Configure a number column in st.dataframe or st.data_editor.
This is the default column type for integer and float values. This command needs to be used in the column_config parameter of st.dataframe or st.data_editor. When used with st.data_editor, editing will be enabled with a numeric input widget.
| Function signature[source] | |
|---|---|
st.column_config.NumberColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=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. |
default (int, float, or None) | Specifies the default value in this column when a new row is added by the user. |
format (str or None) | A printf-style format string controlling how numbers are displayed. This does not impact the return value. Valid formatters: %d %e %f %g %i %u. You can also add prefixes and suffixes, e.g. "$ %.2f" to show a dollar prefix. |
min_value (int, float, or None) | The minimum value that can be entered. If None (default), there will be no minimum. |
max_value (int, float, or None) | The maximum value that can be entered. If None (default), there will be no maximum. |
step (int, float, or None) | The stepping interval. Specifies the precision of numbers that can be entered. If None (default), uses 1 for integers and unrestricted precision for floats. |
Examples
import pandas as pd import streamlit as st data_df = pd.DataFrame( { "price": [20, 950, 250, 500], } ) st.data_editor( data_df, column_config={ "price": st.column_config.NumberColumn( "Price (in USD)", help="The price of the product in USD", min_value=0, max_value=1000, step=1, format="$%d", ) }, hide_index=True, )
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