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Posted to commits@arrow.apache.org by uw...@apache.org on 2017/11/19 14:56:24 UTC
[11/19] arrow-site git commit: API doc update
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35611f84/docs/python/generated/pyarrow.lib.Int8Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Int8Array.html b/docs/python/generated/pyarrow.lib.Int8Array.html
index c89a2fc..7808045 100644
--- a/docs/python/generated/pyarrow.lib.Int8Array.html
+++ b/docs/python/generated/pyarrow.lib.Int8Array.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.Int8Array.cast" title="pyarrow.lib.Int8Array.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.Int8Array.equals" title="pyarrow.lib.Int8Array.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.Int8Array.dictionary_encode" title="pyarrow.lib.Int8Array.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.Int8Array.equals" title="pyarrow.lib.Int8Array.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.Int8Array.from_pandas" title="pyarrow.lib.Int8Array.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.Int8Array.from_pandas" title="pyarrow.lib.Int8Array.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.Int8Array.isnull" title="pyarrow.lib.Int8Array.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.Int8Array.isnull" title="pyarrow.lib.Int8Array.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.Int8Array.slice" title="pyarrow.lib.Int8Array.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.Int8Array.slice" title="pyarrow.lib.Int8Array.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.Int8Array.to_pandas" title="pyarrow.lib.Int8Array.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.Int8Array.to_pandas" title="pyarrow.lib.Int8Array.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.Int8Array.to_pylist" title="pyarrow.lib.Int8Array.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.Int8Array.to_pylist" title="pyarrow.lib.Int8Array.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.Int8Array.unique" title="pyarrow.lib.Int8Array.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.Int8Array.validate" title="pyarrow.lib.Int8Array.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.Int8Array.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.Int8Array.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.Int8Array.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.Int8Array.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.Int8Array.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.Int8Array.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.Int8Array.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.Int8Array.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.Int8Array.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.Int8Array.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.Int8Array.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.IntegerArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.IntegerArray.html b/docs/python/generated/pyarrow.lib.IntegerArray.html
index dfac757..6447482 100644
--- a/docs/python/generated/pyarrow.lib.IntegerArray.html
+++ b/docs/python/generated/pyarrow.lib.IntegerArray.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.IntegerArray.cast" title="pyarrow.lib.IntegerArray.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.IntegerArray.equals" title="pyarrow.lib.IntegerArray.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.IntegerArray.dictionary_encode" title="pyarrow.lib.IntegerArray.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.IntegerArray.equals" title="pyarrow.lib.IntegerArray.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.IntegerArray.from_pandas" title="pyarrow.lib.IntegerArray.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.IntegerArray.from_pandas" title="pyarrow.lib.IntegerArray.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.IntegerArray.isnull" title="pyarrow.lib.IntegerArray.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.IntegerArray.isnull" title="pyarrow.lib.IntegerArray.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.IntegerArray.slice" title="pyarrow.lib.IntegerArray.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.IntegerArray.slice" title="pyarrow.lib.IntegerArray.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.IntegerArray.to_pandas" title="pyarrow.lib.IntegerArray.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.IntegerArray.to_pandas" title="pyarrow.lib.IntegerArray.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.IntegerArray.to_pylist" title="pyarrow.lib.IntegerArray.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.IntegerArray.to_pylist" title="pyarrow.lib.IntegerArray.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.IntegerArray.unique" title="pyarrow.lib.IntegerArray.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.IntegerArray.validate" title="pyarrow.lib.IntegerArray.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.IntegerArray.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.IntegerArray.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.IntegerArray.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.IntegerArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.IntegerArray.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.IntegerArray.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.IntegerArray.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.IntegerArray.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.IntegerArray.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.IntegerArray.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.IntegerArray.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.ListArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.ListArray.html b/docs/python/generated/pyarrow.lib.ListArray.html
