class education_recorder(**kwargs)[source]#

Bases: Analyzer

Analyzer records all education attributes of females + pregnancy + living status for all timesteps. Made for debugging purposes.

  • args (list) – additional timestep(s)

  • kwargs (dict) – passed to Analyzer()



Apply snapshot at each timestep listed in timesteps and save result at snapshot[str(timestep)]


Process data in snapshots so we can plot it easily

plot(index=0, fig_args=None, pl_args=None)[source]#

Plots time series of each state as a line graph :type index: :param index: index of the female individual, must be less the analyzer’s max_pop_size

plot_waterfall(max_timepoints=30, min_age=18, max_age=40, fig_args=None, pl_args=None)[source]#

Plot a waterfall plot showing the evolution of education objective and attainment over time for a specified age group.

  • max_timepoints (int, optional) – The maximum number of timepoints to plot, defaults to 30.

  • min_age (int, optional) – The minimum age for the age group, defaults to 18.

  • max_age (int, optional) – The maximum age for the age group, defaults to 20.


figure handle

The function generates uses kernel density estimation to visualize the data. If there’s not data for the min max age specified, for a specific time step (ie, there are no agents in that age group), it adds a textbox. This is an edge case that can happen for a simulation with very few agents, and a very narrow age group.