Hey everyone! 👋
In this video, we’ll explore one of the most powerful Streamlit components for Python — Streamlit Ag-Grid. 🚀
Unlike the default `st.dataframe`, Ag-Grid allows you to select rows in your dataframe, which makes it super useful for creating drilldown views and interactive dashboards.
Full code : https://www.kaggle.com/code/krpurba/s...
Here’s what you’ll learn in this tutorial:
✅ Setting up a Python virtual environment with Streamlit & Ag-Grid
✅ Creating a basic Streamlit dashboard structure
✅ Install pre-requisites :
pip install streamlit
pip install streamlit-aggrid==1.1.7
pip install pandas
pip install plotly
✅ Displaying a dataframe using Ag-Grid with row selection (single or multiple)
✅ Adding CSV download functionality
✅ Building a drilldown view of selected rows
✅ Visualizing data with Plotly line charts
We’ll also walk through parameters like `selection_mode` and `use_checkbox` so you can customize how users interact with your dataframe.
This is a beginner-friendly yet practical guide for anyone who wants to level up their Streamlit dashboards with interactive tables and charts.
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