Configure a generic column in st.dataframe or st.data_editor.
The type of the column will be automatically inferred from the data type. This command needs to be used in the column_config parameter of st.dataframe or st.data_editor.
To change the type of the column and enable type-specific configuration options, use one of the column types in the st.column_config namespace, e.g. st.column_config.NumberColumn.
| Function signature[source] | |
|---|---|
st.column_config.Column(label=None, *, width=None, help=None, disabled=None, required=None) | |
| Parameters | |
label (str or None) | The label shown at the top of the column. If None (default), the column name is used. |
width ("small", "medium", "large", or None) | The display width of the column. Can be one of "small", "medium", or "large". If None (default), the column will be sized to fit the cell contents. |
help (str or None) | An optional tooltip that gets displayed when hovering over the column label. |
disabled (bool or None) | Whether editing should be disabled for this column. Defaults to False. |
required (bool or None) | Whether edited cells in the column need to have a value. If True, an edited cell can only be submitted if it has a value other than None. Defaults to False. |
Examples
import pandas as pd
import streamlit as st
data_df = pd.DataFrame(
{
"widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],
}
)
st.data_editor(
data_df,
column_config={
"widgets": st.column_config.Column(
"Streamlit Widgets",
help="Streamlit **widget** commands 🎈",
width="medium",
required=True,
)
},
hide_index=True,
num_rows="dynamic",
)
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