Metadata-Version: 2.1
Name: pymatops
Version: 1.1.0
Summary: A Python package for Matrix Operations
Home-page: https://github.com/yash-seth/pymatops
Author: Yash Seth
Author-email: <yashseth2002@gmail.com>
License: UNKNOWN
Description: # pymatops - A Python package for Matrix Operations
        ## Package Details
        The <b> *pymatops* </b> package is [available](https://pypi.org/project/pymatops/) on the official Python Package Index (PyPi) repository.
        It can be installed and used in your projects `pip install pymatops`.
        
        ## Package Operations
        ### 1. visualize - visualize a matrix
        ```python
        import pymatops as pmo
        mat = [[1,2,3], [4,5,6], [7,8,9]]
        pmo.visualize(mat)
        ```
           
        ![image](https://user-images.githubusercontent.com/71393551/189523937-663903d9-fa9a-4577-9ccb-20a536121410.png)
         ---  
        ### 2. dim - returns a tuple with the dimensions of the matrix
        ```python
        import pymatops as pmo
        mat = [[1,2,3], [4,5,6], [7,8,9]]
        print("The dimension of the matrix is ", pmo.dim(mat))
        ```
           
        ![image](https://user-images.githubusercontent.com/71393551/189525289-eb6aac0d-6a2c-4f8a-9b49-942eb01164b3.png)
        ---
        
        ### 3. randomMatrix - returns a matrix of random dimensions with random values if the function is called with no arguments
        ```python
        import pymatops as pmo
        print("The randomly generated matrix: ")
        pmo.randomMatrix()
        ```
           
        ![image](https://user-images.githubusercontent.com/71393551/189525444-5258403a-63a9-4888-9141-5876c22d1534.png)
        ---
        
        ### 4. randomMatrix - you can pass dimensions to get a matrix of specified dimensions with random values. Both row and col dimensions are required
        ```python
        import pymatops as pmo
        print("The random matrix of dimension 6*8 generated: ")
        pmo.randomMatrix(6,8)
        ```
           
        ![image](https://user-images.githubusercontent.com/71393551/189525132-b32781b2-4555-4747-9c0d-1938fd2a0ba4.png)
        ---
        
        ### 5. matSum - returns the sum of all elements in the matrix passed
        ```python
        import pymatops as pmo
        print("The random matrix generated: ")
        mat = pmo.randomMatrix(6,8) # retuns a 6*8 matrix with random values
        print("The sum of the matrix: ", pmo.matSum(mat))
        ```
           
        ![image](https://user-images.githubusercontent.com/71393551/189525090-9d39c9b2-d66d-4e0e-a1db-93949befa21f.png)
        ---
        
        ### 6. matAdd - returns the resultant matrix of the sum of matrix A and B
        ```python
        import pymatops as pmo
        mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
        mat1 =[[1, 2, 3], [4, 5, 6], [7, 8, 9]] # returns a 6*8 matrix with random values
        print("Matrix 1:")
        pmo.visualize(mat)
        print("Matrix 2:")
        pmo.visualize(mat1)
        print("The resultant matrix of the matrix addition operation: ")
        pmo.matAdd(mat, mat1)
        ```
           
        ![image](https://user-images.githubusercontent.com/71393551/189525607-1728f769-3d66-4671-a471-dfd08163c2a0.png)
        ---
        
        ### 7. matMul - returns the resultant matrix of the multiplication of matrix A and B
        ```python
        import pymatops as pmo
        mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]] # matrix of dimensions 4*3
        mat1 =[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]] # matrix of dimensions 3*4
        print("Matrix 1:")
        pmo.visualize(mat)
        print("Matrix 2:")
        pmo.visualize(mat1)
        print("The resultant matrix of the matrix multiplication operation: ")
        pmo.matMul(mat, mat1)
        ```
        
        ![image](https://user-images.githubusercontent.com/71393551/189525779-520f9c71-5465-4a79-b87b-517e37c36f25.png)
        ---
        
        ### 8. scalarMul - returns the resultant matrix of the multiplication of matrix A with scalar c
        ```python
        import pymatops as pmo
        mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
        print("Original Matrix: ")
        pmo.visualize(mat)
        print("Matrix after scalar multiplication operation: ")
        pmo.scalarMul(mat, 3)
        ```
        
        ![image](https://user-images.githubusercontent.com/71393551/189524660-e03a5a87-6784-4cda-9261-9961d4ee9076.png)
        ---
        
        ### 9. transpose - returns transpose of matrix
        ```python
        import pymatops as pmo
        mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]
        print("Original Matrix: ")
        pmo.visualize(mat)
        print("Matrix after transpose operation: ")
        pmo.transpose(mat)
        ```
        
        ![image](https://user-images.githubusercontent.com/71393551/189524731-c00b8a62-650c-4447-9b63-08fc034cf657.png)
        ---
        
        ### 10. zeroElements - returns the number of zero elements in the matrix
        ```python
        import pymatops as pmo
        mat = [[1, 0, 3], [0, 5, 6], [7, 8, 0], [10, 11, 12]]
        print("Original Matrix: ")
        pmo.visualize(mat)
        print("Number of zeros in the matrix: ", end = " ")
        print(pmo.zeroElements(mat))
        ```
        
        ![image](https://user-images.githubusercontent.com/71393551/189524851-7b7342e5-1eff-493c-820c-0b9882abe3b6.png)
        ---
        
        ### 11. evenCheck - returns a tuple with the first element as the number of even numbers in the matrix and the second element being the number of odd numbers in the matrix
        ```python
        import pymatops as pmo
        mat = [[1, 0, 3], [0, 5, 6], [7, 8, 0], [10, 11, 12]]
        print("Original Matrix: ")
        pmo.visualize(mat)
        print("Number of even numbers in the matrix: ", end = " ")
        print(pmo.evenCheck(mat)[0])
        print("Number of odd numbers in the matrix: ", end = " ")
        print(pmo.evenCheck(mat)[1])
        ```
        
        ![image](https://user-images.githubusercontent.com/71393551/189524919-aed32588-6b9c-415e-a58a-33d7e5622813.png)
        ---
        
        <div align="center">
           <b>Developed by Yash Seth (c) 2022</b>
        </div>
        
Keywords: python,matrix,operations,maths,matrices,mathematics
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
