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<section id="masked-array-operations">
<span id="routines-ma"></span><h1>Masked array operations<a class="headerlink" href="#masked-array-operations" title="Link to this heading">#</a></h1>
<section id="constants">
<h2>Constants<a class="headerlink" href="#constants" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.MaskType.html#numpy.ma.MaskType" title="numpy.ma.MaskType"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskType</span></code></a></p></td>
<td><p>alias of <a class="reference internal" href="arrays.scalars.html#numpy.bool" title="numpy.bool"><code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code></a></p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="creation">
<h2>Creation<a class="headerlink" href="#creation" title="Link to this heading">#</a></h2>
<section id="from-existing-data">
<h3>From existing data<a class="headerlink" href="#from-existing-data" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.masked_array.html#numpy.ma.masked_array" title="numpy.ma.masked_array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.masked_array</span></code></a></p></td>
<td><p>alias of <a class="reference internal" href="maskedarray.baseclass.html#numpy.ma.MaskedArray" title="numpy.ma.MaskedArray"><code class="xref py py-class docutils literal notranslate"><span class="pre">MaskedArray</span></code></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.array.html#numpy.ma.array" title="numpy.ma.array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.array</span></code></a>(data[, dtype, copy, order, mask, ...])</p></td>
<td><p>An array class with possibly masked values.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.copy.html#numpy.ma.copy" title="numpy.ma.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.copy</span></code></a>(self, *args, **params) a.copy(order=)</p></td>
<td><p>Return a copy of the array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.frombuffer.html#numpy.ma.frombuffer" title="numpy.ma.frombuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.frombuffer</span></code></a>(buffer[, dtype, count, ...])</p></td>
<td><p>Interpret a buffer as a 1-dimensional array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.fromfunction.html#numpy.ma.fromfunction" title="numpy.ma.fromfunction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.fromfunction</span></code></a>(function, shape, **dtype)</p></td>
<td><p>Construct an array by executing a function over each coordinate.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.copy.html#numpy.ma.MaskedArray.copy" title="numpy.ma.MaskedArray.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.copy</span></code></a>([order])</p></td>
<td><p>Return a copy of the array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.diagflat.html#numpy.ma.diagflat" title="numpy.ma.diagflat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.diagflat</span></code></a></p></td>
<td><p>Create a two-dimensional array with the flattened input as a diagonal.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="ones-and-zeros">
<h3>Ones and zeros<a class="headerlink" href="#ones-and-zeros" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.empty.html#numpy.ma.empty" title="numpy.ma.empty"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.empty</span></code></a>(shape[, dtype, order, device, like])</p></td>
<td><p>Return a new array of given shape and type, without initializing entries.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.empty_like.html#numpy.ma.empty_like" title="numpy.ma.empty_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.empty_like</span></code></a>(prototype[, dtype, order, ...])</p></td>
<td><p>Return a new array with the same shape and type as a given array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.masked_all.html#numpy.ma.masked_all" title="numpy.ma.masked_all"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.masked_all</span></code></a>(shape[, dtype])</p></td>
<td><p>Empty masked array with all elements masked.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.masked_all_like.html#numpy.ma.masked_all_like" title="numpy.ma.masked_all_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.masked_all_like</span></code></a>(arr)</p></td>
<td><p>Empty masked array with the properties of an existing array.</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.ones.html#numpy.ma.ones" title="numpy.ma.ones"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.ones</span></code></a>(shape[, dtype, order])</p></td>
<td><p>Return a new array of given shape and type, filled with ones.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.ones_like.html#numpy.ma.ones_like" title="numpy.ma.ones_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.ones_like</span></code></a></p></td>
<td><p>Return an array of ones with the same shape and type as a given array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.zeros.html#numpy.ma.zeros" title="numpy.ma.zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.zeros</span></code></a>(shape[, dtype, order, like])</p></td>
<td><p>Return a new array of given shape and type, filled with zeros.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.zeros_like.html#numpy.ma.zeros_like" title="numpy.ma.zeros_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.zeros_like</span></code></a></p></td>
<td><p>Return an array of zeros with the same shape and type as a given array.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
</section>
<hr class="docutils" />
<section id="inspecting-the-array">
<h2>Inspecting the array<a class="headerlink" href="#inspecting-the-array" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.all.html#numpy.ma.all" title="numpy.ma.all"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.all</span></code></a>(self[, axis, out, keepdims])</p></td>
<td><p>Returns True if all elements evaluate to True.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.any.html#numpy.ma.any" title="numpy.ma.any"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.any</span></code></a>(self[, axis, out, keepdims])</p></td>
