A simple plot with Python and Bokeh | Compass Mentis – Coen de Groot

▤ Summary

Python is a simple but powerful language, and comes with a wealth of libraries. All the hard work is done by the Bokeh library. You can find the raw code at the end of this post or at the GitHub repository Before installing Bokeh, to keep your Python version(s) clean, you may want to set up a virtual environment first 1. from bokeh.plotting import figure, show Import part of bokeh, so we can create and show a figure 2. import math We’ll use the math module to generate the points on the charts 3. x_values = range(0, 720) The x axis contains the numbers from 0 to 719 (Python stops just before 720) 4. y_values = [math.sin(math.radians(x)) for x in x_values] For each of the x values, the y value is sine of x. Python’s sin function expects the angle in radians rather than degrees. We use something called ‘list comprehension’ here, to build up the list of y axis values. 5. p = figure(title=’10 Sine waves’, x_axis_label=’x (degrees)’, y_axis_label=’y = sin(x)’, plot_width=850, plot_height=350) Create an empty Bokeh figure, and set the title, labels, width and height 6. for i in range(10): We’re drawing the same sine curve 10 times, at 10%, 20%, … 100% of the full height For i is 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, do the following: 8. p.line(x_values, [y * factor for y in y_values]) Add a line to the figure, using the original list of x_values, but scale down the y_values by the current factor 9. show(p) Ask Bokeh to show the result in your browser

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