What does a melt function do on a dataframe?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

What does a melt function do on a dataframe?

What does a melt function do on a dataframe?

This recipe explains what does a melt function do on a dataframe

0

Recipe Objective

While working over dataframes, we might be have various columns of same or different values. Now we are interested to keep all numbers in single column and rest column should act as id variables. This can easily be done by melt function.

So this recipe is a short example on What does a melt function do on a dataframe. Let's get started.

Step 1 - Import the library

import pandas as pd import seaborn as sb

Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays. Seaborn will help us in importing dataset.

Step 2 - Setup the Data

df = sb.load_dataset('tips') print(df.head())

Here we have imported datset from seaborn library.

Now, our dataset is ready.

Step 3 - Melting

df_melt=pd.melt(df, id_vars =['sex','smoker','day','time'], value_vars =['total_bill','tip','size']) print(df_melt.head())

As you can see, all id variables are kept in different columns and value variables will be melted.

Step 4 - Let's look at our dataset now

Once we run the above code snippet, we will see:

Scroll down the ipython file to visualize the final output.

Melting can easily be observed.

Relevant Projects

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

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.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

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.

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.

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 Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

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.