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Posted to commits@arrow.apache.org by uw...@apache.org on 2017/11/19 14:56:25 UTC
[12/19] arrow-site git commit: API doc update
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.Decimal128Array.html
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+
+ <div class="section" id="pyarrow-lib-decimal128array">
+<h1>pyarrow.lib.Decimal128Array<a class="headerlink" href="#pyarrow-lib-decimal128array" title="Permalink to this headline">¶</a></h1>
+<dl class="class">
+<dt id="pyarrow.lib.Decimal128Array">
+<em class="property">class </em><code class="descclassname">pyarrow.lib.</code><code class="descname">Decimal128Array</code><a class="headerlink" href="#pyarrow.lib.Decimal128Array" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="pyarrow.lib.FixedSizeBinaryArray.html#pyarrow.lib.FixedSizeBinaryArray" title="pyarrow.lib.FixedSizeBinaryArray"><code class="xref py py-class docutils literal"><span class="pre">pyarrow.lib.FixedSizeBinaryArray</span></code></a></p>
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.__init__">
+<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.__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 border="1" class="longtable docutils">
+<colgroup>
+<col width="10%" />
+<col width="90%" />
+</colgroup>
+<tbody valign="top">
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.cast" title="pyarrow.lib.Decimal128Array.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
+<td>Cast array values to another data type</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.dictionary_encode" title="pyarrow.lib.Decimal128Array.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
+<td>Compute dictionary-encoded representation of array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.equals" title="pyarrow.lib.Decimal128Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.from_pandas" title="pyarrow.lib.Decimal128Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.isnull" title="pyarrow.lib.Decimal128Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.slice" title="pyarrow.lib.Decimal128Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.to_pandas" title="pyarrow.lib.Decimal128Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
+<td>Convert to an array object suitable for use in pandas</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.to_pylist" title="pyarrow.lib.Decimal128Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<td>Convert to an list of native Python objects.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.unique" title="pyarrow.lib.Decimal128Array.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Decimal128Array.validate" title="pyarrow.lib.Decimal128Array.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
+<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.cast">
+<code class="descname">cast</code><span class="sig-paren">(</span><em>self</em>, <em>target_type</em>, <em>safe=True</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.cast" title="Permalink to this definition">¶</a></dt>
+<dd><p>Cast array values to another data type</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>target_type</strong> (<a class="reference internal" href="pyarrow.lib.DataType.html#pyarrow.lib.DataType" title="pyarrow.lib.DataType"><em>DataType</em></a>) – Type to cast to</li>
+<li><strong>safe</strong> (<em>boolean</em><em>, </em><em>default True</em>) – Check for overflows or other unsafe conversions</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>casted</strong> (<em>Array</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute dictionary-encoded representation of array</p>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.from_pandas">
+<code class="descname">from_pandas</code><span class="sig-paren">(</span><em>obj</em>, <em>mask=None</em>, <em>type=None</em>, <em>MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.from_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert pandas.Series to an Arrow Array, using pandas’s semantics about
+what values indicate nulls. See pyarrow.array for more general
+conversion from arrays or sequences to Arrow arrays</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>sequence</strong> (<em>ndarray</em><em>, </em><em>Inded Series</em>) – </li>
+<li><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)</li>
+<li><strong>type</strong> (<em>pyarrow.DataType</em>) – Explicit type to attempt to coerce to, otherwise will be inferred
+from the data</li>
+<li><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</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<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>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body"><ul class="simple">
+<li><strong>array</strong> (<em>pyarrow.Array or pyarrow.ChunkedArray (if object data</em>)</li>
+<li><em>overflows binary buffer)</em></li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.lib.Decimal128Array.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.lib.Decimal128Array.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.slice">
+<code class="descname">slice</code><span class="sig-paren">(</span><em>self</em>, <em>offset=0</em>, <em>length=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.slice" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute zero-copy slice of this array</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from
+offset)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>sliced</strong> (<em>RecordBatch</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.to_pandas">
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.to_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert to an array object suitable for use in pandas</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<div class="admonition seealso">
+<p class="first admonition-title">See also</p>
+<p class="last"><code class="xref py py-meth docutils literal"><span class="pre">Column.to_pandas()</span></code>, <code class="xref py py-meth docutils literal"><span class="pre">Table.to_pandas()</span></code>, <code class="xref py py-meth docutils literal"><span class="pre">RecordBatch.to_pandas()</span></code></p>
+</div>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.to_pylist">
+<code class="descname">to_pylist</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.to_pylist" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert to an list of native Python objects.</p>
+</dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.lib.Decimal128Array.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.lib.Decimal128Array.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.lib.Decimal128Array.validate">
+<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Decimal128Array.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Perform any validation checks implemented by
+arrow::ValidateArray. Raises exception with error message if array does
