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From w...@apache.org
Subject [08/15] arrow-site git commit: Update pyarrow Python documentation
Date Mon, 17 Jul 2017 13:06:21 GMT
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.Schema.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Schema.html b/docs/python/generated/pyarrow.Schema.html
index 04fe7fe..f88cb59 100644
--- a/docs/python/generated/pyarrow.Schema.html
+++ b/docs/python/generated/pyarrow.Schema.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -37,7 +38,7 @@
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -143,10 +144,117 @@
 <dl class="class">
 <dt id="pyarrow.Schema">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Schema</code><a class="headerlink" href="#pyarrow.Schema" title="Permalink to this definition">¶</a></dt>
-<dd><dl class="method">
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">object</span></code></p>
+<dl class="method">
 <dt id="pyarrow.Schema.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Schema.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.Schema.add_metadata" title="pyarrow.Schema.add_metadata"><code class="xref py py-obj docutils literal"><span class="pre">add_metadata</span></code></a>(self,&nbsp;dict&nbsp;metadata)</td>
+<td>Add metadata as dict of string keys and values to Schema</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Schema.equals" title="pyarrow.Schema.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self,&nbsp;other)</td>
+<td>Test if this schema is equal to the other</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Schema.field_by_name" title="pyarrow.Schema.field_by_name"><code class="xref py py-obj docutils literal"><span class="pre">field_by_name</span></code></a>(self,&nbsp;name)</td>
+<td>Access a field by its name rather than the column index.</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Schema.get_field_index" title="pyarrow.Schema.get_field_index"><code class="xref py py-obj docutils literal"><span class="pre">get_field_index</span></code></a>(self,&nbsp;name)</td>
+<td></td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Schema.remove_metadata" title="pyarrow.Schema.remove_metadata"><code class="xref py py-obj docutils literal"><span class="pre">remove_metadata</span></code></a>(self)</td>
+<td>Create new schema without metadata, if any</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Attributes</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.Schema.metadata" title="pyarrow.Schema.metadata"><code class="xref py py-obj docutils literal"><span class="pre">metadata</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Schema.names" title="pyarrow.Schema.names"><code class="xref py py-obj docutils literal"><span class="pre">names</span></code></a></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.Schema.add_metadata">
+<code class="descname">add_metadata</code><span class="sig-paren">(</span><em>self</em>, <em>dict metadata</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Schema.add_metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add metadata as dict of string keys and values to Schema</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>metadata</strong> (<em>dict</em>) &#8211; Keys and values must be string-like / coercible to bytes</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>schema</strong> (<em>pyarrow.Schema</em>)</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Schema.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Schema.equals" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test if this schema is equal to the other</p>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Schema.field_by_name">
+<code class="descname">field_by_name</code><span class="sig-paren">(</span><em>self</em>, <em>name</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Schema.field_by_name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Access a field by its name rather than the column index.</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>name</strong> (<em>str</em>) &#8211; </td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>field</strong> (<em>pyarrow.Field</em>)</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Schema.get_field_index">
+<code class="descname">get_field_index</code><span class="sig-paren">(</span><em>self</em>, <em>name</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Schema.get_field_index" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Schema.metadata">
+<code class="descname">metadata</code><a class="headerlink" href="#pyarrow.Schema.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Schema.names">
+<code class="descname">names</code><a class="headerlink" href="#pyarrow.Schema.names" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Schema.remove_metadata">
+<code class="descname">remove_metadata</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Schema.remove_metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create new schema without metadata, if any</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"><strong>schema</strong> (<em>pyarrow.Schema</em>)</td>
+</tr>
+</tbody>
+</table>
 </dd></dl>
 
