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Python | math.ceil() function
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numpy.ceil() in Python

Last Updated : 08 Mar, 2024
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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 Python3 
# 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 Python3 
# 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.]
 

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Python | math.ceil() function
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Article Tags :
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  • Python-numpy
  • Python numpy-Mathematical Function
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