+not validate</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Raises:</th><td class="field-body"><code class="xref py py-exc docutils literal"><span class="pre">ArrowInvalid</span></code></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</dd></dl>
+
+</div>
+
+
+ </div>
+
+ </div>
+</div>
+<footer class="footer">
+ <div class="container">
+ <p class="pull-right">
+ <a href="#">Back to top</a>
+
+ </p>
+ <p>
+ © Copyright 2016-2017 Apache Software Foundation.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
+ </p>
+ </div>
+</footer>
+ </body>
+</html>
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.DictionaryArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.DictionaryArray.html b/docs/python/generated/pyarrow.lib.DictionaryArray.html
index d8475b7..5e9d7a4 100644
--- a/docs/python/generated/pyarrow.lib.DictionaryArray.html
+++ b/docs/python/generated/pyarrow.lib.DictionaryArray.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -158,27 +159,33 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.cast" title="pyarrow.lib.DictionaryArray.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
<td>Cast array values to another data type</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.equals" title="pyarrow.lib.DictionaryArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.dictionary_encode" title="pyarrow.lib.DictionaryArray.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.from_arrays" title="pyarrow.lib.DictionaryArray.from_arrays"><code class="xref py py-obj docutils literal"><span class="pre">from_arrays</span></code></a>(indices, dictionary[, mask, ordered])</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.equals" title="pyarrow.lib.DictionaryArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.from_arrays" title="pyarrow.lib.DictionaryArray.from_arrays"><code class="xref py py-obj docutils literal"><span class="pre">from_arrays</span></code></a>(indices, dictionary[, mask, …])</td>
<td>Construct Arrow DictionaryArray from array of indices (must be</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.from_pandas" title="pyarrow.lib.DictionaryArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.from_pandas" title="pyarrow.lib.DictionaryArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.isnull" title="pyarrow.lib.DictionaryArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.isnull" title="pyarrow.lib.DictionaryArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.slice" title="pyarrow.lib.DictionaryArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.slice" title="pyarrow.lib.DictionaryArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
<td>Compute zero-copy slice of this array</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.to_pandas" title="pyarrow.lib.DictionaryArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.to_pandas" title="pyarrow.lib.DictionaryArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
<td>Convert to an array object suitable for use in pandas</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.to_pylist" title="pyarrow.lib.DictionaryArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.to_pylist" title="pyarrow.lib.DictionaryArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
<td>Convert to an list of native Python objects.</td>
</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.unique" title="pyarrow.lib.DictionaryArray.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.DictionaryArray.validate" title="pyarrow.lib.DictionaryArray.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
</tr>
@@ -211,13 +218,18 @@
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.DictionaryArray.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.DictionaryArray.equals">
<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="staticmethod">
<dt id="pyarrow.lib.DictionaryArray.from_arrays">
-<em class="property">static </em><code class="descname">from_arrays</code><span class="sig-paren">(</span><em>indices</em>, <em>dictionary</em>, <em>mask=None</em>, <em>ordered=False</em>, <em>MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.from_arrays" title="Permalink to this definition">¶</a></dt>
+<em class="property">static </em><code class="descname">from_arrays</code><span class="sig-paren">(</span><em>indices</em>, <em>dictionary</em>, <em>mask=None</em>, <em>ordered=False</em>, <em>from_pandas=False</em>, <em>MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.from_arrays" title="Permalink to this definition">¶</a></dt>
<dd><p>Construct Arrow DictionaryArray from array of indices (must be
non-negative integers) and corresponding array of dictionary values</p>
<table class="docutils field-list" frame="void" rules="none">
@@ -228,7 +240,10 @@ non-negative integers) and corresponding array of dictionary values</p>
<li><strong>indices</strong> (<em>ndarray</em><em> or </em><em>pandas.Series</em><em>, </em><em>integer type</em>) – </li>
<li><strong>dictionary</strong> (<em>ndarray</em><em> or </em><em>pandas.Series</em>) – </li>
<li><strong>mask</strong> (<em>ndarray</em><em> or </em><em>pandas.Series</em><em>, </em><em>boolean type</em>) – True values indicate that indices are actually null</li>
+<li><strong>from_pandas</strong> (<em>boolean</em><em>, </em><em>default False</em>) – If True, the indices should be treated as though they originated in
+a pandas.Categorical (null encoded as -1)</li>
<li><strong>ordered</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Set to True if the category values are ordered</li>
+<li><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 uses default pool</li>
</ul>
</td>
</tr>
@@ -318,13 +333,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.DictionaryArray.to_pandas">
-<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.to_pandas" title="Permalink to this definition">¶</a></dt>
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.to_pandas" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert to an array object suitable for use in pandas</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
</tr>
</tbody>
</table>
@@ -346,6 +366,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.DictionaryArray.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.DictionaryArray.validate">
<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.DictionaryArray.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -378,7 +404,7 @@ not validate</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.Field.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Field.html b/docs/python/generated/pyarrow.lib.Field.html
index bf5d563..a6d2b18 100644
--- a/docs/python/generated/pyarrow.lib.Field.html
+++ b/docs/python/generated/pyarrow.lib.Field.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -243,7 +244,7 @@ metadata</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html b/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html
