123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628 |
- <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
- <html xmlns="http://www.w3.org/1999/xhtml">
- <head>
- <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
-
- <title>ndarray - Boost.Python NumPy extension 1.0 documentation</title>
- <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
- <link rel="stylesheet" href="../_static/style.css" type="text/css" />
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: '../',
- VERSION: '1.0',
- COLLAPSE_MODINDEX: false,
- FILE_SUFFIX: '.html'
- };
- </script>
- <script type="text/javascript" src="../_static/jquery.js"></script>
- <script type="text/javascript" src="../_static/underscore.js"></script>
- <script type="text/javascript" src="../_static/doctools.js"></script>
- <link rel="index" title="Index" href="../genindex.html" />
- <link rel="search" title="Search" href="../search.html" />
- <link rel="top" title="Boost.Python NumPy extension 1.0 documentation" href="../index.html" />
- <link rel="up" title="Boost.Python NumPy extension Reference" href="index.html" />
- <link rel="next" title="unary_ufunc" href="unary_ufunc.html" />
- <link rel="prev" title="dtype" href="dtype.html" />
- </head>
- <body>
- <div class="header">
- <table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
- "header">
- <tr>
- <td valign="top" width="300">
- <h3><a href="../index.html"><img
- alt="C++ Boost" src="../_static/bpl.png" border="0"></a></h3>
- </td>
- <td >
- <h1 align="center"><a href="../index.html">(NumPy)</a></h1>
- <!-- <h2 align="center">CallPolicies Concept</h2>-->
- </td>
- <td>
- <div id="searchbox" style="display: none">
- <form class="search" action="../search.html" method="get">
- <input type="text" name="q" size="18" />
- <input type="submit" value="Search" />
- <input type="hidden" name="check_keywords" value="yes" />
- <input type="hidden" name="area" value="default" />
- </form>
- </div>
- <script type="text/javascript">$('#searchbox').show(0);</script>
- </td>
- </tr>
- </table>
- </div>
- <hr/>
- <div class="content">
- <div class="navbar" style="text-align:right;">
-
-
- <a class="prev" title="dtype" href="dtype.html"><img src="../_static/prev.png" alt="prev"/></a>
- <a class="up" title="Boost.Python NumPy extension Reference" href="index.html"><img src="../_static/up.png" alt="up"/></a>
- <a class="next" title="unary_ufunc" href="unary_ufunc.html"><img src="../_static/next.png" alt="next"/></a>
-
- </div>
-
- <div class="section" id="ndarray">
- <h1><a class="toc-backref" href="#id2">ndarray</a></h1>
- <div class="contents topic" id="table-of-contents">
- <p class="topic-title first">Table of Contents</p>
- <ul class="simple">
- <li><a class="reference internal" href="#ndarray" id="id2">ndarray</a><ul>
- <li><a class="reference internal" href="#synopsis" id="id3">synopsis</a></li>
- <li><a class="reference internal" href="#constructors" id="id4">constructors</a></li>
- <li><a class="reference internal" href="#accessors" id="id5">accessors</a></li>
- <li><a class="reference internal" href="#example-s" id="id6">Example(s)</a></li>
- </ul>
- </li>
- </ul>
- </div>
- <p>A <a class="reference external" href="http://docs.scipy.org/doc/numpy/reference/arrays.ndarray.html">ndarray</a> is an N-dimensional array which contains items of the same type and size, where N is the number of dimensions and is specified in the form of a <code class="docutils literal"><span class="pre">shape</span></code> tuple. Optionally, the numpy <code class="docutils literal"><span class="pre">dtype</span></code> for the objects contained may also be specified.</p>
- <blockquote>
- <div><code class="docutils literal"><span class="pre"><boost/python/numpy/ndarray.hpp></span></code> contains the structures and methods necessary to move raw data between C++ and Python and create ndarrays from the data</div></blockquote>
- <div class="section" id="synopsis">
- <h2><a class="toc-backref" href="#id3">synopsis</a></h2>
- <div class="highlight-c++"><div class="highlight"><pre><span class="k">namespace</span> <span class="n">boost</span>
- <span class="p">{</span>
- <span class="k">namespace</span> <span class="n">python</span>
- <span class="p">{</span>
- <span class="k">namespace</span> <span class="n">numpy</span>
- <span class="p">{</span>
- <span class="k">class</span> <span class="nc">ndarray</span> <span class="o">:</span> <span class="k">public</span> <span class="n">object</span>
- <span class="p">{</span>
- <span class="k">public</span><span class="o">:</span>
- <span class="k">enum</span> <span class="n">bitflag</span>
- <span class="p">{</span>
- <span class="n">NONE</span><span class="o">=</span><span class="mh">0x0</span><span class="p">,</span> <span class="n">C_CONTIGUOUS</span><span class="o">=</span><span class="mh">0x1</span><span class="p">,</span> <span class="n">F_CONTIGUOUS</span><span class="o">=</span><span class="mh">0x2</span><span class="p">,</span> <span class="n">V_CONTIGUOUS</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="p">,</span>
- <span class="n">ALIGNED</span><span class="o">=</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">WRITEABLE</span><span class="o">=</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">BEHAVED</span><span class="o">=</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span>
- <span class="n">CARRAY_RO</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">CARRAY</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">CARRAY_MIS</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span>
