<spanid="reference"></span><h1>pNbody Reference<aclass="headerlink"href="#pnbody-reference"title="Permalink to this headline">¶</a></h1>
<p>An <ttclass="xref py py-class docutils literal"><spanclass="pre">ndarray</span></tt> is a (usually fixed-size) multidimensional
container of items of the same type and size. The number of dimensions
and items in an array is defined by its <ttclass="xref py py-attr docutils literal"><spanclass="pre">shape</span></tt>,
which is a <ttclass="xref py py-class docutils literal"><spanclass="pre">tuple</span></tt> of <em>N</em> positive integers that specify the
sizes of each dimension. The type of items in the array is specified by
a separate <emclass="xref std std-ref">data-type object (dtype)</em>, one of which
is associated with each ndarray.</p>
<dlclass="function">
<dtid="numpy.enumerate">
<ttclass="descclassname">numpy.</tt><ttclass="descname">enumerate</tt><big>(</big><em>sequence</em><spanclass="optional">[</span>, <em>start=0</em><spanclass="optional">]</span><big>)</big><aclass="headerlink"href="#numpy.enumerate"title="Permalink to this definition">¶</a></dt>
<dd><p>Return an iterator that yields tuples of an index and an item of the
<em>sequence</em>. (And so on.)</p>
</dd></dl>
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