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| <div class="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 id="pyspark.pandas.DataFrame.nlargest"> |
| <code class="sig-prename descclassname">DataFrame.</code><code class="sig-name descname">nlargest</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">n</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">columns</span><span class="p">:</span> <span class="n">Union[Any, Tuple[Any, …], List[Union[Any, Tuple[Any, …]]]]</span></em>, <em class="sig-param"><span class="n">keep</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'first'</span></em><span class="sig-paren">)</span> → pyspark.pandas.frame.DataFrame<a class="reference internal" href="../../../_modules/pyspark/pandas/frame.html#DataFrame.nlargest"><span class="viewcode-link">[source]</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">>>> </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">'X'</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">'Y'</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">>>> </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">>>> </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">'X'</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">>>> </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">'Y'</span><span class="p">,</span> <span class="s1">'X'</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">>>> </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">'X'</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">'a'</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">,</span> <span class="s1">'e'</span><span class="p">])</span> |
| <span class="gp">>>> </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">>>> </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">'X'</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">>>> </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">'X'</span><span class="p">,</span> <span class="n">keep</span><span class="o">=</span><span class="s1">'first'</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">>>> </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">'X'</span><span class="p">,</span> <span class="n">keep</span><span class="o">=</span><span class="s1">'last'</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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