Streamlit
1 Introduction to Streamlit
1.1 What is Streamlit?
1.2 Why use Streamlit?
1.3 Setting up the environment
1.4 Creating your first Streamlit app
2 Basic Components
2.1 Text elements
2.1 1 Displaying text
2.1 2 Formatting text
2.2 Data display elements
2.2 1 Displaying data frames
2.2 2 Displaying tables
2.3 Input widgets
2.3 1 Text input
2.3 2 Number input
2.3 3 Date input
2.3 4 Dropdown selection
2.3 5 Slider
2.3 6 Checkbox
2.3 7 Radio buttons
2.3 8 Buttons
3 Advanced Components
3.1 Interactive widgets
3.1 1 Multiselect
3.1 2 File uploader
3.1 3 Color picker
3.2 Media elements
3.2 1 Displaying images
3.2 2 Displaying videos
3.2 3 Displaying audio
3.3 Chart elements
3.3 1 Line chart
3.3 2 Bar chart
3.3 3 Area chart
3.3 4 Scatter chart
3.3 5 Map chart
4 Layout and Styling
4.1 Layout components
4.1 1 Columns
4.1 2 Tabs
4.1 3 Expander
4.2 Styling elements
4.2 1 Custom CSS
4.2 2 Theming
4.2 3 Adding custom fonts
5 State Management
5.1 Session state
5.1 1 Managing state across reruns
5.1 2 Persisting state
5.2 Caching
5.2 1 Caching functions
5.2 2 Caching data
6 Deployment
6.1 Deploying to Streamlit Sharing
6.1 1 Setting up Streamlit Sharing
6.1 2 Deploying your app
6.2 Deploying to other platforms
6.2 1 Deploying to Heroku
6.2 2 Deploying to AWS
6.2 3 Deploying to Google Cloud
7 Best Practices
7.1 Writing clean and maintainable code
7.2 Optimizing performance
7.3 Handling errors and exceptions
7.4 Version control with Git
8 Advanced Topics
8.1 Integrating with other libraries
8.1 1 Integrating with Pandas
8.1 2 Integrating with Plotly
8.1 3 Integrating with TensorFlow
8.2 Building complex apps
8.2 1 Creating multi-page apps
8.2 2 Handling authentication
8.2 3 Building interactive dashboards
8.3 Custom components
8.3 1 Creating custom widgets
8.3 2 Extending Streamlit with custom components
9 Case Studies
9.1 Building a data exploration app
9.2 Building a machine learning model deployment app
9.3 Building a real-time data visualization app
4 1 3 Expander Explained

1 3 Expander Explained

Key Concepts

st.expander

st.expander is a Streamlit function that allows you to create collapsible sections within your application. This feature is useful for organizing content in a way that allows users to focus on the information they need without being overwhelmed by too much content at once.

Collapsible Sections

Collapsible sections are parts of the user interface that can be expanded to show more content or collapsed to hide it. This functionality is particularly useful for FAQs, detailed explanations, or any content that doesn't need to be visible all the time.

Content Organization

Using expanders helps in organizing content in a clean and user-friendly manner. By hiding less important or detailed information behind expanders, you can keep the main interface uncluttered and easy to navigate.

Examples

Example 1: Basic Expander

import streamlit as st

with st.expander("Click to expand"):
    st.write("This is the expanded content.")
    

Example 2: Multiple Expanders

import streamlit as st

with st.expander("Section 1"):
    st.write("Content for Section 1.")

with st.expander("Section 2"):
    st.write("Content for Section 2.")
    

Analogies

Think of st.expander as a set of drawers in a filing cabinet. Each drawer can be opened to reveal more documents (content) or closed to keep the workspace tidy. This allows you to manage and access information efficiently without cluttering your workspace.

By mastering st.expander, you can create more interactive and organized Streamlit applications, enhancing the user experience and making your content more accessible.