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routines.array-manipulation.html
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<h1><span class="yiyi-st" id="yiyi-23">Array manipulation routines</span></h1>
<blockquote>
<p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/routines.array-manipulation.html">https://docs.scipy.org/doc/numpy/reference/routines.array-manipulation.html</a></p>
<p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
<p>校对：（虚位以待）</p>
</blockquote>
<div class="section" id="basic-operations">
<h2><span class="yiyi-st" id="yiyi-24">Basic operations</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-25"><a class="reference internal" href="generated/numpy.copyto.html#numpy.copyto" title="numpy.copyto"><code class="xref py py-obj docutils literal"><span class="pre">copyto</span></code></a>（dst，src [，casting，where]）</span></td>
<td><span class="yiyi-st" id="yiyi-26">将值从一个数组复制到另一个，必要时进行广播。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="changing-array-shape">
<h2><span class="yiyi-st" id="yiyi-27">Changing array shape</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-28"><a class="reference internal" href="generated/numpy.reshape.html#numpy.reshape" title="numpy.reshape"><code class="xref py py-obj docutils literal"><span class="pre">reshape</span></code></a>（a，newshape [，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-29">为数组提供新形状，而不更改其数据。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-30"><a class="reference internal" href="generated/numpy.ravel.html#numpy.ravel" title="numpy.ravel"><code class="xref py py-obj docutils literal"><span class="pre">ravel</span></code></a>（a [，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-31">返回一个连续的扁平数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-32"><a class="reference internal" href="generated/numpy.ndarray.flat.html#numpy.ndarray.flat" title="numpy.ndarray.flat"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.flat</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-33">数组上的1-D迭代器。</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-34"><a class="reference internal" href="generated/numpy.ndarray.flatten.html#numpy.ndarray.flatten" title="numpy.ndarray.flatten"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.flatten</span></code></a>（[order]）</span></td>
<td><span class="yiyi-st" id="yiyi-35">将折叠的数组的副本返回到一个维度。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="transpose-like-operations">
<h2><span class="yiyi-st" id="yiyi-36">Transpose-like operations</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-37"><a class="reference internal" href="generated/numpy.moveaxis.html#numpy.moveaxis" title="numpy.moveaxis"><code class="xref py py-obj docutils literal"><span class="pre">moveaxis</span></code></a>（a，源，目标）</span></td>
<td><span class="yiyi-st" id="yiyi-38">将数组的轴移动到新位置。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-39"><a class="reference internal" href="generated/numpy.rollaxis.html#numpy.rollaxis" title="numpy.rollaxis"><code class="xref py py-obj docutils literal"><span class="pre">rollaxis</span></code></a>（a，axis [，start]）</span></td>
<td><span class="yiyi-st" id="yiyi-40">向后滚动指定的轴，直到它位于给定位置。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-41"><a class="reference internal" href="generated/numpy.swapaxes.html#numpy.swapaxes" title="numpy.swapaxes"><code class="xref py py-obj docutils literal"><span class="pre">swapaxes</span></code></a>（a，axis1，axis2）</span></td>
<td><span class="yiyi-st" id="yiyi-42">交换数组的两个轴。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-43"><a class="reference internal" href="generated/numpy.ndarray.T.html#numpy.ndarray.T" title="numpy.ndarray.T"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.T</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-44">与self.transpose()相同，除非self是self.ndim返回</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-45"><a class="reference internal" href="generated/numpy.transpose.html#numpy.transpose" title="numpy.transpose"><code class="xref py py-obj docutils literal"><span class="pre">transpose</span></code></a>（a [，axes]）</span></td>
<td><span class="yiyi-st" id="yiyi-46">允许数组的尺寸。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="changing-number-of-dimensions">
<h2><span class="yiyi-st" id="yiyi-47">Changing number of dimensions</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-48"><a class="reference internal" href="generated/numpy.atleast_1d.html#numpy.atleast_1d" title="numpy.atleast_1d"><code class="xref py py-obj docutils literal"><span class="pre">atleast_1d</span></code></a>（\ * arys）</span></td>
<td><span class="yiyi-st" id="yiyi-49">将输入转换为具有至少一个维度的数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-50"><a class="reference internal" href="generated/numpy.atleast_2d.html#numpy.atleast_2d" title="numpy.atleast_2d"><code class="xref py py-obj docutils literal"><span class="pre">atleast_2d</span></code></a>（\ * arys）</span></td>
