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.]
