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Return the ceil of the array elements and store the result in a new location in Numpy
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...
", 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)
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("
Result (ceil)...
",np.ceil(arr, arrRes))
Check the value of the new array where our result is stored −
print("
Result...
",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...
", 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)
# 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("
Result (ceil)...
",np.ceil(arr, arrRes))
# Check the value of the new array where our result is stored
print("
Result...
",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.]
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