Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Streamlit for Data Science

You're reading from   Streamlit for Data Science Create interactive data apps in Python

Arrow left icon
Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803248226
Length 300 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Tyler Richards Tyler Richards
Author Profile Icon Tyler Richards
Tyler Richards
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. An Introduction to Streamlit FREE CHAPTER 2. Uploading, Downloading, and Manipulating Data 3. Data Visualization 4. Machine Learning and AI with Streamlit 5. Deploying Streamlit with Streamlit Community Cloud 6. Beautifying Streamlit Apps 7. Exploring Streamlit Components 8. Deploying Streamlit Apps with Hugging Face and Heroku 9. Connecting to Databases 10. Improving Job Applications with Streamlit 11. The Data Project – Prototyping Projects in Streamlit 12. Streamlit Power Users 13. Other Books You May Enjoy
14. Index

Multi-page Apps

Our Streamlit apps thus far have all been single pages, where all or nearly all the information in the app has been visible to us with a simple scroll. However, Streamlit also has multi-page functionality. Multi-page apps are a powerful tool for creating apps that are not limited to one page of content, and can extend that user experience that comes with Streamlit.

For our first application of multi-page apps, we’re going to focus on separating the map section of the trees app from the rest of the graphs in two separate apps. The way Streamlit creates multi-page apps is it looks in the same directory as our Streamlit app for a folder called pages, and then runs each Python file inside the pages folder as its own Streamlit app. To do this, create a new folder inside pretty_trees called pages, and then a files inside pages called map.py and app2.py. In your terminal from the base folder in the repository, you can run the following.

mkdir pages
touch pages/map.py
...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime