### Table Of Contents

- Sorting, searching, and counting
  - Sorting
  - Searching
  - Counting

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numpy.sort

# Sorting, searching, and counting

## Sorting

`sort`(a[, axis, kind, order]) | Return a sorted copy of an array.
`lexsort`(keys[, axis]) | Perform an indirect sort using a sequence 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.
`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]) | Indices of the maximum values along an axis.
`nanargmax`(a[, axis]) | Return the indices of the maximum values in the specified axis ignoring NaNs.
`argmin`(a[, axis]) | Return the indices of the minimum values along an axis.
`nanargmin`(a[, axis]) | 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, either 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) | Counts the number of non-zero values in the array `a`.
`count_reduce_items` |