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<section id="pyspark-pandas-dataframe-merge">
<h1>pyspark.pandas.DataFrame.merge<a class="headerlink" href="#pyspark-pandas-dataframe-merge" title="Permalink to this headline">#</a></h1>
<dl class="py method">
<dt class="sig sig-object py" id="pyspark.pandas.DataFrame.merge">
<span class="sig-prename descclassname"><span class="pre">DataFrame.</span></span><span class="sig-name descname"><span class="pre">merge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">right</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">how</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'inner'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">left_on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">right_on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">left_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">right_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suffixes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">('_x',</span> <span class="pre">'_y')</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/pyspark/pandas/frame.html#DataFrame.merge"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyspark.pandas.DataFrame.merge" title="Permalink to this definition">#</a></dt>
<dd><p>Merge DataFrame objects with a database-style join.</p>
<dl class="simple">
<dt>The index of the resulting DataFrame will be one of the following:</dt><dd><ul class="simple">
<li><p>0…n if no index is used for merging</p></li>
<li><p>Index of the left DataFrame if merged only on the index of the right DataFrame</p></li>
<li><p>Index of the right DataFrame if merged only on the index of the left DataFrame</p></li>
<li><dl class="simple">
<dt>All involved indices if merged using the indices of both DataFrames</dt><dd><p>e.g. if <cite>left</cite> with indices (a, x) and <cite>right</cite> with indices (b, x), the result will
be an index (x, a, b)</p>
</dd>
</dl>
</li>
</ul>
</dd>
</dl>
<dl class="field-list">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl>
<dt><strong>right: Object to merge with.</strong></dt><dd></dd>
<dt><strong>how: Type of merge to be performed.</strong></dt><dd><p>{‘left’, ‘right’, ‘outer’, ‘inner’}, default ‘inner’</p>
<dl class="simple">
<dt>left: use only keys from left frame, like a SQL left outer join; not preserve</dt><dd><p>key order unlike pandas.</p>
</dd>
<dt>right: use only keys from right frame, like a SQL right outer join; not preserve</dt><dd><p>key order unlike pandas.</p>
</dd>
<dt>outer: use union of keys from both frames, like a SQL full outer join; sort keys</dt><dd><p>lexicographically.</p>
</dd>
<dt>inner: use intersection of keys from both frames, like a SQL inner join;</dt><dd><p>not preserve the order of the left keys unlike pandas.</p>
</dd>
</dl>
</dd>
<dt><strong>on: Column or index level names to join on. These must be found in both DataFrames. If on</strong></dt><dd><p>is None and not merging on indexes then this defaults to the intersection of the
columns in both DataFrames.</p>
</dd>
<dt><strong>left_on: Column or index level names to join on in the left DataFrame. Can also</strong></dt><dd><p>be an array or list of arrays of the length of the left DataFrame.
These arrays are treated as if they are columns.</p>
</dd>
<dt><strong>right_on: Column or index level names to join on in the right DataFrame. Can also</strong></dt><dd><p>be an array or list of arrays of the length of the right DataFrame.
