numpy.ceil() in Python

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

# Python program explaining
# ceil() function
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

# Python program explaining
# ceil() function
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.]