Static tables with st.table are the most basic way to display dataframes. For the majority of cases, we recommend using st.dataframe to display interactive dataframes, and st.data_editor to let users edit dataframes.

Display a static table.

This differs from st.dataframe in that the table in this case is static: its entire contents are laid out directly on the page.

Function signature[source]



data (pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None)

The table data. Pyarrow tables are not supported by Streamlit's legacy DataFrame serialization (i.e. with config.dataFrameSerialization = "legacy"). To use pyarrow tables, please enable pyarrow by changing the config setting, config.dataFrameSerialization = "arrow".


import streamlit as st
import pandas as pd
import numpy as np

df = pd.DataFrame(
   np.random.randn(10, 5),
   columns=('col %d' % i for i in range(5)))


Still have questions?

Our forums are full of helpful information and Streamlit experts.

Was this page helpful?

editEdit this page on GitHub