 </dd></dl>
@@ -166,7 +274,7 @@
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.StringArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.StringArray.html b/docs/python/generated/pyarrow.StringArray.html
index e62e85a..d37db06 100644
--- a/docs/python/generated/pyarrow.StringArray.html
+++ b/docs/python/generated/pyarrow.StringArray.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -37,7 +38,7 @@
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -143,12 +144,169 @@
 <dl class="class">
 <dt id="pyarrow.StringArray">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">StringArray</code><a class="headerlink" href="#pyarrow.StringArray" title="Permalink to this definition">¶</a></dt>
-<dd><dl class="method">
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">pyarrow.lib.Array</span></code></p>
+<dl class="method">
 <dt id="pyarrow.StringArray.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.StringArray.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.StringArray.equals" title="pyarrow.StringArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self,&nbsp;Array&nbsp;other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.StringArray.from_pandas" title="pyarrow.StringArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[,&nbsp;mask,&nbsp;timestamps_to_ms])</td>
+<td>Convert pandas.Series to an Arrow Array.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.StringArray.isnull" title="pyarrow.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-even"><td><a class="reference internal" href="#pyarrow.StringArray.slice" title="pyarrow.StringArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[,&nbsp;offset,&nbsp;length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.StringArray.to_pandas" title="pyarrow.StringArray.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self)</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.StringArray.to_pylist" title="pyarrow.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>
+</tbody>
+</table>
+<p class="rubric">Attributes</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.StringArray.null_count" title="pyarrow.StringArray.null_count"><code class="xref py py-obj docutils literal"><span class="pre">null_count</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.StringArray.type" title="pyarrow.StringArray.type"><code class="xref py py-obj docutils literal"><span class="pre">type</span></code></a></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.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.StringArray.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.StringArray.from_pandas">
+<code class="descname">from_pandas</code><span class="sig-paren">(</span><em>obj</em>, <em>mask=None</em>, <em>DataType type=None</em>, <em>timestamps_to_ms=False</em>, <em>MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.StringArray.from_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert pandas.Series to an Arrow 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 last simple">
+<li><strong>series</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em>) &#8211; </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) &#8211; boolean mask if the object is null (True) or valid (False)</li>
+<li><strong>type</strong> (<a class="reference internal" href="pyarrow.DataType.html#pyarrow.DataType" title="pyarrow.DataType"><em>pyarrow.DataType</em></a>) &#8211; Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) &#8211; Convert datetime columns to ms resolution. This is needed for
+compatibility with other functionality like Parquet I/O which
+only supports milliseconds.</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>optional</em>) &#8211; Specific memory pool to use to allocate the resulting Arrow array.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Notes</p>
+<p>Localized timestamps will currently be returned as UTC (pandas&#8217;s native
+representation).  Timezone-naive data will be implicitly interpreted as
+UTC.</p>
+<p class="rubric">Examples</p>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;pyarrow.array.Int64Array object at 0x7f674e4c0e10&gt;</span>
+<span class="go">[</span>
+<span class="go">  1,</span>
+<span class="go">  2</span>
+<span class="go">]</span>
+</pre></div>
+</div>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
+<span class="gp">... </span><span class="n">dtype</span><span class="o">=</span><span class="nb">bool</span><span class="p">))</span>
+<span class="go">&lt;pyarrow.array.Int64Array object at 0x7f9019e11208&gt;</span>
+<span class="go">[</span>
+<span class="go">  1,</span>
+<span class="go">  NA</span>
+<span class="go">]</span>
+</pre></div>
+</div>
+<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"><em>pyarrow.array.Array</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.StringArray.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.StringArray.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.StringArray.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.StringArray.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.StringArray.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.StringArray.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>) &#8211; Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) &#8211; 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.StringArray.to_pandas">
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.StringArray.to_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert to an array object suitable for use in pandas</p>
+<div class="admonition seealso">
+<p class="first admonition-title">See also</p>
+<p class="last"><a class="reference internal" href="pyarrow.Column.html#pyarrow.Column.to_pandas" title="pyarrow.Column.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">Column.to_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.Table.html#pyarrow.Table.to_pandas" title="pyarrow.Table.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">Table.to_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.RecordBatch.html#pyarrow.RecordBatch.to_pandas" title="pyarrow.RecordBatch.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">RecordBatch.to_pandas()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.StringArray.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.StringArray.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.StringArray.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.StringArray.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
 </dd></dl>
 
 </div>
@@ -166,7 +324,7 @@
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.StringValue.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.StringValue.html b/docs/python/generated/pyarrow.StringValue.html
index 3919273..77cf2a3 100644
--- a/docs/python/generated/pyarrow.StringValue.html
+++ b/docs/python/generated/pyarrow.StringValue.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -37,7 +38,7 @@
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -143,12 +144,30 @@
 <dl class="class">
 <dt id="pyarrow.StringValue">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">StringValue</code><a class="headerlink" href="#pyarrow.StringValue" title="Permalink to this definition">¶</a></dt>
-<dd><dl class="method">
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">pyarrow.lib.ArrayValue</span></code></p>
+<dl class="method">
 <dt id="pyarrow.StringValue.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.StringValue.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.StringValue.as_py" title="pyarrow.StringValue.as_py"><code class="xref py py-obj docutils literal"><span class="pre">as_py</span></code></a>(self)</td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.StringValue.as_py">
+<code class="descname">as_py</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.StringValue.as_py" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
 </dd></dl>
 