index 6fd26fd..c614cb2 100644
--- a/docs/python/generated/pyarrow.lib.ListArray.html
+++ b/docs/python/generated/pyarrow.lib.ListArray.html
@@ -26,8 +26,7 @@
<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
<link rel="index" title="Index" href="../genindex.html" />
<link rel="search" title="Search" href="../search.html" />
- <link rel="next" title="pyarrow.ChunkedArray" href="pyarrow.ChunkedArray.html" />
- <link rel="prev" title="pyarrow.lib.DecimalArray" href="pyarrow.lib.DecimalArray.html" />
+ <link rel="prev" title="pyarrow.lib.Decimal128Array" href="pyarrow.lib.Decimal128Array.html" />
<meta charset='utf-8'>
<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
@@ -73,6 +72,7 @@
<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>
@@ -98,11 +98,7 @@
<li>
- <a href="pyarrow.lib.DecimalArray.html" title="Previous Chapter: pyarrow.lib.DecimalArray"><span class="glyphicon glyphicon-chevron-left visible-sm"></span><span class="hidden-sm hidden-tablet">« pyarrow.lib.D...</span>
- </a>
- </li>
- <li>
- <a href="pyarrow.ChunkedArray.html" title="Next Chapter: pyarrow.ChunkedArray"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.ChunkedArray »</span>
+ <a href="pyarrow.lib.Decimal128Array.html" title="Previous Chapter: pyarrow.lib.Decimal128Array"><span class="glyphicon glyphicon-chevron-left visible-sm"></span><span class="hidden-sm hidden-tablet">« pyarrow.lib.D...</span>
</a>
</li>
@@ -158,27 +154,33 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.ListArray.cast" title="pyarrow.lib.ListArray.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.ListArray.equals" title="pyarrow.lib.ListArray.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.ListArray.dictionary_encode" title="pyarrow.lib.ListArray.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.ListArray.equals" title="pyarrow.lib.ListArray.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.ListArray.from_arrays" title="pyarrow.lib.ListArray.from_arrays"><code class="xref py py-obj docutils literal"><span class="pre">from_arrays</span></code></a>(Array offsets, Array values, …)</td>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.ListArray.from_arrays" title="pyarrow.lib.ListArray.from_arrays"><code class="xref py py-obj docutils literal"><span class="pre">from_arrays</span></code></a>(offsets, values, …)</td>
<td>Construct ListArray from arrays of int32 offsets and values</td>
</tr>
-<tr class="row-even"><td><a class="reference internal" href="#pyarrow.lib.ListArray.from_pandas" title="pyarrow.lib.ListArray.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.ListArray.from_pandas" title="pyarrow.lib.ListArray.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.ListArray.isnull" title="pyarrow.lib.ListArray.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.ListArray.isnull" title="pyarrow.lib.ListArray.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.ListArray.slice" title="pyarrow.lib.ListArray.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.ListArray.slice" title="pyarrow.lib.ListArray.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.ListArray.to_pandas" title="pyarrow.lib.ListArray.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.ListArray.to_pandas" title="pyarrow.lib.ListArray.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.ListArray.to_pylist" title="pyarrow.lib.ListArray.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.ListArray.to_pylist" title="pyarrow.lib.ListArray.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.ListArray.unique" title="pyarrow.lib.ListArray.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.ListArray.validate" title="pyarrow.lib.ListArray.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>
@@ -206,13 +208,19 @@
</dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.ListArray.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.ListArray.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.ListArray.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.ListArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="staticmethod">
<dt id="pyarrow.lib.ListArray.from_arrays">
-<em class="property">static </em><code class="descname">from_arrays</code><span class="sig-paren">(</span><em>Array offsets</em>, <em>Array values</em>, <em>MemoryPool pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.ListArray.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>offsets</em>, <em>values</em>, <em>MemoryPool pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.lib.ListArray.from_arrays" title="Permalink to this definition">¶</a></dt>
<dd><p>Construct ListArray from arrays of int32 offsets and values</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
@@ -305,13 +313,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.ListArray.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.ListArray.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.ListArray.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>
@@ -333,6 +346,12 @@ offset)</li>
<dd></dd></dl>
<dl class="method">
+<dt id="pyarrow.lib.ListArray.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.ListArray.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.ListArray.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.ListArray.validate" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform any validation checks implemented by
@@ -365,7 +384,7 @@ 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.NullArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.NullArray.html b/docs/python/generated/pyarrow.lib.NullArray.html
index 37cc37b..9279619 100644
--- a/docs/python/generated/pyarrow.lib.NullArray.html
