• C=numpy.add(A, B): Add two matrices A and B and store result in C. • C=numpy.subtract(A, B): Subtract matrix B from matrix A and store result in C. • C=numpy.divide(A, B): Divide matrix A by matrix B and store result in C. • C=numpy.multiply(A, B): Multiply matrix A by matrix B and store result in C. • C=numpy.sum(A): Form the sum of elements of matrix A and store result in c ∈ R. • C=numpy.sum(A, axis = 0): Form the column wise summation of matrix A and store result in vector C. • C=numpy.sum(A, axis = 1): Form the row wise summation of matrix A, store result in vector C. Write Python code to shows the implementation of these methods in a sample matrix

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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• C=numpy.add(A, B): Add two matrices A and B and store result in C.
• C=numpy.subtract(A, B): Subtract matrix B from matrix A and store result in C.
• C=numpy.divide(A, B): Divide matrix A by matrix B and store result in C.
• C=numpy.multiply(A, B): Multiply matrix A by matrix B and store result in C.
• C=numpy.sum(A): Form the sum of elements of matrix A and store result in c ∈ R.
• C=numpy.sum(A, axis = 0): Form the column wise summation of matrix A and
store result in vector C.
• C=numpy.sum(A, axis = 1): Form the row wise summation of matrix A, store
result in vector C.
Write Python code to shows the implementation of these methods in a
sample matrix

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