- <span class="n">FARRAY_RO</span><span class="o">=</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">FARRAY</span><span class="o">=</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">FARRAY_MIS</span><span class="o">=</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span>
- <span class="n">UPDATE_ALL</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">VARRAY</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">ALL</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span>
- <span class="p">};</span>
- <span class="n">ndarray</span> <span class="nf">view</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">ndarray</span> <span class="nf">astype</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">ndarray</span> <span class="nf">copy</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="kt">int</span> <span class="k">const</span> <span class="nf">shape</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
- <span class="kt">int</span> <span class="k">const</span> <span class="nf">strides</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
- <span class="kt">char</span> <span class="o">*</span> <span class="nf">get_data</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">dtype</span> <span class="nf">get_dtype</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">python</span><span class="o">::</span><span class="n">object</span> <span class="n">get_base</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="kt">void</span> <span class="nf">set_base</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">base</span><span class="p">);</span>
- <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_shape</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_strides</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="kt">int</span> <span class="k">const</span> <span class="nf">get_nd</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">bitflag</span> <span class="k">const</span> <span class="nf">get_flags</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">ndarray</span> <span class="nf">transpose</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">ndarray</span> <span class="nf">squeeze</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">ndarray</span> <span class="nf">reshape</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&</span> <span class="n">shape</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
- <span class="n">object</span> <span class="nf">scalarize</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
- <span class="p">};</span>
- <span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="k">template</span> <span class="o"><</span><span class="k">typename</span> <span class="n">Container</span><span class="o">></span>
- <span class="n">ndarray</span> <span class="n">from_data</span><span class="p">(</span><span class="kt">void</span> <span class="o">*</span> <span class="n">data</span><span class="p">,</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span><span class="n">Container</span> <span class="n">shape</span><span class="p">,</span><span class="n">Container</span> <span class="n">strides</span><span class="p">,</span><span class="n">python</span><span class="o">::</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">owner</span><span class="p">);</span>
- <span class="k">template</span> <span class="o"><</span><span class="k">typename</span> <span class="n">Container</span><span class="o">></span>
- <span class="n">ndarray</span> <span class="n">from_data</span><span class="p">(</span><span class="kt">void</span> <span class="k">const</span> <span class="o">*</span> <span class="n">data</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span> <span class="n">Container</span> <span class="n">shape</span><span class="p">,</span> <span class="n">Container</span> <span class="n">strides</span><span class="p">,</span> <span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">owner</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span><span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">)</span>
- <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">|</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">&</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">);</span>
- <span class="p">}</span>
- </pre></div>
- </div>
- </div>
- <div class="section" id="constructors">
- <h2><a class="toc-backref" href="#id4">constructors</a></h2>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">view</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</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">new ndarray with old ndarray data cast as supplied dtype</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">astype</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</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">new ndarray with old ndarray data converted to supplied dtype</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">copy</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Copy of calling ndarray object</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">transpose</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">An ndarray with the rows and columns interchanged</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">squeeze</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">An ndarray with all unit-shaped dimensions removed</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">reshape</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&</span> <span