st.expander

Insert a multi-element container that can be expanded/collapsed.

Inserts a container into your app that can be used to hold multiple elements and can be expanded or collapsed by the user. When collapsed, all that is visible is the provided label.

To add elements to the returned container, you can use the with notation (preferred) or just call methods directly on the returned object. See examples below.

Warning

Currently, you may not put expanders inside another expander.

Function signature[source]

st.expander(label, expanded=False, *, icon=None)

Parameters

label (str)

A string to use as the header for the expander. The label can optionally contain GitHub-flavored Markdown of the following types: Bold, Italics, Strikethroughs, Inline Code, and Links.

Unsupported Markdown elements are unwrapped so only their children (text contents) render. Display unsupported elements as literal characters by backslash-escaping them. E.g., "1\. Not an ordered list".

See the body parameter of st.markdown for additional, supported Markdown directives.

expanded (bool)

If True, initializes the expander in "expanded" state. Defaults to False (collapsed).

icon (str, None)

An optional emoji or icon to display next to the expander label. If icon is None (default), no icon is displayed. If icon is a string, the following options are valid:

  • A single-character emoji. For example, you can set icon="🚨" or icon="🔥". Emoji short codes are not supported.

  • An icon from the Material Symbols library (rounded style) in the format ":material/icon_name:" where "icon_name" is the name of the icon in snake case.

    For example, icon=":material/thumb_up:" will display the Thumb Up icon. Find additional icons in the Material Symbols font library.

Examples

You can use the with notation to insert any element into an expander

import streamlit as st

st.bar_chart({"data": [1, 5, 2, 6, 2, 1]})

with st.expander("See explanation"):
    st.write('''
        The chart above shows some numbers I picked for you.
        I rolled actual dice for these, so they're *guaranteed* to
        be random.
    ''')
    st.image("https://static.streamlit.io/examples/dice.jpg")
Built with Streamlit 🎈

Or you can just call methods directly on the returned objects:

import streamlit as st

st.bar_chart({"data": [1, 5, 2, 6, 2, 1]})

expander = st.expander("See explanation")
expander.write('''
    The chart above shows some numbers I picked for you.
    I rolled actual dice for these, so they're *guaranteed* to
    be random.
''')
expander.image("https://static.streamlit.io/examples/dice.jpg")
Built with Streamlit 🎈
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