+++ b/docs/python/generated/pyarrow.lib.NullArray.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.NullArray.cast" title="pyarrow.lib.NullArray.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.NullArray.equals" title="pyarrow.lib.NullArray.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.NullArray.dictionary_encode" title="pyarrow.lib.NullArray.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.NullArray.equals" title="pyarrow.lib.NullArray.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.NullArray.from_pandas" title="pyarrow.lib.NullArray.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.NullArray.from_pandas" title="pyarrow.lib.NullArray.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.NullArray.isnull" title="pyarrow.lib.NullArray.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.NullArray.isnull" title="pyarrow.lib.NullArray.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.NullArray.slice" title="pyarrow.lib.NullArray.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.NullArray.slice" title="pyarrow.lib.NullArray.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.NullArray.to_pandas" title="pyarrow.lib.NullArray.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.NullArray.to_pandas" title="pyarrow.lib.NullArray.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.NullArray.to_pylist" title="pyarrow.lib.NullArray.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.NullArray.to_pylist" title="pyarrow.lib.NullArray.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.NullArray.unique" title="pyarrow.lib.NullArray.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.NullArray.validate" title="pyarrow.lib.NullArray.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.NullArray.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.NullArray.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.NullArray.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.NullArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.NullArray.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.NullArray.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.NullArray.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.NullArray.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.NullArray.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.NullArray.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.NullArray.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.NumericArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.NumericArray.html b/docs/python/generated/pyarrow.lib.NumericArray.html
index 5034680..299eaaa 100644
--- a/docs/python/generated/pyarrow.lib.NumericArray.html
+++ b/docs/python/generated/pyarrow.lib.NumericArray.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.NumericArray.cast" title="pyarrow.lib.NumericArray.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.NumericArray.equals" title="pyarrow.lib.NumericArray.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.NumericArray.dictionary_encode" title="pyarrow.lib.NumericArray.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.NumericArray.equals" title="pyarrow.lib.NumericArray.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.NumericArray.from_pandas" title="pyarrow.lib.NumericArray.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.NumericArray.from_pandas" title="pyarrow.lib.NumericArray.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.NumericArray.isnull" title="pyarrow.lib.NumericArray.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.NumericArray.isnull" title="pyarrow.lib.NumericArray.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.NumericArray.slice" title="pyarrow.lib.NumericArray.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.NumericArray.slice" title="pyarrow.lib.NumericArray.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.NumericArray.to_pandas" title="pyarrow.lib.NumericArray.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.NumericArray.to_pandas" title="pyarrow.lib.NumericArray.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.NumericArray.to_pylist" title="pyarrow.lib.NumericArray.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.NumericArray.to_pylist" title="pyarrow.lib.NumericArray.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.NumericArray.unique" title="pyarrow.lib.NumericArray.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.NumericArray.validate" title="pyarrow.lib.NumericArray.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.NumericArray.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.NumericArray.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.NumericArray.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.NumericArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.NumericArray.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.NumericArray.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.NumericArray.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.NumericArray.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.NumericArray.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.NumericArray.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.NumericArray.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.Schema.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Schema.html b/docs/python/generated/pyarrow.lib.Schema.html
index 1da1a0a..3803614 100644
--- a/docs/python/generated/pyarrow.lib.Schema.html
+++ b/docs/python/generated/pyarrow.lib.Schema.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>
@@ -275,7 +276,7 @@
</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.StringArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.StringArray.html b/docs/python/generated/pyarrow.lib.StringArray.html
index eb7531b..f9bd5b5 100644
--- a/docs/python/generated/pyarrow.lib.StringArray.html
