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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="Array API comparison" />
<meta name="keywords" content="pydata numpy numerical array library apis comparison" />
<meta name="author" content="Quansight" />
<title>Non-Universal Methods</title>
<link rel="stylesheet" type="text/css" href="css/normalize.css" />
<link rel="stylesheet" type="text/css" href="css/main.css" />
</head>
<body>
<div class="container">
<header>
<h1>Non-Universal Methods</h1>
</header>
<div class="component">
<table>
<thead>
<tr>
<th>numpy</th>
<th>cupy</th>
<th>dask.array</th>
<th>jax</th>
<th>mxnet</th>
<th>pytorch</th>
<th>tensorflow</th>
</tr>
</thead>
<tbody>
<tr>
<th>numpy.ndarray.T</th>
<td>T</td>
<td>T</td>
<td>T</td>
<td>T</td>
<td>T</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__and__</th>
<td>__and__</td>
<td>__and__</td>
<td>__and__</td>
<td></td>
<td>__and__</td>
<td>__and__</td>
</tr>
<tr>
<th>numpy.ndarray.__array__</th>
<td></td>
<td>__array__</td>
<td>__array__</td>
<td></td>
<td>__array__</td>
<td>__array__</td>
</tr>
<tr>
<th>numpy.ndarray.__array_finalize__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__array_function__</th>
<td></td>
<td>__array_function__</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__array_interface__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__array_prepare__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__array_priority__</th>
<td></td>
<td>__array_priority__</td>
<td>__array_priority__</td>
<td>__array_priority__</td>
<td>__array_priority__</td>
<td>__array_priority__</td>
</tr>
<tr>
<th>numpy.ndarray.__array_struct__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__array_ufunc__</th>
<td></td>
<td>__array_ufunc__</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__array_wrap__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td>__array_wrap__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__bool__</th>
<td></td>
<td>__bool__</td>
<td>__bool__</td>
<td>__bool__</td>
<td>__bool__</td>
<td>__bool__</td>
</tr>
<tr>
<th>numpy.ndarray.__class__</th>
<td></td>
<td>__clas__</td>
<td>__class__</td>
<td>__class__</td>
<td>__class__</td>
<td>__clas__</td>
</tr>
<tr>
<th>numpy.ndarray.__complex__</th>
<td>__complex__</td>
<td>__complex__</td>
<td>__complex__</td>
<td></td>
<td></td>
<td>__complex__</td>
</tr>
<tr>
<th>numpy.ndarray.__contains__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td>__contains__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__copy__</th>
<td>__copy__</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>__copy__</td>
</tr>
<tr>
<th>numpy.ndarray.__deepcopy__</th>
<td>__deepcopy__</td>
<td>__deepcopy__</td>
<td></td>
<td></td>
<td>__deepcopy__</td>
<td>__deepcopy__</td>
</tr>
<tr>
<th>numpy.ndarray.__delattr__</th>
<td></td>
<td>__delattr__</td>
<td>__delattr__</td>
<td>__delattr__</td>
<td>__delattr__</td>
<td>__delattr__</td>
</tr>
<tr>
<th>numpy.ndarray.__delitem__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td>__delitem__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__dir__</th>
<td></td>
<td>__dir__</td>
<td>__dir__</td>
<td>__dir__</td>
<td>__dir__</td>
<td>__dir__</td>
</tr>
<tr>
<th>numpy.ndarray.__divmod__</th>
<td>__divmod__</td>
<td>__divmod__</td>
<td>__divmod__</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__doc__</th>
<td></td>
<td>__doc__</td>
<td>__doc__</td>
<td>__doc__</td>
<td>__doc__</td>
<td>__doc__</td>
</tr>
<tr>
<th>numpy.ndarray.__float__</th>
<td>__float__</td>
<td>__float__</td>
<td>__float__</td>
<td></td>
<td>__float__</td>
<td>__float__</td>
</tr>
<tr>