 </div>
@@ -166,7 +185,7 @@
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.Table.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Table.html b/docs/python/generated/pyarrow.Table.html
index 5e0879c..9ea9fe8 100644
--- a/docs/python/generated/pyarrow.Table.html
+++ b/docs/python/generated/pyarrow.Table.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -29,7 +30,7 @@
     <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.get_record_batch_size" href="pyarrow.get_record_batch_size.html" />
+    <link rel="next" title="pyarrow.Tensor" href="pyarrow.Tensor.html" />
     <link rel="prev" title="pyarrow.RecordBatch" href="pyarrow.RecordBatch.html" />
 <meta charset='utf-8'>
 <meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
@@ -37,7 +38,7 @@
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -104,7 +105,7 @@
     </a>
   </li>
   <li>
-    <a href="pyarrow.get_record_batch_size.html" title="Next Chapter: pyarrow.get_record_batch_size"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.get_r... &raquo;</span>
+    <a href="pyarrow.Tensor.html" title="Next Chapter: pyarrow.Tensor"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.Tensor &raquo;</span>
     </a>
   </li>
               
@@ -143,16 +144,299 @@
 <dl class="class">
 <dt id="pyarrow.Table">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Table</code><a class="headerlink" href="#pyarrow.Table" title="Permalink to this definition">¶</a></dt>
-<dd><p>A collection of top-level named, equal length Arrow arrays.</p>
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">object</span></code></p>
+<p>A collection of top-level named, equal length Arrow arrays.</p>
 <div class="admonition warning">
 <p class="first admonition-title">Warning</p>
-<p class="last">Do not call this class’s constructor directly, use one of the <code class="docutils literal"><span class="pre">from_*</span></code>
+<p class="last">Do not call this class&#8217;s constructor directly, use one of the <code class="docutils literal"><span class="pre">from_*</span></code>
 methods instead.</p>
 </div>
 <dl class="method">
 <dt id="pyarrow.Table.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.Table.add_column" title="pyarrow.Table.add_column"><code class="xref py py-obj docutils literal"><span class="pre">add_column</span></code></a>(self,&nbsp;int&nbsp;i,&nbsp;Column&nbsp;column)</td>
+<td>Add column to Table at position.</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.append_column" title="pyarrow.Table.append_column"><code class="xref py py-obj docutils literal"><span class="pre">append_column</span></code></a>(self,&nbsp;Column&nbsp;column)</td>
+<td>Append column at end of columns.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Table.column" title="pyarrow.Table.column"><code class="xref py py-obj docutils literal"><span class="pre">column</span></code></a>(self,&nbsp;int64_t&nbsp;i)</td>
+<td>Select a column by its numeric index.</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.equals" title="pyarrow.Table.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self,&nbsp;Table&nbsp;other)</td>
+<td>Check if contents of two tables are equal</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Table.from_arrays" title="pyarrow.Table.from_arrays"><code class="xref py py-obj docutils literal"><span class="pre">from_arrays</span></code></a>(arrays[,&nbsp;names])</td>
+<td>Construct a Table from Arrow arrays or columns</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.from_batches" title="pyarrow.Table.from_batches"><code class="xref py py-obj docutils literal"><span class="pre">from_batches</span></code></a>(batches)</td>
+<td>Construct a Table from a list of Arrow RecordBatches</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Table.from_pandas" title="pyarrow.Table.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(type&nbsp;cls,&nbsp;df,&nbsp;...)</td>
+<td>Convert pandas.DataFrame to an Arrow Table</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.itercolumns" title="pyarrow.Table.itercolumns"><code class="xref py py-obj docutils literal"><span class="pre">itercolumns</span></code></a>(self)</td>
+<td>Iterator over all columns in their numerical order</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Table.remove_column" title="pyarrow.Table.remove_column"><code class="xref py py-obj docutils literal"><span class="pre">remove_column</span></code></a>(self,&nbsp;int&nbsp;i)</td>
+<td>Create new Table with the indicated column removed</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.to_pandas" title="pyarrow.Table.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self[,&nbsp;nthreads])</td>
+<td>Convert the arrow::Table to a pandas DataFrame</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Table.to_pydict" title="pyarrow.Table.to_pydict"><code class="xref py py-obj docutils literal"><span class="pre">to_pydict</span></code></a>(self)</td>
+<td>Converted the arrow::Table to an OrderedDict</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Attributes</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.Table.num_columns" title="pyarrow.Table.num_columns"><code class="xref py py-obj docutils literal"><span class="pre">num_columns</span></code></a></td>
+<td>Number of columns in this table</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.num_rows" title="pyarrow.Table.num_rows"><code class="xref py py-obj docutils literal"><span class="pre">num_rows</span></code></a></td>
+<td>Number of rows in this table.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Table.schema" title="pyarrow.Table.schema"><code class="xref py py-obj docutils literal"><span class="pre">schema</span></code></a></td>
+<td>Schema of the table and its columns</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Table.shape" title="pyarrow.Table.shape"><code class="xref py py-obj docutils literal"><span class="pre">shape</span></code></a></td>
+<td><em>Dimensions of the table</em> &#8211; (#rows, #columns)</td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.Table.add_column">
+<code class="descname">add_column</code><span class="sig-paren">(</span><em>self</em>, <em>int i</em>, <em>Column column</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.add_column" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add column to Table at position. Returns new table</p>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.append_column">
+<code class="descname">append_column</code><span class="sig-paren">(</span><em>self</em>, <em>Column column</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.append_column" title="Permalink to this definition">¶</a></dt>
+<dd><p>Append column at end of columns. Returns new table</p>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.column">
+<code class="descname">column</code><span class="sig-paren">(</span><em>self</em>, <em>int64_t i</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.column" title="Permalink to this definition">¶</a></dt>