index d50f1b8..840d7d3 100644
--- a/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html
+++ b/docs/python/generated/pyarrow.lib.FixedSizeBinaryArray.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -158,24 +159,30 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.cast" title="pyarrow.lib.FixedSizeBinaryArray.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
<td>Cast array values to another data type</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.equals" title="pyarrow.lib.FixedSizeBinaryArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.dictionary_encode" title="pyarrow.lib.FixedSizeBinaryArray.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
+<td>Compute dictionary-encoded representation of array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.equals" title="pyarrow.lib.FixedSizeBinaryArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.from_pandas" title="pyarrow.lib.FixedSizeBinaryArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.from_pandas" title="pyarrow.lib.FixedSizeBinaryArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.isnull" title="pyarrow.lib.FixedSizeBinaryArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.isnull" title="pyarrow.lib.FixedSizeBinaryArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.slice" title="pyarrow.lib.FixedSizeBinaryArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.slice" title="pyarrow.lib.FixedSizeBinaryArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
<td>Compute zero-copy slice of this array</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.to_pandas" title="pyarrow.lib.FixedSizeBinaryArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.to_pandas" title="pyarrow.lib.FixedSizeBinaryArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
<td>Convert to an array object suitable for use in pandas</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.to_pylist" title="pyarrow.lib.FixedSizeBinaryArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.to_pylist" title="pyarrow.lib.FixedSizeBinaryArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
<td>Convert to an list of native Python objects.</td>
</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.unique" title="pyarrow.lib.FixedSizeBinaryArray.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FixedSizeBinaryArray.validate" title="pyarrow.lib.FixedSizeBinaryArray.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
</tr>
@@ -203,6 +210,12 @@
</dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.FixedSizeBinaryArray.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FixedSizeBinaryArray.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute dictionary-encoded representation of array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.FixedSizeBinaryArray.equals">
<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FixedSizeBinaryArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.FixedSizeBinaryArray.to_pandas">
-<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FixedSizeBinaryArray.to_pandas" title="Permalink to this definition">¶</a></dt>
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FixedSizeBinaryArray.to_pandas" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert to an array object suitable for use in pandas</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
</tr>
</tbody>
</table>
@@ -309,6 +327,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.FixedSizeBinaryArray.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FixedSizeBinaryArray.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.FixedSizeBinaryArray.validate">
<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FixedSizeBinaryArray.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -341,7 +365,7 @@ not validate</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.FloatingPointArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.FloatingPointArray.html b/docs/python/generated/pyarrow.lib.FloatingPointArray.html
index 2d824d7..3962d1e 100644
--- a/docs/python/generated/pyarrow.lib.FloatingPointArray.html
+++ b/docs/python/generated/pyarrow.lib.FloatingPointArray.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -158,24 +159,30 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.cast" title="pyarrow.lib.FloatingPointArray.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
<td>Cast array values to another data type</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.equals" title="pyarrow.lib.FloatingPointArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.dictionary_encode" title="pyarrow.lib.FloatingPointArray.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
+<td>Compute dictionary-encoded representation of array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.equals" title="pyarrow.lib.FloatingPointArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.from_pandas" title="pyarrow.lib.FloatingPointArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.from_pandas" title="pyarrow.lib.FloatingPointArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.isnull" title="pyarrow.lib.FloatingPointArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.isnull" title="pyarrow.lib.FloatingPointArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.slice" title="pyarrow.lib.FloatingPointArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.slice" title="pyarrow.lib.FloatingPointArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
<td>Compute zero-copy slice of this array</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.to_pandas" title="pyarrow.lib.FloatingPointArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.to_pandas" title="pyarrow.lib.FloatingPointArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
<td>Convert to an array object suitable for use in pandas</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.to_pylist" title="pyarrow.lib.FloatingPointArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.to_pylist" title="pyarrow.lib.FloatingPointArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
<td>Convert to an list of native Python objects.</td>
</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.unique" title="pyarrow.lib.FloatingPointArray.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.FloatingPointArray.validate" title="pyarrow.lib.FloatingPointArray.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
</tr>
@@ -203,6 +210,12 @@
</dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.FloatingPointArray.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FloatingPointArray.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute dictionary-encoded representation of array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.FloatingPointArray.equals">
<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FloatingPointArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.FloatingPointArray.to_pandas">
