In [1]:

    

import numpy as np


    

In [2]:

    

a_1d = np.arange(10)
print(a_1d)


    

    




[0 1 2 3 4 5 6 7 8 9]

In [3]:

    

print(a_1d[0])


    

    




0

In [4]:

    

print(a_1d[4])


    

    




4

In [5]:

    

print(a_1d[-1])


    

    




9

In [6]:

    

print(a_1d[-4])


    

    




6

In [7]:

    

# print(a_1d[100])
# IndexError: index 100 is out of bounds for axis 0 with size 10


    

In [8]:

    

# print(a_1d[-100])
# IndexError: index -100 is out of bounds for axis 0 with size 10


    

In [9]:

    

a_2d = np.arange(12).reshape(3, 4)
print(a_2d)


    

    




[[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]]

In [10]:

    

print(a_2d[0, -1])


    

    




3

In [11]:

    

print(a_2d[0])


    

    




[0 1 2 3]

In [12]:

    

print(a_2d[0, :])


    

    




[0 1 2 3]

In [13]:

    

print(a_2d[:, 0])


    

    




[0 4 8]

In [14]:

    

print(type(a_2d[0, -1]))


    

    




<class 'numpy.int64'>

In [15]:

    

print(type(a_2d[0]))


    

    




<class 'numpy.ndarray'>