numpy.ceil () in Python



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 & gt; = x

Parameters:
a: [array_like] Input array

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

Code # 1: Work

# 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)

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

# 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)

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.] 

Links: https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.ceil.html# numpy.ceil
,