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# numpy.ceil () in Python

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numpy.ceil (x [, out]) = ufunc & # 39; ceil & # 39;): this math function returns the ceil of array elements. Scalar cylinder x — is the smallest integer i such that i" = x

Parameters:
a: [array_like] Input array

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

Code # 1: Work

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` # 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: " , in_array)   ceiloff_values ​​ = np.ceil (in_array) print ( "Rounded values:" , ceiloff_values)     in_array = [. 53 , 1.54 ,. 71 ] print ( "Input array:" , in_array)   ceiloff_values ​​ = np.ceil (in_array) print ( "Rounded values:" , ceiloff_values)   in_array = [. 5538 , 1.33354 ,. 71445 ] print ( " Input array: " , in_array)    ceiloff_values ​​ < code class = "keyword"> = np.ceil (in_array) print ( "Rounded values:" , ceiloff_values) `

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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: Work

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` # Python program explaining # ceil () Function import numpy as np   in_array = [ 1.67 , 4.5 , 7 , 9 , 12 ] print ( "Input array:" , in_array)   ceiloff_values ​​ = np.ceil (in_array) print ( " Rounded values: " , ceiloff_values)     in_array = [ 133.000 , 344.54 , 437.56 , 44.9 , 1.2 ] print ( " Input array: " , in_array)   ceiloff_values ​​ = np.ceil (in_array) print ( " Rounded values ​​upto 2: " , ceiloff_values) `

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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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