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| <div class="section" id="pyarrow-concat-tables"> |
| <h1>pyarrow.concat_tables<a class="headerlink" href="#pyarrow-concat-tables" title="Permalink to this headline">¶</a></h1> |
| <dl class="py function"> |
| <dt id="pyarrow.concat_tables"> |
| <code class="sig-prename descclassname">pyarrow.</code><code class="sig-name descname">concat_tables</code><span class="sig-paren">(</span><em class="sig-param">tables</em>, <em class="sig-param">bool promote=False</em>, <em class="sig-param">MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.concat_tables" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Concatenate pyarrow.Table objects.</p> |
| <p>If promote==False, a zero-copy concatenation will be performed. The schemas |
| of all the Tables must be the same (except the metadata), otherwise an |
| exception will be raised. The result Table will share the metadata with the |
| first table.</p> |
| <p>If promote==True, any null type arrays will be casted to the type of other |
| arrays in the column of the same name. If a table is missing a particular |
| field, null values of the appropriate type will be generated to take the |
| place of the missing field. The new schema will share the metadata with the |
| first table. Each field in the new schema will share the metadata with the |
| first table which has the field defined. Note that type promotions may |
| involve additional allocations on the given <code class="docutils literal notranslate"><span class="pre">memory_pool</span></code>.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>tables</strong> (<em>iterable of pyarrow.Table objects</em>) – Pyarrow tables to concatenate into a single Table.</p></li> |
| <li><p><strong>promote</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, concatenate tables with null-filling and null type promotion.</p></li> |
| <li><p><strong>memory_pool</strong> (<a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><em>MemoryPool</em></a><em>, </em><em>default None</em>) – For memory allocations, if required, otherwise use default pool.</p></li> |
| </ul> |
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