Explain how to Make a heatmap and display the values?

Explain how to Make a heatmap and display the values?

Explain how to Make a heatmap and display the values?

This recipe explains how to Make a heatmap and display the values


Recipe Objective

Make a heatmap and display the values.

As we have discussed earlier what is a heatmap,to display values in heatmap we have to use annot = True which will displays the values in heatmap.

Step 1 - Import necessary library

import seaborn as sns import matplotlib.pyplot as plt

Step 2 - load the Dataset

flights_data = sns.load_dataset("flights") flights_data2 = flights_data.pivot("month", "year", "passengers") flights_data2.head()

Step 3 - Plot the heatmap and display values

fig, ax = plt.subplots(figsize=(12,12)) sns.heatmap(flights_data2, annot= True, ax=ax, linewidths=0.6)

Relevant Projects

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.

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.

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.

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.

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.

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

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.

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.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.