<td><p>Returns True if any of the elements of <em class="xref py py-obj">a</em> evaluate to True.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.count.html#numpy.ma.count" title="numpy.ma.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.count</span></code></a>(self[, axis, keepdims])</p></td>
<td><p>Count the non-masked elements of the array along the given axis.</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.count_masked.html#numpy.ma.count_masked" title="numpy.ma.count_masked"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.count_masked</span></code></a>(arr[, axis])</p></td>
<td><p>Count the number of masked elements along the given axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.getmask.html#numpy.ma.getmask" title="numpy.ma.getmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.getmask</span></code></a>(a)</p></td>
<td><p>Return the mask of a masked array, or nomask.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.getmaskarray.html#numpy.ma.getmaskarray" title="numpy.ma.getmaskarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.getmaskarray</span></code></a>(arr)</p></td>
<td><p>Return the mask of a masked array, or full boolean array of False.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.getdata.html#numpy.ma.getdata" title="numpy.ma.getdata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.getdata</span></code></a>(a[, subok])</p></td>
<td><p>Return the data of a masked array as an ndarray.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.nonzero.html#numpy.ma.nonzero" title="numpy.ma.nonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.nonzero</span></code></a>(self)</p></td>
<td><p>Return the indices of unmasked elements that are not zero.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.shape.html#numpy.ma.shape" title="numpy.ma.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.shape</span></code></a>(obj)</p></td>
<td><p>Return the shape of an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.size.html#numpy.ma.size" title="numpy.ma.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.size</span></code></a>(obj[, axis])</p></td>
<td><p>Return the number of elements along a given axis.</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.is_masked.html#numpy.ma.is_masked" title="numpy.ma.is_masked"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.is_masked</span></code></a>(x)</p></td>
<td><p>Determine whether input has masked values.</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.is_mask.html#numpy.ma.is_mask" title="numpy.ma.is_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.is_mask</span></code></a>(m)</p></td>
<td><p>Return True if m is a valid, standard mask.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.isMaskedArray.html#numpy.ma.isMaskedArray" title="numpy.ma.isMaskedArray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.isMaskedArray</span></code></a>(x)</p></td>
<td><p>Test whether input is an instance of MaskedArray.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.isMA.html#numpy.ma.isMA" title="numpy.ma.isMA"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.isMA</span></code></a>(x)</p></td>
<td><p>Test whether input is an instance of MaskedArray.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.isarray.html#numpy.ma.isarray" title="numpy.ma.isarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.isarray</span></code></a>(x)</p></td>
<td><p>Test whether input is an instance of MaskedArray.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.isin.html#numpy.ma.isin" title="numpy.ma.isin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.isin</span></code></a>(element, test_elements[, ...])</p></td>
<td><p>Calculates <em class="xref py py-obj">element in test_elements</em>, broadcasting over <em class="xref py py-obj">element</em> only.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.in1d.html#numpy.ma.in1d" title="numpy.ma.in1d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.in1d</span></code></a>(ar1, ar2[, assume_unique, invert])</p></td>
<td><p>Test whether each element of an array is also present in a second array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.unique.html#numpy.ma.unique" title="numpy.ma.unique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.unique</span></code></a>(ar1[, return_index, return_inverse])</p></td>
<td><p>Finds the unique elements of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.all.html#numpy.ma.MaskedArray.all" title="numpy.ma.MaskedArray.all"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.all</span></code></a>([axis, out, keepdims])</p></td>
<td><p>Returns True if all elements evaluate to True.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.any.html#numpy.ma.MaskedArray.any" title="numpy.ma.MaskedArray.any"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.any</span></code></a>([axis, out, keepdims])</p></td>
<td><p>Returns True if any of the elements of <em class="xref py py-obj">a</em> evaluate to True.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.count.html#numpy.ma.MaskedArray.count" title="numpy.ma.MaskedArray.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.count</span></code></a>([axis, keepdims])</p></td>
<td><p>Count the non-masked elements of the array along the given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.nonzero.html#numpy.ma.MaskedArray.nonzero" title="numpy.ma.MaskedArray.nonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.nonzero</span></code></a>()</p></td>
<td><p>Return the indices of unmasked elements that are not zero.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.shape.html#numpy.ma.shape" title="numpy.ma.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.shape</span></code></a>(obj)</p></td>
<td><p>Return the shape of an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.size.html#numpy.ma.size" title="numpy.ma.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.size</span></code></a>(obj[, axis])</p></td>
<td><p>Return the number of elements along a given axis.</p></td>
</tr>
</tbody>
</table>
</div>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="maskedarray.baseclass.html#numpy.ma.MaskedArray.data" title="numpy.ma.MaskedArray.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.data</span></code></a></p></td>
