Hi! Thank you so much for your advice, the line you provided worked! I'm still having trouble selecting just the resources (using nearby_resources = nearby_agents(nearby_agents.state == "resource") I get TypeError: 'AgentList' object is not callable), and like the idea of putting the resources in a separate Space. I was wondering then if ipysimulate would be able to support visualizing agents in both spaces simultaneously? Currently, I'm using:

scatterplot = ips.Scatterplot(
    control,
    xy=lambda m: m.space.positions.values(),
    c=lambda m: m.agents.state
)

and it's not immediately clear to me how to specify a second Space to be overlaid. Thanks!

Hi @fl-hat. The feature to call agent lists directly has been deprecated, so now it is nearby_resources = nearby_agents.select(nearby_agents.state == "resource"). If there was a part of the documentation that told you otherwise, please let me know!

Regarding plotting both spaces, you would need to iterate over both. You could do this with itertools:

import agentpy as ap
import itertools

def MyModel(ap.Model):
    def setup(self):
        self.agents1 = ap.AgentList(...)
        self.agents2 = ap.AgentList(...)
        self.agents = self.agents1 + self.agents2

        self.space1 = ap.Space(...)
        self.space1.add_agents(self.agents1, ...)
        self.space2 = ap.Space(...)        
        self.space2.add_agents(self.agents1, ...)

...

def both_space_positions(m):
    i1 = m.space1.positions.values()
    i2 = m.space2.positions.values()
    return itertools.chain(i1, i2)

scatterplot = ips.Scatterplot(
    control,
    xy=both_space_positions,
    c=lambda m: m.agents.state
)

In the future I hope to offer more convenient tools to do this!