+<dd><p>Select a column by its numeric index.</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>i</strong> (<em>int</em>) &#8211; </td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><em>pyarrow.Column</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Table other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.equals" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if contents of two tables are equal</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>other</strong> (<a class="reference internal" href="#pyarrow.Table" title="pyarrow.Table"><em>pyarrow.Table</em></a>) &#8211; </td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>are_equal</strong> (<em>boolean</em>)</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="staticmethod">
+<dt id="pyarrow.Table.from_arrays">
+<em class="property">static </em><code class="descname">from_arrays</code><span class="sig-paren">(</span><em>arrays</em>, <em>names=None</em>, <em>dict metadata=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.from_arrays" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct a Table from Arrow arrays or columns</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>arrays</strong> (<em>list of pyarrow.Array</em><em> or </em><a class="reference internal" href="pyarrow.Column.html#pyarrow.Column" title="pyarrow.Column"><em>pyarrow.Column</em></a>) &#8211; Equal-length arrays that should form the table.</li>
+<li><strong>names</strong> (<em>list of str</em><em>, </em><em>optional</em>) &#8211; Names for the table columns. If Columns passed, will be
+inferred. If Arrays passed, this argument is required</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><em>pyarrow.Table</em></p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="staticmethod">
+<dt id="pyarrow.Table.from_batches">
+<em class="property">static </em><code class="descname">from_batches</code><span class="sig-paren">(</span><em>batches</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.from_batches" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct a Table from a list of Arrow RecordBatches</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>batches</strong> (<em>list of RecordBatch</em>) &#8211; RecordBatch list to be converted, schemas must be equal</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.from_pandas">
+<code class="descname">from_pandas</code><span class="sig-paren">(</span><em>type cls</em>, <em>df</em>, <em>bool timestamps_to_ms=False</em>, <em>Schema schema=None</em>, <em>bool preserve_index=True</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.from_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert pandas.DataFrame to an Arrow Table</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>df</strong> (<em>pandas.DataFrame</em>) &#8211; </li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em>) &#8211; Convert datetime columns to ms resolution. This is needed for
+compability with other functionality like Parquet I/O which
+only supports milliseconds.</li>
+<li><strong>schema</strong> (<a class="reference internal" href="pyarrow.Schema.html#pyarrow.Schema" title="pyarrow.Schema"><em>pyarrow.Schema</em></a><em>, </em><em>optional</em>) &#8211; The expected schema of the Arrow Table. This can be used to
+indicate the type of columns if we cannot infer it automatically.</li>
+<li><strong>preserve_index</strong> (<em>bool</em><em>, </em><em>optional</em>) &#8211; Whether to store the index as an additional column in the resulting
+<code class="docutils literal"><span class="pre">Table</span></code>.</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><em>pyarrow.Table</em></p>
+</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Examples</p>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span>
+<span class="go">    ...     &#39;int&#39;: [1, 2],</span>
+<span class="go">    ...     &#39;str&#39;: [&#39;a&#39;, &#39;b&#39;]</span>
+<span class="go">    ... })</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Table</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+<span class="go">&lt;pyarrow.lib.Table object at 0x7f05d1fb1b40&gt;</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.itercolumns">
+<code class="descname">itercolumns</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.itercolumns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Iterator over all columns in their numerical order</p>
+</dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Table.num_columns">
+<code class="descname">num_columns</code><a class="headerlink" href="#pyarrow.Table.num_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Number of columns in this table</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"><em>int</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Table.num_rows">
+<code class="descname">num_rows</code><a class="headerlink" href="#pyarrow.Table.num_rows" title="Permalink to this definition">¶</a></dt>
+<dd><p>Number of rows in this table.</p>
+<p>Due to the definition of a table, all columns have the same number of rows.</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"><em>int</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.remove_column">
+<code class="descname">remove_column</code><span class="sig-paren">(</span><em>self</em>, <em>int i</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.remove_column" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create new Table with the indicated column removed</p>
+</dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Table.schema">
+<code class="descname">schema</code><a class="headerlink" href="#pyarrow.Table.schema" title="Permalink to this definition">¶</a></dt>
+<dd><p>Schema of the table and its columns</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"><em>pyarrow.Schema</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Table.shape">
+<code class="descname">shape</code><a class="headerlink" href="#pyarrow.Table.shape" title="Permalink to this definition">¶</a></dt>
+<dd><p><em>Dimensions of the table</em> &#8211; (#rows, #columns)</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"><em>(int, int)</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.to_pandas">
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em>, <em>nthreads=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.to_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert the arrow::Table to a pandas DataFrame</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>nthreads</strong> (<em>int</em><em>, </em><em>default max</em><em>(</em><em>1</em><em>, </em><em>multiprocessing.cpu_count</em><em>(</em><em></em><em>) </em><em>/ 2</em><em>)</em><em></em>) &#8211; For the default, we divide the CPU count by 2 because most modern
+computers have hyperthreading turned on, so doubling the CPU count
+beyond the number of physical cores does not help</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><em>pandas.DataFrame</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Table.to_pydict">
+<code class="descname">to_pydict</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Table.to_pydict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Converted the arrow::Table to an OrderedDict</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"><em>OrderedDict</em></td>
+</tr>
+</tbody>
+</table>
 </dd></dl>
 
