Plot individual agent attribute with datacollector.get_agent_vars_dataframe()

[erissatallan]

I'm trying to figure out a way to plot an agent attribute I've called assurance_probability by perhaps specifying their ID while plotting datacollector.get_agent_vars_dataframe().

At present my code look like this

if __name__ == "__main__":
    economyModel = EconomyModel(4, 10, 10, liquidityPoolModel)
    economyModel.execute_model(30)
    agent_assurance_probabilities = economyModel.datacollector.get_agent_vars_dataframe()
    print(agent_assurance_probabilities.head(n=40))

with sample output

[rht]

agent_assurance_probabilities is a DataFrame, and so you can do the usual DF filtering operation: agent_assurance_probabilities[agent_assurance_probabilities.AgentID == x], and plot the timeseries.