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<div class="section" id="nums-numpy">
<h1>nums.numpy<a class="headerlink" href="#nums-numpy" title="Permalink to this headline"></a></h1>
<p>Functions in the <code class="docutils literal notranslate"><span class="pre">nums.numpy</span></code> module.</p>
<div class="section" id="nums-supported-api">
<h2>NumS Supported API<a class="headerlink" href="#nums-supported-api" title="Permalink to this headline"></a></h2>
<table class="longtable table autosummary">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.loadtxt.html#nums.numpy.loadtxt" title="nums.numpy.loadtxt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">loadtxt</span></code></a>(fname[, dtype, comments, delimiter, …])</p></td>
<td><p>Load data from a text file.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.array.html#nums.numpy.array" title="nums.numpy.array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array</span></code></a>(object[, dtype, copy, order, ndmin, subok])</p></td>
<td><p>Creates a BlockArray.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.empty.html#nums.numpy.empty" title="nums.numpy.empty"><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty</span></code></a>(shape[, dtype])</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="reference/generated/nums.numpy.zeros_like.html#nums.numpy.zeros_like" title="nums.numpy.zeros_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros_like</span></code></a>(prototype[, dtype, order, shape])</p></td>
<td><p>Return an array of zeros with the same shape and type as a given array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.ones_like.html#nums.numpy.ones_like" title="nums.numpy.ones_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones_like</span></code></a>(prototype[, dtype, order, shape])</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-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.concatenate.html#nums.numpy.concatenate" title="nums.numpy.concatenate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">concatenate</span></code></a>(arrays[, axis, out])</p></td>
<td><p>Join a sequence of arrays along an existing axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.split.html#nums.numpy.split" title="nums.numpy.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split</span></code></a>(ary, indices_or_sections[, axis])</p></td>
<td><p>Split an array into multiple sub-arrays as views into <cite>ary</cite>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.identity.html#nums.numpy.identity" title="nums.numpy.identity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">identity</span></code></a>(n[, dtype])</p></td>
<td><p>Return the identity array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.eye.html#nums.numpy.eye" title="nums.numpy.eye"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eye</span></code></a>(N[, M, k, dtype])</p></td>
<td><p>Return a 2-D array with ones on the diagonal and zeros elsewhere.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.diag.html#nums.numpy.diag" title="nums.numpy.diag"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diag</span></code></a>(v[, k])</p></td>
<td><p>Extract a diagonal or construct a diagonal array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.trace.html#nums.numpy.trace" title="nums.numpy.trace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trace</span></code></a>(a[, offset, axis1, axis2, dtype, out])</p></td>
<td><p>Return the sum along diagonals of the array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.atleast_1d.html#nums.numpy.atleast_1d" title="nums.numpy.atleast_1d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">atleast_1d</span></code></a>(*arys)</p></td>
<td><p>Convert inputs to arrays with at least one dimension.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.atleast_2d.html#nums.numpy.atleast_2d" title="nums.numpy.atleast_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">atleast_2d</span></code></a>(*arys)</p></td>
<td><p>View inputs as arrays with at least two dimensions.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.atleast_3d.html#nums.numpy.atleast_3d" title="nums.numpy.atleast_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">atleast_3d</span></code></a>(*arys)</p></td>
<td><p>View inputs as arrays with at least three dimensions.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.hstack.html#nums.numpy.hstack" title="nums.numpy.hstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hstack</span></code></a>(tup)</p></td>
<td><p>Stack arrays in sequence horizontally (column wise).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.vstack.html#nums.numpy.vstack" title="nums.numpy.vstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vstack</span></code></a>(tup)</p></td>
<td><p>Stack arrays in sequence vertically (row wise).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.dstack.html#nums.numpy.dstack" title="nums.numpy.dstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dstack</span></code></a>(tup)</p></td>
<td><p>Stack arrays in sequence depth wise (along third axis).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.row_stack.html#nums.numpy.row_stack" title="nums.numpy.row_stack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">row_stack</span></code></a>(tup)</p></td>
<td><p>Stack arrays in sequence vertically (row wise).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.column_stack.html#nums.numpy.column_stack" title="nums.numpy.column_stack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">column_stack</span></code></a>(tup)</p></td>
<td><p>Stack 1-D arrays as columns into a 2-D array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arange.html#nums.numpy.arange" title="nums.numpy.arange"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arange</span></code></a>([start, stop, step, dtype])</p></td>
