Advanced 📊 Data & Tables

DataGrid + Pandas Analytics

Build a powerful data analytics dashboard using Python's pandas library for data manipulation and matplotlib for chart generation, all displayed in WebVB Studio's DataGrid control. Analyze webshop data with filtering, sorting, aggregation, and visual charts. A real-world example of combining Python data science tools with a visual GUI.

Python Pandas Matplotlib DataGrid
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What You'll Learn

1
Use Python pandas for data manipulation in a GUI app
2
Create matplotlib charts and display them
3
Populate DataGrid with pandas DataFrames
4
Filter, sort, and aggregate data interactively

Controls Used

D
DataGrid
C
Chart
C
CommandButton
C
ComboBox

Use Cases

  • Business intelligence dashboards
  • Data science GUI tools
  • E-commerce analytics
📊

Try the DataGrid + Pandas Analytics Example

Open this example in WebVB Studio and start experimenting. Modify the code, tweak the controls, and make it your own.

Open in WebVB Studio

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