NumPy - power() function
The NumPy power() function is used to calculate first array elements raised to powers from second array, element-wise.
Syntax
numpy.power(x, y, out=None)
Parameters
x |
Required. Specify first array (array_like) containing elements as base. |
y |
Required. Specify second array (array_like) containing elements as exponential. If x.shape != y.shape, they must be broadcastable to a common shape (which becomes the shape of the output). |
out |
Optional. Specify 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. |
Return Value
Returns bases in x raised to the exponents in y.
Example: exponent as scalar
In the example below, numpy power() function is used to calculate the square and cube of each element of Arr.
import numpy as np
Arr = np.array([1, 2, 3, 4, 5])
print("The square of values:")
print(np.power(Arr, 2))
print("\nThe cube of values:")
print(np.power(Arr, 3))
The output of the above code will be:
The square of values: [ 1 4 9 16 25] The cube of values: [ 1 8 27 64 125]
Example: exponent as array
This example shows how to use exponent as array.
import numpy as np
base = np.array([5, 6, 7])
exponent = np.array([0, 1, 2])
print("The power of values:")
print(np.power(base, exponent))
The output of the above code will be:
The power of values: [ 1 6 49]
❮ NumPy - Functions