<th>numpy.ndarray.__floordiv__</th>
<td>__floordiv__</td>
<td>__floordiv__</td>
<td>__floordiv__</td>
<td></td>
<td>__floordiv__</td>
<td>__floordiv__</td>
</tr>
<tr>
<th>numpy.ndarray.__format__</th>
<td></td>
<td>__format__</td>
<td>__format__</td>
<td>__format__</td>
<td>__format__</td>
<td>__format__</td>
</tr>
<tr>
<th>numpy.ndarray.__getattribute__</th>
<td></td>
<td></td>
<td>__getattribute__</td>
<td>__getattribute__</td>
<td>__getattribute__</td>
<td>__getattribute__</td>
</tr>
<tr>
<th>numpy.ndarray.__hash__</th>
<td></td>
<td>__hash__</td>
<td>__hash__</td>
<td>__hash__</td>
<td>__hash__</td>
<td>__hash__</td>
</tr>
<tr>
<th>numpy.ndarray.__iadd__</th>
<td>__iadd__</td>
<td></td>
<td></td>
<td>__iadd__</td>
<td>__iadd__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__iand__</th>
<td>__iand__</td>
<td></td>
<td></td>
<td></td>
<td>__iand__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__ifloordiv__</th>
<td>__ifloordiv__</td>
<td></td>
<td></td>
<td></td>
<td>__ifloordiv__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__ilshift__</th>
<td>__ilshift__</td>
<td></td>
<td></td>
<td></td>
<td>__ilshift__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__imatmul__</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__imod__</th>
<td>__imod__</td>
<td></td>
<td></td>
<td>__imod__</td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__imul__</th>
<td>__imul__</td>
<td></td>
<td></td>
<td>__imul__</td>
<td>__imul__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__index__</th>
<td></td>
<td></td>
<td>__index__</td>
<td></td>
<td>__index__</td>
<td>__index__</td>
</tr>
<tr>
<th>numpy.ndarray.__init__</th>
<td></td>
<td>__init__</td>
<td>__init__</td>
<td>__init__</td>
<td>__init__</td>
<td>__init__</td>
</tr>
<tr>
<th>numpy.ndarray.__init_subclass__</th>
<td></td>
<td>__init_subclass__</td>
<td>__init_subclass__</td>
<td>__init_subclass__</td>
<td>__init_subclass__</td>
<td>__init_subclass__</td>
</tr>
<tr>
<th>numpy.ndarray.__int__</th>
<td>__int__</td>
<td>__int__</td>
<td>__int__</td>
<td></td>
<td>__int__</td>
<td>__int__</td>
</tr>
<tr>
<th>numpy.ndarray.__invert__</th>
<td>__invert__</td>
<td>__invert__</td>
<td>__invert__</td>
<td></td>
<td>__invert__</td>
<td>__invert__</td>
</tr>
<tr>
<th>numpy.ndarray.__ior__</th>
<td>__ior__</td>
<td></td>
<td></td>
<td></td>
<td>__ior__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__ipow__</th>
<td>__ipow__</td>
<td></td>
<td></td>
<td></td>
<td>__ipow__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__irshift__</th>
<td>__irshift__</td>
<td></td>
<td></td>
<td></td>
<td>__irshift__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__isub__</th>
<td>__isub__</td>
<td></td>
<td></td>
<td>__isub__</td>
<td>__isub__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__iter__</th>
<td>__iter__</td>
<td></td>
<td>__iter__</td>
<td></td>
<td>__iter__</td>
<td>__iter__</td>
</tr>
<tr>
<th>numpy.ndarray.__itruediv__</th>
<td>__itruediv__</td>
<td></td>
<td></td>
<td>__itruediv__</td>
<td>__itruediv__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__ixor__</th>
<td>__ixor__</td>
<td></td>
<td></td>
<td></td>
<td>__ixor__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__lshift__</th>
<td>__lshift__</td>
<td>__lshift__</td>
<td>__lshift__</td>
<td></td>
<td>__lshift__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__matmul__</th>
<td>__matmul__</td>
<td>__matmul__</td>
<td>__matmul__</td>
<td></td>
<td>__matmul__</td>
<td>__matmul__</td>
</tr>
<tr>
<th>numpy.ndarray.__new__</th>
<td></td>
<td>__new__</td>
<td>__new__</td>
<td>__new__</td>
<td>__new__</td>
<td>__new__</td>
</tr>
<tr>