 </dd></dl>
@@ -172,7 +456,7 @@ methods instead.</p>
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.Tensor.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Tensor.html b/docs/python/generated/pyarrow.Tensor.html
index f5a7ef5..db758fe 100644
--- a/docs/python/generated/pyarrow.Tensor.html
+++ b/docs/python/generated/pyarrow.Tensor.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -29,15 +30,15 @@
     <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.write_tensor" href="pyarrow.write_tensor.html" />
-    <link rel="prev" title="pyarrow.get_record_batch_size" href="pyarrow.get_record_batch_size.html" />
+    <link rel="next" title="pyarrow.Buffer" href="pyarrow.Buffer.html" />
+    <link rel="prev" title="pyarrow.Table" href="pyarrow.Table.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'>
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -100,11 +101,11 @@
               
                 
   <li>
-    <a href="pyarrow.get_record_batch_size.html" title="Previous Chapter: pyarrow.get_record_batch_size"><span class="glyphicon glyphicon-chevron-left visible-sm"></span><span class="hidden-sm hidden-tablet">&laquo; pyarrow.get_r...</span>
+    <a href="pyarrow.Table.html" title="Previous Chapter: pyarrow.Table"><span class="glyphicon glyphicon-chevron-left visible-sm"></span><span class="hidden-sm hidden-tablet">&laquo; pyarrow.Table</span>
     </a>
   </li>
   <li>
-    <a href="pyarrow.write_tensor.html" title="Next Chapter: pyarrow.write_tensor"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.write_tensor &raquo;</span>
+    <a href="pyarrow.Buffer.html" title="Next Chapter: pyarrow.Buffer"><span class="glyphicon glyphicon-chevron-right visible-sm"></span><span class="hidden-sm hidden-tablet">pyarrow.Buffer &raquo;</span>
     </a>
   </li>
               