<td><span class="yiyi-st" id="yiyi-51">将输入视为具有至少两个维度的数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-52"><a class="reference internal" href="generated/numpy.atleast_3d.html#numpy.atleast_3d" title="numpy.atleast_3d"><code class="xref py py-obj docutils literal"><span class="pre">atleast_3d</span></code></a>（\ * arys）</span></td>
<td><span class="yiyi-st" id="yiyi-53">将输入视为至少包含三个维度的数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-54"><a class="reference internal" href="generated/numpy.broadcast.html#numpy.broadcast" title="numpy.broadcast"><code class="xref py py-obj docutils literal"><span class="pre">broadcast</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-55">产生模仿广播的对象。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-56"><a class="reference internal" href="generated/numpy.broadcast_to.html#numpy.broadcast_to" title="numpy.broadcast_to"><code class="xref py py-obj docutils literal"><span class="pre">broadcast_to</span></code></a>（array，shape [，subbok]）</span></td>
<td><span class="yiyi-st" id="yiyi-57">将数组广播到新形状。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-58"><a class="reference internal" href="generated/numpy.broadcast_arrays.html#numpy.broadcast_arrays" title="numpy.broadcast_arrays"><code class="xref py py-obj docutils literal"><span class="pre">broadcast_arrays</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-59">相互之间广播任意数量的数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-60"><a class="reference internal" href="generated/numpy.expand_dims.html#numpy.expand_dims" title="numpy.expand_dims"><code class="xref py py-obj docutils literal"><span class="pre">expand_dims</span></code></a>（a，axis）</span></td>
<td><span class="yiyi-st" id="yiyi-61">展开数组的形状。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-62"><a class="reference internal" href="generated/numpy.squeeze.html#numpy.squeeze" title="numpy.squeeze"><code class="xref py py-obj docutils literal"><span class="pre">squeeze</span></code></a>（a [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-63">从数组的形状中删除单维条目。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="changing-kind-of-array">
<h2><span class="yiyi-st" id="yiyi-64">Changing kind of array</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-65"><a class="reference internal" href="generated/numpy.asarray.html#numpy.asarray" title="numpy.asarray"><code class="xref py py-obj docutils literal"><span class="pre">asarray</span></code></a>（a [，dtype，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-66">将输入转换为数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-67"><a class="reference internal" href="generated/numpy.asanyarray.html#numpy.asanyarray" title="numpy.asanyarray"><code class="xref py py-obj docutils literal"><span class="pre">asanyarray</span></code></a>（a [，dtype，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-68">将输入转换为ndarray，但传递ndarray子类。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-69"><a class="reference internal" href="generated/numpy.asmatrix.html#numpy.asmatrix" title="numpy.asmatrix"><code class="xref py py-obj docutils literal"><span class="pre">asmatrix</span></code></a>（data [，dtype]）</span></td>
<td><span class="yiyi-st" id="yiyi-70">将输入解释为矩阵。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-71"><a class="reference internal" href="generated/numpy.asfarray.html#numpy.asfarray" title="numpy.asfarray"><code class="xref py py-obj docutils literal"><span class="pre">asfarray</span></code></a>（a [，dtype]）</span></td>
<td><span class="yiyi-st" id="yiyi-72">返回一个转换为float类型的数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-73"><a class="reference internal" href="generated/numpy.asfortranarray.html#numpy.asfortranarray" title="numpy.asfortranarray"><code class="xref py py-obj docutils literal"><span class="pre">asfortranarray</span></code></a>（a [，dtype]）</span></td>
<td><span class="yiyi-st" id="yiyi-74">返回在Fortran中排列的数组在内存中的顺序。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-75"><a class="reference internal" href="generated/numpy.ascontiguousarray.html#numpy.ascontiguousarray" title="numpy.ascontiguousarray"><code class="xref py py-obj docutils literal"><span class="pre">ascontiguousarray</span></code></a>（a [，dtype]）</span></td>
<td><span class="yiyi-st" id="yiyi-76">返回内存中的连续数组（C order）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-77"><a class="reference internal" href="generated/numpy.asarray_chkfinite.html#numpy.asarray_chkfinite" title="numpy.asarray_chkfinite"><code class="xref py py-obj docutils literal"><span class="pre">asarray_chkfinite</span></code></a>（a [，dtype，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-78">将输入转换为数组，检查NaN或Infs。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-79"><a class="reference internal" href="generated/numpy.asscalar.html#numpy.asscalar" title="numpy.asscalar"><code class="xref py py-obj docutils literal"><span class="pre">asscalar</span></code></a>（a）</span></td>
