How to ADD numerical value to each element of a matrix?
DATA MUNGING DATA CLEANING PYTHON MACHINE LEARNING RECIPES PANDAS CHEATSHEET     ALL TAGS

How to ADD numerical value to each element of a matrix?

How to ADD numerical value to each element of a matrix?

This recipe helps you ADD numerical value to each element of a matrix

0

Recipe Objective

Have you tried to add a constant element in a matrix?

So this is the recipe on how we can add a constant to each element of a matrix.

Step 1 - Importing Library

import numpy as np

We have only imported numpy which is needed.

Step 2 - Creating Matrix

We have created a matrix a matirx on which we will perform operation. matrixA = np.array([[2, 3, 23], [5, 6, 25], [8, 9, 28]])

Step 3 - Adding an element

We have made a lambda function to add 100 in every value of matrix. We have created an object to add 100 in the vector form of matrix. add_100 = lambda i: i + 100 vectorized_add_100 = np.vectorize(add_100) print(vectorized_add_100(matrixA)) So the output comes as

[[102 103 123]
 [105 106 125]
 [108 109 128]]

Relevant Projects

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.

Sequence Classification with LSTM RNN in Python with Keras
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.