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Posted to commits@arrow.apache.org by we...@apache.org on 2017/04/23 22:21:45 UTC
[05/30] arrow-site git commit: Add Python documentation snapshot
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http://git-wip-us.apache.org/repos/asf/arrow-site/blob/679f060e/docs/python/generated/pyarrow.memory_map.html
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+<h1>pyarrow.memory_map<a class="headerlink" href="#pyarrow-memory-map" title="Permalink to this headline">�</a></h1>
+<dl class="function">
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+<code class="descclassname">pyarrow.</code><code class="descname">memory_map</code><span class="sig-paren">(</span><em>path</em>, <em>mode='r'</em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.memory_map" title="Permalink to this definition">�</a></dt>
+<dd><p>Open memory map at file path. Size of the memory map cannot change</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>path</strong> (<a class="reference internal" href="pyarrow.string.html#pyarrow.string" title="pyarrow.string"><em>string</em></a>) – </li>
+<li><strong>mode</strong> (<em>{'r'</em><em>, </em><em>'w'}</em><em>, </em><em>default 'r'</em>) – </li>
+</ul>
+</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>mmap</strong> (<em>MemoryMappedFile</em>)</p>
+</td>
+</tr>
+</tbody>
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+ <div class="section" id="pyarrow-parquet-parquetdataset">
+<h1>pyarrow.parquet.ParquetDataset<a class="headerlink" href="#pyarrow-parquet-parquetdataset" title="Permalink to this headline">�</a></h1>
+<dl class="class">
+<dt id="pyarrow.parquet.ParquetDataset">
+<em class="property">class </em><code class="descclassname">pyarrow.parquet.</code><code class="descname">ParquetDataset</code><span class="sig-paren">(</span><em>path_or_paths</em>, <em>filesystem=None</em>, <em>schema=None</em>, <em>metadata=None</em>, <em>split_row_groups=False</em>, <em>validate_schema=True</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#ParquetDataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.ParquetDataset" title="Permalink to this definition">�</a></dt>
+<dd><p>Encapsulates details of reading a complete Parquet dataset possibly
+consisting of multiple files and partitions in subdirectories</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>path_or_paths</strong> (<em>str</em><em> or </em><em>List</em><em>[</em><em>str</em><em>]</em><em></em>) – A directory name, single file name, or list of file names</li>
+<li><strong>filesystem</strong> (<em>Filesystem</em><em>, </em><em>default None</em>) – If nothing passed, paths assumed to be found in the local on-disk
+filesystem</li>
+<li><strong>metadata</strong> (<em>pyarrow.parquet.FileMetaData</em>) – Use metadata obtained elsewhere to validate file schemas</li>
+<li><strong>schema</strong> (<em>pyarrow.parquet.Schema</em>) – Use schema obtained elsewhere to validate file schemas. Alternative to
+metadata parameter</li>
+<li><strong>split_row_groups</strong> (<em>boolean</em><em>, </em><em>default False</em>) – Divide files into pieces for each row group in the file</li>
+<li><strong>validate_schema</strong> (<em>boolean</em><em>, </em><em>default True</em>) – Check that individual file schemas are all the same / compatible</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.parquet.ParquetDataset.__init__">
+<code class="descname">__init__</code><span class="sig-paren">(</span><em>path_or_paths</em>, <em>filesystem=None</em>, <em>schema=None</em>, <em>metadata=None</em>, <em>split_row_groups=False</em>, <em>validate_schema=True</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#ParquetDataset.__init__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.ParquetDataset.__init__" title="Permalink to this definition">�</a></dt>
+<dd></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.parquet.ParquetDataset.__init__" title="pyarrow.parquet.ParquetDataset.__init__"><code class="xref py py-obj docutils literal"><span class="pre">__init__</span></code></a>(path_or_paths[, filesystem, ...])</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><code class="xref py py-obj docutils literal"><span class="pre">read</span></code>([columns, nthreads])</td>
+<td>Read multiple Parquet files as a single pyarrow.Table</td>
+</tr>
+<tr class="row-odd"><td><code class="xref py py-obj docutils literal"><span class="pre">validate_schemas</span></code>()</td>
+<td></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
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+</div>
