Found some things in the tutorial:
When you introduced numpy to visualize the number of agents, the code reads
cell_wealth = len(cell_content)
but it isn't the wealth, but the number of agents that is visualized. This confused me a bit.
Under the heading "Collecting Data":
I guess instead of
end_wealth = agent_wealth.xs(19, level="Step")["Wealth"]
it should be
end_wealth = agent_wealth.xs(99, level="Step")["Wealth"]
since the model ran for 100 time steps?
Also in the code example for "Setting up the model" it says:
self.running = True
Which is later omitted, but not explained?
But most of all: Thanks for this great abm framework!
Your's Felix