<th>numpy.ndarray.__or__</th>
<td>__or__</td>
<td>__or__</td>
<td>__or__</td>
<td></td>
<td>__or__</td>
<td>__or__</td>
</tr>
<tr>
<th>numpy.ndarray.__pos__</th>
<td>__pos__</td>
<td>__pos__</td>
<td>__pos__</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__radd__</th>
<td></td>
<td>__radd__</td>
<td>__radd__</td>
<td>__radd__</td>
<td>__radd__</td>
<td>__radd__</td>
</tr>
<tr>
<th>numpy.ndarray.__rand__</th>
<td></td>
<td>__rand__</td>
<td>__rand__</td>
<td></td>
<td></td>
<td>__rand__</td>
</tr>
<tr>
<th>numpy.ndarray.__rdivmod__</th>
<td></td>
<td>__rdivmod__</td>
<td>__rdivmod__</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__reduce__</th>
<td></td>
<td>__reduce__</td>
<td>__reduce__</td>
<td>__reduce__</td>
<td>__reduce__</td>
<td>__reduce__</td>
</tr>
<tr>
<th>numpy.ndarray.__reduce_ex__</th>
<td></td>
<td>__reduce_ex__</td>
<td></td>
<td>__reduce_ex__</td>
<td>__reduce_ex__</td>
<td>__reduce_ex__</td>
</tr>
<tr>
<th>numpy.ndarray.__rfloordiv__</th>
<td></td>
<td>__rfloordiv__</td>
<td>__rfloordiv__</td>
<td></td>
<td>__rfloordiv__</td>
<td>__rfloordiv__</td>
</tr>
<tr>
<th>numpy.ndarray.__rlshift__</th>
<td></td>
<td>__rlshift__</td>
<td>__rlshift__</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__rmatmul__</th>
<td></td>
<td>__rmatmul__</td>
<td>__rmatmul__</td>
<td></td>
<td></td>
<td>__rmatmul__</td>
</tr>
<tr>
<th>numpy.ndarray.__rmod__</th>
<td></td>
<td>__rmod__</td>
<td>__rmod__</td>
<td>__rmod__</td>
<td></td>
<td>__rmod__</td>
</tr>
<tr>
<th>numpy.ndarray.__rmul__</th>
<td></td>
<td>__rmul__</td>
<td>__rmul__</td>
<td>__rmul__</td>
<td>__rmul__</td>
<td>__rmul__</td>
</tr>
<tr>
<th>numpy.ndarray.__ror__</th>
<td></td>
<td>__ror__</td>
<td>__ror__</td>
<td></td>
<td></td>
<td>__ror__</td>
</tr>
<tr>
<th>numpy.ndarray.__rpow__</th>
<td></td>
<td>__rpow__</td>
<td>__rpow__</td>
<td>__rpow__</td>
<td>__rpow__</td>
<td>__rpow__</td>
</tr>
<tr>
<th>numpy.ndarray.__rrshift__</th>
<td></td>
<td>__rrshift__</td>
<td>__rrshift__</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__rshift__</th>
<td>__rshift__</td>
<td>__rshift__</td>
<td>__rshift__</td>
<td></td>
<td>__rshift__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__rsub__</th>
<td></td>
<td>__rsub__</td>
<td>__rsub__</td>
<td>__rsub__</td>
<td>__rsub__</td>
<td>__rsub__</td>
</tr>
<tr>
<th>numpy.ndarray.__rtruediv__</th>
<td></td>
<td>__rtruediv__</td>
<td>__rtruediv__</td>
<td>__rtruediv__</td>
<td>__rtruediv__</td>
<td>__rtruediv__</td>
</tr>
<tr>
<th>numpy.ndarray.__rxor__</th>
<td></td>
<td>__rxor__</td>
<td>__rxor__</td>
<td></td>
<td></td>
<td>__rxor__</td>
</tr>
<tr>
<th>numpy.ndarray.__setattr__</th>
<td></td>
<td>__setattr__</td>
<td></td>
<td>__setattr__</td>
<td>__setattr__</td>
<td>__setattr__</td>
</tr>
<tr>
<th>numpy.ndarray.__setitem__</th>
<td>__setitem__</td>
<td>__setitem__</td>
<td>__setitem__</td>
<td>__setitem__</td>
<td>__setitem__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__setstate__</th>
<td></td>
<td></td>
<td></td>
<td>__setstate__</td>
<td>__setstate__</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.__sizeof__</th>
<td></td>
<td>__sizeof__</td>
<td>__sizeof__</td>
<td>__sizeof__</td>
<td>__sizeof__</td>
<td>__sizeof__</td>
</tr>
<tr>
<th>numpy.ndarray.__subclasshook__</th>
<td></td>
<td>__subclasshook__</td>
<td>__subclasshook__</td>
<td>__subclasshook__</td>
<td>__subclasshook__</td>
<td>__subclasshook__</td>
</tr>
<tr>
<th>numpy.ndarray.__xor__</th>
<td>__xor__</td>
<td>__xor__</td>
<td>__xor__</td>
<td></td>
<td>__xor__</td>
<td>__xor__</td>
</tr>
<tr>
<th>numpy.ndarray.all</th>
<td>all</td>
<td>all</td>
<td>all</td>
<td></td>
