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| <div class="section" id="pyarrow-array"> |
| <h1>pyarrow.Array<a class="headerlink" href="#pyarrow-array" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyarrow.Array"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyarrow.</code><code class="sig-name descname">Array</code><a class="headerlink" href="#pyarrow.Array" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">pyarrow.lib._PandasConvertible</span></code></p> |
| <p>The base class for all Arrow arrays.</p> |
| <dl class="py method"> |
| <dt id="pyarrow.Array.__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.Array.__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.Array.__init__" title="pyarrow.Array.__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> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.buffers" title="pyarrow.Array.buffers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">buffers</span></code></a>(self)</p></td> |
| <td><p>Return a list of Buffer objects pointing to this array’s physical storage.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.cast" title="pyarrow.Array.cast"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cast</span></code></a>(self, target_type[, safe])</p></td> |
| <td><p>Cast array values to another data type</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.dictionary_encode" title="pyarrow.Array.dictionary_encode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dictionary_encode</span></code></a>(self)</p></td> |
| <td><p>Compute dictionary-encoded representation of array.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.diff" title="pyarrow.Array.diff"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diff</span></code></a>(self, Array other)</p></td> |
| <td><p>Compare contents of this array against another one.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.equals" title="pyarrow.Array.equals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">equals</span></code></a>(self, Array other)</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.fill_null" title="pyarrow.Array.fill_null"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_null</span></code></a>(self, fill_value)</p></td> |
| <td><p>See pyarrow.compute.fill_null for usage.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.filter" title="pyarrow.Array.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">filter</span></code></a>(self, Array mask[, …])</p></td> |
| <td><p>Select values from an array.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.format" title="pyarrow.Array.format"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format</span></code></a>(self, **kwargs)</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.from_buffers" title="pyarrow.Array.from_buffers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_buffers</span></code></a>(DataType type, length, buffers)</p></td> |
| <td><p>Construct an Array from a sequence of buffers.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.from_pandas" title="pyarrow.Array.from_pandas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</p></td> |
| <td><p>Convert pandas.Series to an Arrow Array.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.is_null" title="pyarrow.Array.is_null"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_null</span></code></a>(self)</p></td> |
| <td><p>Return BooleanArray indicating the null values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.is_valid" title="pyarrow.Array.is_valid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_valid</span></code></a>(self)</p></td> |
| <td><p>Return BooleanArray indicating the non-null values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.slice" title="pyarrow.Array.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(self[, offset, length])</p></td> |
| <td><p>Compute zero-copy slice of this array.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.sum" title="pyarrow.Array.sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sum</span></code></a>(self)</p></td> |
| <td><p>Sum the values in a numerical array.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.take" title="pyarrow.Array.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code></a>(self, indices)</p></td> |
| <td><p>Select values from an array.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.to_numpy" title="pyarrow.Array.to_numpy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_numpy</span></code></a>(self[, zero_copy_only, writable])</p></td> |
| <td><p>Return a NumPy view or copy of this array (experimental).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.to_pandas" title="pyarrow.Array.to_pandas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_pandas</span></code></a>(self[, memory_pool, categories, …])</p></td> |
| <td><p>Convert to a pandas-compatible NumPy array or DataFrame, as appropriate</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.to_pylist" title="pyarrow.Array.to_pylist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_pylist</span></code></a>(self)</p></td> |
| <td><p>Convert to a list of native Python objects.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.to_string" title="pyarrow.Array.to_string"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_string</span></code></a>(self, int indent=0, int window=10)</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.tolist" title="pyarrow.Array.tolist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tolist</span></code></a>(self)</p></td> |
| <td><p>Alias of to_pylist for compatibility with NumPy.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.unique" title="pyarrow.Array.unique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unique</span></code></a>(self)</p></td> |
| <td><p>Compute distinct elements in array.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.validate" title="pyarrow.Array.validate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">validate</span></code></a>(self, *[, full])</p></td> |
| <td><p>Perform validation checks.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.value_counts" title="pyarrow.Array.value_counts"><code class="xref py py-obj docutils literal notranslate"><span class="pre">value_counts</span></code></a>(self)</p></td> |
| <td><p>Compute counts of unique elements in array.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.view" title="pyarrow.Array.view"><code class="xref py py-obj docutils literal notranslate"><span class="pre">view</span></code></a>(self, target_type)</p></td> |
| <td><p>Return zero-copy “view” of array as another data type.</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.Array.nbytes" title="pyarrow.Array.nbytes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nbytes</span></code></a></p></td> |
