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<div class="section" id="pyspark-pandas-series-unstack">
<h1>pyspark.pandas.Series.unstack<a class="headerlink" href="#pyspark-pandas-series-unstack" title="Permalink to this headline"></a></h1>
<dl class="py method">
<dt id="pyspark.pandas.Series.unstack">
<code class="sig-prename descclassname">Series.</code><code class="sig-name descname">unstack</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">level</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">- 1</span></em><span class="sig-paren">)</span> &#x2192; pyspark.pandas.frame.DataFrame<a class="reference internal" href="../../../_modules/pyspark/pandas/series.html#Series.unstack"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.Series.unstack" title="Permalink to this definition"></a></dt>
<dd><p>Unstack, a.k.a. pivot, Series with MultiIndex to produce DataFrame.
The level involved will automatically get sorted.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>level</strong><span class="classifier">int, str, or list of these, default last level</span></dt><dd><p>Level(s) to unstack, can pass level name.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt>DataFrame</dt><dd><p>Unstacked Series.</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Notes</p>
<p>Unlike pandas, pandas-on-Spark doesn’t check whether an index is duplicated or not
because the checking of duplicated index requires scanning whole data which
can be quite expensive.</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">s</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">Series</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">4</span><span class="p">],</span>
<span class="gp">... </span> <span class="n">index</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">MultiIndex</span><span class="o">.</span><span class="n">from_product</span><span class="p">([[</span><span class="s1">&#39;one&#39;</span><span class="p">,</span> <span class="s1">&#39;two&#39;</span><span class="p">],</span>
<span class="gp">... </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="gp">&gt;&gt;&gt; </span><span class="n">s</span>
<span class="go">one a 1</span>
<span class="go"> b 2</span>
<span class="go">two a 3</span>
<span class="go"> b 4</span>
<span class="go">dtype: int64</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">s</span><span class="o">.</span><span class="n">unstack</span><span class="p">(</span><span class="n">level</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
<span class="go"> a b</span>
<span class="go">one 1 2</span>
<span class="go">two 3 4</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">s</span><span class="o">.</span><span class="n">unstack</span><span class="p">(</span><span class="n">level</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
<span class="go"> one two</span>
<span class="go">a 1 3</span>
<span class="go">b 2 4</span>
</pre></div>
</div>
</dd></dl>
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