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How to create scatter plot with Bokeh

gcptutorials.com Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming dataset.

  • If Bokeh is not installed than install it with below command.
    • pip install bokeh
  • create python file with name "bokeh_demo.py" and import bokeh and numpy libraries

    • from bokeh.plotting import figure, output_file, show
    import numpy as np

  • Prepare data for charts
    • x = np.arange(1,100,step=1.5)
    y = np.square(x)

  • Provide html file name and create plot and show plot
    • output_file("scatter.html")
    p = figure(title="Bokeh scatter plot", x_axis_label='x', y_axis_label='y')
    p.scatter(x, y, legend="Scatter.")

    Complete code for creating the scatter plot with Bokeh

    bokeh-scatter-plot

  • Run the file and you should be able to view below output in browser

    • bokeh-scatter-output

    Category: Python