| <td><p>Total number of bytes consumed by the elements of the array.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.null_count" title="pyarrow.Array.null_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">null_count</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.Array.offset" title="pyarrow.Array.offset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">offset</span></code></a></p></td> |
| <td><p>A relative position into another array’s data.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.Array.type" title="pyarrow.Array.type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">type</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| </tbody> |
| </table> |
| <dl class="py method"> |
| <dt id="pyarrow.Array.buffers"> |
| <code class="sig-name descname">buffers</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.buffers" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return a list of Buffer objects pointing to this array’s physical |
| storage.</p> |
| <p>To correctly interpret these buffers, you need to also apply the offset |
| multiplied with the size of the stored data type.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.cast"> |
| <code class="sig-name descname">cast</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">target_type</span></em>, <em class="sig-param"><span class="n">safe</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.cast" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Cast array values to another data type</p> |
| <p>See pyarrow.compute.cast for usage</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.dictionary_encode"> |
| <code class="sig-name descname">dictionary_encode</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.dictionary_encode" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Compute dictionary-encoded representation of array.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.diff"> |
| <code class="sig-name descname">diff</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.diff" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Compare contents of this array against another one.</p> |
| <p>Return string containing the result of arrow::Diff comparing contents |
| of this array against the other array.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.equals"> |
| <code class="sig-name descname">equals</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.equals" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.fill_null"> |
| <code class="sig-name descname">fill_null</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">fill_value</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.fill_null" title="Permalink to this definition">¶</a></dt> |
| <dd><p>See pyarrow.compute.fill_null for usage.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.filter"> |
| <code class="sig-name descname">filter</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">Array mask</em>, <em class="sig-param">null_selection_behavior=u'drop'</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.filter" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Select values from an array. See pyarrow.compute.filter for full usage.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.format"> |
| <code class="sig-name descname">format</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</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.Array.format" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.from_buffers"> |
| <em class="property">static </em><code class="sig-name descname">from_buffers</code><span class="sig-paren">(</span><em class="sig-param">DataType type</em>, <em class="sig-param">length</em>, <em class="sig-param">buffers</em>, <em class="sig-param">null_count=-1</em>, <em class="sig-param">offset=0</em>, <em class="sig-param">children=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.from_buffers" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Construct an Array from a sequence of buffers.</p> |
| <p>The concrete type returned depends on the datatype.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>type</strong> (<a class="reference internal" href="pyarrow.DataType.html#pyarrow.DataType" title="pyarrow.DataType"><em>DataType</em></a>) – The value type of the array.</p></li> |
| <li><p><strong>length</strong> (<em>int</em>) – The number of values in the array.</p></li> |
| <li><p><strong>buffers</strong> (<em>List</em><em>[</em><a class="reference internal" href="pyarrow.Buffer.html#pyarrow.Buffer" title="pyarrow.Buffer"><em>Buffer</em></a><em>]</em>) – The buffers backing this array.</p></li> |
| <li><p><strong>null_count</strong> (<em>int</em><em>, </em><em>default -1</em>) – The number of null entries in the array. Negative value means that |
| the null count is not known.</p></li> |
| <li><p><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – The array’s logical offset (in values, not in bytes) from the |
| start of each buffer.</p></li> |
| <li><p><strong>children</strong> (<em>List</em><em>[</em><a class="reference internal" href="#pyarrow.Array" title="pyarrow.Array"><em>Array</em></a><em>]</em><em>, </em><em>default None</em>) – Nested type children with length matching type.num_fields.</p></li> |
| </ul> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><p><strong>array</strong> (<em>Array</em>)</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.from_pandas"> |
| <em class="property">static </em><code class="sig-name descname">from_pandas</code><span class="sig-paren">(</span><em class="sig-param">obj</em>, <em class="sig-param">mask=None</em>, <em class="sig-param">type=None</em>, <em class="sig-param">bool safe=True</em>, <em class="sig-param">MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.from_pandas" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Convert pandas.Series to an Arrow Array.</p> |
| <p>This method uses Pandas semantics about what values indicate |
| nulls. See pyarrow.array for more general conversion from arrays or |
| sequences to Arrow arrays.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>sequence</strong> (<em>ndarray</em><em>, </em><em>pandas.Series</em><em>, </em><em>array-like</em>) – </p></li> |
| <li><p><strong>mask</strong> (<em>array</em><em> (</em><em>boolean</em><em>)</em><em>, </em><em>optional</em>) – Indicate which values are null (True) or not null (False).</p></li> |
| <li><p><strong>type</strong> (<a class="reference internal" href="pyarrow.DataType.html#pyarrow.DataType" title="pyarrow.DataType"><em>pyarrow.DataType</em></a>) – Explicit type to attempt to coerce to, otherwise will be inferred |