<td><p>Return evenly spaced values within a given interval.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.linspace.html#nums.numpy.linspace" title="nums.numpy.linspace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">linspace</span></code></a>(start, stop[, num, endpoint, …])</p></td>
<td><p>Return evenly spaced numbers over a specified interval.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logspace.html#nums.numpy.logspace" title="nums.numpy.logspace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logspace</span></code></a>(start, stop[, num, endpoint, base, …])</p></td>
<td><p>Return numbers spaced evenly on a log scale.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.tensordot.html#nums.numpy.tensordot" title="nums.numpy.tensordot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tensordot</span></code></a>(x1, x2[, axes])</p></td>
<td><p>Compute tensor dot product along specified axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.matmul.html#nums.numpy.matmul" title="nums.numpy.matmul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matmul</span></code></a>(x1, x2)</p></td>
<td><p>Matrix product of two arrays.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.inner.html#nums.numpy.inner" title="nums.numpy.inner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inner</span></code></a>(a, b)</p></td>
<td><p>Inner product of two arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.outer.html#nums.numpy.outer" title="nums.numpy.outer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">outer</span></code></a>(a, b)</p></td>
<td><p>Compute the outer product of two vectors.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.dot.html#nums.numpy.dot" title="nums.numpy.dot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dot</span></code></a>(a, b[, out])</p></td>
<td><p>Dot product of two arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.shape.html#nums.numpy.shape" title="nums.numpy.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a>(a)</p></td>
<td><p>Return the shape of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.size.html#nums.numpy.size" title="nums.numpy.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">size</span></code></a>(a)</p></td>
<td><p>Return the number of elements along a given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.ndim.html#nums.numpy.ndim" title="nums.numpy.ndim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ndim</span></code></a>(a)</p></td>
<td><p>Return the number of dimensions of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.reshape.html#nums.numpy.reshape" title="nums.numpy.reshape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reshape</span></code></a>(a, shape)</p></td>
<td><p>Gives a new shape to an array without changing its data.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.expand_dims.html#nums.numpy.expand_dims" title="nums.numpy.expand_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">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="reference/generated/nums.numpy.squeeze.html#nums.numpy.squeeze" title="nums.numpy.squeeze"><code class="xref py py-obj docutils literal notranslate"><span class="pre">squeeze</span></code></a>(a[, axis])</p></td>
<td><p>Remove single-dimensional entries from the shape of an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.swapaxes.html#nums.numpy.swapaxes" title="nums.numpy.swapaxes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swapaxes</span></code></a>(a, axis1, axis2)</p></td>
<td><p>Interchange two axes of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.transpose.html#nums.numpy.transpose" title="nums.numpy.transpose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transpose</span></code></a>(a[, axes])</p></td>
<td><p>Reverse or permute the axes of an array; returns the modified array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.copy.html#nums.numpy.copy" title="nums.numpy.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code></a>(a[, order, subok])</p></td>
<td><p>Return an array copy of the given object.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.min.html#nums.numpy.min" title="nums.numpy.min"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code></a>(a[, axis, out, keepdims, initial, where])</p></td>
<td><p>Return the minimum of an array or minimum along an axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.max.html#nums.numpy.max" title="nums.numpy.max"><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code></a>(a[, axis, out, keepdims, initial, where])</p></td>
<td><p>Return the maximum of an array or maximum along an axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.argmin.html#nums.numpy.argmin" title="nums.numpy.argmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmin</span></code></a>(a[, axis, out])</p></td>
<td><p>Returns the indices of the minimum values along an axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.argmax.html#nums.numpy.argmax" title="nums.numpy.argmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmax</span></code></a>(a[, axis, out])</p></td>
<td><p>Returns the indices of the maximum values along an axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.sum.html#nums.numpy.sum" title="nums.numpy.sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sum</span></code></a>(a[, axis, dtype, out, keepdims, …])</p></td>
<td><p>Sum of array elements over a given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.mean.html#nums.numpy.mean" title="nums.numpy.mean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code></a>(a[, axis, dtype, out, keepdims])</p></td>
