In [1]:

    

import numpy as np


    

In [2]:

    

a = np.array([3, 4, 2, 0, 1])
print(a)


    

    




[3 4 2 0 1]

In [3]:

    

a_sort = np.sort(a)
print(a_sort)


    

    




[0 1 2 3 4]

In [4]:

    

print(a)


    

    




[3 4 2 0 1]

In [5]:

    

a_sort_reverse = np.sort(a)[::-1]
print(a_sort_reverse)


    

    




[4 3 2 1 0]

In [6]:

    

a_2d = np.array([[20, 3, 100], [1, 200, 30], [300, 10, 2]])
print(a_2d)


    

    




[[ 20   3 100]
 [  1 200  30]
 [300  10   2]]

In [7]:

    

a_2d_sort_col = np.sort(a_2d, axis=0)
print(a_2d_sort_col)


    

    




[[  1   3   2]
 [ 20  10  30]
 [300 200 100]]

In [8]:

    

a_2d_sort_row = np.sort(a_2d, axis=1)
print(a_2d_sort_row)


    

    




[[  3  20 100]
 [  1  30 200]
 [  2  10 300]]

In [9]:

    

a_2d_sort_row = np.sort(a_2d)
print(a_2d_sort_row)


    

    




[[  3  20 100]
 [  1  30 200]
 [  2  10 300]]

In [10]:

    

a_2d_sort_row = np.sort(a_2d, axis=-1)
print(a_2d_sort_row)


    

    




[[  3  20 100]
 [  1  30 200]
 [  2  10 300]]

In [11]:

    

a_2d_sort_col_reverse = np.sort(a_2d, axis=0)[::-1]
print(a_2d_sort_col_reverse)


    

    




[[300 200 100]
 [ 20  10  30]
 [  1   3   2]]

In [12]:

    

a_2d_sort_row_reverse = np.sort(a_2d, axis=1)[:, ::-1]
print(a_2d_sort_row_reverse)


    

    




[[100  20   3]
 [200  30   1]
 [300  10   2]]

In [13]:

    

print(a_2d)


    

    




[[ 20   3 100]
 [  1 200  30]
 [300  10   2]]

In [14]:

    

a_2d.sort()

print(a_2d)


    

    




[[  3  20 100]
 [  1  30 200]
 [  2  10 300]]

In [15]:

    

a_2d.sort(axis=0)

print(a_2d[::-1])


    

    




[[  3  30 300]
 [  2  20 200]
 [  1  10 100]]

In [16]:

    

a_2d = np.array([[20, 3, 100], [1, 200, 30], [300, 10, 2]])
print(a_2d)


    

    




[[ 20   3 100]
 [  1 200  30]
 [300  10   2]]

In [17]:

    

a_2d_sort_col_index = np.argsort(a_2d, axis=0)
print(a_2d_sort_col_index)


    

    




[[1 0 2]
 [0 2 1]
 [2 1 0]]

In [18]:

    

a_2d_sort_row_index = np.argsort(a_2d)
print(a_2d_sort_row_index)


    

    




[[1 0 2]
 [0 2 1]
 [2 1 0]]

In [19]:

    

print(a_2d)


    

    




[[ 20   3 100]
 [  1 200  30]
 [300  10   2]]

In [20]:

    

col_num = 1


    

In [21]:

    

print(a_2d[:, col_num])


    

    




[  3 200  10]

In [22]:

    

print(np.argsort(a_2d[:, col_num]))


    

    




[0 2 1]

In [23]:

    

a_2d_sort_col_num = a_2d[np.argsort(a_2d[:, col_num])]
print(a_2d_sort_col_num)


    

    




[[ 20   3 100]
 [300  10   2]
 [  1 200  30]]

In [24]:

    

print(np.argsort(a_2d[:, col_num])[::-1])


    

    




[1 2 0]

In [25]:

    

a_2d_sort_col_num_reverse = a_2d[np.argsort(a_2d[:, col_num])[::-1]]
print(a_2d_sort_col_num_reverse)


    

    




[[  1 200  30]
 [300  10   2]
 [ 20   3 100]]

In [26]:

    

print(a_2d)


    

    




[[ 20   3 100]
 [  1 200  30]
 [300  10   2]]

In [27]:

    

row_num = 1


    

In [28]:

    

print(a_2d[row_num])


    

    




[  1 200  30]

In [29]:

    

print(np.argsort(a_2d[row_num]))


    

    




[0 2 1]

In [30]:

    

a_2d_sort_row_num = a_2d[:, np.argsort(a_2d[row_num])]
print(a_2d_sort_row_num)


    

    




[[ 20 100   3]
 [  1  30 200]
 [300   2  10]]

In [31]:

    

print(np.argsort(a_2d[row_num])[::-1])


    

    




[1 2 0]

In [32]:

    

a_2d_sort_row_num_inverse = a_2d[:, np.argsort(a_2d[row_num])[::-1]]
print(a_2d_sort_row_num_inverse)


    

    




[[  3 100  20]
 [200  30   1]
 [ 10   2 300]]