numpy.ndarray.sort#

method

ndarray.sort(axis=-1,kind=None,order=None)#

Sort an array in-place. Refer tonumpy.sort for full documentation.

Parameters:
axisint, optional

Axis along which to sort. Default is -1, which means sort along thelast axis.

kind{‘quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’}, optional

Sorting algorithm. The default is ‘quicksort’. Note that both ‘stable’and ‘mergesort’ use timsort under the covers and, in general, theactual implementation will vary with datatype. The ‘mergesort’ optionis retained for backwards compatibility.

orderstr or list of str, optional

Whena is an array with fields defined, this argument specifieswhich fields to compare first, second, etc. A single field canbe specified as a string, and not all fields need be specified,but unspecified fields will still be used, in the order in whichthey come up in the dtype, to break ties.

See also

numpy.sort

Return a sorted copy of an array.

numpy.argsort

Indirect sort.

numpy.lexsort

Indirect stable sort on multiple keys.

numpy.searchsorted

Find elements in sorted array.

numpy.partition

Partial sort.

Notes

Seenumpy.sort for notes on the different sorting algorithms.

Examples

>>>importnumpyasnp>>>a=np.array([[1,4],[3,1]])>>>a.sort(axis=1)>>>aarray([[1, 4],       [1, 3]])>>>a.sort(axis=0)>>>aarray([[1, 3],       [1, 4]])

Use theorder keyword to specify a field to use when sorting astructured array:

>>>a=np.array([('a',2),('c',1)],dtype=[('x','S1'),('y',int)])>>>a.sort(order='y')>>>aarray([(b'c', 1), (b'a', 2)],      dtype=[('x', 'S1'), ('y', '<i8')])
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