class="n">shape</span><span class="p">)</span> <span class="k">const</span><span class="p">;</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">Requirements:</th><td class="field-body">The new <code class="docutils literal"><span class="pre">shape</span></code> of the ndarray must be supplied as a tuple</td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An ndarray with the same data but reshaped to the <code class="docutils literal"><span class="pre">shape</span></code> supplied</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">object</span> <span class="nf">scalarize</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">A scalar if the ndarray has only one element, otherwise it returns the entire array</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied as required :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">shape</span></code> or the size of all dimensions, as a tuple</li>
- <li>the <code class="docutils literal"><span class="pre">dtype</span></code> of the data</li>
- <li>the <code class="docutils literal"><span class="pre">nd</span></code> size for a square shaped ndarray</li>
- <li>the <code class="docutils literal"><span class="pre">shape</span></code> Py_intptr_t</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">A new ndarray with the given shape and data type, with data initialized to zero.</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">shape</span></code> or the size of all dimensions, as a tuple</li>
- <li>the <code class="docutils literal"><span class="pre">dtype</span></code> of the data</li>
- <li>the <code class="docutils literal"><span class="pre">shape</span></code> Py_intptr_t</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">A new ndarray with the given shape and data type, with data left uninitialized.</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">);</span>
- <span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">);</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">A new ndarray from an arbitrary Python sequence, with dtype of each element specified optionally</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="k">template</span> <span class="o"><</span><span class="k">typename</span> <span class="n">Container</span><span class="o">></span>
- <span class="kr">inline</span> <span class="n">ndarray</span> <span class="n">from_data</span><span class="p">(</span><span class="kt">void</span> <span class="o">*</span> <span class="n">data</span><span class="p">,</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span><span class="n">Container</span> <span class="n">shape</span><span class="p">,</span><span class="n">Container</span> <span class="n">strides</span><span class="p">,</span><span class="n">python</span><span class="o">::</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">owner</span><span class="p">)</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">data</span></code> which is a generic C++ data container</li>
- <li>the dtype <code class="docutils literal"><span class="pre">dt</span></code> of the data</li>
- <li>the <code class="docutils literal"><span class="pre">shape</span></code> of the ndarray as Python object</li>
- <li>the <code class="docutils literal"><span class="pre">strides</span></code> of each dimension of the array as a Python object</li>
- <li>the <code class="docutils literal"><span class="pre">owner</span></code> of the data, in case it is not the ndarray itself</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">ndarray with attributes and data supplied</p>
- </td>
- </tr>
- <tr class="field-odd field"><th class="field-name">Note:</th><td class="field-body"><p class="first last">The <code class="docutils literal"><span class="pre">Container</span></code> typename must be one that is convertible to a std::vector or python object type</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span><span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
- <li>the dtype <code class="docutils literal"><span class="pre">dt</span></code> of the data</li>
- <li>minimum number of dimensions <code class="docutils literal"><span class="pre">nd_min</span></code> of the ndarray as Python object</li>
- <li>maximum number of dimensions <code class="docutils literal"><span class="pre">nd_max</span></code> of the ndarray as Python object</li>
- <li>optional <code class="docutils literal"><span class="pre">flags</span></code> bitflags</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray constructed with dimensions and data supplied as parameters</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kr">inline</span> <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
- <li>the dtype <code class="docutils literal"><span class="pre">dt</span></code> of the data</li>
- <li>number of dimensions <code class="docutils literal"><span class="pre">nd</span></code> of the ndarray as Python object</li>
- <li>optional <code class="docutils literal"><span class="pre">flags</span></code> bitflags</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray with dimensions <code class="docutils literal"><span class="pre">nd</span></code> x <code class="docutils literal"><span class="pre">nd</span></code> and suplied parameters</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kr">inline</span> <span class="n">ndarray</span> <span class="n">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&</span> <span class="n">dt</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">)</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
