Streamline Text Display with st.subheader() Function

The st.subheader() function in Streamlit is designed to create subheaders within your application. This allows you to further organize content into more specific sections, enhancing readability and user navigation.

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1. Creating a Simple Subheader

To create a simple subheader, you can pass a string to st.subheader(). The text will be rendered in a smaller font than the main header, distinguishing it as a secondary title.

import streamlit as st
st.subheader("This is a Subheader")

Here’s an example demonstrating how to create a simple subheader:

st.subheader("Welcome to Our Data Analysis Section!")

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2. Using Multiple Subheaders

The st.subheader() function can be used multiple times to create a structured layout for your application. This helps in organizing content into distinct subsections, making the information clearer for the user.

st.subheader("Data Overview")
st.subheader("Data Cleaning Process")
st.subheader("Analysis Results")

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3. Combining Subheaders with Other Elements

You can combine st.subheader() with other text functions or Markdown for additional formatting. This allows you to enhance the presentation of your subsections.

st.subheader("**Important Note:** Ensure data is cleaned before analysis.")
st.markdown("## Additional Resources")

This demonstrates how to enhance the presentation of subheaders:

• Using st.subheader() for secondary sections.
• Combining with Markdown for context and emphasis.

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4. Difference Between st.subheader() and Other Header Functions

While st.subheader() is specifically designed for creating subheaders, there are other functions for displaying headers and text:

• st.title() creates the largest header for the main title of your application.
• st.header() is used for primary sections.
• st.text() displays plain text without any formatting.

Use st.subheader() to define secondary sections that support the main headers in your application.

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Example

import streamlit as st

st.subheader("Welcome to Our Data Analysis Section!")
st.subheader("Data Overview")
st.subheader("Data Cleaning Process")
st.subheader("Analysis Results")

Output:

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Conclusion

The st.subheader() function is a crucial component for organizing content in Streamlit applications. By effectively using subheaders, you can improve the clarity and structure of your application, making it easier for users to navigate and understand the information presented.