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<li class="toctree-l2"><a class="reference internal" href="nep-0030-duck-array-protocol.html">NEP 30 — Duck typing for NumPy arrays - implementation</a></li>
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<li class="toctree-l2"><a class="reference internal" href="nep-0016-abstract-array.html">NEP 16 — An abstract base class for identifying "duck arrays"</a></li>
<li class="toctree-l2"><a class="reference internal" href="nep-0017-split-out-maskedarray.html">NEP 17 — Split out masked arrays</a></li>
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<section id="nep-9-structured-array-extensions">
<span id="nep09"></span><h1>NEP 9 — Structured array extensions<a class="headerlink" href="#nep-9-structured-array-extensions" title="Link to this heading">#</a></h1>
<dl class="field-list simple">
<dt class="field-odd">Status<span class="colon">:</span></dt>
<dd class="field-odd"><p>Deferred</p>
</dd>
</dl>
<ol class="arabic simple">
<li><p>Create with-style context that makes “named-columns” available as names in the namespace.</p></li>
</ol>
<blockquote>
<div><dl class="simple">
<dt>with np.columns(array):</dt><dd><p>price = unit * quantity</p>
</dd>
</dl>
</div></blockquote>
<ol class="arabic simple" start="2">
<li><p>Allow structured arrays to be sliced by their column (i.e. one additional indexing option for structured arrays) so that a[:4, ‘foo’:’bar’] would be allowed.</p></li>
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