numpy.ceil() in Python (original) (raw)

Last Updated : 08 Mar, 2024

The numpy.ceil() is a mathematical function that returns the ceil of the elements of array. The ceil of the scalar x is the smallest integer i, such that i >= x

Syntax : numpy.ceil(x[, out]) = ufunc ‘ceil’)
Parameters :
a : [array_like] Input array

Return : The ceil of each element with float data-type.

Code #1 : Working

import numpy as np

in_array = [. 5 , 1.5 , 2.5 , 3.5 , 4.5 , 10.1 ]

print ( "Input array : \n" , in_array)

ceiloff_values = np.ceil(in_array)

print ( "\nRounded values : \n" , ceiloff_values)

in_array = [. 53 , 1.54 , . 71 ]

print ( "\nInput array : \n" , in_array)

ceiloff_values = np.ceil(in_array)

print ( "\nRounded values : \n" , ceiloff_values)

in_array = [. 5538 , 1.33354 , . 71445 ]

print ( "\nInput array : \n" , in_array)

ceiloff_values = np.ceil(in_array)

print ( "\nRounded values : \n" , ceiloff_values)

Output :

Input array : [0.5, 1.5, 2.5, 3.5, 4.5, 10.1]

Rounded values : [ 1. 2. 3. 4. 5. 11.]

Input array : [0.53, 1.54, 0.71]

Rounded values : [ 1. 2. 1.]

Input array : [0.5538, 1.33354, 0.71445]

Rounded values : [ 1. 2. 1.]

Code #2 : Working

import numpy as np

in_array = [ 1.67 , 4.5 , 7 , 9 , 12 ]

print ( "Input array : \n" , in_array)

ceiloff_values = np.ceil(in_array)

print ( "\nRounded values : \n" , ceiloff_values)

in_array = [ 133.000 , 344.54 , 437.56 , 44.9 , 1.2 ]

print ( "\nInput array : \n" , in_array)

ceiloff_values = np.ceil(in_array)

print ( "\nRounded values upto 2: \n" , ceiloff_values)

Output :

Input array : [1.67, 4.5, 7, 9, 12]

Rounded values : [ 2. 5. 7. 9. 12.]

Input array : [133.0, 344.54, 437.56, 44.9, 1.2]

Rounded values upto 2: [ 133. 345. 438. 45. 2.]