# Add a line to the plot p.line(x, y, legend_label="sin(x)", line_width=2)
To get started with Bokeh 2.3.3, you can use the following example code: bokeh 2.3.3
import numpy as np from bokeh.plotting import figure, show # Add a line to the plot p
Bokeh is an open-source Python library designed to help data scientists and developers create interactive visualizations and dashboards. It provides a high-level interface for drawing plots, charts, and other graphical elements, making it easy to create web-based interactive plots. Bokeh's primary goal is to provide a simple and elegant way to create interactive visualizations that can be easily shared and deployed. # Show the results show(p) This code creates
# Show the results show(p) This code creates a simple line plot using Bokeh 2.3.3.
Bokeh 2.3.3 is a powerful and feature-rich library for creating interactive visualizations and dashboards. With its improved performance, enhanced HoverTool, and new color palette, Bokeh 2.3.3 provides a comprehensive platform for data scientists and developers to create stunning visuals. Whether you're working with big data, creating dashboards, or simply exploring data, Bokeh 2.3.3 is an ideal choice. Try it out today and unlock the full potential of your data!