Streamlit app with sample data

 import streamlit as st

# Use st.cache_data for caching to avoid deprecation warning
import pandas as pd
import numpy as np
import pydeck as pdk
import as px

def load_data():
    # Sample data generation
    dates = pd.date_range('20230101', periods=6)
    df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))
    return df

def main():
    st.title("Dashboard with Cool Graphs and Maps")

    df = load_data()

    st.write("### Sample Data")

    st.write("### Line Chart")

About this template

A basic streamlit web app starting point

Introduction to the Streamlit Dashboard Template

Welcome to the Streamlit Dashboard Template! This template is designed to help you create a web application with interactive graphs and maps using Streamlit. The application includes a sample dataset and showcases different types of visualizations such as line charts, 3D maps, and regular maps. This step-by-step guide will walk you through how to use this template on the Lazy platform to build your own software application without worrying about environment setup or deployment.

Clicking Start with this Template

To begin using this template, simply click on the "Start with this Template" button on the Lazy platform. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code.

Test: Pressing the Test Button

Once you have the template loaded in the Lazy Builder, you can start the deployment of your app by pressing the "Test" button. This will launch the Lazy CLI, and the platform will handle the deployment process for you. If the code requires any user input, you will be prompted to provide it through the Lazy CLI after pressing the test button.

Using the App

After deployment, Lazy will provide you with a dedicated server link to access your Streamlit web application. Here's how to interact with the different components of the dashboard:

  • Sample Data: The app will display a table with sample data generated for demonstration purposes.
  • Line Chart: You can view a line chart visualization of the sample data.
  • 3D Map: Explore a 3D hexagon layer map with sample geographic data.
  • Regular Map: A regular 2D map is also available to view the geographic data points.

Feel free to interact with the visualizations and explore the capabilities of the Streamlit library within your app.

Integrating the App

If you wish to integrate this Streamlit app into another service or frontend, you may need to use the server link provided by Lazy. For example, you could embed the link in an iframe within another webpage or use it as part of a larger dashboard. If your integration requires API endpoints or specific scopes, make sure to adjust the code accordingly and follow the steps provided by the external tool you are integrating with.

Remember, no additional setup for environment variables is required for this template, and there is no need for external integrations unless you choose to do so as part of your project expansion.

By following these steps, you should now have a basic understanding of how to use the Streamlit Dashboard Template on the Lazy platform to create an interactive web application. Enjoy building your app!

Last published
July 20, 2024

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Streamlit app with sample data

A basic streamlit web app starting point

Streamlit app with sample data