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<section id="pyspark-pandas-dataframe-nlargest">
<h1>pyspark.pandas.DataFrame.nlargest<a class="headerlink" href="#pyspark-pandas-dataframe-nlargest" title="Permalink to this headline">#</a></h1>
<dl class="py method">
<dt class="sig sig-object py" id="pyspark.pandas.DataFrame.nlargest">
<span class="sig-prename descclassname"><span class="pre">DataFrame.</span></span><span class="sig-name descname"><span class="pre">nlargest</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'first'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/pyspark/pandas/frame.html#DataFrame.nlargest"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyspark.pandas.DataFrame.nlargest" title="Permalink to this definition">#</a></dt>
<dd><p>Return the first <cite>n</cite> rows ordered by <cite>columns</cite> in descending order.</p>
<p>Return the first <cite>n</cite> rows with the largest values in <cite>columns</cite>, in
descending order. The columns that are not specified are returned as
well, but not used for ordering.</p>
<p>This method is equivalent to
<code class="docutils literal notranslate"><span class="pre">df.sort_values(columns,</span> <span class="pre">ascending=False).head(n)</span></code>, but more
performant in pandas.
In pandas-on-Spark, thanks to Spark’s lazy execution and query optimizer,
the two would have same performance.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>n</strong><span class="classifier">int</span></dt><dd><p>Number of rows to return.</p>
</dd>
<dt><strong>columns</strong><span class="classifier">label or list of labels</span></dt><dd><p>Column label(s) to order by.</p>
</dd>
<dt><strong>keep</strong><span class="classifier">{‘first’, ‘last’}, default ‘first’. ‘all’ is not implemented yet.</span></dt><dd><p>Determines which duplicates (if any) to keep.
- <code class="docutils literal notranslate"><span class="pre">first</span></code> : Keep the first occurrence.
- <code class="docutils literal notranslate"><span class="pre">last</span></code> : Keep the last occurrence.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt>DataFrame</dt><dd><p>The first <cite>n</cite> rows ordered by the given columns in descending
order.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.nsmallest.html#pyspark.pandas.DataFrame.nsmallest" title="pyspark.pandas.DataFrame.nsmallest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.nsmallest</span></code></a></dt><dd><p>Return the first <cite>n</cite> rows ordered by <cite>columns</cite> in ascending order.</p>
</dd>
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.sort_values.html#pyspark.pandas.DataFrame.sort_values" title="pyspark.pandas.DataFrame.sort_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sort_values</span></code></a></dt><dd><p>Sort DataFrame by the values.</p>
</dd>
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.head.html#pyspark.pandas.DataFrame.head" title="pyspark.pandas.DataFrame.head"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.head</span></code></a></dt><dd><p>Return the first <cite>n</cite> rows without re-ordering.</p>
</dd>
</dl>
</div>
<p class="rubric">Notes</p>
<p>This function cannot be used with all column types. For example, when
specifying columns with <cite>object</cite> or <cite>category</cite> dtypes, <code class="docutils literal notranslate"><span class="pre">TypeError</span></code> is
raised.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;X&#39;</span><span class="p">:</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="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">],</span>
<span class="gp">... </span> <span class="s1">&#39;Y&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">12</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span>
<span class="go"> X Y</span>
<span class="go">0 1.0 6</span>
<span class="go">1 2.0 7</span>
<span class="go">2 3.0 8</span>
<span class="go">3 5.0 9</span>
<span class="go">4 6.0 10</span>
<span class="go">5 7.0 11</span>
<span class="go">6 NaN 12</span>
</pre></div>
</div>
<p>In the following example, we will use <code class="docutils literal notranslate"><span class="pre">nlargest</span></code> to select the three
rows having the largest values in column “X”.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;X&#39;</span><span class="p">)</span>
<span class="go"> X Y</span>
<span class="go">5 7.0 11</span>
<span class="go">4 6.0 10</span>
<span class="go">3 5.0 9</span>
</pre></div>
</div>
<p>To order by the largest values in column “Y” and then “X”, we can
specify multiple columns like in the next example.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Y&#39;</span><span class="p">,</span> <span class="s1">&#39;X&#39;</span><span class="p">])</span>
<span class="go"> X Y</span>
<span class="go">6 NaN 12</span>
<span class="go">5 7.0 11</span>
<span class="go">4 6.0 10</span>
</pre></div>
</div>
<p>The examples below show how ties are resolved, which is decided by <cite>keep</cite>.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">tied_df</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;X&#39;</span><span class="p">:</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="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">]},</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="s1">&#39;e&#39;</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">tied_df</span>
<span class="go"> X</span>
<span class="go">a 1</span>
<span class="go">b 2</span>
<span class="go">c 2</span>
<span class="go">d 3</span>
<span class="go">e 3</span>
</pre></div>
</div>
<p>When using keep=’first’ (default), ties are resolved in order:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">tied_df</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;X&#39;</span><span class="p">)</span>
<span class="go"> X</span>
<span class="go">d 3</span>
<span class="go">e 3</span>
<span class="go">b 2</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">tied_df</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;X&#39;</span><span class="p">,</span> <span class="n">keep</span><span class="o">=</span><span class="s1">&#39;first&#39;</span><span class="p">)</span>
<span class="go"> X</span>
<span class="go">d 3</span>
<span class="go">e 3</span>
<span class="go">b 2</span>
</pre></div>
</div>
<p>When using keep=’last’, ties are resolved in reverse order:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">tied_df</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;X&#39;</span><span class="p">,</span> <span class="n">keep</span><span class="o">=</span><span class="s1">&#39;last&#39;</span><span class="p">)</span>
<span class="go"> X</span>
<span class="go">e 3</span>
<span class="go">d 3</span>
<span class="go">c 2</span>
</pre></div>
</div>
</dd></dl>
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