@@ -143,12 +144,113 @@
 <dl class="class">
 <dt id="pyarrow.Tensor">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Tensor</code><a class="headerlink" href="#pyarrow.Tensor" title="Permalink to this definition">¶</a></dt>
-<dd><dl class="method">
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">object</span></code></p>
+<dl class="method">
 <dt id="pyarrow.Tensor.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Tensor.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.Tensor.equals" title="pyarrow.Tensor.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self,&nbsp;Tensor&nbsp;other)</td>
+<td>Return true if the tensors contains exactly equal data</td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Tensor.from_numpy" title="pyarrow.Tensor.from_numpy"><code class="xref py py-obj docutils literal"><span class="pre">from_numpy</span></code></a>(obj)</td>
+<td></td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Tensor.to_numpy" title="pyarrow.Tensor.to_numpy"><code class="xref py py-obj docutils literal"><span class="pre">to_numpy</span></code></a>(self)</td>
+<td>Convert arrow::Tensor to numpy.ndarray with zero copy</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Attributes</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.Tensor.is_contiguous" title="pyarrow.Tensor.is_contiguous"><code class="xref py py-obj docutils literal"><span class="pre">is_contiguous</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Tensor.is_mutable" title="pyarrow.Tensor.is_mutable"><code class="xref py py-obj docutils literal"><span class="pre">is_mutable</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Tensor.ndim" title="pyarrow.Tensor.ndim"><code class="xref py py-obj docutils literal"><span class="pre">ndim</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Tensor.shape" title="pyarrow.Tensor.shape"><code class="xref py py-obj docutils literal"><span class="pre">shape</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Tensor.size" title="pyarrow.Tensor.size"><code class="xref py py-obj docutils literal"><span class="pre">size</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Tensor.strides" title="pyarrow.Tensor.strides"><code class="xref py py-obj docutils literal"><span class="pre">strides</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Tensor.type" title="pyarrow.Tensor.type"><code class="xref py py-obj docutils literal"><span class="pre">type</span></code></a></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.Tensor.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Tensor other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Tensor.equals" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return true if the tensors contains exactly equal data</p>
 </dd></dl>
 
+<dl class="staticmethod">
+<dt id="pyarrow.Tensor.from_numpy">
+<em class="property">static </em><code class="descname">from_numpy</code><span class="sig-paren">(</span><em>obj</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Tensor.from_numpy" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.is_contiguous">
+<code class="descname">is_contiguous</code><a class="headerlink" href="#pyarrow.Tensor.is_contiguous" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.is_mutable">
+<code class="descname">is_mutable</code><a class="headerlink" href="#pyarrow.Tensor.is_mutable" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.ndim">
+<code class="descname">ndim</code><a class="headerlink" href="#pyarrow.Tensor.ndim" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.shape">
+<code class="descname">shape</code><a class="headerlink" href="#pyarrow.Tensor.shape" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.size">
+<code class="descname">size</code><a class="headerlink" href="#pyarrow.Tensor.size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.strides">
+<code class="descname">strides</code><a class="headerlink" href="#pyarrow.Tensor.strides" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Tensor.to_numpy">
+<code class="descname">to_numpy</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Tensor.to_numpy" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert arrow::Tensor to numpy.ndarray with zero copy</p>
+</dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Tensor.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.Tensor.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
 </dd></dl>
 
