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seaborn.html
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<section>
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&quot; 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class=&quot;n&quot;&gt;rand_vals&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;index&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;),&lt;/span&gt;\n &lt;span class=&quot;s2&quot;&gt;&amp;quot;freq&amp;quot;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;:&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;rand_vals&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt;\n &lt;span class=&quot;p&quot;&gt;}&lt;/span&gt;\n&lt;span class=&quot;p&quot;&gt;)&lt;/span&gt;\n&lt;span class=&quot;c1&quot;&gt;# Seaborn does not take cuDF directly, convert cudf dataframe to pandas df&lt;/span&gt;\n&lt;span class=&quot;n&quot;&gt;df&lt;/span&gt; &lt;span class=&quot;o&quot;&gt;=&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;df&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;to_pandas&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;()&lt;/span&gt;\n\n&lt;span class=&quot;c1&quot;&gt;# generate seaborn bar 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class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;barplot&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;(&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;df&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;x&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;s2&quot;&gt;&amp;quot;value&amp;quot;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;y&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;s2&quot;&gt;&amp;quot;freq&amp;quot;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;ax&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;ax&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;color&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span 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