PYTHON

numpy sort

import numpy as np

arr = np.array([3, 2, 0, 1])
print(np.sort(arr))
# output [0 1 2 3]

arr = np.array(['banana', 'cherry', 'apple'])
print(np.sort(arr))
# output ['apple' 'banana' 'cherry']

arr = np.array([True, False, True])
print(np.sort(arr))
# output [False  True  True]

arr = np.array([[3, 2, 4], [5, 0, 1]])
print(np.sort(arr))
# output
# [[2 3 4]
#  [0 1 5]]

numpy sort

>>> a = np.array([[1,4],[3,1]])
>>> np.sort(a)                # sort along the last axis
array([[1, 4],
       [1, 3]])
>>> np.sort(a, axis=None)     # sort the flattened array
array([1, 1, 3, 4])
>>> np.sort(a, axis=0)        # sort along the first axis
array([[1, 1],
       [3, 4]])

numpy array sorting

a = np.array([[1,4],[3,1]])
>>> np.sort(a)                # sort along the last axis
array([[1, 4],
       [1, 3]])
>>> np.sort(a, axis=None)     # sort the flattened array
array([1, 1, 3, 4])
>>> np.sort(a, axis=0)        # sort along the first axis
array([[1, 1],
       [3, 4]])

How to sort numpy array

np.sort(arr)
array([1, 2, 3, 4, 5, 6, 7, 8])

numpy.sort

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

How to sort numpy array

arr=[1,4,2,6,3,5,8,7]
np.sort(arr)
array([1, 2, 3, 4, 5, 6, 7, 8])

Sort array numpy

arr = np.array([2, 1, 5, 3, 7, 4, 6, 8])
np.sort(arr)