<td><span class="yiyi-st" id="yiyi-80">将大小为1的数组转换为其标量等效值。</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-81"><a class="reference internal" href="generated/numpy.require.html#numpy.require" title="numpy.require"><code class="xref py py-obj docutils literal"><span class="pre">require</span></code></a>（a [，dtype，requirements]）</span></td>
<td><span class="yiyi-st" id="yiyi-82">返回满足要求的所提供类型的数组。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="joining-arrays">
<h2><span class="yiyi-st" id="yiyi-83">Joining arrays</span></h2>
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<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-84"><a class="reference internal" href="generated/numpy.concatenate.html#numpy.concatenate" title="numpy.concatenate"><code class="xref py py-obj docutils literal"><span class="pre">concatenate</span></code></a>（（a1，a2，...）[，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-85">沿现有轴连接数组序列。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-86"><a class="reference internal" href="generated/numpy.stack.html#numpy.stack" title="numpy.stack"><code class="xref py py-obj docutils literal"><span class="pre">stack</span></code></a>（arrays [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-87">沿着新轴连接数组的序列。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-88"><a class="reference internal" href="generated/numpy.column_stack.html#numpy.column_stack" title="numpy.column_stack"><code class="xref py py-obj docutils literal"><span class="pre">column_stack</span></code></a>（tup）</span></td>
<td><span class="yiyi-st" id="yiyi-89">将1-D数组作为列堆叠到2-D数组中。</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-90"><a class="reference internal" href="generated/numpy.dstack.html#numpy.dstack" title="numpy.dstack"><code class="xref py py-obj docutils literal"><span class="pre">dstack</span></code></a>（tup）</span></td>
<td><span class="yiyi-st" id="yiyi-91">按照深度顺序（沿第三轴）堆叠数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-92"><a class="reference internal" href="generated/numpy.hstack.html#numpy.hstack" title="numpy.hstack"><code class="xref py py-obj docutils literal"><span class="pre">hstack</span></code></a>（tup）</span></td>
<td><span class="yiyi-st" id="yiyi-93">水平（按列顺序）堆叠数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-94"><a class="reference internal" href="generated/numpy.vstack.html#numpy.vstack" title="numpy.vstack"><code class="xref py py-obj docutils literal"><span class="pre">vstack</span></code></a>（tup）</span></td>
<td><span class="yiyi-st" id="yiyi-95">垂直（按行）顺序堆叠数组。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="splitting-arrays">
<h2><span class="yiyi-st" id="yiyi-96">Splitting arrays</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-97"><a class="reference internal" href="generated/numpy.split.html#numpy.split" title="numpy.split"><code class="xref py py-obj docutils literal"><span class="pre">split</span></code></a>（ary，indices_or_sections [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-98">将数组拆分为多个子数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-99"><a class="reference internal" href="generated/numpy.array_split.html#numpy.array_split" title="numpy.array_split"><code class="xref py py-obj docutils literal"><span class="pre">array_split</span></code></a>（ary，indices_or_sections [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-100">将数组拆分为多个子数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-101"><a class="reference internal" href="generated/numpy.dsplit.html#numpy.dsplit" title="numpy.dsplit"><code class="xref py py-obj docutils literal"><span class="pre">dsplit</span></code></a>（ary，indices_or_sections）</span></td>
<td><span class="yiyi-st" id="yiyi-102">将数组沿着第3轴（深度）拆分成多个子数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-103"><a class="reference internal" href="generated/numpy.hsplit.html#numpy.hsplit" title="numpy.hsplit"><code class="xref py py-obj docutils literal"><span class="pre">hsplit</span></code></a>（ary，indices_or_sections）</span></td>
<td><span class="yiyi-st" id="yiyi-104">将数组水平（逐列）拆分为多个子数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-105"><a class="reference internal" href="generated/numpy.vsplit.html#numpy.vsplit" title="numpy.vsplit"><code class="xref py py-obj docutils literal"><span class="pre">vsplit</span></code></a>（ary，indices_or_sections）</span></td>
<td><span class="yiyi-st" id="yiyi-106">垂直（行方向）将数组拆分成多个子数组。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="tiling-arrays">