<td><p>Compute the arithmetic mean along the specified axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.var.html#nums.numpy.var" title="nums.numpy.var"><code class="xref py py-obj docutils literal notranslate"><span class="pre">var</span></code></a>(a[, axis, dtype, out, ddof, keepdims])</p></td>
<td><p>Compute the variance along the specified axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.std.html#nums.numpy.std" title="nums.numpy.std"><code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code></a>(a[, axis, dtype, out, ddof, keepdims])</p></td>
<td><p>Compute the standard deviation along the specified axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.where.html#nums.numpy.where" title="nums.numpy.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>(condition[, x, y])</p></td>
<td><p>Return elements chosen from <cite>x</cite> or <cite>y</cite> depending on <cite>condition</cite>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.all.html#nums.numpy.all" title="nums.numpy.all"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all</span></code></a>(a[, axis, out, keepdims])</p></td>
<td><p>Test whether all array elements along a given axis evaluate to True.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.alltrue.html#nums.numpy.alltrue" title="nums.numpy.alltrue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">alltrue</span></code></a>(a[, axis, out, dtype, keepdims])</p></td>
<td><p>Check if all elements of input array are true.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.any.html#nums.numpy.any" title="nums.numpy.any"><code class="xref py py-obj docutils literal notranslate"><span class="pre">any</span></code></a>(a[, axis, out, keepdims])</p></td>
<td><p>Test whether any array element along a given axis evaluates to True.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.average.html#nums.numpy.average" title="nums.numpy.average"><code class="xref py py-obj docutils literal notranslate"><span class="pre">average</span></code></a>(a[, axis, weights, returned])</p></td>
<td><p>Compute the weighted average along the specified axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.median.html#nums.numpy.median" title="nums.numpy.median"><code class="xref py py-obj docutils literal notranslate"><span class="pre">median</span></code></a>(a[, axis, out, keepdims])</p></td>
<td><p>Compute the median along the specified axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nanmax.html#nums.numpy.nanmax" title="nums.numpy.nanmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanmax</span></code></a>(a[, axis, out, keepdims])</p></td>
<td><p>Return the maximum of an array or maximum along an axis, ignoring any NaNs.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nanmin.html#nums.numpy.nanmin" title="nums.numpy.nanmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanmin</span></code></a>(a[, axis, out, keepdims])</p></td>
<td><p>Return minimum of an array or minimum along an axis, ignoring any NaNs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nansum.html#nums.numpy.nansum" title="nums.numpy.nansum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nansum</span></code></a>(a[, axis, dtype, out, keepdims])</p></td>
<td><p>Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nanmean.html#nums.numpy.nanmean" title="nums.numpy.nanmean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanmean</span></code></a>(a[, axis, dtype, out, keepdims])</p></td>
<td><p>Compute the arithmetic mean along the specified axis, ignoring NaNs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nanvar.html#nums.numpy.nanvar" title="nums.numpy.nanvar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanvar</span></code></a>(a[, axis, dtype, out, ddof, keepdims])</p></td>
<td><p>Compute the variance along the specified axis, while ignoring NaNs.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nanstd.html#nums.numpy.nanstd" title="nums.numpy.nanstd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nanstd</span></code></a>(a[, axis, dtype, out, ddof, keepdims])</p></td>
<td><p>Compute the standard deviation along the specified axis, while ignoring NaNs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.array_equal.html#nums.numpy.array_equal" title="nums.numpy.array_equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array_equal</span></code></a>(a, b[, equal_nan])</p></td>
<td><p>True if two arrays have the same shape and elements, False otherwise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.array_equiv.html#nums.numpy.array_equiv" title="nums.numpy.array_equiv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array_equiv</span></code></a>(a, b)</p></td>
<td><p>Returns True if input arrays are shape consistent and all elements equal.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.allclose.html#nums.numpy.allclose" title="nums.numpy.allclose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">allclose</span></code></a>(a, b[, rtol, atol, equal_nan])</p></td>
<td><p>Returns True if two arrays are element-wise equal within a tolerance.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.abs.html#nums.numpy.abs" title="nums.numpy.abs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">abs</span></code></a>(x[, out, where])</p></td>
<td><p>Calculate the absolute value element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.absolute.html#nums.numpy.absolute" title="nums.numpy.absolute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">absolute</span></code></a>(x[, out, where])</p></td>
<td><p>Calculate the absolute value element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arccos.html#nums.numpy.arccos" title="nums.numpy.arccos"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arccos</span></code></a>(x[, out, where])</p></td>
