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) | This is a keyword-only argument that defaults to False. By default, any HTML tags found in strings will be escaped and therefore treated as pure text. This behavior may be turned off by setting this argument to True. That said, we strongly advise against it. It is hard to write secure HTML, so by using this argument you may be compromising your users' security. For more information, see: |
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)
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