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Get the Outer product of an array and a scalar in Python
To get the Outer product of an array and a scalar, use the numpy.outer() method in Python. The 1st parameter a is the first input vector. Input is flattened if not already 1-dimensional. The 2nd parameter b is the second input vector. Input is flattened if not already 1-dimensional. The 3rd parameter out is a location where the result is stored.
Given two vectors, a = [a0, a1, ..., aM] and b = [b0, b1, ..., bN], the outer product is −
[[a0*b0 a0*b1 ... a0*bN ] [a1*b0 . [ ... . [aM*b0 aM*bN ]]
Steps
At first, import the required libraries −
import numpy as np
Create an array using numpy.eye(). This method returns a 2-D array with ones on the diagonal and zeros elsewhere −
arr = np.eye(2)
The val is the scalar −
val = 2
Display the array −
print("Array...\n",arr)Check the datatype −
print("\nDatatype of Array...\n",arr.dtype)
Check the Dimension −
print("\nDimensions of Array...\n",arr.ndim)Check the Shape −
print("\nShape of Array...\n",arr.shape)
To get the Outer product of an array and a scalar, use the numpy.outer() method in Python −
print("\nResult (Outer Product)...\n",np.outer(arr, val))Example
import numpy as np
# Create an array using numpy.eye(). This method returns a 2-D array with ones on the diagonal and zeros elsewhere.
arr = np.eye(2)
# The val is the scalar
val = 2
# Display the array
print("Array...\n",arr)
# Check the datatype
print("\nDatatype of Array...\n",arr.dtype)
# Check the Dimensions
print("\nDimensions of Array...\n",arr.ndim)
# Check the Shape
print("\nShape of Array...\n",arr.shape)
# To get the Outer product of an array and a scalar, use the numpy.outer() method in Python
print("\nResult (Outer Product)...\n",np.outer(arr, val))Output
Array... [[1. 0.] [0. 1.]] Datatype of Array... float64 Dimensions of Array... 2 Shape of Array... (2, 2) Result (Outer Product)... [[2.] [0.] [0.] [2.]]
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