<td><p>Trigonometric inverse cosine, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arccosh.html#nums.numpy.arccosh" title="nums.numpy.arccosh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arccosh</span></code></a>(x[, out, where])</p></td>
<td><p>Inverse hyperbolic cosine, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arcsin.html#nums.numpy.arcsin" title="nums.numpy.arcsin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arcsin</span></code></a>(x[, out, where])</p></td>
<td><p>Inverse sine, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arcsinh.html#nums.numpy.arcsinh" title="nums.numpy.arcsinh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arcsinh</span></code></a>(x[, out, where])</p></td>
<td><p>Inverse hyperbolic sine element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arctan.html#nums.numpy.arctan" title="nums.numpy.arctan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arctan</span></code></a>(x[, out, where])</p></td>
<td><p>Trigonometric inverse tangent, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arctanh.html#nums.numpy.arctanh" title="nums.numpy.arctanh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arctanh</span></code></a>(x[, out, where])</p></td>
<td><p>Inverse hyperbolic tangent element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.bitwise_not.html#nums.numpy.bitwise_not" title="nums.numpy.bitwise_not"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitwise_not</span></code></a>(x[, out, where])</p></td>
<td><p>Compute bit-wise inversion, or bit-wise NOT, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.cbrt.html#nums.numpy.cbrt" title="nums.numpy.cbrt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cbrt</span></code></a>(x[, out, where])</p></td>
<td><p>Return the cube-root of an array, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.ceil.html#nums.numpy.ceil" title="nums.numpy.ceil"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ceil</span></code></a>(x[, out, where])</p></td>
<td><p>Return the ceiling of the input, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.conj.html#nums.numpy.conj" title="nums.numpy.conj"><code class="xref py py-obj docutils literal notranslate"><span class="pre">conj</span></code></a>(x[, out, where])</p></td>
<td><p>Return the complex conjugate, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.conjugate.html#nums.numpy.conjugate" title="nums.numpy.conjugate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">conjugate</span></code></a>(x[, out, where])</p></td>
<td><p>Return the complex conjugate, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.cos.html#nums.numpy.cos" title="nums.numpy.cos"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cos</span></code></a>(x[, out, where])</p></td>
<td><p>Cosine element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.cosh.html#nums.numpy.cosh" title="nums.numpy.cosh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cosh</span></code></a>(x[, out, where])</p></td>
<td><p>Hyperbolic cosine, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.deg2rad.html#nums.numpy.deg2rad" title="nums.numpy.deg2rad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">deg2rad</span></code></a>(x[, out, where])</p></td>
<td><p>Convert angles from degrees to radians.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.degrees.html#nums.numpy.degrees" title="nums.numpy.degrees"><code class="xref py py-obj docutils literal notranslate"><span class="pre">degrees</span></code></a>(x[, out, where])</p></td>
<td><p>Convert angles from radians to degrees.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.exp.html#nums.numpy.exp" title="nums.numpy.exp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">exp</span></code></a>(x[, out, where])</p></td>
<td><p>Calculate the exponential of all elements in the input array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.exp2.html#nums.numpy.exp2" title="nums.numpy.exp2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">exp2</span></code></a>(x[, out, where])</p></td>
<td><p>Calculate <cite>2**p</cite> for all <cite>p</cite> in the input array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.expm1.html#nums.numpy.expm1" title="nums.numpy.expm1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">expm1</span></code></a>(x[, out, where])</p></td>
<td><p>Calculate <code class="docutils literal notranslate"><span class="pre">exp(x)</span> <span class="pre">-</span> <span class="pre">1</span></code> for all elements in the array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.fabs.html#nums.numpy.fabs" title="nums.numpy.fabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fabs</span></code></a>(x[, out, where])</p></td>
<td><p>Compute the absolute values element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.floor.html#nums.numpy.floor" title="nums.numpy.floor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">floor</span></code></a>(x[, out, where])</p></td>
<td><p>Return the floor of the input, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.invert.html#nums.numpy.invert" title="nums.numpy.invert"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert</span></code></a>(x[, out, where])</p></td>
<td><p>Compute bit-wise inversion, or bit-wise NOT, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.isfinite.html#nums.numpy.isfinite" title="nums.numpy.isfinite"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isfinite</span></code></a>(x[, out, where])</p></td>
<td><p>Test element-wise for finiteness (not infinity or not Not a Number).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.isinf.html#nums.numpy.isinf" title="nums.numpy.isinf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isinf</span></code></a>(x[, out, where])</p></td>