<td><p>Returns the underlying data, as a view of the masked array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="maskedarray.baseclass.html#numpy.ma.MaskedArray.mask" title="numpy.ma.MaskedArray.mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.mask</span></code></a></p></td>
<td><p>Current mask.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="maskedarray.baseclass.html#numpy.ma.MaskedArray.recordmask" title="numpy.ma.MaskedArray.recordmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.recordmask</span></code></a></p></td>
<td><p>Get or set the mask of the array if it has no named fields.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<hr class="docutils" />
<section id="manipulating-a-maskedarray">
<h2>Manipulating a MaskedArray<a class="headerlink" href="#manipulating-a-maskedarray" title="Link to this heading">#</a></h2>
<section id="changing-the-shape">
<h3>Changing the shape<a class="headerlink" href="#changing-the-shape" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.ravel.html#numpy.ma.ravel" title="numpy.ma.ravel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.ravel</span></code></a>(self[, order])</p></td>
<td><p>Returns a 1D version of self, as a view.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.reshape.html#numpy.ma.reshape" title="numpy.ma.reshape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.reshape</span></code></a>(a, new_shape[, order])</p></td>
<td><p>Returns an array containing the same data with a new shape.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.resize.html#numpy.ma.resize" title="numpy.ma.resize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.resize</span></code></a>(x, new_shape)</p></td>
<td><p>Return a new masked array with the specified size and shape.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.flatten.html#numpy.ma.MaskedArray.flatten" title="numpy.ma.MaskedArray.flatten"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.flatten</span></code></a>([order])</p></td>
<td><p>Return a copy of the array collapsed into one dimension.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.ravel.html#numpy.ma.MaskedArray.ravel" title="numpy.ma.MaskedArray.ravel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.ravel</span></code></a>([order])</p></td>
<td><p>Returns a 1D version of self, as a view.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.reshape.html#numpy.ma.MaskedArray.reshape" title="numpy.ma.MaskedArray.reshape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.reshape</span></code></a>(*s, **kwargs)</p></td>
<td><p>Give a new shape to the array without changing its data.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.resize.html#numpy.ma.MaskedArray.resize" title="numpy.ma.MaskedArray.resize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.resize</span></code></a>(newshape[, refcheck, ...])</p></td>
<td><p></p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="modifying-axes">
<h3>Modifying axes<a class="headerlink" href="#modifying-axes" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.swapaxes.html#numpy.ma.swapaxes" title="numpy.ma.swapaxes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.swapaxes</span></code></a>(self, *args, ...)</p></td>
<td><p>Return a view of the array with <em class="xref py py-obj">axis1</em> and <em class="xref py py-obj">axis2</em> interchanged.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.transpose.html#numpy.ma.transpose" title="numpy.ma.transpose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.transpose</span></code></a>(a[, axes])</p></td>
<td><p>Permute the dimensions of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.swapaxes.html#numpy.ma.MaskedArray.swapaxes" title="numpy.ma.MaskedArray.swapaxes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.swapaxes</span></code></a>(axis1, axis2)</p></td>
<td><p>Return a view of the array with <em class="xref py py-obj">axis1</em> and <em class="xref py py-obj">axis2</em> interchanged.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.transpose.html#numpy.ma.MaskedArray.transpose" title="numpy.ma.MaskedArray.transpose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.transpose</span></code></a>(*axes)</p></td>
<td><p>Returns a view of the array with axes transposed.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="changing-the-number-of-dimensions">
<h3>Changing the number of dimensions<a class="headerlink" href="#changing-the-number-of-dimensions" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.atleast_1d.html#numpy.ma.atleast_1d" title="numpy.ma.atleast_1d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.atleast_1d</span></code></a></p></td>
<td><p>Convert inputs to arrays with at least one dimension.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.atleast_2d.html#numpy.ma.atleast_2d" title="numpy.ma.atleast_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.atleast_2d</span></code></a></p></td>
<td><p>View inputs as arrays with at least two dimensions.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.atleast_3d.html#numpy.ma.atleast_3d" title="numpy.ma.atleast_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.atleast_3d</span></code></a></p></td>
<td><p>View inputs as arrays with at least three dimensions.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.expand_dims.html#numpy.ma.expand_dims" title="numpy.ma.expand_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.expand_dims</span></code></a>(a, axis)</p></td>
<td><p>Expand the shape of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ma.squeeze.html#numpy.ma.squeeze" title="numpy.ma.squeeze"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.squeeze</span></code></a></p></td>
<td><p>Remove axes of length one from <em class="xref py py-obj">a</em>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ma.MaskedArray.squeeze.html#numpy.ma.MaskedArray.squeeze" title="numpy.ma.MaskedArray.squeeze"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ma.MaskedArray.squeeze</span></code></a>([axis])</p></td>
<td><p>Remove axes of length one from <em class="xref py py-obj">a</em>.</p></td>