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Posted to commits@arrow.apache.org by we...@apache.org on 2017/07/17 13:06:24 UTC
[11/15] arrow-site git commit: Update pyarrow Python documentation
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/796ce23f/docs/python/generated/pyarrow.FixedSizeBinaryArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.FixedSizeBinaryArray.html b/docs/python/generated/pyarrow.FixedSizeBinaryArray.html
index 62a8936..6cd0490 100644
--- a/docs/python/generated/pyarrow.FixedSizeBinaryArray.html
+++ b/docs/python/generated/pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">FixedSizeBinaryArray</code><a class="headerlink" href="#pyarrow.FixedSizeBinaryArray" 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.FixedSizeBinaryArray.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FixedSizeBinaryArray.__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.FixedSizeBinaryArray.equals" title="pyarrow.FixedSizeBinaryArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.FixedSizeBinaryArray.from_pandas" title="pyarrow.FixedSizeBinaryArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, 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.FixedSizeBinaryArray.isnull" title="pyarrow.FixedSizeBinaryArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.FixedSizeBinaryArray.slice" title="pyarrow.FixedSizeBinaryArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.FixedSizeBinaryArray.to_pandas" title="pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray.to_pylist" title="pyarrow.FixedSizeBinaryArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<td>Convert to an list of native Python objects.</td>
+</tr>
+</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.FixedSizeBinaryArray.null_count" title="pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray.type" title="pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FixedSizeBinaryArray.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray.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>) – </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) – 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>) – Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) – 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>) – 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’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">>>> </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f674e4c0e10></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">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f9019e11208></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.FixedSizeBinaryArray.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FixedSizeBinaryArray.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.FixedSizeBinaryArray.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.FixedSizeBinaryArray.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray.slice" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute zero-copy slice of this array</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from
+offset)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>sliced</strong> (<em>RecordBatch</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
</dd></dl>
+<dl class="method">
+<dt id="pyarrow.FixedSizeBinaryArray.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.FixedSizeBinaryArray.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.FixedSizeBinaryArray.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.FixedSizeBinaryArray.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.FixedSizeBinaryArray.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.FixedSizeBinaryArray.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +324,7 @@
</p>
<p>
© 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.FixedSizeBinaryValue.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.FixedSizeBinaryValue.html b/docs/python/generated/pyarrow.FixedSizeBinaryValue.html
index facab6a..222b647 100644
--- a/docs/python/generated/pyarrow.FixedSizeBinaryValue.html
+++ b/docs/python/generated/pyarrow.FixedSizeBinaryValue.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.FixedSizeBinaryValue">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">FixedSizeBinaryValue</code><a class="headerlink" href="#pyarrow.FixedSizeBinaryValue" 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.FixedSizeBinaryValue.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FixedSizeBinaryValue.__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.FixedSizeBinaryValue.as_py" title="pyarrow.FixedSizeBinaryValue.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.FixedSizeBinaryValue.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.FixedSizeBinaryValue.as_py" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +185,7 @@
</p>
<p>
© 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.FloatValue.html
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diff --git a/docs/python/generated/pyarrow.FloatValue.html b/docs/python/generated/pyarrow.FloatValue.html
index ecf1b05..f227ce8 100644
--- a/docs/python/generated/pyarrow.FloatValue.html
+++ b/docs/python/generated/pyarrow.FloatValue.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.FloatValue">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">FloatValue</code><a class="headerlink" href="#pyarrow.FloatValue" 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.FloatValue.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FloatValue.__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.FloatValue.as_py" title="pyarrow.FloatValue.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.FloatValue.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.FloatValue.as_py" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +185,7 @@
</p>
<p>
© 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.FloatingPointArray.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.FloatingPointArray.html b/docs/python/generated/pyarrow.FloatingPointArray.html
index 808cd13..42215dd 100644
--- a/docs/python/generated/pyarrow.FloatingPointArray.html
+++ b/docs/python/generated/pyarrow.FloatingPointArray.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.FloatingPointArray">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">FloatingPointArray</code><a class="headerlink" href="#pyarrow.FloatingPointArray" 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.FloatingPointArray.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FloatingPointArray.__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.FloatingPointArray.equals" title="pyarrow.FloatingPointArray.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.FloatingPointArray.from_pandas" title="pyarrow.FloatingPointArray.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, 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.FloatingPointArray.isnull" title="pyarrow.FloatingPointArray.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.FloatingPointArray.slice" title="pyarrow.FloatingPointArray.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.FloatingPointArray.to_pandas" title="pyarrow.FloatingPointArray.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.FloatingPointArray.to_pylist" title="pyarrow.FloatingPointArray.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<td>Convert to an list of native Python objects.</td>
+</tr>
+</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.FloatingPointArray.null_count" title="pyarrow.FloatingPointArray.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.FloatingPointArray.type" title="pyarrow.FloatingPointArray.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.FloatingPointArray.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FloatingPointArray.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.FloatingPointArray.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.FloatingPointArray.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>) – </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) – 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>) – Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) – 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>) – 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’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">>>> </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f674e4c0e10></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">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f9019e11208></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.FloatingPointArray.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.FloatingPointArray.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.FloatingPointArray.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.FloatingPointArray.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.FloatingPointArray.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.FloatingPointArray.slice" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute zero-copy slice of this array</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from
