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

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

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

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

0

Recipe Objective

Have you ever tried to perform a matematical opration on a matrix?

So this is the recipe on how we can can multiply something 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 a matrix

We have created a matrix using numpy array. matrixA = np.array([[2, 3, 23], [5, 6, 25], [8, 9, 28]])

Step 3 - Multipling a number

We have created a lambda function to multiply a number with the elements and we have used it on the elements of matrix. multiply_100 = lambda i: i * 100 vectorized_multiply_100 = np.vectorize(multiply_100) print(vectorized_multiply_100(matrixA)) So the output comes as

[[ 200  300 2300]
 [ 500  600 2500]
 [ 800  900 2800]]

Relevant Projects

Predict Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

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.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

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.

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Census Income Data Set Project - Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.