| from the data.</p></li> |
| <li><p><strong>safe</strong> (<em>bool</em><em>, </em><em>default True</em>) – Check for overflows or other unsafe conversions.</p></li> |
| <li><p><strong>memory_pool</strong> (<a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><em>pyarrow.MemoryPool</em></a><em>, </em><em>optional</em>) – If not passed, will allocate memory from the currently-set default |
| memory pool.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| <p class="rubric">Notes</p> |
| <p>Localized timestamps will currently be returned as UTC (pandas’s native |
| representation). Timezone-naive data will be implicitly interpreted as |
| UTC.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Returns</dt> |
| <dd class="field-odd"><p><strong>array</strong> (<em>pyarrow.Array or pyarrow.ChunkedArray</em>) – ChunkedArray is returned if object data overflows binary buffer.</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.is_null"> |
| <code class="sig-name descname">is_null</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.is_null" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return BooleanArray indicating the null values.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.is_valid"> |
| <code class="sig-name descname">is_valid</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.is_valid" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return BooleanArray indicating the non-null values.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyarrow.Array.nbytes"> |
| <code class="sig-name descname">nbytes</code><a class="headerlink" href="#pyarrow.Array.nbytes" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Total number of bytes consumed by the elements of the array.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyarrow.Array.null_count"> |
| <code class="sig-name descname">null_count</code><a class="headerlink" href="#pyarrow.Array.null_count" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyarrow.Array.offset"> |
| <code class="sig-name descname">offset</code><a class="headerlink" href="#pyarrow.Array.offset" title="Permalink to this definition">¶</a></dt> |
| <dd><p>A relative position into another array’s data.</p> |
| <p>The purpose is to enable zero-copy slicing. This value defaults to zero |
| but must be applied on all operations with the physical storage |
| buffers.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.slice"> |
| <code class="sig-name descname">slice</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">offset</span><span class="o">=</span><span class="default_value">0</span></em>, <em class="sig-param"><span class="n">length</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.slice" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Compute zero-copy slice of this array.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice.</p></li> |
| <li><p><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from |
| offset).</p></li> |
| </ul> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><p><strong>sliced</strong> (<em>RecordBatch</em>)</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.sum"> |
| <code class="sig-name descname">sum</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.sum" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Sum the values in a numerical array.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.take"> |
| <code class="sig-name descname">take</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">indices</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.take" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Select values from an array. See pyarrow.compute.take for full usage.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.to_numpy"> |
| <code class="sig-name descname">to_numpy</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">zero_copy_only</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">writable</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.to_numpy" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return a NumPy view or copy of this array (experimental).</p> |
| <p>By default, tries to return a view of this array. This is only |
| supported for primitive arrays with the same memory layout as NumPy |
| (i.e. integers, floating point, ..) and without any nulls.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>zero_copy_only</strong> (<em>bool</em><em>, </em><em>default True</em>) – If True, an exception will be raised if the conversion to a numpy |
| array would require copying the underlying data (e.g. in presence |
| of nulls, or for non-primitive types).</p></li> |
| <li><p><strong>writable</strong> (<em>bool</em><em>, </em><em>default False</em>) – For numpy arrays created with zero copy (view on the Arrow data), |
| the resulting array is not writable (Arrow data is immutable). |
| By setting this to True, a copy of the array is made to ensure |
| it is writable.</p></li> |
| </ul> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><p><strong>array</strong> (<em>numpy.ndarray</em>)</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.to_pandas"> |
| <code class="sig-name descname">to_pandas</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">memory_pool=None</em>, <em class="sig-param">categories=None</em>, <em class="sig-param">bool strings_to_categorical=False</em>, <em class="sig-param">bool zero_copy_only=False</em>, <em class="sig-param">bool integer_object_nulls=False</em>, <em class="sig-param">bool date_as_object=True</em>, <em class="sig-param">bool timestamp_as_object=False</em>, <em class="sig-param">bool use_threads=True</em>, <em class="sig-param">bool deduplicate_objects=True</em>, <em class="sig-param">bool ignore_metadata=False</em>, <em class="sig-param">bool safe=True</em>, <em class="sig-param">bool split_blocks=False</em>, <em class="sig-param">bool self_destruct=False</em>, <em class="sig-param">types_mapper=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.to_pandas" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Convert to a pandas-compatible NumPy array or DataFrame, as appropriate</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <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>) – Arrow MemoryPool to use for allocations. Uses the default memory |
| pool is not passed.</p></li> |
| <li><p><strong>strings_to_categorical</strong> (<em>bool</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical.</p></li> |
| <li><p><strong>categories</strong> (<em>list</em><em>, </em><em>default empty</em>) – List of fields that should be returned as pandas.Categorical. Only |
| applies to table-like data structures.</p></li> |
| <li><p><strong>zero_copy_only</strong> (<em>bool</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying |
