Return the ceil of the array elements and store the result in a new location in Numpy

NumpyServer Side ProgrammingProgramming

To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy. The new location where we will store the result is a new array.

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 using the array() method −

arr = np.array([48.7, 100.8, 50.7, 67.9, 34.5, 69.8])

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)

Create another array with the same shape to store the result −

arrRes = np.array([5.2, 10.1, 15.7, 20.2, 25.9, 45.9])

To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy. The new location where we will store the result is arrRes −

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

Check the value of the new array where our result is stored −

print("\nResult...\n",arrRes)

Example

import numpy as np

# Create an array using the array() method
arr = np.array([48.7, 100.8, 50.7, 67.9, 34.5, 69.8])

# 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)

# Create another array with the same shape to store the result
arrRes = np.array([5.2, 10.1, 15.7, 20.2, 25.9, 45.9])

# To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy
# The new location where we will store the result is arrRes
print("\nResult (ceil)...\n",np.ceil(arr, arrRes))
# Check the value of the new array where our result is stored
print("\nResult...\n",arrRes)

Output

Array...
[ 48.7 100.8 50.7 67.9 34.5 69.8]

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
6

Result (ceil)...
[ 49. 101. 51. 68. 35. 70.]

Result...
[ 49. 101. 51. 68. 35. 70.]
raja
Updated on 08-Feb-2022 06:58:29

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