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February 15, 2019 12:18
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Numpy
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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]]) |
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