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Posted to commits@zeppelin.apache.org by mo...@apache.org on 2017/07/14 00:40:39 UTC
svn commit: r1801899 -
/zeppelin/site/docs/0.8.0-SNAPSHOT/interpreter/spark.html
Author: moon
Date: Fri Jul 14 00:40:39 2017
New Revision: 1801899
URL: http://svn.apache.org/viewvc?rev=1801899&view=rev
Log:
https://github.com/apache/zeppelin/pull/2488
Modified:
zeppelin/site/docs/0.8.0-SNAPSHOT/interpreter/spark.html
Modified: zeppelin/site/docs/0.8.0-SNAPSHOT/interpreter/spark.html
URL: http://svn.apache.org/viewvc/zeppelin/site/docs/0.8.0-SNAPSHOT/interpreter/spark.html?rev=1801899&r1=1801898&r2=1801899&view=diff
==============================================================================
--- zeppelin/site/docs/0.8.0-SNAPSHOT/interpreter/spark.html (original)
+++ zeppelin/site/docs/0.8.0-SNAPSHOT/interpreter/spark.html Fri Jul 14 00:40:39 2017
@@ -536,6 +536,12 @@ Note that <code>%spark.dep</code> interp
<p>Zeppelin automatically injects <code>ZeppelinContext</code> as variable <code>z</code> in your Scala/Python environment. <code>ZeppelinContext</code> provides some additional functions and utilities.</p>
+<h3>Exploring Spark DataFrames</h3>
+
+<p><code>ZeppelinContext</code> provides a <code>show</code> method, which, using Zeppelin's <code>table</code> feature, can be used to nicely display a Spark DataFrame:</p>
+<div class="highlight"><pre><code class="text language-text" data-lang="text">df = spark.read.csv('/path/to/csv')
+z.show(df)
+</code></pre></div>
<h3>Object Exchange</h3>
<p><code>ZeppelinContext</code> extends map and it's shared between Scala and Python environment.