<td><p>Test element-wise for positive or negative infinity.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.isnan.html#nums.numpy.isnan" title="nums.numpy.isnan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isnan</span></code></a>(x[, out, where])</p></td>
<td><p>Test element-wise for NaN and return result as a boolean array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.log.html#nums.numpy.log" title="nums.numpy.log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log</span></code></a>(x[, out, where])</p></td>
<td><p>Natural logarithm, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.log10.html#nums.numpy.log10" title="nums.numpy.log10"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log10</span></code></a>(x[, out, where])</p></td>
<td><p>Return the base 10 logarithm of the input array, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.log1p.html#nums.numpy.log1p" title="nums.numpy.log1p"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log1p</span></code></a>(x[, out, where])</p></td>
<td><p>Return the natural logarithm of one plus the input array, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.log2.html#nums.numpy.log2" title="nums.numpy.log2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log2</span></code></a>(x[, out, where])</p></td>
<td><p>Base-2 logarithm of <cite>x</cite>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logical_not.html#nums.numpy.logical_not" title="nums.numpy.logical_not"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_not</span></code></a>(x[, out, where])</p></td>
<td><p>Compute the truth value of NOT x element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.negative.html#nums.numpy.negative" title="nums.numpy.negative"><code class="xref py py-obj docutils literal notranslate"><span class="pre">negative</span></code></a>(x[, out, where])</p></td>
<td><p>Numerical negative, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.positive.html#nums.numpy.positive" title="nums.numpy.positive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">positive</span></code></a>(x[, out, where])</p></td>
<td><p>Numerical positive, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.radians.html#nums.numpy.radians" title="nums.numpy.radians"><code class="xref py py-obj docutils literal notranslate"><span class="pre">radians</span></code></a>(x[, out, where])</p></td>
<td><p>Convert angles from degrees to radians.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.reciprocal.html#nums.numpy.reciprocal" title="nums.numpy.reciprocal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reciprocal</span></code></a>(x[, out, where])</p></td>
<td><p>Return the reciprocal of the argument, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.rint.html#nums.numpy.rint" title="nums.numpy.rint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rint</span></code></a>(x[, out, where])</p></td>
<td><p>Round elements of the array to the nearest integer.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.sign.html#nums.numpy.sign" title="nums.numpy.sign"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sign</span></code></a>(x[, out, where])</p></td>
<td><p>Returns an element-wise indication of the sign of a number.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.signbit.html#nums.numpy.signbit" title="nums.numpy.signbit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">signbit</span></code></a>(x[, out, where])</p></td>
<td><p>Returns element-wise True where signbit is set (less than zero).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.sin.html#nums.numpy.sin" title="nums.numpy.sin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sin</span></code></a>(x[, out, where])</p></td>
<td><p>Trigonometric sine, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.sinh.html#nums.numpy.sinh" title="nums.numpy.sinh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sinh</span></code></a>(x[, out, where])</p></td>
<td><p>Hyperbolic sine, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.spacing.html#nums.numpy.spacing" title="nums.numpy.spacing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spacing</span></code></a>(x[, out, where])</p></td>
<td><p>Return the distance between x and the nearest adjacent number.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.sqrt.html#nums.numpy.sqrt" title="nums.numpy.sqrt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sqrt</span></code></a>(x[, out, where])</p></td>
<td><p>Return the non-negative square-root of an array, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.square.html#nums.numpy.square" title="nums.numpy.square"><code class="xref py py-obj docutils literal notranslate"><span class="pre">square</span></code></a>(x[, out, where])</p></td>
<td><p>Return the element-wise square of the input.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.tan.html#nums.numpy.tan" title="nums.numpy.tan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tan</span></code></a>(x[, out, where])</p></td>
<td><p>Compute tangent element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.tanh.html#nums.numpy.tanh" title="nums.numpy.tanh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tanh</span></code></a>(x[, out, where])</p></td>
<td><p>Compute hyperbolic tangent element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.trunc.html#nums.numpy.trunc" title="nums.numpy.trunc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trunc</span></code></a>(x[, out, where])</p></td>