| the underlying data.</p></li> |
| <li><p><strong>integer_object_nulls</strong> (<em>bool</em><em>, </em><em>default False</em>) – Cast integers with nulls to objects</p></li> |
| <li><p><strong>date_as_object</strong> (<em>bool</em><em>, </em><em>default True</em>) – Cast dates to objects. If False, convert to datetime64[ns] dtype.</p></li> |
| <li><p><strong>timestamp_as_object</strong> (<em>bool</em><em>, </em><em>default False</em>) – Cast non-nanosecond timestamps (np.datetime64) to objects. This is |
| useful if you have timestamps that don’t fit in the normal date |
| range of nanosecond timestamps (1678 CE-2262 CE). |
| If False, all timestamps are converted to datetime64[ns] dtype.</p></li> |
| <li><p><strong>use_threads</strong> (<em>bool</em><em>, </em><em>default True</em>) – Whether to parallelize the conversion using multiple threads.</p></li> |
| <li><p><strong>deduplicate_objects</strong> (<em>bool</em><em>, </em><em>default False</em>) – Do not create multiple copies Python objects when created, to save |
| on memory use. Conversion will be slower.</p></li> |
| <li><p><strong>ignore_metadata</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, do not use the ‘pandas’ metadata to reconstruct the |
| DataFrame index, if present</p></li> |
| <li><p><strong>safe</strong> (<em>bool</em><em>, </em><em>default True</em>) – For certain data types, a cast is needed in order to store the |
| data in a pandas DataFrame or Series (e.g. timestamps are always |
| stored as nanoseconds in pandas). This option controls whether it |
| is a safe cast or not.</p></li> |
| <li><p><strong>split_blocks</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, generate one internal “block” for each column when |
| creating a pandas.DataFrame from a RecordBatch or Table. While this |
| can temporarily reduce memory note that various pandas operations |
| can trigger “consolidation” which may balloon memory use.</p></li> |
| <li><p><strong>self_destruct</strong> (<em>bool</em><em>, </em><em>default False</em>) – EXPERIMENTAL: If True, attempt to deallocate the originating Arrow |
| memory while converting the Arrow object to pandas. If you use the |
| object after calling to_pandas with this option it will crash your |
| program.</p></li> |
| <li><p><strong>types_mapper</strong> (<em>function</em><em>, </em><em>default None</em>) – A function mapping a pyarrow DataType to a pandas ExtensionDtype. |
| This can be used to override the default pandas type for conversion |
| of built-in pyarrow types or in absence of pandas_metadata in the |
| Table schema. The function receives a pyarrow DataType and is |
| expected to return a pandas ExtensionDtype or <code class="docutils literal notranslate"><span class="pre">None</span></code> if the |
| default conversion should be used for that type. If you have |
| a dictionary mapping, you can pass <code class="docutils literal notranslate"><span class="pre">dict.get</span></code> as function.</p></li> |
| </ul> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><p><em>pandas.Series or pandas.DataFrame depending on type of object</em></p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.to_pylist"> |
| <code class="sig-name descname">to_pylist</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.to_pylist" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Convert to a list of native Python objects.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Returns</dt> |
| <dd class="field-odd"><p><strong>lst</strong> (<em>list</em>)</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.to_string"> |
| <code class="sig-name descname">to_string</code><span class="sig-paren">(</span><em class="sig-param">self</em>, <em class="sig-param">int indent=0</em>, <em class="sig-param">int window=10</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.to_string" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.tolist"> |
| <code class="sig-name descname">tolist</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.tolist" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Alias of to_pylist for compatibility with NumPy.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyarrow.Array.type"> |
| <code class="sig-name descname">type</code><a class="headerlink" href="#pyarrow.Array.type" title="Permalink to this definition">¶</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.unique"> |
| <code class="sig-name descname">unique</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.unique" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Compute distinct elements in array.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.validate"> |
| <code class="sig-name descname">validate</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">full</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.validate" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Perform validation checks. An exception is raised if validation fails.</p> |
| <p>By default only cheap validation checks are run. Pass <cite>full=True</cite> |
| for thorough validation checks (potentially O(n)).</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><p><strong>full</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, run expensive checks, otherwise cheap checks only.</p> |
| </dd> |
| <dt class="field-even">Raises</dt> |
| <dd class="field-even"><p><strong>ArrowInvalid</strong> – </p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.value_counts"> |
| <code class="sig-name descname">value_counts</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.value_counts" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Compute counts of unique elements in array.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Returns</dt> |
| <dd class="field-odd"><p><em>An array of <input type “Values”, int64_t “Counts”> structs</em></p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt id="pyarrow.Array.view"> |
| <code class="sig-name descname">view</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">target_type</span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Array.view" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return zero-copy “view” of array as another data type.</p> |
| <p>The data types must have compatible columnar buffer layouts</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><p><strong>target_type</strong> (<a class="reference internal" href="pyarrow.DataType.html#pyarrow.DataType" title="pyarrow.DataType"><em>DataType</em></a>) – Type to construct view as.</p> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><p><strong>view</strong> (<em>Array</em>)</p> |
| </dd> |
| </dl> |
| </dd></dl> |
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