[Python] How do I create a Bar Plot using CSV file, Pandas & Plotly or any other method that...

Is there a way to make a Bar Chart not be this small? I have thousands of horizontal bars in my chart, so I want to scroll up/down and every time I add a new plot the chart data keeps shrinking? I want to keep scrolling without any changes in size, is this possible?

import pandas as pd
import plotly.graph_objects as go
from dash import Dash, html, dcc

# Load data from CSV
csv_file = 'prices.csv'
df = pd.read_csv(csv_file)

# Create the Dash app
app = Dash(__name__)

# Define the layout of the app
app.layout = html.Div(
[
dcc.Graph(
figure=go.Figure(
data=[go.Bar(y=df['price'], x=df['list'], orientation='h')],
layout={
'height': 2500 # Adjust height to control scrollbar visibility
}
)
),
],
style={
'overflow-y': 'auto',
'height': 800 # Set a fixed height for the scrollable area
}
)

if __name__ == '__main__':
app.run(debug=True)


What it presently looks like:

At the end I want to achieve a plot like below (Source: Random Image on the Internet)`

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