Display a bar chart.
This is just syntax-sugar around st.altair_chart. The main difference is this command uses the data's own column and indices to figure out the chart's spec. As a result this is easier to use for many "just plot this" scenarios, while being less customizable.
If st.bar_chart does not guess the data specification correctly, try specifying your desired chart using st.altair_chart.
Function signature | |
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st.bar_chart(data=None, width=0, height=0, use_container_width=True) | |
Parameters | |
data (pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict) | Data to be plotted. Pyarrow tables are not supported by Streamlit's legacy DataFrame serialization (i.e. with config.dataFrameSerialization = "legacy"). To use pyarrow tables, please enable pyarrow by changing the config setting, config.dataFrameSerialization = "arrow". |
width (int) | The chart width in pixels. If 0, selects the width automatically. |
height (int) | The chart height in pixels. If 0, selects the height automatically. |
use_container_width (bool) | If True, set the chart width to the column width. This takes precedence over the width argument. |
Example
chart_data = pd.DataFrame( np.random.randn(50, 3), columns=["a", "b", "c"]) st.bar_chart(chart_data)(view standalone Streamlit app)