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What is the numpy.sinc() 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

In NumPy, the numpy.sinc() function is used to compute the normalized sinc function.

Mathematically:

Sinc(x)= sin(x)x\frac{sin(x)}{x}

Syntax

numpy.sinc(x)
Syntax for the numpy.sinc() function

Parameter

This function takes a single parameter value, x, which is the input array of values to be calculated.

Return value

This function returns an array of the same shape as the input array holding the results for each of the elements.

Example

import numpy as np
# creating a evenly spaced numbers
x = np.linspace(-2, 2, 20)
# implementing the numpy.sinc function element-wise
myarray = np.sinc(x)
print(myarray)
Implementing the numpy.sinc() function

Explanation

  • Line 1: We import the numpy module.
  • Line 4: We create a variable, x , containing input values starting from -2 to 2 with an interval of 20 using the linspace() function.
  • Line 7: We implement the numpy.sinc() function on the input values. The result is assigned to a variable myarray.
  • Line 9: We print the variable myarray to the console.

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numpy
function
python
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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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