These arrays are treated as if they are columns.</p>
</dd>
<dt><strong>left_index: Use the index from the left DataFrame as the join key(s). If it is a</strong></dt><dd><p>MultiIndex, the number of keys in the other DataFrame (either the index or a number of
columns) must match the number of levels.</p>
</dd>
<dt><strong>right_index: Use the index from the right DataFrame as the join key. Same caveats as</strong></dt><dd><p>left_index.</p>
</dd>
<dt><strong>suffixes: Suffix to apply to overlapping column names in the left and right side,</strong></dt><dd><p>respectively.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt>DataFrame</dt><dd><p>A DataFrame of the two merged objects.</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.join.html#pyspark.pandas.DataFrame.join" title="pyspark.pandas.DataFrame.join"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.join</span></code></a></dt><dd><p>Join columns of another DataFrame.</p>
</dd>
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.update.html#pyspark.pandas.DataFrame.update" title="pyspark.pandas.DataFrame.update"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.update</span></code></a></dt><dd><p>Modify in place using non-NA values from another DataFrame.</p>
</dd>
<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.hint</span></code></dt><dd><p>Specifies some hint on the current DataFrame.</p>
</dd>
<dt><a class="reference internal" href="pyspark.pandas.broadcast.html#pyspark.pandas.broadcast" title="pyspark.pandas.broadcast"><code class="xref py py-obj docutils literal notranslate"><span class="pre">broadcast</span></code></a></dt><dd><p>Marks a DataFrame as small enough for use in broadcast joins.</p>
</dd>
</dl>
</div>
<p class="rubric">Notes</p>
<dl class="simple">
<dt>As described in #263, joining string columns currently returns None for missing values</dt><dd><p>instead of NaN.</p>
</dd>
</dl>
<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">df1</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;lkey&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;foo&#39;</span><span class="p">,</span> <span class="s1">&#39;bar&#39;</span><span class="p">,</span> <span class="s1">&#39;baz&#39;</span><span class="p">,</span> <span class="s1">&#39;foo&#39;</span><span class="p">],</span>
<span class="gp">... </span> <span class="s1">&#39;value&#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="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;lkey&#39;</span><span class="p">,</span> <span class="s1">&#39;value&#39;</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df2</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;rkey&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;foo&#39;</span><span class="p">,</span> <span class="s1">&#39;bar&#39;</span><span class="p">,</span> <span class="s1">&#39;baz&#39;</span><span class="p">,</span> <span class="s1">&#39;foo&#39;</span><span class="p">],</span>
<span class="gp">... </span> <span class="s1">&#39;value&#39;</span><span class="p">:</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="mi">8</span><span class="p">]},</span>
<span class="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;rkey&#39;</span><span class="p">,</span> <span class="s1">&#39;value&#39;</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df1</span>
<span class="go"> lkey value</span>
<span class="go">0 foo 1</span>
<span class="go">1 bar 2</span>
<span class="go">2 baz 3</span>
<span class="go">3 foo 5</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df2</span>
<span class="go"> rkey value</span>
<span class="go">0 foo 5</span>
<span class="go">1 bar 6</span>
<span class="go">2 baz 7</span>
<span class="go">3 foo 8</span>
</pre></div>
</div>
<p>Merge df1 and df2 on the lkey and rkey columns. The value columns have
the default suffixes, _x and _y, appended.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">merged</span> <span class="o">=</span> <span class="n">df1</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df2</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s1">&#39;lkey&#39;</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s1">&#39;rkey&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">merged</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;lkey&#39;</span><span class="p">,</span> <span class="s1">&#39;value_x&#39;</span><span class="p">,</span> <span class="s1">&#39;rkey&#39;</span><span class="p">,</span> <span class="s1">&#39;value_y&#39;</span><span class="p">])</span>
<span class="go"> lkey value_x rkey value_y</span>
<span class="go">...bar 2 bar 6</span>
<span class="go">...baz 3 baz 7</span>
<span class="go">...foo 1 foo 5</span>
<span class="go">...foo 1 foo 8</span>
<span class="go">...foo 5 foo 5</span>
<span class="go">...foo 5 foo 8</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">left_psdf</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;A&#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="gp">&gt;&gt;&gt; </span><span class="n">right_psdf</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;B&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">]},</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</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">left_psdf</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">right_psdf</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</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">1 2 x</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">left_psdf</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">right_psdf</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</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">0 1 None</span>
<span class="go">1 2 x</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">left_psdf</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">right_psdf</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;right&#39;</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">1 2.0 x</span>
<span class="go">2 NaN y</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">left_psdf</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">right_psdf</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;outer&#39;</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">0 1.0 None</span>
<span class="go">1 2.0 x</span>
<span class="go">2 NaN y</span>
</pre></div>
</div>
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