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 5 Slider Explained

3 5 Slider Explained

Key Concepts

The slider in Streamlit allows users to select a value from a range by dragging a handle. The primary function for this is st.slider(). This function creates an interactive slider that can be used to input numerical values, dates, or times. Understanding the parameters and use cases of st.slider() is crucial for creating interactive and dynamic web applications.

Explanation

1. st.slider()

st.slider() is used to create a slider widget. Users can drag the slider to select a value within a specified range. This function takes several parameters, including the minimum and maximum values, a default value, and an optional step size.

2. Minimum and Maximum Values

The minimum and maximum values define the range of the slider. Users can only select values within this range. These values can be integers, floats, or even dates and times, depending on the type of slider you want to create.

3. Default Value

The default value parameter allows you to specify the initial position of the slider when the app is first loaded. This can be useful for guiding users to a reasonable starting point.

4. Step Size

The step size parameter defines the increment or decrement of the slider. For example, if the step size is 1, the slider will move in increments of 1. This parameter is optional and can be adjusted based on the precision required.

Examples

Example 1: Basic Slider

import streamlit as st

st.title("Basic Slider Example")

value = st.slider("Select a value", 0, 100)
st.write(f"You selected: {value}")
    

Example 2: Slider with Default Value

import streamlit as st

st.title("Slider with Default Value")

default_value = 50
value = st.slider("Select a value", 0, 100, default_value)
st.write(f"You selected: {value}")
    

Example 3: Slider with Step Size

import streamlit as st

st.title("Slider with Step Size")

value = st.slider("Select a value", 0.0, 10.0, step=0.5)
st.write(f"You selected: {value}")
    

Analogies

Think of st.slider() as a volume control knob on a stereo system. Users can adjust the volume by dragging the knob to a specific position. The minimum and maximum values are like the lowest and highest volume settings, the default value is the initial volume when you turn on the stereo, and the step size is like the precision of the volume adjustment, whether it's coarse or fine.

Conclusion

Understanding and using st.slider() effectively can greatly enhance the interactivity of your Streamlit app. By providing clear ranges, reasonable default values, and appropriate step sizes, you can guide users to make meaningful selections, making your app more user-friendly and efficient.