<td><p>Return the truncated value of the input, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.add.html#nums.numpy.add" title="nums.numpy.add"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Add arguments element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.arctan2.html#nums.numpy.arctan2" title="nums.numpy.arctan2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">arctan2</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Element-wise arc tangent of <code class="docutils literal notranslate"><span class="pre">x1/x2</span></code> choosing the quadrant correctly.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.bitwise_and.html#nums.numpy.bitwise_and" title="nums.numpy.bitwise_and"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitwise_and</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the bit-wise AND of two arrays element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.bitwise_or.html#nums.numpy.bitwise_or" title="nums.numpy.bitwise_or"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitwise_or</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the bit-wise OR of two arrays element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.bitwise_xor.html#nums.numpy.bitwise_xor" title="nums.numpy.bitwise_xor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitwise_xor</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the bit-wise XOR of two arrays element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.copysign.html#nums.numpy.copysign" title="nums.numpy.copysign"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copysign</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Change the sign of x1 to that of x2, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.divide.html#nums.numpy.divide" title="nums.numpy.divide"><code class="xref py py-obj docutils literal notranslate"><span class="pre">divide</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Returns a true division of the inputs, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.equal.html#nums.numpy.equal" title="nums.numpy.equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">equal</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return (x1 == x2) element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.float_power.html#nums.numpy.float_power" title="nums.numpy.float_power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float_power</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>First array elements raised to powers from second array, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.floor_divide.html#nums.numpy.floor_divide" title="nums.numpy.floor_divide"><code class="xref py py-obj docutils literal notranslate"><span class="pre">floor_divide</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the largest integer smaller or equal to the division of the inputs.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.fmax.html#nums.numpy.fmax" title="nums.numpy.fmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fmax</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Element-wise maximum of array elements.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.fmin.html#nums.numpy.fmin" title="nums.numpy.fmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fmin</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Element-wise minimum of array elements.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.fmod.html#nums.numpy.fmod" title="nums.numpy.fmod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fmod</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the element-wise remainder of division.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.greater.html#nums.numpy.greater" title="nums.numpy.greater"><code class="xref py py-obj docutils literal notranslate"><span class="pre">greater</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the truth value of (x1 > x2) element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.greater_equal.html#nums.numpy.greater_equal" title="nums.numpy.greater_equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">greater_equal</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the truth value of (x1 >= x2) element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.heaviside.html#nums.numpy.heaviside" title="nums.numpy.heaviside"><code class="xref py py-obj docutils literal notranslate"><span class="pre">heaviside</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the Heaviside step function.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.hypot.html#nums.numpy.hypot" title="nums.numpy.hypot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hypot</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Given the “legs” of a right triangle, return its hypotenuse.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.lcm.html#nums.numpy.lcm" title="nums.numpy.lcm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lcm</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>This docstring was copied from numpy.lcm.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.ldexp.html#nums.numpy.ldexp" title="nums.numpy.ldexp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ldexp</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Returns x1 * 2**x2, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.left_shift.html#nums.numpy.left_shift" title="nums.numpy.left_shift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">left_shift</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Shift the bits of an integer to the left.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.less.html#nums.numpy.less" title="nums.numpy.less"><code class="xref py py-obj docutils literal notranslate"><span class="pre">less</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the truth value of (x1 < x2) element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.less_equal.html#nums.numpy.less_equal" title="nums.numpy.less_equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">less_equal</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the truth value of (x1 =< x2) element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logaddexp.html#nums.numpy.logaddexp" title="nums.numpy.logaddexp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logaddexp</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Logarithm of the sum of exponentiations of the inputs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logaddexp2.html#nums.numpy.logaddexp2" title="nums.numpy.logaddexp2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logaddexp2</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Logarithm of the sum of exponentiations of the inputs in base-2.