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Streamlit for Data Science - Second Edition

You're reading from  Streamlit for Data Science - Second Edition

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803248226
Pages 300 pages
Edition 2nd Edition
Languages
Author (1):
Tyler Richards Tyler Richards
Profile icon Tyler Richards

Table of Contents (15) Chapters

Preface An Introduction to Streamlit Uploading, Downloading, and Manipulating Data Data Visualization Machine Learning and AI with Streamlit Deploying Streamlit with Streamlit Community Cloud Beautifying Streamlit Apps Exploring Streamlit Components Deploying Streamlit Apps with Hugging Face and Heroku Connecting to Databases Improving Job Applications with Streamlit The Data Project – Prototyping Projects in Streamlit Streamlit Power Users Other Books You May Enjoy
Index

Creating drill-down graphs with streamlit-plotly-events

One of the most popular advanced features in any plotting library is the ability to drill down into sections or parts of graphs. The users of your apps will often have questions about your data that you have not anticipated in advance! Instead of creating new Streamlit inputs around graphs, users often will want to click on items in your graphs like points or bars, and get more information about that point. For example, in our penguins scatterplot graph, a user might want to see all the data available for a penguin, which is represented by a point being scrolled over in a DataFrame.

streamlit-plotly-events turns the unidirectional st.plotly_chart function into a bidirectional one, where we can receive events like clicks or hovers back into our Streamlit app. To test this out, we will create another app inside the pages folder, this one called plotly_events and will create a graph based on the penguins dataset.

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