<td>all</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.any</th>
<td>any</td>
<td>any</td>
<td>any</td>
<td></td>
<td>any</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.argmax</th>
<td>argmax</td>
<td>argmax</td>
<td>argmax</td>
<td>argmax</td>
<td>argmax</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.argmin</th>
<td>argmin</td>
<td>argmin</td>
<td>argmin</td>
<td>argmin</td>
<td>argmin</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.argpartition</th>
<td>argpartition</td>
<td></td>
<td>argpartition</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.argsort</th>
<td>argsort</td>
<td></td>
<td>argsort</td>
<td>argsort</td>
<td>argsort</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.astype</th>
<td>astype</td>
<td>astype</td>
<td>astype</td>
<td>astype</td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.base</th>
<td>base</td>
<td></td>
<td></td>
<td></td>
<td>_base</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.byteswap</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.choose</th>
<td>choose</td>
<td>choose</td>
<td>choose</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.clip</th>
<td>clip</td>
<td>clip</td>
<td>clip</td>
<td>clip</td>
<td>clamp_</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.compress</th>
<td>compress</td>
<td></td>
<td>compress</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.conj</th>
<td>conjugate</td>
<td></td>
<td>conjugate</td>
<td></td>
<td>conj</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.copy</th>
<td>copy</td>
<td>copy</td>
<td>copy</td>
<td>copy</td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.ctypes</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.cumprod</th>
<td>cumprod</td>
<td>cumprod</td>
<td>cumprod</td>
<td></td>
<td>cumprod</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.cumsum</th>
<td>cumsum</td>
<td>cumsum</td>
<td>cumsum</td>
<td></td>
<td>cumsum</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.data</th>
<td>data</td>
<td></td>
<td></td>
<td></td>
<td>data</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.diagonal</th>
<td>diagonal</td>
<td></td>
<td>diagonal</td>
<td></td>
<td>diagonal</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.dot</th>
<td>dot</td>
<td>dot</td>
<td>dot</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.dump</th>
<td>dump</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.dumps</th>
<td>dumps</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.fill</th>
<td>fill</td>
<td></td>
<td></td>
<td></td>
<td>fill_</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.flags</th>
<td>flags</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.flat</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.flatten</th>
<td>flatten</td>
<td>flatten</td>
<td>flatten</td>
<td>flatten</td>
<td>flatten</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.getfield</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.imag</th>
<td>imag</td>
<td></td>
<td>imag</td>
<td></td>
<td>imag</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.item</th>
<td>item</td>
<td></td>
<td>item</td>
<td></td>
<td>item</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.itemset</th>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.itemsize</th>
<td>itemsize</td>
<td>itemsize</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.max</th>
<td>max</td>
<td>max</td>
<td>max</td>
<td>max</td>
<td>max</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.mean</th>
<td>mean</td>
<td>mean</td>
<td>mean</td>
<td>mean</td>
<td>mean</td>
<td></td>
</tr>
<tr>
<th>numpy.ndarray.min</th>
<td>min</td>
<td>min</td>
<td>min</td>