# Get the Inner product of an array and a scalar in Python

To get the Inner product of an array and a scalar, use the numpy.inner() method in Python. Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes. The parameters are 1 and b, two vectors. If a and b are nonscalar, their last dimensions must match.

## 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(5)

The val is the scalar −

val = 2

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))

To get the Inner product of an array and a scalar, use the numpy.inner() method in Python −

print("\nResult (Inner Product)...\n",np.inner(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(5)

# 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 Inner product of an array and a scalar, use the numpy.inner() method in Python
print("\nResult (Inner Product)...\n",np.inner(arr, val))

## Output

Array...
[[1. 0. 0. 0. 0.]
[0. 1. 0. 0. 0.]
[0. 0. 1. 0. 0.]
[0. 0. 0. 1. 0.]
[0. 0. 0. 0. 1.]]

Datatype of Array...
float64

Dimensions of Array...
2

Shape of Array...
(5, 5)

Result (Inner Product)...
[[2. 0. 0. 0. 0.]
[0. 2. 0. 0. 0.]
[0. 0. 2. 0. 0.]
[0. 0. 0. 2. 0.]
[0. 0. 0. 0. 2.]]