[ Web Proxy ]

Viewing: https://numpy.org/doc/stable/reference/generated/../random/../generated/../routines.sort.html

[Back] [Original]

Sorting, searching, and counting — NumPy v2.5 Manual

Back to top

NumPy reference
Routines and objects by topic
Sorting, searching, and counting

Sorting, searching, and counting#

Sorting#

`sort`(a[,axis,kind,order,stable,descending])	Return a sorted copy of an array.
`lexsort`(keys[,axis])	Perform an indirect stable sort using a sequence of keys.
`argsort`(a[,axis,kind,order,stable,...])	Returns the indices that would sort an array.
`ndarray.sort`([axis,kind,order,stable,...])	Sort an array in-place.
`sort_complex`(a)	Sort a complex array using the real part first, then the imaginary part.
`partition`(a,kth[,axis,kind,order])	Return a partitioned copy of an array.
`argpartition`(a,kth[,axis,kind,order])	Perform an indirect partition along the given axis using the algorithm specified by the kind keyword.

Searching#

`argmax`(a[,axis,out,keepdims])	Returns the indices of the maximum values along an axis.
`nanargmax`(a[,axis,out,keepdims])	Return the indices of the maximum values in the specified axis ignoring NaNs.
`argmin`(a[,axis,out,keepdims])	Returns the indices of the minimum values along an axis.
`nanargmin`(a[,axis,out,keepdims])	Return the indices of the minimum values in the specified axis ignoring NaNs.
`argwhere`(a)	Find the indices of array elements that are non-zero, grouped by element.
`nonzero`(a)	Return the indices of the elements that are non-zero.
`flatnonzero`(a)	Return indices that are non-zero in the flattened version of a.
`where`(condition,[x,y],/)	Return elements chosen from x or y depending on condition.
`searchsorted`(a,v[,side,sorter])	Find indices where elements should be inserted to maintain order.
`extract`(condition,arr)	Return the elements of an array that satisfy some condition.

Counting#

count_nonzero(a[,axis,keepdims])

Counts the number of non-zero values in the array a.

previous

numpy.union1d

next

numpy.sort

Web Proxy Viewer | New URL | Original Page