streamlit plot line chart that can analyze and set large on certain parts

Here's an example of how to create a line chart in Streamlit that allows you to analyze and zoom in on certain parts of the chart:

import streamlit as st
import pandas as pd
import altair as alt

# Load data
data = pd.read_csv("your_data.csv")

# Define chart
chart = alt.Chart(data).mark_line().encode(
    x="date:T",
    y="value:Q"
)

# Add zoom functionality
brush = alt.selection(type="interval", encodings=["x"])

zoomed_chart = chart.add_selection(brush).properties(
    width=800,
    height=300
).transform_filter(brush)

# Add chart to Streamlit app
st.altair_chart(zoomed_chart)

In this example, we first load our data from a CSV file. We then define our chart using Altair, which is a powerful data visualization library that works well with Streamlit.

The mark_line() function tells Altair to create a line chart, and we use the encode() function to specify which columns from our data to use for the x and y axes.

Next, we add zoom functionality to our chart using the selection() function. We specify that the selection type should be an interval selection, and that it should only affect the x encoding of our chart.

We then create a new chart called zoomed_chart that uses our original chart as a base, but adds the selection brush to allow the user to zoom in on a specific part of the chart.

Finally, we add our chart to our Streamlit app using the st.altair_chart() function.

With this chart, the user can click and drag on the x-axis to zoom in on a specific part of the chart, allowing them to analyze and set large on certain parts of the data