<h2><span class="yiyi-st" id="yiyi-107">Tiling arrays</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-108"><a class="reference internal" href="generated/numpy.tile.html#numpy.tile" title="numpy.tile"><code class="xref py py-obj docutils literal"><span class="pre">tile</span></code></a>（A，reps）</span></td>
<td><span class="yiyi-st" id="yiyi-109">通过重复A由reps指定的次数构造数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-110"><a class="reference internal" href="generated/numpy.repeat.html#numpy.repeat" title="numpy.repeat"><code class="xref py py-obj docutils literal"><span class="pre">repeat</span></code></a>（a，重复[，轴]）</span></td>
<td><span class="yiyi-st" id="yiyi-111">重复数组的元素。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="adding-and-removing-elements">
<h2><span class="yiyi-st" id="yiyi-112">Adding and removing elements</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-113"><a class="reference internal" href="generated/numpy.delete.html#numpy.delete" title="numpy.delete"><code class="xref py py-obj docutils literal"><span class="pre">delete</span></code></a>（arr，obj [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-114">返回具有沿着轴删除的子数组的新数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-115"><a class="reference internal" href="generated/numpy.insert.html#numpy.insert" title="numpy.insert"><code class="xref py py-obj docutils literal"><span class="pre">insert</span></code></a>（arr，obj，values [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-116">在给定的索引之前沿给定轴插入值。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-117"><a class="reference internal" href="generated/numpy.append.html#numpy.append" title="numpy.append"><code class="xref py py-obj docutils literal"><span class="pre">append</span></code></a>（arr，values [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-118">将值附加到数组的末尾。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-119"><a class="reference internal" href="generated/numpy.resize.html#numpy.resize" title="numpy.resize"><code class="xref py py-obj docutils literal"><span class="pre">resize</span></code></a>（a，new_shape）</span></td>
<td><span class="yiyi-st" id="yiyi-120">返回具有指定形状的新数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-121"><a class="reference internal" href="generated/numpy.trim_zeros.html#numpy.trim_zeros" title="numpy.trim_zeros"><code class="xref py py-obj docutils literal"><span class="pre">trim_zeros</span></code></a>（filt [，trim]）</span></td>
<td><span class="yiyi-st" id="yiyi-122">从1-D数组或序列修剪前导和/或尾随零。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-123"><a class="reference internal" href="generated/numpy.unique.html#numpy.unique" title="numpy.unique"><code class="xref py py-obj docutils literal"><span class="pre">unique</span></code></a>（ar [，return_index，return_inverse，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-124">查找数组的唯一元素。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="rearranging-elements">
<h2><span class="yiyi-st" id="yiyi-125">Rearranging elements</span></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-126"><code class="xref py py-obj docutils literal"><span class="pre">flip</span></code></span></td>
<td></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-127"><a class="reference internal" href="generated/numpy.fliplr.html#numpy.fliplr" title="numpy.fliplr"><code class="xref py py-obj docutils literal"><span class="pre">fliplr</span></code></a>（m）</span></td>
<td><span class="yiyi-st" id="yiyi-128">在左/右方向上翻转数组。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-129"><a class="reference internal" href="generated/numpy.flipud.html#numpy.flipud" title="numpy.flipud"><code class="xref py py-obj docutils literal"><span class="pre">flipud</span></code></a>（m）</span></td>
<td><span class="yiyi-st" id="yiyi-130">在上/下方向上翻转数组。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-131"><a class="reference internal" href="generated/numpy.reshape.html#numpy.reshape" title="numpy.reshape"><code class="xref py py-obj docutils literal"><span class="pre">reshape</span></code></a>（a，newshape [，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-132">为数组提供新形状，而不更改其数据。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-133"><a class="reference internal" href="generated/numpy.roll.html#numpy.roll" title="numpy.roll"><code class="xref py py-obj docutils literal"><span class="pre">roll</span></code></a>（a，shift [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-134">沿给定轴滚动数组元素。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-135"><a class="reference internal" href="generated/numpy.rot90.html#numpy.rot90" title="numpy.rot90"><code class="xref py py-obj docutils literal"><span class="pre">rot90</span></code></a>（m [，k]）</span></td>
<td><span class="yiyi-st" id="yiyi-136">将数组沿逆时针方向旋转90度。</span></td>
</tr>
</tbody>
</table>
</div>