How to get the floor, ceiling and truncated values of the elements of a numpy array?

Last Updated : 29 Aug, 2020

In this article, let's discuss how to get the floor, ceiling, and truncated values of the elements of a Numpy array. First, we need to import the NumPy library to use all the functions available in it. This can be done with this import statement:

import numpy as np

Getting the floor value

The greatest integer that is less than or equal to x where x is the array element is known as floor value. It can found using the function numpy.floor()

Syntax:

numpy.floor(x[, out]) = ufunc ‘floor’)

Example 1:

Python

# Import the numpy library import numpy as np   # Initialize numpy array a = np.array([1.2])  # Get floor value a = np.floor(a) print(a)

Output:

[1.]

Example 2:

Python

import numpy as np a = np.array([-1.8, -1.6, -0.5, 0.5, 1.6, 1.8, 3.0]) a = np.floor(a) print(a)

OutPut:

[-2., -2., -1., 0., 1., 1., 3.]

Getting the ceil value

The least integer that is greater than or equal to x where x is the array element is known as ceil value. It can be found using the numpy.ceil() method.

Syntax:

numpy.ceil(x[, out]) = ufunc ‘ceil’)

Example 1:

Python

# Import the numpy library import numpy as np   # Initialize numpy array a = np.array([1.2])  # Get ceil value a = np.ceil(a) print(a)

Output:

[2.]

Example 2:

Python

import numpy as np a = np.array([-1.8, -1.6, -0.5, 0.5, 1.6, 1.8, 3.0]) a = np.ceil(a) print(a)

Output:

[-1., -1., -0., 1., 2., 2., 3.]

Getting the Truncate value

The trunc of the scalar x is the nearest integer i which, closer to zero than x. This simply means that, the fractional part of the signed number x is discarded by this function. It can be found using the numpy.trunc() method.

Syntax:

numpy.trunc(x[, out]) = ufunc ‘trunc’)

Example 1:

Python

# Import the numpy library import numpy as np   # Initialize numpy array a = np.array([1.2])  # Get truncate value a = np.trunc(a) print(a)

Output:

[1.]

Example 2:

Python

import numpy as np a = np.array([-1.8, -1.6, -0.5, 0.5, 1.6, 1.8, 3.0]) a = np.trunc(a) print(a)

Output:

[-1., -1., -0., 0., 1., 1., 3.]

Example to get floor, ceil, trunc values of the elements of a numpy array

Python

import numpy as np   input_arr = np.array([-1.8, -1.6, -0.5, 0.5,                        1.6, 1.8, 3.0]) print(input_arr)  floor_values = np.floor(input_arr) print("\nFloor values : \n", floor_values)  ceil_values = np.ceil(input_arr) print("\nCeil values : \n", ceil_values)  trunc_values = np.trunc(input_arr) print("\nTruncated values : \n", trunc_values)

Output:

[-1.8 -1.6 -0.5  0.5  1.6  1.8  3. ]    Floor values :    [-2. -2. -1.  0.  1.  1.  3.]    Ceil values :    [-1. -1. -0.  1.  2.  2.  3.]    Truncated values :    [-1. -1. -0.  0.  1.  1.  3.]