rename make_plot_measure to make_plot_component and add some kwargs

docs/migration_guide.md

@@ -281,15 +281,17 @@ SolaraViz(model, components=[make_space_component(agent_portrayal)])
 # old
 from mesa.experimental import SolaraViz
 
+
 def make_plot(model):
     ...
 
+
 SolaraViz(model_cls, model_params, measures=[make_plot, "foo", ["bar", "baz"]])
 
 # new
-from mesa.visualization import SolaraViz, make_plot_measure
+from mesa.visualization import SolaraViz, make_plot_component
 
-SolaraViz(model, components=[make_plot, make_plot_measure("foo"), make_plot_measure("bar", "baz")])
+SolaraViz(model, components=[make_plot, make_plot_component("foo"), make_plot_component("bar", "baz")])
 ```
 
 #### Plotting text

docs/overview.md

@@ -168,31 +168,31 @@ The results are returned as a list of dictionaries, which can be easily converte
 Mesa now uses a new browser-based visualization system called SolaraViz. This allows for interactive, customizable visualizations of your models. Here's a basic example of how to set up a visualization:
 
 ```python
-from mesa.visualization import SolaraViz, make_space_component, make_plot_measure
+from mesa.visualization import SolaraViz, make_space_component, make_plot_component
 
 
 def agent_portrayal(agent):
-    return {"color": "blue", "size": 50}
+   return {"color": "blue", "size": 50}
 
 
 model_params = {
-    "N": {
-        "type": "SliderInt",
-        "value": 50,
-        "label": "Number of agents:",
-        "min": 10,
-        "max": 100,
-        "step": 1,
-    }
+   "N": {
+      "type": "SliderInt",
+      "value": 50,
+      "label": "Number of agents:",
+      "min": 10,
+      "max": 100,
+      "step": 1,
+   }
 }
 
 page = SolaraViz(
-    MyModel,
-    [
-        make_space_component(agent_portrayal),
-        make_plot_measure("mean_age")
-    ],
-    model_params=model_params
+   MyModel,
+   [
+      make_space_component(agent_portrayal),
+      make_plot_component("mean_age")
+   ],
+   model_params=model_params
 )
 page
 ```