Bokeh

How to use Bokeh

Bokeh is a Python library that provides interactive visualizations for web browsers. Here are the steps to use Bokeh:

1. Install Bokeh: First, you need to install Bokeh on your computer or server where you will be running your Python code. You can do this by using pip, the package installer for Python. Open your command prompt and run the following command:

pip install bokeh

1. Import Bokeh: Once you have installed Bokeh, you can import it in your Python code using the following command:

from bokeh.plotting import figure, output_file, show

1. Create a plot: You can create a plot using the
   figure
   function from Bokeh. You can pass various parameters to this function to customize your plot, such as the title, axis labels, and plot dimensions.

p = figure(title="My Plot", x_axis_label='X', y_axis_label='Y', plot_width=400, plot_height=400)

1. Add data to the plot: After you have created a plot, you can add data to it using various glyph functions provided by Bokeh. For example, you can add circles to the plot with the
   circle
   function.

p.circle([1, 2, 3], [4, 5, 6], size=10, color="navy", alpha=0.5)

1. Specify output options: Before you can display or save your plot, you need to specify the output options. You can do this using the
   output_file
   function from Bokeh.

output_file("myplot.html")

1. Display or save the plot: Finally, you can display or save your plot using the
   show
   function from Bokeh.

show(p)

Alternatively, you can save the plot to a file using the

function.

from bokeh.io import export_png
export_png(p, filename="myplot.png")

These are the basic steps you need to follow to use Bokeh. However, Bokeh provides many more features and customization options, such as different types of glyphs, layouts, and interactive widgets. You can explore these features in the Bokeh documentation and examples gallery.