+++ b/docs/python/generated/pyarrow.lib.StringArray.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.StringArray.cast" title="pyarrow.lib.StringArray.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.StringArray.equals" title="pyarrow.lib.StringArray.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.StringArray.dictionary_encode" title="pyarrow.lib.StringArray.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.StringArray.equals" title="pyarrow.lib.StringArray.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.StringArray.from_pandas" title="pyarrow.lib.StringArray.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.StringArray.from_pandas" title="pyarrow.lib.StringArray.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.StringArray.isnull" title="pyarrow.lib.StringArray.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.StringArray.isnull" title="pyarrow.lib.StringArray.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.StringArray.slice" title="pyarrow.lib.StringArray.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.StringArray.slice" title="pyarrow.lib.StringArray.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.StringArray.to_pandas" title="pyarrow.lib.StringArray.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.StringArray.to_pandas" title="pyarrow.lib.StringArray.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.StringArray.to_pylist" title="pyarrow.lib.StringArray.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.StringArray.to_pylist" title="pyarrow.lib.StringArray.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.StringArray.unique" title="pyarrow.lib.StringArray.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.StringArray.validate" title="pyarrow.lib.StringArray.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.StringArray.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.StringArray.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.StringArray.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.StringArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.StringArray.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.StringArray.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.StringArray.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.StringArray.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.StringArray.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.StringArray.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.StringArray.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.Time32Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Time32Array.html b/docs/python/generated/pyarrow.lib.Time32Array.html
index 66adb0c..8794ab1 100644
--- a/docs/python/generated/pyarrow.lib.Time32Array.html
+++ b/docs/python/generated/pyarrow.lib.Time32Array.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.Time32Array.cast" title="pyarrow.lib.Time32Array.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.Time32Array.equals" title="pyarrow.lib.Time32Array.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.Time32Array.dictionary_encode" title="pyarrow.lib.Time32Array.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.Time32Array.equals" title="pyarrow.lib.Time32Array.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.Time32Array.from_pandas" title="pyarrow.lib.Time32Array.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.Time32Array.from_pandas" title="pyarrow.lib.Time32Array.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.Time32Array.isnull" title="pyarrow.lib.Time32Array.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.Time32Array.isnull" title="pyarrow.lib.Time32Array.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.Time32Array.slice" title="pyarrow.lib.Time32Array.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.Time32Array.slice" title="pyarrow.lib.Time32Array.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.Time32Array.to_pandas" title="pyarrow.lib.Time32Array.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.Time32Array.to_pandas" title="pyarrow.lib.Time32Array.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.Time32Array.to_pylist" title="pyarrow.lib.Time32Array.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.Time32Array.to_pylist" title="pyarrow.lib.Time32Array.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.Time32Array.unique" title="pyarrow.lib.Time32Array.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.Time32Array.validate" title="pyarrow.lib.Time32Array.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.Time32Array.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.Time32Array.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.Time32Array.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.Time32Array.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.Time32Array.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.Time32Array.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.Time32Array.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.Time32Array.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.Time32Array.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.Time32Array.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.Time32Array.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.Time64Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.Time64Array.html b/docs/python/generated/pyarrow.lib.Time64Array.html
index a21c16a..07f6cce 100644
--- a/docs/python/generated/pyarrow.lib.Time64Array.html
