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Set the first array elements raised to powers from second array element-wise in Numpy
To set the first array elements raised to powers from second array, element-wise, use the numpy.power() method in Python. Here, the 1st parameter is the base and the 2nd exponents.
Raise each base in x1 to the positionally-corresponding power in x2. x1 and x2 must be broadcastable to the same shape. An integer type raised to a negative integer power will raise a ValueError. Negative values raised to a non-integral value will return nan. To get complex results, cast the input to complex, or specify the dtype to be complex.
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([5, 10, 25, 30, 40, 50])
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 Dimension...
",arr.ndim)Get the shape of the Array −
print("
Our Array Shape...
",arr.shape)
Set the exponent −
p = [2, 3, 2, 3, 2, 3]
To set the first array elements raised to powers from second array, element-wise, use the numpy.power() method. Here, the 1st parameter is the base and the 2nd exponents −
print("
Result...
",np.power(arr, p))
Example
import numpy as np
# Create an array
arr = np.array([5, 10, 25, 30, 40, 50])
# 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 Dimension...
",arr.ndim)
# Get the shape of the Array
print("
Our Array Shape...
",arr.shape)
# Set the exponent
p = [2, 3, 2, 3, 2, 3]
# To set the first array elements raised to powers from second array, element-wise, use the numpy.power() method in Python
# Here, the 1st parameter is the base and the 2nd exponents
print("
Result...
",np.power(arr, p))Output
Array... [ 5 10 25 30 40 50] Our Array type... int64 Our Array Dimension... 1 Our Array Shape... (6,) Result... [ 25 1000 625 27000 1600 125000]
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