plot_ages#

plot_ages(pop, **kwargs)[source]#

Plot a comparison of the expected and generated age distribution.

Parameters:

• pop (pop object) – population, either synthpops.pop.Pop, sp.people.People, or dict

• **left (float) – Matplotlib.figure.subplot.left

• **right (float) – Matplotlib.figure.subplot.right

• **top (float) – Matplotlib.figure.subplot.top

• **bottom (float) – Matplotlib.figure.subplot.bottom

• **color_1 (str) – color for expected data

• **color_2 (str) – color for data from generated population

• **fontsize (float) – Matplotlib.figure.fontsize

• **figname (str) – name to save figure to disk

• **comparison (bool) – If True, plot comparison to the generated population

• **do_show (bool) – If True, show the plot

• **do_save (bool) – If True, save the plot to disk

Returns:

Matplotlib figure and axes.

Note

If using pop with type sp.people.Pop or dict, args must be supplied for the location parameters to get the expected distribution.

Example:

pars = {'n': 10e3, 'location':'seattle_metro', 'state_location':'Washington', 'country_location':'usa'}
pop = sp.Pop(**pars)
fig, ax = pop.plot_age_distribution_comparison()

popdict = pop.to_dict()
kwargs = pars.copy()
kwargs['datadir'] = sp.datadir
fig, ax = sp.plot_age_distribution_comparison(popdict, **kwargs)