Visualisation: Allow different shapes agent portrayals

[EwoutH]

In the old visualisation you could add values like "Shape": "circle" and "Filled": "true" to the agent_portrayal dict.

With the new Solara based visualisation, that's not yet possible. It should be implemented in mesa/visualization/components. Somewhere around here:

mesa/mesa/visualization/components/altair.py

Lines 50 to 55 in 74e2df6

	has_color = "color" in all_agent_data[0]
	if has_color:
	encoding_dict["color"] = alt.Color("color", type="nominal")
	has_size = "size" in all_agent_data[0]
	if has_size:
	encoding_dict["size"] = alt.Size("size", type="quantitative")

and maybe also in:

mesa/mesa/visualization/components/matplotlib.py

Lines 40 to 47 in 74e2df6

	for agent in content:
	data = agent_portrayal(agent)
	x.append(i)
	y.append(j)
	if "size" in data:
	s.append(data["size"])
	if "color" in data:
	c.append(data["color"])

[EwoutH]

In think (in Altair) it's called a Mark: https://altair-viz.github.io/user_guide/marks/index.html

[Aryan1Mahahjan]

Hi, was thinking about using the below, which use the Encode function attribute

has_shape = "shape" in all_agent_data[0]
    if has_shape:
        encoding_dict["shape"] = agent_data["shape"]

has_fill = "fill" in all_agent_data[0]
    if has_shape:
        encoding_dict["fill"] = agent_data["fill"]

The provided code snippet checks for shape and fill keys in agent data. If present, it adds them to the encoding_dict using the corresponding keys shape and fill. This allows you to define visual properties like circle shapes and filled elements for agents in your visualization.

[EwoutH]

Looks like a good start! I think it does need to be passed to Altair or matplotlib later in the code.

Feel free to open a (draft) PR!