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+<li class="toctree-l2 current"><a class="reference internal" href="../api.html#apache-parquet">Apache Parquet</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="pyarrow.parquet.ParquetDataset.html">pyarrow.parquet.ParquetDataset</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">pyarrow.parquet.ParquetFile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="pyarrow.parquet.read_table.html">pyarrow.parquet.read_table</a></li>
+<li class="toctree-l3"><a class="reference internal" href="pyarrow.parquet.write_metadata.html">pyarrow.parquet.write_metadata</a></li>
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+ <div class="section" id="pyarrow-parquet-parquetfile">
+<h1>pyarrow.parquet.ParquetFile<a class="headerlink" href="#pyarrow-parquet-parquetfile" title="Permalink to this headline">�</a></h1>
+<dl class="class">
+<dt id="pyarrow.parquet.ParquetFile">
+<em class="property">class </em><code class="descclassname">pyarrow.parquet.</code><code class="descname">ParquetFile</code><span class="sig-paren">(</span><em>source</em>, <em>metadata=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#ParquetFile"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.ParquetFile" title="Permalink to this definition">�</a></dt>
+<dd><p>Reader interface for a single Parquet file</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>source</strong> (<em>str</em><em> or </em><em>pyarrow.io.NativeFile</em>) – Readable source. For passing Python file objects or byte buffers,
+see pyarrow.io.PythonFileInterface or pyarrow.io.BufferReader.</li>
+<li><strong>metadata</strong> (<em>ParquetFileMetadata</em><em>, </em><em>default None</em>) – Use existing metadata object, rather than reading from file.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+<dl class="method">
+<dt id="pyarrow.parquet.ParquetFile.__init__">
+<code class="descname">__init__</code><span class="sig-paren">(</span><em>source</em>, <em>metadata=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#ParquetFile.__init__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.ParquetFile.__init__" title="Permalink to this definition">�</a></dt>
+<dd></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.parquet.ParquetFile.__init__" title="pyarrow.parquet.ParquetFile.__init__"><code class="xref py py-obj docutils literal"><span class="pre">__init__</span></code></a>(source[, metadata])</td>
+<td></td>
+</tr>
+<tr class="row-even"><td><code class="xref py py-obj docutils literal"><span class="pre">read</span></code>([columns, nthreads])</td>
+<td>Read a Table from Parquet format</td>
+</tr>
+<tr class="row-odd"><td><code class="xref py py-obj docutils literal"><span class="pre">read_row_group</span></code>(i[, columns, nthreads])</td>
+<td>Read a single row group from a Parquet file</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><code class="xref py py-obj docutils literal"><span class="pre">metadata</span></code></td>
+<td></td>
+</tr>
+<tr class="row-even"><td><code class="xref py py-obj docutils literal"><span class="pre">num_row_groups</span></code></td>
+<td></td>
+</tr>
+<tr class="row-odd"><td><code class="xref py py-obj docutils literal"><span class="pre">schema</span></code></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
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+<li class="toctree-l3"><a class="reference internal" href="pyarrow.parquet.ParquetFile.html">pyarrow.parquet.ParquetFile</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">pyarrow.parquet.read_table</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="pyarrow.parquet.write_table.html">pyarrow.parquet.write_table</a></li>
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+<p class="caption"><span class="caption-text">Additional Features</span></p>
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+ <div class="section" id="pyarrow-parquet-read-table">
+<h1>pyarrow.parquet.read_table<a class="headerlink" href="#pyarrow-parquet-read-table" title="Permalink to this headline">�</a></h1>
+<dl class="function">
+<dt id="pyarrow.parquet.read_table">
+<code class="descclassname">pyarrow.parquet.</code><code class="descname">read_table</code><span class="sig-paren">(</span><em>source</em>, <em>columns=None</em>, <em>nthreads=1</em>, <em>metadata=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#read_table"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.read_table" title="Permalink to this definition">�</a></dt>
+<dd><p>Read a Table from Parquet format</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>source</strong> (<em>str</em><em> or </em><em>pyarrow.io.NativeFile</em>) – Location of Parquet dataset. If a string passed, can be a single file
