Return the ceil value of the array elements in Numpy

NumpyServer Side ProgrammingProgramming

To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy. The ceil of the scalar x is the smallest integer i, such that i >= x. It is often denoted as $\mathrm{\lceil X \rceil}$. The function returns the ceil of each element in x, with float dtype. This is a scalar if x is a scalar.

The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

Steps

At first, import the required library −

import numpy as np

Create an array −

arr = np.array([56.9, 27.4, -100.8, 50, -10.5, 76.8, -98])

Display the array −

print("Array...\n", arr)

Get the type of the array −

print("\nOur Array type...\n", arr.dtype)

Get the dimensions of the Array −

print("\nOur Array Dimensions...\n", arr.ndim)

Get the number of elements in the Array −

print("\nNumber of elements...\n", arr.size)

To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy −

print("\nResult (ceil)...\n",np.ceil(arr))

Example

import numpy as np

# Create an array
arr = np.array([56.9, 27.4, -100.8, 50, -10.5, 76.8, -98])

# Display the array
print("Array...\n", arr)

# Get the type of the array
print("\nOur Array type...\n", arr.dtype)

# Get the dimensions of the Array
print("\nOur Array Dimensions...\n", arr.ndim)

# Get the number of elements in the Array
print("\nNumber of elements...\n", arr.size)

# To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy
print("\nResult (ceil)...\n",np.ceil(arr))

Output

Array...
[ 56.9 27.4 -100.8 50. -10.5 76.8 -98. ]

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
7

Result (ceil)...
[ 57. 28. -100. 50. -10. 77. -98.]
raja
Updated on 08-Feb-2022 06:51:51

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