# Return the ceil value of the array elements in Numpy

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...", arr)

Get the type of the array −

print("Our Array type...", arr.dtype)


Get the dimensions of the Array −

print("Our Array Dimensions...", arr.ndim)

Get the number of elements in the Array −

print("Number of elements...", arr.size)


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

print("Result (ceil)...",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...", arr)

# Get the type of the array
print("Our Array type...", arr.dtype)

# Get the dimensions of the Array
print("Our Array Dimensions...", arr.ndim)

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

# To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy
print("Result (ceil)...",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.]