App to summarise streamlit docs v1.25.0
There is also an accompanying png and pdf version
https://github.com/daniellewisDL/streamlit-cheat-sheet
v1.25.0 August 2023
Author:
- @daniellewisDL : https://github.com/daniellewisDL
Contributors:
- @arnaudmiribel : https://github.com/arnaudmiribel
- @akrolsmir : https://github.com/akrolsmir
- @nathancarter : https://github.com/nathancarter
- Based on Streamlit 1.25.0
- Made with Python 3.8.5
A clean venv with just pip and then Streamlit
Streamlit Cheat Sheet - Sharing for Streamlit
# Magic commands implicitly `st.write()`
''' _This_ is some __Markdown__ '''
a=3
'dataframe:', datast.text('Fixed width text')
st.markdown('_Markdown_') # see #*
st.caption('Balloons. Hundreds of them...')
st.latex(r\'\'\' e^{i\pi} + 1 = 0 \'\'\')
st.write('Most objects') # df, err, func, keras!
st.write(['st', 'is <', 3]) # see *
st.title('My title')
st.header('My header')
st.subheader('My sub')
st.code('for i in range(8): foo()')
# * optional kwarg unsafe_allow_html = Truest.dataframe(my_dataframe)
st.table(data.iloc[0:10])
st.json({'foo':'bar','fu':'ba'})
st.metric(label="Temp", value="273 K", delta="1.2 K")st.image('./header.png')
st.audio(data)
st.video(data)col1, col2 = st.columns(2)
col1.write('Column 1')
col2.write('Column 2')
# Three columns with different widths
col1, col2, col3 = st.columns([3,1,1])
# col1 is wider
# Using 'with' notation:
>>> with col1:
>>> st.write('This is column 1')# Insert containers separated into tabs:
>>> tab1, tab2 = st.tabs(["Tab 1", "Tab2"])
>>> tab1.write("this is tab 1")
>>> tab2.write("this is tab 2")
# You can also use "with" notation:
>>> with tab1:
>>> st.radio('Select one:', [1, 2])# Stop execution immediately:
st.stop()
# Rerun script immediately:
st.experimental_rerun()
# Group multiple widgets:
>>> with st.form(key='my_form'):
>>> username = st.text_input('Username')
>>> password = st.text_input('Password')
>>> st.form_submit_button('Login')# Show different content based on the user's email address.
>>> if st.user.email == '[email protected]':
>>> display_jane_content()
>>> elif st.user.email == '[email protected]':
>>> display_adam_content()
>>> else:
>>> st.write("Please contact us to get access!")st.button('Hit me')
st.data_editor('Edit data', data)
st.checkbox('Check me out')
st.radio('Pick one:', ['nose','ear'])
st.selectbox('Select', [1,2,3])
st.multiselect('Multiselect', [1,2,3])
st.slider('Slide me', min_value=0, max_value=10)
st.select_slider('Slide to select', options=[1,'2'])
st.text_input('Enter some text')
st.number_input('Enter a number')
st.text_area('Area for textual entry')
st.date_input('Date input')
st.time_input('Time entry')
st.file_uploader('File uploader')
st.download_button('On the dl', data)
st.camera_input("一二三,茄子!")
st.color_picker('Pick a color')
# Use widgets\' returned values in variables
>>> for i in range(int(st.number_input('Num:'))): foo()
>>> if st.sidebar.selectbox('I:',['f']) == 'f': b()
>>> my_slider_val = st.slider('Quinn Mallory', 1, 88)
>>> st.write(slider_val)
# Disable widgets to remove interactivity:
>>> st.slider('Pick a number', 0, 100, disabled=True)# Insert a chat message container.
>>> with st.chat_message("user"):
>>> st.write("Hello 👋")
>>> st.line_chart(np.random.randn(30, 3))
# Display a chat input widget.
>>> st.chat_input("Say something") # Add rows to a dataframe after showing it.
>>> element = st.dataframe(df1)
>>> element.add_rows(df2)
# Add rows to a chart after showing it.
>>> element = st.line_chart(df1)
>>> element.add_rows(df2)st.echo()
>>> with st.echo():
>>> st.write('Code will be executed and printed')# Replace any single element.
>>> element = st.empty()
>>> element.line_chart(...)
>>> element.text_input(...) # Replaces previous.
# Insert out of order.
>>> elements = st.container()
>>> elements.line_chart(...)
>>> st.write("Hello")
>>> elements.text_input(...) # Appears above "Hello".
st.help(pandas.DataFrame)
st.get_option(key)
st.set_option(key, value)
st.set_page_config(layout='wide')
st.experimental_show(objects)
st.experimental_get_query_params()
st.experimental_set_query_params(**params)st.experimental_connection('pets_db', type='sql')
conn = st.experimental_connection('sql')
conn = st.experimental_connection('snowpark')
>>> class MyConnection(ExperimentalBaseConnection[myconn.MyConnection]):
>>> def _connect(self, **kwargs) -> MyConnection:
>>> return myconn.connect(**self._secrets, **kwargs)
>>> def query(self, query):
>>> return self._instance.query(query)# E.g. Dataframe computation, storing downloaded data, etc.
>>> @st.cache_data
... def foo(bar):
... # Do something expensive and return data
... return data
# Executes foo
>>> d1 = foo(ref1)
# Does not execute foo
# Returns cached item by value, d1 == d2
>>> d2 = foo(ref1)
# Different arg, so function foo executes
>>> d3 = foo(ref2)
# Clear all cached entries for this function
>>> foo.clear()
# Clear values from *all* in-memory or on-disk cached functions
>>> st.cache_data.clear()# E.g. TensorFlow session, database connection, etc.
>>> @st.cache_resource
... def foo(bar):
... # Create and return a non-data object
... return session
# Executes foo
>>> s1 = foo(ref1)
# Does not execute foo
# Returns cached item by reference, s1 == s2
>>> s2 = foo(ref1)
# Different arg, so function foo executes
>>> s3 = foo(ref2)
# Clear all cached entries for this function
>>> foo.clear()
# Clear all global resources from cache
>>> st.cache_resource.clear()>>> @st.cache
... def foo(bar):
... # Do something expensive in here...
... return data
>>> # Executes foo
>>> d1 = foo(ref1)
>>> # Does not execute foo
>>> # Returns cached item by reference, d1 == d2
>>> d2 = foo(ref1)
>>> # Different arg, so function foo executes
>>> d3 = foo(ref2)# Show a spinner during a process
>>> with st.spinner(text='In progress'):
>>> time.sleep(3)
>>> st.success('Done')
# Show and update progress bar
>>> bar = st.progress(50)
>>> time.sleep(3)
>>> bar.progress(100)
st.balloons()
st.snow()
st.toast('Mr Stay-Puft')
st.error('Error message')
st.warning('Warning message')
st.info('Info message')
st.success('Success message')
st.exception(e)State API
Theme option reference
Components API reference