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]])sort numpy array
import numpy as np
arr = np.array([3, 2, 0, 1])
print(np.sort(arr))numpy sort
import numpy as np
#original 2-dimentional array
nnl_array = np.array([[1,5,3], [6,5,7]])
print ("original array", "\n", nnl_array)
#axis=none
a_nnl_array = np.sort(nnl_array, axis=None)
print("axis=none", "\n", a_nnl_array)
#axis=-1
b_nnl_array = np.sort(nnl_array, axis=-1)
print("axis=-1", "\n", b_nnl_array)
#axis=0
c_nnl_array = np.sort(nnl_array, axis=0)
print("axis=0", "\n", c_nnl_array)
#axis=1
d_nnl_array = np.sort(nnl_array, axis=1)
print("axis=1", "\n", d_nnl_array)sort numpy array
import numpy as np
arr = np.array(['banana', 'cherry', 'apple'])
print(np.sort(arr))Copyright © 2021 Codeinu
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