- <li>the dtype <code class="docutils literal"><span class="pre">dt</span></code> of the data</li>
- <li>optional <code class="docutils literal"><span class="pre">flags</span></code> bitflags</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Supplied Python object as ndarray</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
- <li>minimum number of dimensions <code class="docutils literal"><span class="pre">nd_min</span></code> of the ndarray as Python object</li>
- <li>maximum number of dimensions <code class="docutils literal"><span class="pre">nd_max</span></code> of the ndarray as Python object</li>
- <li>optional <code class="docutils literal"><span class="pre">flags</span></code> bitflags</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">ndarray with supplied dimension limits and parameters</p>
- </td>
- </tr>
- <tr class="field-odd field"><th class="field-name">Note:</th><td class="field-body"><p class="first last">dtype need not be supplied here</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kr">inline</span> <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
- <li>the dtype <code class="docutils literal"><span class="pre">dt</span></code> of the data</li>
- <li>number of dimensions <code class="docutils literal"><span class="pre">nd</span></code> of the ndarray as Python object</li>
- <li>optional <code class="docutils literal"><span class="pre">flags</span></code> bitflags</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray of <code class="docutils literal"><span class="pre">nd</span></code> x <code class="docutils literal"><span class="pre">nd</span></code> dimensions constructed from the supplied object</p>
- </td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kr">inline</span> <span class="n">ndarray</span> <span class="n">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">obj</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">)</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">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
- <ul class="simple">
- <li>the <code class="docutils literal"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
- <li>optional <code class="docutils literal"><span class="pre">flags</span></code> bitflags</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray of same dimensions and dtype as supplied Python object</p>
- </td>
- </tr>
- </tbody>
- </table>
- </div>
- <div class="section" id="accessors">
- <h2><a class="toc-backref" href="#id5">accessors</a></h2>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kt">int</span> <span class="k">const</span> <span class="nf">shape</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</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">The size of the n-th dimension of the ndarray</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kt">int</span> <span class="k">const</span> <span class="nf">strides</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</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">The stride of the nth dimension.</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kt">char</span> <span class="o">*</span> <span class="nf">get_data</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Array’s raw data pointer as a char</td>
- </tr>
- <tr class="field-even field"><th class="field-name">Note:</th><td class="field-body">This returns char so stride math works properly on it.User will have to reinterpret_cast it.</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">dtype</span> <span class="nf">get_dtype</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Array’s data-type descriptor object (dtype)</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">object</span> <span class="nf">get_base</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Object that owns the array’s data, or None if the array owns its own data.</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kt">void</span> <span class="nf">set_base</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&</span> <span class="n">base</span><span class="p">);</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">Set the object that owns the array’s data. Exercise caution while using this</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_shape</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Shape of the array as an array of integers</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_strides</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Stride of the array as an array of integers</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kt">int</span> <span class="k">const</span> <span class="nf">get_nd</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Number of array dimensions</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="n">bitflag</span> <span class="k">const</span> <span class="nf">get_flags</span><span class="p">()</span> <span class="k">const</span><span class="p">;</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">Array flags</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kr">inline</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">|</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">)</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">bitflag logically OR-ed as (a | b)</td>
- </tr>
- </tbody>
- </table>
- <div class="highlight-c++"><div class="highlight"><pre><span class="kr">inline</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">&</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">)</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">bitflag logically AND-ed as (a & b)</td>
