When you're working with data, it is extremely valuable to visualize that data quickly, interactively, and from multiple different angles. That's what Streamlit is actually built and optimized for.
You can display data via charts, and you can display it in raw form. These are the Streamlit commands you can use to display and interact with raw data.
Display a dataframe as an interactive table.
Display a data editor widget.
edited = st.data_editor(df, num_rows="dynamic")
Configure the display and editing behavior of dataframes and data editors.
st.column_config.NumberColumn("Price (in USD)", min_value=0, format="$%d")
Display a static table.
Display a metric in big bold font, with an optional indicator of how the metric changed.
st.metric("My metric", 42, 2)
Dicts and JSON
Display object or string as a pretty-printed JSON string.
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