Numpy Floor Function

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Introduction

In mathematics, the floor() function is used to calculate the largest integer that is less than or equal to a given number. In Python, this function is implemented in the Numpy library as numpy.floor(). It is used to return the floor value of the elements of an array.

In this lab, you will learn how to use numpy.floor() function to calculate the floor value of an array.

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Skills Graph

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Importing the Numpy Library

Numpy provides a set of mathematical functions that can be applied to multi-dimensional arrays. Before using any of these functions, we must first import the Numpy library into our program as follows:

import numpy as np

The above code imports the Numpy library and aliases it with the shorthand "np" which is the standard alias used by most Python programmers.

Defining the Array

In this step, we will define the input array and print it to the console.

input_arr = [1.23, 2.8, -3.7, 6.5, 0.0]
print("Input Array: ", input_arr)

Applying numpy.floor()

numpy.floor() function takes an array as an input and returns an array with the largest integer less than or equal to each element of the input array.

output_arr = np.floor(input_arr)

print("Output Array: ", output_arr)

Running the code and evaluating the output

Run the complete code and evaluate the output.

import numpy as np

## Define the input array
input_arr = [1.23, 2.8, -3.7, 6.5, 0.0]
print("Input Array: ", input_arr)

## Apply numpy.floor() on the array
output_arr = np.floor(input_arr)
print("Output Array: ", output_arr)

Summary

In this lab, you have learned how to use numpy.floor() function to calculate the floor value of an array. The numpy.floor() function is a mathematical function in the Numpy library that takes an array as an input and returns an array with the largest integer less than or equal to each element of the input array.

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