

- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
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]
- Related Questions & Answers
- Matrix product of a 1D (first argument) and a 2D array (second argument) in Numpy
- Flatten a 2d numpy array into 1d array in Python
- Compute the bit-wise AND of a 1D and a 2D array element-wise in Numpy
- Determine if the type in the first argument is a subclass of second in Python
- Compute the bit-wise XOR of a 1D and a 2D array element-wise in Numpy
- Compute the bit-wise OR of a 1D and a 2D array element-wise in Numpy
- Product of maximum in first array and minimum in second in C
- Evaluate a 2D Legendre series on the Cartesian product of x and y with 1d array of coefficient in Python
- How to convert a 2D array into 1D array in C#?
- Return the reciprocal of the argument element-wise in Numpy
- Scatter a 2D numpy array in matplotlib
- Matrix product of two arrays in Numpy
- Difference Between One-Dimensional (1D) and Two-Dimensional (2D) Array
- Argument Index in Java
- Argument Parsing in Python