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
2.3.4 Dropdown Selection Explained

Dropdown Selection Explained

Key Concepts

Dropdown selection in Streamlit is facilitated through the st.selectbox() function. This function allows users to select a single option from a list of choices. Understanding how to use st.selectbox() is essential for creating interactive web applications where users need to make choices.

1. st.selectbox()

st.selectbox() is used to create a dropdown menu in Streamlit. It takes two main arguments: the label or prompt for the dropdown, and a list of options from which the user can select. The function returns the selected option, which can then be used in further computations or displayed.

Example:

import streamlit as st

options = ["Option 1", "Option 2", "Option 3"]
selected_option = st.selectbox("Choose an option:", options)
st.write(f"You selected: {selected_option}")
    

In this example, a dropdown menu is created with three options. The user's selection is stored in the variable selected_option, which is then displayed using st.write().

2. Handling User Selection

Once a user makes a selection from the dropdown, you can handle this selection in various ways. For instance, you can use conditional statements to perform different actions based on the selected option. This makes your Streamlit app dynamic and responsive to user input.

Example:

import streamlit as st

options = ["Option 1", "Option 2", "Option 3"]
selected_option = st.selectbox("Choose an option:", options)

if selected_option == "Option 1":
    st.write("You selected Option 1.")
elif selected_option == "Option 2":
    st.write("You selected Option 2.")
else:
    st.write("You selected Option 3.")
    

In this example, different messages are displayed based on the user's selection from the dropdown menu.

Analogies

Think of st.selectbox() as a multiple-choice question in a quiz. The user is presented with a list of options, and they must choose one. The selected option can then be used to determine the next step, similar to how a quiz question leads to the next part of the quiz based on the answer.

Conclusion

By mastering the use of st.selectbox(), you can create interactive dropdown menus in your Streamlit applications. This allows users to make choices that dynamically affect the content and functionality of your app, making it more engaging and user-friendly.