+++ b/docs/python/generated/pyarrow.lib.Time64Array.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.Time64Array.cast" title="pyarrow.lib.Time64Array.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.Time64Array.equals" title="pyarrow.lib.Time64Array.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.Time64Array.dictionary_encode" title="pyarrow.lib.Time64Array.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.Time64Array.equals" title="pyarrow.lib.Time64Array.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.Time64Array.from_pandas" title="pyarrow.lib.Time64Array.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.Time64Array.from_pandas" title="pyarrow.lib.Time64Array.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.Time64Array.isnull" title="pyarrow.lib.Time64Array.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.Time64Array.isnull" title="pyarrow.lib.Time64Array.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.Time64Array.slice" title="pyarrow.lib.Time64Array.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.Time64Array.slice" title="pyarrow.lib.Time64Array.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.Time64Array.to_pandas" title="pyarrow.lib.Time64Array.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.Time64Array.to_pandas" title="pyarrow.lib.Time64Array.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.Time64Array.to_pylist" title="pyarrow.lib.Time64Array.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.Time64Array.to_pylist" title="pyarrow.lib.Time64Array.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.Time64Array.unique" title="pyarrow.lib.Time64Array.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.Time64Array.validate" title="pyarrow.lib.Time64Array.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.Time64Array.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.Time64Array.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.Time64Array.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.Time64Array.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.Time64Array.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.Time64Array.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.Time64Array.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.Time64Array.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.Time64Array.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.Time64Array.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.Time64Array.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.TimestampArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.lib.TimestampArray.html b/docs/python/generated/pyarrow.lib.TimestampArray.html
index f75116d..0d688be 100644
--- a/docs/python/generated/pyarrow.lib.TimestampArray.html
+++ b/docs/python/generated/pyarrow.lib.TimestampArray.html
@@ -26,7 +26,7 @@
<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
<link rel="index" title="Index" href="../genindex.html" />
<link rel="search" title="Search" href="../search.html" />
- <link rel="next" title="pyarrow.lib.DecimalArray" href="pyarrow.lib.DecimalArray.html" />
+ <link rel="next" title="pyarrow.lib.Decimal128Array" href="pyarrow.lib.Decimal128Array.html" />
<link rel="prev" title="pyarrow.lib.Date64Array" href="pyarrow.lib.Date64Array.html" />
<meta charset='utf-8'>
<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
@@ -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>
@@ -102,7 +103,7 @@
</a>
</li>
<li>
- <a href="pyarrow.lib.DecimalArray.html" title="Next Chapter: pyarrow.lib.DecimalArray"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.lib.D... »</span>
+ <a href="pyarrow.lib.Decimal128Array.html" title="Next Chapter: pyarrow.lib.Decimal128Array"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.lib.D... »</span>
</a>
</li>
@@ -158,24 +159,30 @@
<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.lib.TimestampArray.cast" title="pyarrow.lib.TimestampArray.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.TimestampArray.equals" title="pyarrow.lib.TimestampArray.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.TimestampArray.dictionary_encode" title="pyarrow.lib.TimestampArray.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.TimestampArray.equals" title="pyarrow.lib.TimestampArray.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.TimestampArray.from_pandas" title="pyarrow.lib.TimestampArray.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.TimestampArray.from_pandas" title="pyarrow.lib.TimestampArray.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.TimestampArray.isnull" title="pyarrow.lib.TimestampArray.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.TimestampArray.isnull" title="pyarrow.lib.TimestampArray.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.TimestampArray.slice" title="pyarrow.lib.TimestampArray.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.TimestampArray.slice" title="pyarrow.lib.TimestampArray.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.TimestampArray.to_pandas" title="pyarrow.lib.TimestampArray.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.TimestampArray.to_pandas" title="pyarrow.lib.TimestampArray.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.TimestampArray.to_pylist" title="pyarrow.lib.TimestampArray.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.TimestampArray.to_pylist" title="pyarrow.lib.TimestampArray.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.TimestampArray.unique" title="pyarrow.lib.TimestampArray.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.TimestampArray.validate" title="pyarrow.lib.TimestampArray.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.TimestampArray.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.TimestampArray.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.TimestampArray.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.TimestampArray.equals" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
@@ -281,13 +294,18 @@ offset)</li>
<dl class="method">
<dt id="pyarrow.lib.TimestampArray.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.TimestampArray.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.TimestampArray.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.TimestampArray.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.TimestampArray.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.TimestampArray.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.TimestampArray.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>