![]() TextColumn("Widgets", max_chars=50, validate="^st\. $")Ĭonfigure a number column. Column("Streamlit Widgets", width="medium", help="Streamlit **widget** commands ?")Ĭonfigure a text column. Whether it's translating temporal data into user-friendly formats or utilizing charts and progress bars for clearer data visualization, column configuration not only provides the user with an enriched data viewing experience but also ensures that you're equipped with the tools to present and interact with your data, just the way you want it. Specifically designed for the column_config parameter in st.dataframe and st.data_editor, it provides a suite of methods to tailor your columns to various data types - from simple text and numbers to lists, URLs, images, and more. When working with data in Streamlit, the st.column_config class is a powerful tool for configuring data display and interaction. St.dataframe(df, use_container_width=st.session_e_container_width) # across the full width of the container, based on the checkbox value # Display the dataframe and allow the user to stretch the dataframe St.checkbox("Use container width", value=False, key="use_container_width") # Boolean to resize the dataframe, stored as a session state variable # Cache the dataframe so it's only loaded load_data(): St.dataframe supports the use_container_width parameter to stretch across the full container width: import pandas as pd "views_history": st.column_config.LineChartColumn( "url": st.column_config.LinkColumn("App URL"), Or you can customize the dataframe via column_config, hide_index, or column_order: St.dataframe(df.style.highlight_max(axis=0)) You can also pass a Pandas Styler object to change the style of ![]() ![]() ![]() To configure the index column(s), use _index as the column name.Ĭolumns=('col %d' % i for i in range(20))) See more info on the available column types St.column_config.NumberColumn("Dollar values”, format=”$ %d") to showĪ column as dollar amounts. One of the column types defined under st.column_config, e.g.A string to set the display label of the column.This needs to be a dictionary where each key is a column name and Configures how columns are displayed, e.g. ![]()
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