Configure a bar chart column in st.dataframe or st.data_editor.
Cells need to contain a list of numbers. Chart columns are not editable at the moment. This command needs to be used in the column_config parameter of st.dataframe or st.data_editor.
| Function signature[source] | |
|---|---|
st.column_config.BarChartColumn(label=None, *, width=None, help=None, pinned=None, y_min=None, y_max=None) | |
| Parameters | |
label (str or None) | The label shown at the top of the column. If this is None (default), the column name is used. |
width ("small", "medium", "large", or None) | The display width of the column. If this is None (default), the column will be sized to fit the cell contents. Otherwise, this can be one of the following:
|
help (str or None) | An optional tooltip that gets displayed when hovering over the column label. If this is None (default), no tooltip is displayed. |
pinned (bool or None) | Whether the column is pinned. A pinned column will stay visible on the left side no matter where the user scrolls. If this is None (default), Streamlit will decide: index columns are pinned, and data columns are not pinned. |
y_min (int, float, or None) | The minimum value on the y-axis for all cells in the column. If this is None (default), every cell will use the minimum of its data. |
y_max (int, float, or None) | The maximum value on the y-axis for all cells in the column. If this is None (default), every cell will use the maximum of its data. |
Examples
import pandas as pd import streamlit as st data_df = pd.DataFrame( { "sales": [ [0, 4, 26, 80, 100, 40], [80, 20, 80, 35, 40, 100], [10, 20, 80, 80, 70, 0], [10, 100, 20, 100, 30, 100], ], } ) st.data_editor( data_df, column_config={ "sales": st.column_config.BarChartColumn( "Sales (last 6 months)", help="The sales volume in the last 6 months", y_min=0, y_max=100, ), }, hide_index=True, )
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