-<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FloatingPointArray.to_pandas" title="Permalink to this definition">¶</a></dt>
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FloatingPointArray.to_pandas" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert to an array object suitable for use in pandas</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
</tr>
</tbody>
</table>
@@ -309,6 +327,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.FloatingPointArray.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FloatingPointArray.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.FloatingPointArray.validate">
<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.FloatingPointArray.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -341,7 +365,7 @@ not validate</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.Int16Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Int16Array.html b/docs/python/generated/pyarrow.lib.Int16Array.html
index 4a59846..a09e8e6 100644
--- a/docs/python/generated/pyarrow.lib.Int16Array.html
+++ b/docs/python/generated/pyarrow.lib.Int16Array.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -158,24 +159,30 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.cast" title="pyarrow.lib.Int16Array.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
<td>Cast array values to another data type</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.equals" title="pyarrow.lib.Int16Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.dictionary_encode" title="pyarrow.lib.Int16Array.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
+<td>Compute dictionary-encoded representation of array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.equals" title="pyarrow.lib.Int16Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.from_pandas" title="pyarrow.lib.Int16Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.from_pandas" title="pyarrow.lib.Int16Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.isnull" title="pyarrow.lib.Int16Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.isnull" title="pyarrow.lib.Int16Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.slice" title="pyarrow.lib.Int16Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.slice" title="pyarrow.lib.Int16Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
<td>Compute zero-copy slice of this array</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.to_pandas" title="pyarrow.lib.Int16Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.to_pandas" title="pyarrow.lib.Int16Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
<td>Convert to an array object suitable for use in pandas</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.to_pylist" title="pyarrow.lib.Int16Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.to_pylist" title="pyarrow.lib.Int16Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
<td>Convert to an list of native Python objects.</td>
</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.unique" title="pyarrow.lib.Int16Array.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int16Array.validate" title="pyarrow.lib.Int16Array.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
</tr>
@@ -203,6 +210,12 @@
</dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.Int16Array.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int16Array.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute dictionary-encoded representation of array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.Int16Array.equals">
<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int16Array.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.Int16Array.to_pandas">
-<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int16Array.to_pandas" title="Permalink to this definition">¶</a></dt>
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int16Array.to_pandas" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert to an array object suitable for use in pandas</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
</tr>
</tbody>
</table>
@@ -309,6 +327,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.Int16Array.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int16Array.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.Int16Array.validate">
<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int16Array.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -341,7 +365,7 @@ not validate</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.Int32Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Int32Array.html b/docs/python/generated/pyarrow.lib.Int32Array.html
index 5892311..c4e37d2 100644
--- a/docs/python/generated/pyarrow.lib.Int32Array.html
+++ b/docs/python/generated/pyarrow.lib.Int32Array.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -158,24 +159,30 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.cast" title="pyarrow.lib.Int32Array.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
<td>Cast array values to another data type</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.equals" title="pyarrow.lib.Int32Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.dictionary_encode" title="pyarrow.lib.Int32Array.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
+<td>Compute dictionary-encoded representation of array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.equals" title="pyarrow.lib.Int32Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.from_pandas" title="pyarrow.lib.Int32Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.from_pandas" title="pyarrow.lib.Int32Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.isnull" title="pyarrow.lib.Int32Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.isnull" title="pyarrow.lib.Int32Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.slice" title="pyarrow.lib.Int32Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.slice" title="pyarrow.lib.Int32Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
<td>Compute zero-copy slice of this array</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.to_pandas" title="pyarrow.lib.Int32Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.to_pandas" title="pyarrow.lib.Int32Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
<td>Convert to an array object suitable for use in pandas</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.to_pylist" title="pyarrow.lib.Int32Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.to_pylist" title="pyarrow.lib.Int32Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
<td>Convert to an list of native Python objects.</td>
</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.unique" title="pyarrow.lib.Int32Array.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int32Array.validate" title="pyarrow.lib.Int32Array.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
</tr>
@@ -203,6 +210,12 @@
</dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.Int32Array.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int32Array.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute dictionary-encoded representation of array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.Int32Array.equals">
<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int32Array.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.Int32Array.to_pandas">
-<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int32Array.to_pandas" title="Permalink to this definition">¶</a></dt>
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int32Array.to_pandas" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert to an array object suitable for use in pandas</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
</tr>
</tbody>
</table>
@@ -309,6 +327,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.Int32Array.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int32Array.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.Int32Array.validate">
<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int32Array.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -341,7 +365,7 @@ not validate</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.Int64Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Int64Array.html b/docs/python/generated/pyarrow.lib.Int64Array.html
index a7e7804..27ec649 100644
--- a/docs/python/generated/pyarrow.lib.Int64Array.html
+++ b/docs/python/generated/pyarrow.lib.Int64Array.html
@@ -73,6 +73,7 @@
<li class="toctree-l1"><a class="reference internal" href="../plasma.html">The Plasma In-Memory Object Store</a></li>
<li class="toctree-l1"><a class="reference internal" href="../pandas.html">Using PyArrow with pandas</a></li>
<li class="toctree-l1"><a class="reference internal" href="../parquet.html">Reading and Writing the Apache Parquet Format</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../extending.html">Building C++ and Cython Extensions using pyarrow</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_involved.html">Getting Involved</a></li>
</ul>
@@ -158,24 +159,30 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.cast" title="pyarrow.lib.Int64Array.cast"><code class="xref py py-obj docutils literal"><span class="pre">cast</span></code></a>(self, target_type[, safe])</td>
<td>Cast array values to another data type</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.equals" title="pyarrow.lib.Int64Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.dictionary_encode" title="pyarrow.lib.Int64Array.dictionary_encode"><code class="xref py py-obj docutils literal"><span class="pre">dictionary_encode</span></code></a>(self)</td>
+<td>Compute dictionary-encoded representation of array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.equals" title="pyarrow.lib.Int64Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.from_pandas" title="pyarrow.lib.Int64Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.from_pandas" title="pyarrow.lib.Int64Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, type])</td>
<td>Convert pandas.Series to an Arrow Array, using pandas’s semantics about what values indicate nulls.</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.isnull" title="pyarrow.lib.Int64Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.isnull" title="pyarrow.lib.Int64Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
<td></td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.slice" title="pyarrow.lib.Int64Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.slice" title="pyarrow.lib.Int64Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
<td>Compute zero-copy slice of this array</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.to_pandas" title="pyarrow.lib.Int64Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …)</td>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.to_pandas" title="pyarrow.lib.Int64Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self, …[, zero_copy_only])</td>
<td>Convert to an array object suitable for use in pandas</td>
</tr>
-<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.to_pylist" title="pyarrow.lib.Int64Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.to_pylist" title="pyarrow.lib.Int64Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
<td>Convert to an list of native Python objects.</td>
</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.unique" title="pyarrow.lib.Int64Array.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>(self)</td>
+<td>Compute distinct elements in array</td>
+</tr>
<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.Int64Array.validate" title="pyarrow.lib.Int64Array.validate"><code class="xref py py-obj docutils literal"><span class="pre">validate</span></code></a>(self)</td>
<td>Perform any validation checks implemented by arrow::ValidateArray.</td>
</tr>
@@ -203,6 +210,12 @@
</dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.Int64Array.dictionary_encode">
+<code class="descname">dictionary_encode</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int64Array.dictionary_encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute dictionary-encoded representation of array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.Int64Array.equals">
<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int64Array.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.Int64Array.to_pandas">
-<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int64Array.to_pandas" title="Permalink to this definition">¶</a></dt>
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>bool strings_to_categorical=False</em>, <em>zero_copy_only=False</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int64Array.to_pandas" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert to an array object suitable for use in pandas</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
+<li><strong>strings_to_categorical</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Encode string (UTF8) and binary types to pandas.Categorical</li>
+<li><strong>zero_copy_only</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Raise an ArrowException if this function call would require copying
+the underlying data</li>
+</ul>
+</td>
</tr>
</tbody>
</table>
@@ -309,6 +327,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.Int64Array.unique">
+<code class="descname">unique</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int64Array.unique" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute distinct elements in array</p>
+</dd></dl>
+
+<dl class="method">
<dt id="pyarrow.lib.Int64Array.validate">
<code class="descname">validate</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.Int64Array.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -341,7 +365,7 @@ not validate</p>
</p>
<p>
© Copyright 2016-2017 Apache Software Foundation.<br/>
- Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.4.<br/>
+ Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.5.<br/>
</p>
</div>
</footer>