+offset)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>sliced</strong> (<em>RecordBatch</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
</dd></dl>
+<dl class="method">
+<dt id="pyarrow.FloatingPointArray.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.FloatingPointArray.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.FloatingPointArray.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.FloatingPointArray.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.FloatingPointArray.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.FloatingPointArray.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +324,7 @@
</p>
<p>
© 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.Int16Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Int16Array.html b/docs/python/generated/pyarrow.Int16Array.html
index 63a22f7..1165029 100644
--- a/docs/python/generated/pyarrow.Int16Array.html
+++ b/docs/python/generated/pyarrow.Int16Array.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.Int16Array">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Int16Array</code><a class="headerlink" href="#pyarrow.Int16Array" 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.IntegerArray</span></code></p>
+<dl class="method">
<dt id="pyarrow.Int16Array.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int16Array.__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.Int16Array.equals" title="pyarrow.Int16Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Int16Array.from_pandas" title="pyarrow.Int16Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, 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.Int16Array.isnull" title="pyarrow.Int16Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Int16Array.slice" title="pyarrow.Int16Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Int16Array.to_pandas" title="pyarrow.Int16Array.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.Int16Array.to_pylist" title="pyarrow.Int16Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<td>Convert to an list of native Python objects.</td>
+</tr>
+</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.Int16Array.null_count" title="pyarrow.Int16Array.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.Int16Array.type" title="pyarrow.Int16Array.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.Int16Array.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int16Array.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Int16Array.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.Int16Array.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>) – </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) – 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>) – Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) – 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>) – 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’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">>>> </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f674e4c0e10></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">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f9019e11208></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.Int16Array.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int16Array.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Int16Array.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.Int16Array.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Int16Array.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.Int16Array.slice" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute zero-copy slice of this array</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from
+offset)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>sliced</strong> (<em>RecordBatch</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
</dd></dl>
+<dl class="method">
+<dt id="pyarrow.Int16Array.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.Int16Array.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.Int16Array.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.Int16Array.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.Int16Array.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.Int16Array.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +324,7 @@
</p>
<p>
© 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.Int16Value.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Int16Value.html b/docs/python/generated/pyarrow.Int16Value.html
index b762527..2b62e1e 100644
--- a/docs/python/generated/pyarrow.Int16Value.html
+++ b/docs/python/generated/pyarrow.Int16Value.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.Int16Value">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Int16Value</code><a class="headerlink" href="#pyarrow.Int16Value" 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.Int16Value.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int16Value.__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.Int16Value.as_py" title="pyarrow.Int16Value.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.Int16Value.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.Int16Value.as_py" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +185,7 @@
</p>
<p>
© 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.Int32Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Int32Array.html b/docs/python/generated/pyarrow.Int32Array.html
index 1f7cfe4..f175552 100644
--- a/docs/python/generated/pyarrow.Int32Array.html
+++ b/docs/python/generated/pyarrow.Int32Array.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.Int32Array">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Int32Array</code><a class="headerlink" href="#pyarrow.Int32Array" 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.IntegerArray</span></code></p>
+<dl class="method">
<dt id="pyarrow.Int32Array.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int32Array.__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.Int32Array.equals" title="pyarrow.Int32Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Int32Array.from_pandas" title="pyarrow.Int32Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, 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.Int32Array.isnull" title="pyarrow.Int32Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Int32Array.slice" title="pyarrow.Int32Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Int32Array.to_pandas" title="pyarrow.Int32Array.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.Int32Array.to_pylist" title="pyarrow.Int32Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<td>Convert to an list of native Python objects.</td>
+</tr>
+</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.Int32Array.null_count" title="pyarrow.Int32Array.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.Int32Array.type" title="pyarrow.Int32Array.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.Int32Array.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int32Array.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Int32Array.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.Int32Array.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>) – </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) – 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>) – Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) – 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>) – 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’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">>>> </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f674e4c0e10></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">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f9019e11208></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.Int32Array.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int32Array.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Int32Array.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.Int32Array.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Int32Array.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.Int32Array.slice" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute zero-copy slice of this array</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from