 </div>
@@ -166,7 +268,7 @@
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.Time32Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Time32Array.html b/docs/python/generated/pyarrow.Time32Array.html
index f18b5b8..8be3fc5 100644
--- a/docs/python/generated/pyarrow.Time32Array.html
+++ b/docs/python/generated/pyarrow.Time32Array.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -37,7 +38,7 @@
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -143,12 +144,169 @@
 <dl class="class">
 <dt id="pyarrow.Time32Array">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Time32Array</code><a class="headerlink" href="#pyarrow.Time32Array" title="Permalink to this definition">¶</a></dt>
-<dd><dl class="method">
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">pyarrow.lib.NumericArray</span></code></p>
+<dl class="method">
 <dt id="pyarrow.Time32Array.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time32Array.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.Time32Array.equals" title="pyarrow.Time32Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self,&nbsp;Array&nbsp;other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Time32Array.from_pandas" title="pyarrow.Time32Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[,&nbsp;mask,&nbsp;timestamps_to_ms])</td>
+<td>Convert pandas.Series to an Arrow Array.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Time32Array.isnull" title="pyarrow.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-even"><td><a class="reference internal" href="#pyarrow.Time32Array.slice" title="pyarrow.Time32Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[,&nbsp;offset,&nbsp;length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Time32Array.to_pandas" title="pyarrow.Time32Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self)</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.Time32Array.to_pylist" title="pyarrow.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>
+</tbody>
+</table>
+<p class="rubric">Attributes</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.Time32Array.null_count" title="pyarrow.Time32Array.null_count"><code class="xref py py-obj docutils literal"><span class="pre">null_count</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Time32Array.type" title="pyarrow.Time32Array.type"><code class="xref py py-obj docutils literal"><span class="pre">type</span></code></a></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.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.Time32Array.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time32Array.from_pandas">
+<code class="descname">from_pandas</code><span class="sig-paren">(</span><em>obj</em>, <em>mask=None</em>, <em>DataType type=None</em>, <em>timestamps_to_ms=False</em>, <em>MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time32Array.from_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert pandas.Series to an Arrow 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 last simple">
+<li><strong>series</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em>) &#8211; </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) &#8211; boolean mask if the object is null (True) or valid (False)</li>
+<li><strong>type</strong> (<a class="reference internal" href="pyarrow.DataType.html#pyarrow.DataType" title="pyarrow.DataType"><em>pyarrow.DataType</em></a>) &#8211; Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) &#8211; Convert datetime columns to ms resolution. This is needed for
+compatibility with other functionality like Parquet I/O which
+only supports milliseconds.</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>optional</em>) &#8211; Specific memory pool to use to allocate the resulting Arrow array.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Notes</p>
+<p>Localized timestamps will currently be returned as UTC (pandas&#8217;s native
+representation).  Timezone-naive data will be implicitly interpreted as
+UTC.</p>
+<p class="rubric">Examples</p>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;pyarrow.array.Int64Array object at 0x7f674e4c0e10&gt;</span>
+<span class="go">[</span>
+<span class="go">  1,</span>
+<span class="go">  2</span>
+<span class="go">]</span>
+</pre></div>
+</div>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
+<span class="gp">... </span><span class="n">dtype</span><span class="o">=</span><span class="nb">bool</span><span class="p">))</span>
+<span class="go">&lt;pyarrow.array.Int64Array object at 0x7f9019e11208&gt;</span>
+<span class="go">[</span>
+<span class="go">  1,</span>
+<span class="go">  NA</span>
+<span class="go">]</span>
+</pre></div>
+</div>
+<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"><em>pyarrow.array.Array</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time32Array.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time32Array.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Time32Array.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.Time32Array.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time32Array.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.Time32Array.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>) &#8211; Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) &#8211; 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.Time32Array.to_pandas">
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time32Array.to_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert to an array object suitable for use in pandas</p>
+<div class="admonition seealso">
+<p class="first admonition-title">See also</p>
+<p class="last"><a class="reference internal" href="pyarrow.Column.html#pyarrow.Column.to_pandas" title="pyarrow.Column.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">Column.to_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.Table.html#pyarrow.Table.to_pandas" title="pyarrow.Table.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">Table.to_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.RecordBatch.html#pyarrow.RecordBatch.to_pandas" title="pyarrow.RecordBatch.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">RecordBatch.to_pandas()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time32Array.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.Time32Array.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.Time32Array.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.Time32Array.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
 </dd></dl>
 
 </div>
@@ -166,7 +324,7 @@
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.Time64Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Time64Array.html b/docs/python/generated/pyarrow.Time64Array.html
index ed0bcc2..c85cd45 100644
--- a/docs/python/generated/pyarrow.Time64Array.html
+++ b/docs/python/generated/pyarrow.Time64Array.html
@@ -1,5 +1,6 @@
 <!DOCTYPE html>
 
+
 <html xmlns="http://www.w3.org/1999/xhtml">
   <head>
     <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
@@ -37,7 +38,7 @@
 <meta name="apple-mobile-web-app-capable" content="yes">
 
