This is documentation for an old release of NumPy (version 1.8.0). Read this page Search for this page in the documentation of the latest stable release (version > 1.17).
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 |
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 |
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 |
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