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logical_and.html#nums.numpy.logical_and" title="nums.numpy.logical_and"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_and</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the truth value of x1 AND x2 element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logical_or.html#nums.numpy.logical_or" title="nums.numpy.logical_or"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_or</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the truth value of x1 OR x2 element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.logical_xor.html#nums.numpy.logical_xor" title="nums.numpy.logical_xor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_xor</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Compute the truth value of x1 XOR x2, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.maximum.html#nums.numpy.maximum" title="nums.numpy.maximum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maximum</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Element-wise maximum of array elements.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.minimum.html#nums.numpy.minimum" title="nums.numpy.minimum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minimum</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Element-wise minimum of array elements.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.mod.html#nums.numpy.mod" title="nums.numpy.mod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mod</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return element-wise remainder of division.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.multiply.html#nums.numpy.multiply" title="nums.numpy.multiply"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multiply</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Multiply arguments element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.nextafter.html#nums.numpy.nextafter" title="nums.numpy.nextafter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nextafter</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return the next floating-point value after x1 towards x2, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.not_equal.html#nums.numpy.not_equal" title="nums.numpy.not_equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">not_equal</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>This docstring was copied from numpy.not_equal.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.power.html#nums.numpy.power" title="nums.numpy.power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">power</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>First array elements raised to powers from second array, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.remainder.html#nums.numpy.remainder" title="nums.numpy.remainder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">remainder</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Return element-wise remainder of division.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.right_shift.html#nums.numpy.right_shift" title="nums.numpy.right_shift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">right_shift</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Shift the bits of an integer to the right.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.subtract.html#nums.numpy.subtract" title="nums.numpy.subtract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">subtract</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Subtract arguments, element-wise.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.true_divide.html#nums.numpy.true_divide" title="nums.numpy.true_divide"><code class="xref py py-obj docutils literal notranslate"><span class="pre">true_divide</span></code></a>(x1, x2[, out, where])</p></td>
<td><p>Returns a true division of the inputs, element-wise.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.diag.html#nums.numpy.diag" title="nums.numpy.diag"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diag</span></code></a>(v[, k])</p></td>
<td><p>Extract a diagonal or construct a diagonal array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reference/generated/nums.numpy.ones.html#nums.numpy.ones" title="nums.numpy.ones"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones</span></code></a>(shape[, dtype])</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="reference/generated/nums.numpy.empty_like.html#nums.numpy.empty_like" title="nums.numpy.empty_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty_like</span></code></a>(prototype[, dtype, order, shape])</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="reference/generated/nums.numpy.trace.html#nums.numpy.trace" title="nums.numpy.trace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trace</span></code></a>(a[, offset, axis1, axis2, dtype, out])</p></td>
<td><p>Return the sum along diagonals of the array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="reference/generated/nums.numpy.top_k.html#nums.numpy.top_k" title="nums.numpy.top_k"><code class="xref py py-obj docutils literal notranslate"><span class="pre">top_k</span></code></a>(a, k[, largest, sorted])</p></td>
<td><p>Find the <cite>k</cite> largest or smallest elements of a BlockArray.</p></td>
</tr>
</tbody>
</table>
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