Sorting, Searching, and Counting¶

cupy.
argmax
(a, axis=None, dtype=None, out=None, keepdims=False)[source]¶ Returns the indices of the maximum along an axis.
Parameters:  a (cupy.ndarray) – Array to take argmax.
 axis (int) – Along which axis to find the maximum.
a
is flattened by default.  dtype – Data type specifier.
 out (cupy.ndarray) – Output array.
 keepdims (bool) – If
True
, the axisaxis
is preserved as an axis of length one.
Returns: The indices of the maximum of
a
along an axis.Return type: See also
numpy.argmax()

cupy.
argmin
(a, axis=None, dtype=None, out=None, keepdims=False)[source]¶ Returns the indices of the minimum along an axis.
Parameters:  a (cupy.ndarray) – Array to take argmin.
 axis (int) – Along which axis to find the minimum.
a
is flattened by default.  dtype – Data type specifier.
 out (cupy.ndarray) – Output array.
 keepdims (bool) – If
True
, the axisaxis
is preserved as an axis of length one.
Returns: The indices of the minimum of
a
along an axis.Return type: See also
numpy.argmin()

cupy.
count_nonzero
(x)[source]¶ Counts the number of nonzero values in the array.
Parameters: x (cupy.ndarray) – The array for which to count nonzeros. Returns: Number of nonzero values in the array. Return type: int

cupy.
nonzero
(a)[source]¶ Return the indices of the elements that are nonzero.
Returns a tuple of arrays, one for each dimension of a, containing the indices of the nonzero elements in that dimension.
Parameters: a (cupy.ndarray) – array Returns: Indices of elements that are nonzero. Return type: tuple of arrays See also
numpy.nonzero()

cupy.
flatnonzero
(a)[source]¶ Return indices that are nonzero in the flattened version of a.
This is equivalent to a.ravel().nonzero()[0].
Parameters: a (cupy.ndarray) – input array Returns: Output array, containing the indices of the elements of a.ravel() that are nonzero. Return type: cupy.ndarray See also
numpy.flatnonzero()

cupy.
where
(condition, x=None, y=None)[source]¶ Return elements, either from x or y, depending on condition.
If only condition is given, return
condition.nonzero()
.Parameters:  condition (cupy.ndarray) – When True, take x, otherwise take y.
 x (cupy.ndarray) – Values from which to choose on
True
.  y (cupy.ndarray) – Values from which to choose on
False
.
Returns:  Each element of output contains elements of
x
when condition
isTrue
, otherwise elements ofy
. If onlycondition
is given, return the tuplecondition.nonzero()
, the indices wherecondition
is True.
Return type: See also
numpy.where()