Discord
Account
Edit Profile
My Plan
LogoutSample Streamlit App with Data
This video demonstrates how to use the Sample Streamlit App with Data template.
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 plotly.express as px
def load_data():
# Sample data generation
np.random.seed(0)
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(df)
st.write("### Line Chart")Frequently Asked Questions
What kind of business applications can this Streamlit dashboard template be used for?
This Streamlit dashboard template is versatile and can be applied to various business scenarios. It's particularly useful for data visualization and analysis in fields such as finance (displaying stock trends), marketing (showing campaign performance over time), or operations (visualizing geographical data). The template's ability to showcase line charts, 3D maps, and regular maps makes it suitable for businesses that need to present multi-dimensional data in an interactive and visually appealing manner.
How can this template help in decision-making processes for businesses?
The Streamlit dashboard template provides a powerful tool for data-driven decision-making. By presenting data in various formats (tables, line charts, and maps), it allows business leaders to quickly grasp trends, patterns, and geographical distributions. For example, the line chart could show sales trends over time, while the 3D map could visualize customer density in different areas. This comprehensive view of data can aid in strategic planning, resource allocation, and identifying areas of opportunity or concern.
Can this template be customized for specific industry needs?
Absolutely! The Streamlit dashboard template is highly customizable. While it comes with sample data and visualizations, you can easily modify it to fit specific industry needs. For instance, a retail business could adapt the map to show store locations and sales performance, while a logistics company might use it to visualize supply chain routes and delivery times. The flexibility of Streamlit and the included libraries (pandas, numpy, pydeck, plotly) allows for extensive customization to meet unique industry requirements.
How can I add more interactive features to this Streamlit dashboard template?
You can enhance the interactivity of the Streamlit dashboard template by incorporating Streamlit widgets. Here's an example of how you could add a date range selector to filter the line chart data:
```python import streamlit as st import pandas as pd
def main(): st.title("Dashboard with Interactive Features")
df = load_data() # Your existing load_data function
st.write("### Date Range Selector")
start_date = st.date_input("Start date", df.index.min())
end_date = st.date_input("End date", df.index.max())
filtered_df = df.loc[start_date:end_date]
st.write("### Filtered Line Chart")
st.line_chart(filtered_df)
if name == "main": main() ```
This code snippet adds date inputs that allow users to select a specific date range, filtering the data displayed in the line chart accordingly.
How can I deploy this Streamlit dashboard template for my team to use?
Deploying the Streamlit dashboard template for team use is straightforward. Here are the steps:
Created: | Last Updated:
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!
Template Benefits
-
Rapid Prototyping: This template provides a quick starting point for creating interactive data visualizations and dashboards, allowing businesses to prototype ideas and concepts rapidly without extensive coding.
-
Data-Driven Decision Making: By incorporating various chart types and maps, this template enables businesses to visualize complex data sets easily, facilitating data-driven decision-making processes across different departments.
-
Stakeholder Communication: The interactive nature of Streamlit apps makes it an excellent tool for presenting data to stakeholders, investors, or clients in an engaging and easily understandable format.
-
Operational Insights: The combination of charts and maps can be particularly useful for businesses with geographical data, helping to identify trends, patterns, or anomalies in operations across different locations.
-
Cost-Effective Development: Using Python and open-source libraries like Streamlit, pandas, and plotly reduces development costs while still providing powerful data visualization capabilities, making it an attractive option for startups and small to medium-sized businesses.
Technologies
Streamlit Templates for Dashboards, Apps, Design and UI
