use quantecon's rank_size_plot

[jstac]

Do a search for all rst files that contain rank_size.

Replace the rank size plotting code there with the code in this PR as soon as it is merged.

[Harveyt47]

Hi @jstac I can only see rank size plots in the following lectures.

Heavy-Tailed Distributions this lecture uses log on the variables then plots those log variables while the PR you link uses ax.loglog().

Wealth Distribution Dynamics this lecture uses log on the variables then plots those log variables while the PR you link uses ax.loglog()

Kesten Processes and Firm Dynamics
This lecture uses the QuantEcon.py library

Do you prefer the use of ax.loglog() over log on the variables?

[jstac]

Yes, thanks @Harveyt47, the first two should be changed to use the quantecon Python library.

In each case, the code that generates a rank size plot from the data should be removed and the function qe.rank_size_plot should be used -- the data should be passed directly to this function. When the exercise is stated, the reader should be informed of the existence of this library function.

[Harveyt47]

Thanks @jstac I see now.

1. I will add a reference of the functions existance as well as a link to the documentation to the exercise question.

2. I will also remove the code of the function from the answer and call the function via qe.rank_size_plot.