Modeling and Simulation in Python: An Introduction for Scientists and Engineers by Allen B. Downey

Author:Allen B. Downey
Language: eng
Format: epub
Publisher: No Starch Press, Inc.
Published: 2023-04-15T00:00:00+00:00

decorate(xlabel='Contact rate (beta)',

ylabel='Fraction infected',

title='Sweep beta, multiple values of gamma')

Alternatively, we can plot each row like this:

for beta in [0.2, 0.5, 0.8, 1.1]:

label = f'beta = {beta}'

frame.loc[beta].plot(label=label)

decorate(xlabel='Recovery rate (gamma)',

ylabel='Fraction infected',

title='Sweep gamma, multiple values of beta')

This example demonstrates one use of a SweepFrame: we can run the analysis once, save the results, and then generate different visualizations.

Another way to visualize the results of a two-dimensional sweep is a contour plot, which shows the parameters on the axes and contour lines where the value of the metric is constant. The ModSim library provides contour, which takes a SweepFrame and uses Matplotlib to generate a contour plot:

contour(frame)

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