This is documentation for an old release of NumPy (version 1.3.). Read this page Search for this page in the documentation of the latest stable release (version > 1.17).

Sorting and searching

Sorting

sort (a[, axis, kind, order])	Return a sorted copy of an array.
lexsort (keys[, axis])	Perform an indirect sort using a list of keys.
argsort (a[, axis, kind, order])	Returns the indices that would sort an array.
ndarray.sort ([axis, kind, order])	Sort an array, in-place.
msort (a)	Return a copy of an array sorted along the first axis.
sort_complex (a)	Sort a complex array using the real part first, then the imaginary part.

Searching

argmax (a[, axis])	Indices of the maximum values along an axis.
nanargmax (a[, axis])	Return indices of the maximum values over an axis, ignoring NaNs.
argmin (a[, axis])	Return the indices of the minimum values along an axis.
nanargmin (a[, axis])	Return indices of the minimum values along an 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, either from x or y, depending on condition.
searchsorted (a, v[, side])	Find indices where elements should be inserted to maintain order.
extract (condition, arr)	Return the elements of an array that satisfy some condition.