Explain how to Make a heatmap and display the values?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

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

Time Series Python Project using Greykite and Neural Prophet
In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

Digit Recognition using CNN for MNIST Dataset in Python
In this deep learning project, you will build a convolutional neural network using MNIST dataset for handwritten digit recognition.

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

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.

Avocado Machine Learning Project Python for Price Prediction
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

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.

Abstractive Text Summarization using Transformers-BART Model
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

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