import numpy as np

x = np.arange(10,1,-1)
print(x)

#[Output]:
#[10  9  8  7  6  5  4  3  2]


print(x[np.array([3,3,4,7])])

#[Output]:
#[7 7 6 3]


## Negative indexing is the same as work with single indexes

x[np.array([3,3,-3,8])]

#[Output]:
#array([7, 7, 4, 2])


## Index out of range will give an error
x[np.array([3,3,19,8])]


#[Output]:
#---------------------------------------------------------------------------
#IndexError                                Traceback (most recent call last)
#<ipython-input-5-9eeb5decb0c8> in <module>()
#----> 1 x[np.array([3,3,19,8])]

#IndexError: index 19 is out of bounds for axis 1 with size 9


x[np.array([[1,1],[2,3]])]

#[Output]:
#array([[9, 9],
#      [8, 7]])