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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.]
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