+offset)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>sliced</strong> (<em>RecordBatch</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
</dd></dl>
+<dl class="method">
+<dt id="pyarrow.Int32Array.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.Int32Array.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.Int32Array.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.Int32Array.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.Int32Array.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.Int32Array.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +324,7 @@
</p>
<p>
© 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.Int32Value.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Int32Value.html b/docs/python/generated/pyarrow.Int32Value.html
index b033315..a79fde0 100644
--- a/docs/python/generated/pyarrow.Int32Value.html
+++ b/docs/python/generated/pyarrow.Int32Value.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.Int32Value">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Int32Value</code><a class="headerlink" href="#pyarrow.Int32Value" 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.Int32Value.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int32Value.__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.Int32Value.as_py" title="pyarrow.Int32Value.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.Int32Value.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.Int32Value.as_py" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +185,7 @@
</p>
<p>
© 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.Int64Array.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Int64Array.html b/docs/python/generated/pyarrow.Int64Array.html
index 06d824b..1c89d63 100644
--- a/docs/python/generated/pyarrow.Int64Array.html
+++ b/docs/python/generated/pyarrow.Int64Array.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.Int64Array">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Int64Array</code><a class="headerlink" href="#pyarrow.Int64Array" 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.IntegerArray</span></code></p>
+<dl class="method">
<dt id="pyarrow.Int64Array.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int64Array.__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.Int64Array.equals" title="pyarrow.Int64Array.equals"><code class="xref py py-obj docutils literal"><span class="pre">equals</span></code></a>(self, Array other)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Int64Array.from_pandas" title="pyarrow.Int64Array.from_pandas"><code class="xref py py-obj docutils literal"><span class="pre">from_pandas</span></code></a>(obj[, mask, 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.Int64Array.isnull" title="pyarrow.Int64Array.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>(self)</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><a class="reference internal" href="#pyarrow.Int64Array.slice" title="pyarrow.Int64Array.slice"><code class="xref py py-obj docutils literal"><span class="pre">slice</span></code></a>(self[, offset, length])</td>
+<td>Compute zero-copy slice of this array</td>
+</tr>
+<tr class="row-odd"><td><a class="reference internal" href="#pyarrow.Int64Array.to_pandas" title="pyarrow.Int64Array.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.Int64Array.to_pylist" title="pyarrow.Int64Array.to_pylist"><code class="xref py py-obj docutils literal"><span class="pre">to_pylist</span></code></a>(self)</td>
+<td>Convert to an list of native Python objects.</td>
+</tr>
+</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.Int64Array.null_count" title="pyarrow.Int64Array.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.Int64Array.type" title="pyarrow.Int64Array.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.Int64Array.equals">
+<code class="descname">equals</code><span class="sig-paren">(</span><em>self</em>, <em>Array other</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int64Array.equals" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Int64Array.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.Int64Array.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>) – </li>
+<li><strong>mask</strong> (<em>pandas.Series</em><em> or </em><em>numpy.ndarray</em><em>, </em><em>optional</em>) – 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>) – Explicit type to attempt to coerce to</li>
+<li><strong>timestamps_to_ms</strong> (<em>bool</em><em>, </em><em>optional</em>) – 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>) – 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’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">>>> </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f674e4c0e10></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">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="gp">>>> </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"><pyarrow.array.Int64Array object at 0x7f9019e11208></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.Int64Array.isnull">
+<code class="descname">isnull</code><span class="sig-paren">(</span><em>self</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int64Array.isnull" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="attribute">
+<dt id="pyarrow.Int64Array.null_count">
+<code class="descname">null_count</code><a class="headerlink" href="#pyarrow.Int64Array.null_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="method">
+<dt id="pyarrow.Int64Array.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.Int64Array.slice" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute zero-copy slice of this array</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>offset</strong> (<em>int</em><em>, </em><em>default 0</em>) – Offset from start of array to slice</li>
+<li><strong>length</strong> (<em>int</em><em>, </em><em>default None</em>) – Length of slice (default is until end of Array starting from
+offset)</li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>sliced</strong> (<em>RecordBatch</em>)</p>
+</td>
+</tr>
+</tbody>
+</table>
</dd></dl>
+<dl class="method">
+<dt id="pyarrow.Int64Array.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.Int64Array.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.Int64Array.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.Int64Array.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.Int64Array.type">
+<code class="descname">type</code><a class="headerlink" href="#pyarrow.Int64Array.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +324,7 @@
</p>
<p>
© 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.Int64Value.html
----------------------------------------------------------------------
diff --git a/docs/python/generated/pyarrow.Int64Value.html b/docs/python/generated/pyarrow.Int64Value.html
index fae2ebc..07b5f5f 100644
--- a/docs/python/generated/pyarrow.Int64Value.html
+++ b/docs/python/generated/pyarrow.Int64Value.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.Int64Value">
<em class="property">class </em><code class="descclassname">pyarrow.</code><code class="descname">Int64Value</code><a class="headerlink" href="#pyarrow.Int64Value" 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.Int64Value.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.Int64Value.__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.Int64Value.as_py" title="pyarrow.Int64Value.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.Int64Value.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.Int64Value.as_py" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
</dd></dl>
</div>
@@ -166,7 +185,7 @@
</p>
<p>
© 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>