Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

7.7 array Operators

NumPy provides many operators which enable you to write simple expressions that perform operations on entire arrays. Here, we demonstrate arithmetic between arrays and numeric values and between arrays of the same shape.

Arithmetic Operations with arrays and Individual Numeric Values

First, let’s perform element-wise arithmetic with arrays and numeric values by using arithmetic operators and augmented assignments. Element-wise operations are applied to every element, so snippet [4] multiplies every element by 2 and snippet [5] cubes every element. Each returns a new array containing the result:

In [1]: import numpy as np

In [2]: numbers = np.arange(1, 6)

In [3]: numbers
Out[3]: array([1, 2, 3, 4, 5])

In [4]: numbers *  ...