In [1]:

    

import numpy as np


    

In [2]:

    

a = np.array([1, 100, 10])
print(a)


    

    




[  1 100  10]

In [3]:

    

print(np.argmin(a))


    

    




0

In [4]:

    

print(a.argmin())


    

    




0

In [5]:

    

a_2d = np.array([[20, 50, 30], [60, 40, 10]])
print(a_2d)


    

    




[[20 50 30]
 [60 40 10]]

In [6]:

    

print(np.argmin(a_2d))


    

    




5

In [7]:

    

print(a_2d.argmin())


    

    




5

In [8]:

    

print(np.argmin(a_2d, axis=0))


    

    




[0 1 1]

In [9]:

    

print(a_2d.argmin(axis=0))


    

    




[0 1 1]

In [10]:

    

print(np.min(a_2d, axis=0))


    

    




[20 40 10]

In [11]:

    

print(a_2d.min(axis=0))


    

    




[20 40 10]

In [12]:

    

print(np.argmin(a_2d, axis=1))


    

    




[0 2]

In [13]:

    

print(a_2d.argmin(axis=1))


    

    




[0 2]

In [14]:

    

print(np.min(a_2d, axis=1))


    

    




[20 10]

In [15]:

    

print(a_2d.min(axis=1))


    

    




[20 10]

In [16]:

    

idx = np.unravel_index(np.argmin(a_2d), a_2d.shape)
print(idx)


    

    




(1, 2)

In [17]:

    

print(a_2d[idx])


    

    




10

In [18]:

    

print(np.min(a_2d))


    

    




10

In [19]:

    

print(np.unravel_index(a_2d.argmin(), a_2d.shape))


    

    




(1, 2)