+name or directory name. For passing Python file objects or byte
+buffers, see pyarrow.io.PythonFileInterface or pyarrow.io.BufferReader.</li>
+<li><strong>columns</strong> (<em>list</em>) – If not None, only these columns will be read from the file.</li>
+<li><strong>nthreads</strong> (<em>int</em><em>, </em><em>default 1</em>) – Number of columns to read in parallel. Requires that the underlying
+file source is threadsafe</li>
+<li><strong>metadata</strong> (<em>FileMetaData</em>) – If separately computed</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> – Content of the file as a table (of columns)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
+
+</div>
+
+
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+ <div class="section" id="pyarrow-parquet-write-metadata">
+<h1>pyarrow.parquet.write_metadata<a class="headerlink" href="#pyarrow-parquet-write-metadata" title="Permalink to this headline">�</a></h1>
+<dl class="function">
+<dt id="pyarrow.parquet.write_metadata">
+<code class="descclassname">pyarrow.parquet.</code><code class="descname">write_metadata</code><span class="sig-paren">(</span><em>schema</em>, <em>where</em>, <em>version='1.0'</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#write_metadata"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.write_metadata" title="Permalink to this definition">�</a></dt>
+<dd><p>Write metadata-only Parquet file from 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"><ul class="first last simple">
+<li><strong>schema</strong> (<a class="reference internal" href="pyarrow.Schema.html#pyarrow.Schema" title="pyarrow.Schema"><em>pyarrow.Schema</em></a>) – </li>
+<li><strong>where</strong> (<a class="reference internal" href="pyarrow.string.html#pyarrow.string" title="pyarrow.string"><em>string</em></a><em> or </em><em>pyarrow.io.NativeFile</em>) – </li>
+<li><strong>version</strong> (<em>{"1.0"</em><em>, </em><em>"2.0"}</em><em>, </em><em>default "1.0"</em>) – The Parquet format version, defaults to 1.0</li>
+</ul>
+</td>
+</tr>
+</tbody>
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+<li class="toctree-l2 current"><a class="reference internal" href="../api.html#apache-parquet">Apache Parquet</a><ul class="current">
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+<li class="toctree-l3"><a class="reference internal" href="pyarrow.parquet.write_metadata.html">pyarrow.parquet.write_metadata</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">pyarrow.parquet.write_table</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../jemalloc.html">jemalloc MemoryPool</a></li>
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+ <div class="section" id="pyarrow-parquet-write-table">
+<h1>pyarrow.parquet.write_table<a class="headerlink" href="#pyarrow-parquet-write-table" title="Permalink to this headline">�</a></h1>
+<dl class="function">
+<dt id="pyarrow.parquet.write_table">
+<code class="descclassname">pyarrow.parquet.</code><code class="descname">write_table</code><span class="sig-paren">(</span><em>table</em>, <em>where</em>, <em>row_group_size=None</em>, <em>version='1.0'</em>, <em>use_dictionary=True</em>, <em>compression='snappy'</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyarrow/parquet.html#write_table"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyarrow.parquet.write_table" title="Permalink to this definition">�</a></dt>
+<dd><p>Write a Table to Parquet format</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>table</strong> (<a class="reference internal" href="pyarrow.Table.html#pyarrow.Table" title="pyarrow.Table"><em>pyarrow.Table</em></a>) – </li>
+<li><strong>where</strong> (<a class="reference internal" href="pyarrow.string.html#pyarrow.string" title="pyarrow.string"><em>string</em></a><em> or </em><em>pyarrow.io.NativeFile</em>) – </li>
+<li><strong>row_group_size</strong> (<em>int</em><em>, </em><em>default None</em>) – The maximum number of rows in each Parquet RowGroup. As a default,
+we will write a single RowGroup per file.</li>
+<li><strong>version</strong> (<em>{"1.0"</em><em>, </em><em>"2.0"}</em><em>, </em><em>default "1.0"</em>) – The Parquet format version, defaults to 1.0</li>
+<li><strong>use_dictionary</strong> (<em>bool</em><em> or </em><em>list</em>) – Specify if we should use dictionary encoding in general or only for
+some columns.</li>
+<li><strong>compression</strong> (<em>str</em><em> or </em><em>dict</em>) – Specify the compression codec, either on a general basis or per-column.</li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
+</dd></dl>
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+ });
+ </script>
+
+
+</body>
+</html>
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