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| <div class="section" id="pyarrow-table"> |
| <h1>pyarrow.table<a class="headerlink" href="#pyarrow-table" title="Permalink to this headline">¶</a></h1> |
| <dl class="py function"> |
| <dt id="pyarrow.table"> |
| <code class="sig-prename descclassname">pyarrow.</code><code class="sig-name descname">table</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span></em>, <em class="sig-param"><span class="n">names</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">schema</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">metadata</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">nthreads</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.table" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Create a pyarrow.Table from a Python data structure or sequence of arrays.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>data</strong> (<em>pandas.DataFrame</em><em>, </em><em>dict</em><em>, </em><em>list</em>) – A DataFrame, mapping of strings to Arrays or Python lists, or list of |
| arrays or chunked arrays.</p></li> |
| <li><p><strong>names</strong> (<em>list</em><em>, </em><em>default None</em>) – Column names if list of arrays passed as data. Mutually exclusive with |
| ‘schema’ argument.</p></li> |
| <li><p><strong>schema</strong> (<a class="reference internal" href="pyarrow.Schema.html#pyarrow.Schema" title="pyarrow.Schema"><em>Schema</em></a><em>, </em><em>default None</em>) – The expected schema of the Arrow Table. If not passed, will be inferred |
| from the data. Mutually exclusive with ‘names’ argument. |
| If passed, the output will have exactly this schema (raising an error |
| when columns are not found in the data and ignoring additional data not |
| specified in the schema, when data is a dict or DataFrame).</p></li> |
| <li><p><strong>metadata</strong> (<em>dict</em><em> or </em><em>Mapping</em><em>, </em><em>default None</em>) – Optional metadata for the schema (if schema not passed).</p></li> |
| <li><p><strong>nthreads</strong> (<em>int</em><em>, </em><em>default None</em><em> (</em><em>may use up to system CPU count threads</em><em>)</em>) – For pandas.DataFrame inputs: if greater than 1, convert columns to |
| Arrow in parallel using indicated number of threads.</p></li> |
| </ul> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><p><em>Table</em></p> |
| </dd> |
| </dl> |
| <div class="admonition seealso"> |
| <p class="admonition-title">See also</p> |
| <p><a class="reference internal" href="pyarrow.Table.html#pyarrow.Table.from_arrays" title="pyarrow.Table.from_arrays"><code class="xref py py-func docutils literal notranslate"><span class="pre">Table.from_arrays()</span></code></a>, <a class="reference internal" href="pyarrow.Table.html#pyarrow.Table.from_pandas" title="pyarrow.Table.from_pandas"><code class="xref py py-func docutils literal notranslate"><span class="pre">Table.from_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.Table.html#pyarrow.Table.from_pydict" title="pyarrow.Table.from_pydict"><code class="xref py py-func docutils literal notranslate"><span class="pre">Table.from_pydict()</span></code></a></p> |
| </div> |
| </dd></dl> |
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