To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned. If x contains negative values, the output is converted to the complex domain. The parameter x is the input value
The parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the latter case, the result is x[0]**p[0], x[1]**p[1], ....
Steps
At first, import the required libraries −
import numpy as np
Creating a numpy array using the array() method −
arr = np.array([2, 4, 8, 16, 32])
Display the array −
print("Our Array...\n",arr)
Check the Dimensions −
print("\nDimensions of our Array...\n",arr.ndim)
Get the Datatype −
print("\nDatatype of our Array object...\n",arr.dtype)
Get the Shape −
print("\nShape of our Array object...\n",arr.shape)
To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python −
print("\nResult...\n",np.emath.power(arr, 2))
Example
import numpy as np # Creating a numpy array using the array() method arr = np.array([2, 4, 8, 16, 32]) # Display the array print("Our Array...\n",arr) # Check the Dimensions print("\nDimensions of our Array...\n",arr.ndim) # Get the Datatype print("\nDatatype of our Array object...\n",arr.dtype) # Get the Shape print("\nShape of our Array object...\n",arr.shape) # To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python print("\nResult...\n",np.emath.power(arr, 2))
Output
Our Array... [ 2 4 8 16 32] Dimensions of our Array... 1 Datatype of our Array object... int64 Shape of our Array object... (5,) Result... [ 4 16 64 256 1024]