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Matrix product of a 2D (first argument) and a 1D array (second argument) in Numpy
To find the matrix product of a 2D and a 1D array, use the numpy.matmul() method in Python Numpy. If the second argument is 1-D, it is promoted to a matrix by appending a 1 to its dimensions. After matrix multiplication the appended 1 is removed.
Returns the matrix product of the inputs. This is a scalar only when both x1, x2 are 1-d vectors. The out is a location into which the result is stored. If provided, it must have a shape that matches the signature (n,k),(k,m)->(n,m). If not provided or None, a freshly-allocated array is returned.
Steps
At first, import the required library −
import numpy as np
Create a 2D and a 1D array −
arr1 = np.array([[5, 7], [10, 15]]) arr2 = np.array([25, 35])
Display the arrays −
print("Array 1 (Two Dimensional)...\n", arr1)
print("\nArray 2 (One Dimensional)...\n", arr2)Get the type of the arrays −
print("\nOur Array 1 type...\n", arr1.dtype)
print("\nOur Array 2 type...\n", arr2.dtype)Get the dimensions of the Arrays −
print("\nOur Array 1 Dimensions...\n",arr1.ndim)
print("\nOur Array 2 Dimensions...\n",arr2.ndim)Get the shape of the Arrays −
print("\nOur Array 1 Shape...\n",arr1.shape)
print("\nOur Array 2 Shape...\n",arr2.shape)To find the matrix product of a 2D and a 1D array, use the numpy.matmul() method in Python Numpy. If the second argument is 1-D, it is promoted to a matrix by appending a 1 to its dimensions. After matrix multiplication the appended 1 is removed −
print("\nResult (matrix product)...\n",np.matmul(arr1, arr2))
Example
import numpy as np
# Create a 2D and a 1D array
arr1 = np.array([[5, 7], [10, 15]])
arr2 = np.array([25, 35])
# Display the arrays
print("Array 1 (Two Dimensional)...\n", arr1)
print("\nArray 2 (One Dimensional)...\n", arr2)
# Get the type of the arrays
print("\nOur Array 1 type...\n", arr1.dtype)
print("\nOur Array 2 type...\n", arr2.dtype)
# Get the dimensions of the Arrays
print("\nOur Array 1 Dimensions...\n",arr1.ndim)
print("\nOur Array 2 Dimensions...\n",arr2.ndim)
# Get the shape of the Arrays
print("\nOur Array 1 Shape...\n",arr1.shape)
print("\nOur Array 2 Shape...\n",arr2.shape)
# To find the matrix product of a 2D and a 1D array, use the numpy.matmul() method in Python Numpy
# If the second argument is 1-D, it is promoted to a matrix by appending a 1 to its dimensions.
# After matrix multiplication the appended 1 is removed.
print("\nResult (matrix product)...\n",np.matmul(arr1, arr2))Output
Array 1 (Two Dimensional)... [[ 5 7] [10 15]] Array 2 (One Dimensional)... [25 35] Our Array 1 type... int64 Our Array 2 type... int64 Our Array 1 Dimensions... 2 Our Array 2 Dimensions... 1 Our Array 1 Shape... (2, 2) Our Array 2 Shape... (2,) Result (matrix product)... [370 775]
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