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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<span class="c"># Use py.iplot() for IPython notebook</span>
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<span class="n">url</span> <span class="o">=</span> <span class="n">py</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s">&#39;3d point clustering&#39;</span><span class="p">)</span>
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<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s">&#39;3d point clustering&#39;</span><span class="p">)</span>
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<p>See <a href="https://plot.ly/python/reference/#surface">https://plot.ly/python/reference/#surface</a> for more information regarding subplots!</p>
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‎_posts/python/3d-clusters/3d-clusters.ipynb

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