- </tr>
- </tbody>
- </table>
- </div>
- <div class="section" id="example-s">
- <h2><a class="toc-backref" href="#id6">Example(s)</a></h2>
- <div class="highlight-c++"><div class="highlight"><pre><span class="k">namespace</span> <span class="n">p</span> <span class="o">=</span> <span class="n">boost</span><span class="o">::</span><span class="n">python</span><span class="p">;</span>
- <span class="k">namespace</span> <span class="n">np</span> <span class="o">=</span> <span class="n">boost</span><span class="o">::</span><span class="n">python</span><span class="o">::</span><span class="n">numpy</span><span class="p">;</span>
- <span class="n">p</span><span class="o">::</span><span class="n">object</span> <span class="n">tu</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="sc">'a'</span><span class="p">,</span><span class="sc">'b'</span><span class="p">,</span><span class="sc">'c'</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">example_tuple</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">array</span> <span class="p">(</span><span class="n">tu</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">p</span><span class="o">::</span><span class="n">list</span> <span class="n">l</span> <span class="p">;</span>
- <span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">example_list</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">array</span> <span class="p">(</span><span class="n">l</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">np</span><span class="o">::</span><span class="n">dtype</span> <span class="n">dt</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">dtype</span><span class="o">::</span><span class="n">get_builtin</span><span class="o"><</span><span class="kt">int</span><span class="o">></span><span class="p">();</span>
- <span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">example_list1</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">array</span> <span class="p">(</span><span class="n">l</span><span class="p">,</span><span class="n">dt</span><span class="p">);</span>
- <span class="kt">int</span> <span class="n">data</span><span class="p">[]</span> <span class="o">=</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="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">}</span> <span class="p">;</span>
- <span class="n">p</span><span class="o">::</span><span class="n">tuple</span> <span class="n">shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">p</span><span class="o">::</span><span class="n">tuple</span> <span class="n">stride</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">p</span><span class="o">::</span><span class="n">object</span> <span class="n">own</span> <span class="p">;</span>
- <span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">data_ex</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">from_data</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">dt</span><span class="p">,</span><span class="n">shape</span><span class="p">,</span><span class="n">stride</span><span class="p">,</span><span class="n">own</span><span class="p">);</span>
- <span class="kt">uint8_t</span> <span class="n">mul_data</span><span class="p">[][</span><span class="mi">4</span><span class="p">]</span> <span class="o">=</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="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">},{</span><span class="mi">5</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">7</span><span class="p">,</span><span class="mi">8</span><span class="p">},{</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">7</span><span class="p">}};</span>
- <span class="n">shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">stride</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span> <span class="p">;</span>
- <span class="n">np</span><span class="o">::</span><span class="n">dtype</span> <span class="n">dt1</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">dtype</span><span class="o">::</span><span class="n">get_builtin</span><span class="o"><</span><span class="kt">uint8_t</span><span class="o">></span><span class="p">();</span>
- <span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">mul_data_ex</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">from_data</span><span class="p">(</span><span class="n">mul_data</span><span class="p">,</span><span class="n">dt1</span><span class="p">,</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span><span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="n">p</span><span class="o">::</span><span class="n">object</span><span class="p">());</span>
- <span class="n">mul_data_ex</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">from_data</span><span class="p">(</span><span class="n">mul_data</span><span class="p">,</span><span class="n">dt1</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span><span class="n">stride</span><span class="p">,</span><span class="n">p</span><span class="o">::</span><span class="n">object</span><span class="p">());</span>
- </pre></div>
- </div>
- </div>
- </div>
- <div class="navbar" style="text-align:right;">
-
-
- <a class="prev" title="dtype" href="dtype.html"><img src="../_static/prev.png" alt="prev"/></a>
- <a class="up" title="Boost.Python NumPy extension Reference" href="index.html"><img src="../_static/up.png" alt="up"/></a>
- <a class="next" title="unary_ufunc" href="unary_ufunc.html"><img src="../_static/next.png" alt="next"/></a>
-
- </div>
- </div>
- </body>
- </html>
|