How to deal with an Item in a List in Python?

How to deal with an Item in a List in Python?

How to deal with an Item in a List in Python?

This recipe helps you deal with an Item in a List in Python


Recipe Objective

Have you tried to change any item in a array or tired to manupulate it?

So this is the recipe on how we can deal with an Item in a List in Python.

Step 1 - Creating List

We have created a list named sales with different values Sales = [482, 93, 392, 920, 813, 199, 374, 237, 244]

Step 2 - Changing Values

Here we have defined a function to return the values after adding 100 to the previous value. After that we have mapped this updated feature and sales. def updated(x): return x + 100 print(list(map(updated, Sales))) Now we have defined a loop in which we will add 10 to each value of previous feature i.e updated. salesUpdated = [] for x in Sales: salesUpdated.append(x + 10) print(salesUpdated) Now we have defined a mapping function to add 100 in each value of items in sales and we are using lambda function for this. print(list(map((lambda x: x + 100), Sales))) So the output comes as

[582, 193, 492, 1020, 913, 299, 474, 337, 344]

[492, 103, 402, 930, 823, 209, 384, 247, 254]

[582, 193, 492, 1020, 913, 299, 474, 337, 344]

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.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

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.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

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.

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.