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<div class="section" id="pyspark-pandas-dataframe-to-table">
<h1>pyspark.pandas.DataFrame.to_table<a class="headerlink" href="#pyspark-pandas-dataframe-to-table" title="Permalink to this headline"></a></h1>
<dl class="py method">
<dt id="pyspark.pandas.DataFrame.to_table">
<code class="sig-prename descclassname">DataFrame.</code><code class="sig-name descname">to_table</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">name</span><span class="p">:</span> <span class="n">str</span></em>, <em class="sig-param"><span class="n">format</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>str<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">mode</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'w'</span></em>, <em class="sig-param"><span class="n">partition_cols</span><span class="p">:</span> <span class="n">Union[str, List[str], None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">index_col</span><span class="p">:</span> <span class="n">Union[str, List[str], None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">options</span><span class="p">:</span> <span class="n">Any</span></em><span class="sig-paren">)</span> &#x2192; None<a class="reference internal" href="../../../_modules/pyspark/pandas/frame.html#DataFrame.to_table"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.DataFrame.to_table" title="Permalink to this definition"></a></dt>
<dd><p>Write the DataFrame into a Spark table. <a class="reference internal" href="pyspark.pandas.DataFrame.spark.to_table.html#pyspark.pandas.DataFrame.spark.to_table" title="pyspark.pandas.DataFrame.spark.to_table"><code class="xref py py-meth docutils literal notranslate"><span class="pre">DataFrame.spark.to_table()</span></code></a>
is an alias of <a class="reference internal" href="#pyspark.pandas.DataFrame.to_table" title="pyspark.pandas.DataFrame.to_table"><code class="xref py py-meth docutils literal notranslate"><span class="pre">DataFrame.to_table()</span></code></a>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>name</strong><span class="classifier">str, required</span></dt><dd><p>Table name in Spark.</p>
</dd>
<dt><strong>format</strong><span class="classifier">string, optional</span></dt><dd><p>Specifies the output data source format. Some common ones are:</p>
<ul class="simple">
<li><p>‘delta’</p></li>
<li><p>‘parquet’</p></li>
<li><p>‘orc’</p></li>
<li><p>‘json’</p></li>
<li><p>‘csv’</p></li>
</ul>
</dd>
<dt><strong>mode</strong><span class="classifier">str {‘append’, ‘overwrite’, ‘ignore’, ‘error’, ‘errorifexists’}, default</span></dt><dd><p>‘overwrite’. Specifies the behavior of the save operation when the table exists
already.</p>
<ul class="simple">
<li><p>‘append’: Append the new data to existing data.</p></li>
<li><p>‘overwrite’: Overwrite existing data.</p></li>
<li><p>‘ignore’: Silently ignore this operation if data already exists.</p></li>
<li><p>‘error’ or ‘errorifexists’: Throw an exception if data already exists.</p></li>
</ul>
</dd>
<dt><strong>partition_cols</strong><span class="classifier">str or list of str, optional, default None</span></dt><dd><p>Names of partitioning columns</p>
</dd>
<dt><strong>index_col: str or list of str, optional, default: None</strong></dt><dd><p>Column names to be used in Spark to represent pandas-on-Spark’s index. The index name
in pandas-on-Spark is ignored. By default, the index is always lost.</p>
</dd>
<dt><strong>options</strong></dt><dd><p>Additional options passed directly to Spark.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt>None</dt><dd></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.read_table.html#pyspark.pandas.read_table" title="pyspark.pandas.read_table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_table</span></code></a></dt><dd></dd>
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_spark_io.html#pyspark.pandas.DataFrame.to_spark_io" title="pyspark.pandas.DataFrame.to_spark_io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_spark_io</span></code></a></dt><dd></dd>
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.spark.to_spark_io.html#pyspark.pandas.DataFrame.spark.to_spark_io" title="pyspark.pandas.DataFrame.spark.to_spark_io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.spark.to_spark_io</span></code></a></dt><dd></dd>
<dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_parquet.html#pyspark.pandas.DataFrame.to_parquet" title="pyspark.pandas.DataFrame.to_parquet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_parquet</span></code></a></dt><dd></dd>
</dl>
</div>
<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="nb">dict</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">date</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s1">&#39;2012-1-1 12:00:00&#39;</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&#39;M&#39;</span><span class="p">)),</span>
<span class="gp">... </span> <span class="n">country</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;KR&#39;</span><span class="p">,</span> <span class="s1">&#39;US&#39;</span><span class="p">,</span> <span class="s1">&#39;JP&#39;</span><span class="p">],</span>
<span class="gp">... </span> <span class="n">code</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><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;date&#39;</span><span class="p">,</span> <span class="s1">&#39;country&#39;</span><span class="p">,</span> <span class="s1">&#39;code&#39;</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span>
<span class="go"> date country code</span>
<span class="go">0 2012-01-31 12:00:00 KR 1</span>
<span class="go">1 2012-02-29 12:00:00 US 2</span>
<span class="go">2 2012-03-31 12:00:00 JP 3</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">df</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%s</span><span class="s1">.my_table&#39;</span> <span class="o">%</span> <span class="n">db</span><span class="p">,</span> <span class="n">partition_cols</span><span class="o">=</span><span class="s1">&#39;date&#39;</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
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