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<div class="section" id="pyarrow-csv-readoptions">
<h1>pyarrow.csv.ReadOptions<a class="headerlink" href="#pyarrow-csv-readoptions" title="Permalink to this headline"></a></h1>
<dl class="py class">
<dt id="pyarrow.csv.ReadOptions">
<em class="property">class </em><code class="sig-prename descclassname">pyarrow.csv.</code><code class="sig-name descname">ReadOptions</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">use_threads</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">block_size</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">skip_rows</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">column_names</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">autogenerate_column_names</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">encoding</span><span class="o">=</span><span class="default_value">'utf8'</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.csv.ReadOptions" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">pyarrow.lib._Weakrefable</span></code></p>
<p>Options for reading CSV files.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>use_threads</strong> (<em>bool</em><em>, </em><em>optional</em><em> (</em><em>default True</em><em>)</em>) – Whether to use multiple threads to accelerate reading</p></li>
<li><p><strong>block_size</strong> (<em>int</em><em>, </em><em>optional</em>) – How much bytes to process at a time from the input stream.
This will determine multi-threading granularity as well as
the size of individual chunks in the Table.</p></li>
<li><p><strong>skip_rows</strong> (<em>int</em><em>, </em><em>optional</em><em> (</em><em>default 0</em><em>)</em>) – The number of rows to skip before the column names (if any)
and the CSV data.</p></li>
<li><p><strong>column_names</strong> (<em>list</em><em>, </em><em>optional</em>) – The column names of the target table. If empty, fall back on
<cite>autogenerate_column_names</cite>.</p></li>
<li><p><strong>autogenerate_column_names</strong> (<em>bool</em><em>, </em><em>optional</em><em> (</em><em>default False</em><em>)</em>) – Whether to autogenerate column names if <cite>column_names</cite> is empty.
If true, column names will be of the form “f0”, “f1”…
If false, column names will be read from the first CSV row
after <cite>skip_rows</cite>.</p></li>
<li><p><strong>encoding</strong> (<em>str</em><em>, </em><em>optional</em><em> (</em><em>default 'utf8'</em><em>)</em>) – The character encoding of the CSV data. Columns that cannot
decode using this encoding can still be read as Binary.</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt id="pyarrow.csv.ReadOptions.__init__">
<code class="sig-name descname">__init__</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.csv.ReadOptions.__init__" title="Permalink to this definition"></a></dt>
<dd><p>Initialize self. See help(type(self)) for accurate signature.</p>
</dd></dl>
<p class="rubric">Methods</p>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.__init__" title="pyarrow.csv.ReadOptions.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(*args, **kwargs)</p></td>
<td><p>Initialize self.</p></td>
</tr>
</tbody>
</table>
<p class="rubric">Attributes</p>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.autogenerate_column_names" title="pyarrow.csv.ReadOptions.autogenerate_column_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">autogenerate_column_names</span></code></a></p></td>
<td><p>Whether to autogenerate column names if <cite>column_names</cite> is empty.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.block_size" title="pyarrow.csv.ReadOptions.block_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">block_size</span></code></a></p></td>
<td><p>How much bytes to process at a time from the input stream.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.column_names" title="pyarrow.csv.ReadOptions.column_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">column_names</span></code></a></p></td>
<td><p>The column names of the target table.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.encoding" title="pyarrow.csv.ReadOptions.encoding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">encoding</span></code></a></p></td>
<td><p>object</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.skip_rows" title="pyarrow.csv.ReadOptions.skip_rows"><code class="xref py py-obj docutils literal notranslate"><span class="pre">skip_rows</span></code></a></p></td>
<td><p>The number of rows to skip before the column names (if any) and the CSV data.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ReadOptions.use_threads" title="pyarrow.csv.ReadOptions.use_threads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">use_threads</span></code></a></p></td>
<td><p>Whether to use multiple threads to accelerate reading.</p></td>
</tr>
</tbody>
</table>
<dl class="py attribute">
<dt id="pyarrow.csv.ReadOptions.autogenerate_column_names">
<code class="sig-name descname">autogenerate_column_names</code><a class="headerlink" href="#pyarrow.csv.ReadOptions.autogenerate_column_names" title="Permalink to this definition"></a></dt>
<dd><p>Whether to autogenerate column names if <cite>column_names</cite> is empty.
If true, column names will be of the form “f0”, “f1”…
If false, column names will be read from the first CSV row
after <cite>skip_rows</cite>.</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyarrow.csv.ReadOptions.block_size">
<code class="sig-name descname">block_size</code><a class="headerlink" href="#pyarrow.csv.ReadOptions.block_size" title="Permalink to this definition"></a></dt>
<dd><p>How much bytes to process at a time from the input stream.
This will determine multi-threading granularity as well as
the size of individual chunks in the Table.</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyarrow.csv.ReadOptions.column_names">
<code class="sig-name descname">column_names</code><a class="headerlink" href="#pyarrow.csv.ReadOptions.column_names" title="Permalink to this definition"></a></dt>
<dd><p>The column names of the target table. If empty, fall back on
<cite>autogenerate_column_names</cite>.</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyarrow.csv.ReadOptions.encoding">
<code class="sig-name descname">encoding</code><a class="headerlink" href="#pyarrow.csv.ReadOptions.encoding" title="Permalink to this definition"></a></dt>
<dd><p>object</p>
<dl class="field-list simple">
<dt class="field-odd">Type</dt>
<dd class="field-odd"><p>encoding</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt id="pyarrow.csv.ReadOptions.skip_rows">
<code class="sig-name descname">skip_rows</code><a class="headerlink" href="#pyarrow.csv.ReadOptions.skip_rows" title="Permalink to this definition"></a></dt>
<dd><p>The number of rows to skip before the column names (if any)
and the CSV data.</p>
</dd></dl>
<dl class="py attribute">
<dt id="pyarrow.csv.ReadOptions.use_threads">
<code class="sig-name descname">use_threads</code><a class="headerlink" href="#pyarrow.csv.ReadOptions.use_threads" title="Permalink to this definition"></a></dt>
<dd><p>Whether to use multiple threads to accelerate reading.</p>
</dd></dl>
</dd></dl>
</div>
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