python bokeh

Bokeh is a Python library used for creating interactive visualizations and data applications in web browsers. It provides a high-level API for building plots, charts, and dashboards with a focus on interactivity, performance, and ease of use. Bokeh supports a wide range of output options, from static images to fully interactive HTML documents.

To get started with Bokeh, you can install it using pip:

pip install bokeh

Once installed, you can import the necessary modules and start creating visualizations. Here's a simple example that creates a scatter plot:

from bokeh.plotting import figure, show

# Create a figure object
p = figure(title='Scatter Plot', x_axis_label='X', y_axis_label='Y')

# Add data points to the plot
p.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5])

# Show the plot
show(p)

This is just a basic example, and Bokeh offers many more features and customization options. You can explore the official Bokeh documentation for more information and examples: https://docs.bokeh.org/