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Enhance your Jupyter Notebook with interactive widgets and layouts using Panel. Panel makes it easy to build dynamic interfaces directly in your notebook, turning static analyses into interactive explorations.

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Table of Contents

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Prerequisites

  • Jupyter Notebook (or JupyterLab)
  • Python 3.7+
  • Panel library
If you haven’t installed Panel yet, run:
pip install panel

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Step 1: Install and Enable Panel

Start your notebook and enable Panel’s extension: 
import panel as pn

# Activate Panel in this notebook
pn.extension()

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Step 2: Import Panel and Define Widgets

Create a text input and a button. The text input will display the click count. 
# TextInput widget initialized with a default message
text_input = pn.widgets.TextInput(value='Ready')

# Button widget with a primary style
button = pn.widgets.Button(name='Click me', button_type='primary')

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Step 3: Create an Event Handler

Define a callback function to update the text input whenever the button is clicked: 
def increment_clicks(event):
    """Update the text_input value based on button.clicks."""
    text_input.value = f'Clicked {button.clicks} times'

# Register the handler
button.on_click(increment_clicks)

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Step 4: Display Widgets in a Layout

Arrange the button and text input side by side using pn.Row: 
# Render the widgets in a single row
pn.Row(button, text_input)
After running the cell above, you’ll see:
  • A Click me button
  • A text box initially showing Ready
Each click updates the text box to reflect the total number of clicks, demonstrating a simple interactive interface.

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Widget Reference Table

WidgetPurposeKey Property
TextInputDisplay and update dynamic textvalue='Ready'
ButtonCapture and respond to user clicksbutton_type='primary'

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Additional Resources

Build on this pattern to create dashboards, data explorers, and more within your Jupyter environment!

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