Write arguments to the app.
This is the Swiss Army knife of Streamlit commands: it does different things depending on what you throw at it. Unlike other Streamlit commands, write() has some unique properties:
- You can pass in multiple arguments, all of which will be written.
- Its behavior depends on the input types as follows.
- It returns None, so its "slot" in the App cannot be reused.
Function signature[source] | |
---|---|
st.write(*args, unsafe_allow_html=False, **kwargs) | |
Parameters | |
*args (any) | One or many objects to print to the App. Arguments are handled as follows:
|
unsafe_allow_html (bool) | Whether to render HTML within *args. This only applies to strings or objects falling back on _repr_html_(). If this is False (default), any HTML tags found in body will be escaped and therefore treated as raw text. If this is True, any HTML expressions within body will be rendered. Adding custom HTML to your app impacts safety, styling, and maintainability. Note If you only want to insert HTML or CSS without Markdown text, we recommend using st.html instead. |
**kwargs (any) |
delete
**kwargs is deprecated and will be removed in a later version. Use other, more specific Streamlit commands to pass additional keyword arguments. Keyword arguments. Not used. |
Example
Its basic use case is to draw Markdown-formatted text, whenever the input is a string:
import streamlit as st st.write("Hello, *World!* :sunglasses:")As mentioned earlier, st.write() also accepts other data formats, such as numbers, data frames, styled data frames, and assorted objects:
import streamlit as st import pandas as pd st.write(1234) st.write( pd.DataFrame( { "first column": [1, 2, 3, 4], "second column": [10, 20, 30, 40], } ) )Finally, you can pass in multiple arguments to do things like:
import streamlit as st st.write("1 + 1 = ", 2) st.write("Below is a DataFrame:", data_frame, "Above is a dataframe.")Oh, one more thing: st.write accepts chart objects too! For example:
import streamlit as st import pandas as pd import numpy as np import altair as alt df = pd.DataFrame(np.random.randn(200, 3), columns=["a", "b", "c"]) c = ( alt.Chart(df) .mark_circle() .encode(x="a", y="b", size="c", color="c", tooltip=["a", "b", "c"]) ) st.write(c)
Featured video
Learn what the st.write
and magic commands are and how to use them.
Still have questions?
Our forums are full of helpful information and Streamlit experts.