Creating Charts

Streamlit has simple chart functions and supports popular visualization libraries.

Built-in charts:

import streamlit as st
import pandas as pd

df = pd.DataFrame({"x": [1, 2, 3], "y": [10, 20, 15]})

st.line_chart(df)
st.bar_chart(df)
st.area_chart(df)

These are quick and easy - just pass a DataFrame.

For more control, use Plotly, Altair, or Matplotlib:

import plotly.express as px

fig = px.scatter(df, x="x", y="y", title="My Chart")
st.plotly_chart(fig)

Matplotlib works too:

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.plot(df["x"], df["y"])
st.pyplot(fig)

Choose based on your needs - built-in for speed, libraries for customization.

I cover visualization in my Streamlit course.