   </head>
-  <body>
+  <body role="document">
 
   <div id="navbar" class="navbar navbar-default navbar-fixed-top">
     <div class="container">
@@ -143,12 +144,169 @@
 <dl class="class">
 <dt id="pyarrow.Time64Array">
 <em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Time64Array</code><a class="headerlink" href="#pyarrow.Time64Array" title="Permalink to this definition">¶</a></dt>
-<dd><dl class="method">
+<dd><p>Bases: <code class="xref py py-class docutils literal"><span class="pre">pyarrow.lib.NumericArray</span></code></p>
+<dl class="method">
 <dt id="pyarrow.Time64Array.__init__">
 <code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time64Array.__init__" title="Permalink to this definition">¶</a></dt>
-<dd><p>x.__init__(…) initializes x; see help(type(x)) for signature</p>
+<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.Time64Array.equals" title="pyarrow.Time64Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self,&nbsp;Array&nbsp;other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Time64Array.from_pandas" title="pyarrow.Time64Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[,&nbsp;mask,&nbsp;timestamps_to_ms])</td>
+<td>Convert pandas.Series to an Arrow Array.</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Time64Array.isnull" title="pyarrow.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-even"><td><a class="reference internal" href="#pyarrow.Time64Array.slice" title="pyarrow.Time64Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[,&nbsp;offset,&nbsp;length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Time64Array.to_pandas" title="pyarrow.Time64Array.to_pandas"><code class="xref py py-obj docutils literal"><span class="pre">to_pandas</span></code></a>(self)</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.Time64Array.to_pylist" title="pyarrow.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>
+</tbody>
+</table>
+<p class="rubric">Attributes</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.Time64Array.null_count" title="pyarrow.Time64Array.null_count"><code class="xref py py-obj docutils literal"><span class="pre">null_count</span></code></a></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Time64Array.type" title="pyarrow.Time64Array.type"><code class="xref py py-obj docutils literal"><span class="pre">type</span></code></a></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.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.Time64Array.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time64Array.from_pandas">
+<code class="descname">from_pandas</code><span class="sig-paren">(</span><em>obj</em>, <em>mask=None</em>, <em>DataType type=None</em>, <em>timestamps_to_ms=False</em>, <em>MemoryPool memory_pool=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time64Array.from_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert pandas.Series to an Arrow 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 last simple">
+<li><strong>series</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em>) &#8211; </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) &#8211; boolean mask if the object is null (True) or valid (False)</li>
+<li><strong>type</strong> (<a class="reference internal" href="pyarrow.DataType.html#pyarrow.DataType" title="pyarrow.DataType"><em>pyarrow.DataType</em></a>) &#8211; Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) &#8211; Convert datetime columns to ms resolution. This is needed for
+compatibility with other functionality like Parquet I/O which
+only supports milliseconds.</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>optional</em>) &#8211; Specific memory pool to use to allocate the resulting Arrow array.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Notes</p>
+<p>Localized timestamps will currently be returned as UTC (pandas&#8217;s native
+representation).  Timezone-naive data will be implicitly interpreted as
+UTC.</p>
+<p class="rubric">Examples</p>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;pyarrow.array.Int64Array object at 0x7f674e4c0e10&gt;</span>
+<span class="go">[</span>
+<span class="go">  1,</span>
+<span class="go">  2</span>
+<span class="go">]</span>
+</pre></div>
+</div>
+<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
+<span class="gp">... </span><span class="n">dtype</span><span class="o">=</span><span class="nb">bool</span><span class="p">))</span>
+<span class="go">&lt;pyarrow.array.Int64Array object at 0x7f9019e11208&gt;</span>
+<span class="go">[</span>
+<span class="go">  1,</span>
+<span class="go">  NA</span>
+<span class="go">]</span>
+</pre></div>
+</div>
+<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"><em>pyarrow.array.Array</em></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time64Array.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time64Array.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Time64Array.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.Time64Array.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time64Array.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.Time64Array.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>) &#8211; Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) &#8211; 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.Time64Array.to_pandas">
+<code class="descname">to_pandas</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Time64Array.to_pandas" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert to an array object suitable for use in pandas</p>
+<div class="admonition seealso">
+<p class="first admonition-title">See also</p>
+<p class="last"><a class="reference internal" href="pyarrow.Column.html#pyarrow.Column.to_pandas" title="pyarrow.Column.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">Column.to_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.Table.html#pyarrow.Table.to_pandas" title="pyarrow.Table.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">Table.to_pandas()</span></code></a>, <a class="reference internal" href="pyarrow.RecordBatch.html#pyarrow.RecordBatch.to_pandas" title="pyarrow.RecordBatch.to_pandas"><code class="xref py py-meth docutils literal"><span class="pre">RecordBatch.to_pandas()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Time64Array.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.Time64Array.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.Time64Array.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.Time64Array.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
 </dd></dl>
 
 </div>
@@ -166,7 +324,7 @@
     </p>
     <p>
         &copy; Copyright 2016-2017 Apache Software Foundation.<br/>
-      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.<br/>
     </p>
   </div>
 </footer>


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