Tip
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] | |
---|---|
st.table(data=None) | |
Parameters | |
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". |
Example
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))) st.table(df)
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