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What is the numpy.broadcast_arrays() function in NumPy?

Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

Overview

The broadcast_arrays() function in NumPy is used to broadcast a given number of arrays against each other.

Broadcasting in NumPy describes how NumPy treats arrays with different shapes by making use of arithmetic operations.

To learn more about broadcasting in NumPy, click on this shot.

Syntax

numpy.broadcast_arrays(*args, subok=False)
Syntax for the "broadcast_arrays()" function

Parameter values

The broadcast_arrays() function takes the following parameter values:

  • *args: This represents the input arrays that need to be broadcast. This parameter value is required.
  • subok: This takes a logical value (True or False), which indicates whether the subclasses will be passed through or if it will be a base-class array. This parameter value is optional.

Return value

The broadcast_arrays() function returns a view of the original arrays that are passed to it.

Code

import numpy as np
# creating input arrays
a = np.array ([1, 2, 3, 4])
b = np.array ([5, 6, 7, 8])
# implementing the broadcast_arrays() function
myarray = np.broadcast_arrays(a, b)
# printing the broadcasted array
print(myarray)
Implementing the "broadcast_arrays()" function

Explanation

  • Line 1: We import the numpy module.
  • Lines 3–4: We create the arrays a and b using the array() function.
  • Line 7: We call the  broadcast_arrays() function and pass the arrays a and b as its arguments. Then, we assign the result to a variable called myarray.
  • Line 10: We print the new broadcasted array called myarray to the console.

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function
numpy
python
communitycreator

CONTRIBUTOR

Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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