merge experimental schelling into schelling example

Author: wang-boyu

README.md

@@ -122,10 +122,6 @@ Boltzmann Wealth model with the experimental Juptyer notebook visualization feat
 
 A modified version of the [Bank Reserves](https://github.com/projectmesa/mesa-examples/tree/main/examples/bank_reserves) example made to provide examples of Mesa's charting tools.
 
-### [Schelling Segregation Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling_experimental)
-
-Schelling segregation model with the experimental Juptyer notebook visualization feature.
-
 ### [Shape Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/shape_example)
 
 Example of grid display and direction showing agents in the form of arrow-head shape.

examples/schelling/README.md

@@ -16,21 +16,13 @@ To install the dependencies use pip and the requirements.txt in this directory.
 
 ## How to Run
 
-To run the model interactively, run ``mesa runserver`` in this directory. e.g.
+To run the model interactively, in this directory, run the following command
 
 ```
-    $ mesa runserver
+    $ solara run app.py
 ```
 
-or
-
-Directly run the file ``run.py`` in the terminal. e.g.
-
-```
-    $ python run.py
-```
-
-Then open your browser to [http://127.0.0.1:8521/](http://127.0.0.1:8521/) and press Reset, then Run.
+Then open your browser to [http://127.0.0.1:8765/](http://127.0.0.1:8765/) and click the Play button.
 
 To view and run some example model analyses, launch the IPython Notebook and open ``analysis.ipynb``. Visualizing the analysis also requires [matplotlib](http://matplotlib.org/).
 
@@ -40,10 +32,9 @@ To run the model with the grid displayed as an ASCII text, run `python run_ascii
 
 ## Files
 
-* ``run.py``: Launches a model visualization server.
+* ``app.py``: Code for the interactive visualization.
 * ``run_ascii.py``: Run the model in text mode.
 * ``schelling.py``: Contains the agent class, and the overall model class.
-* ``server.py``: Defines classes for visualizing the model in the browser via Mesa's modular server, and instantiates a visualization server.
 * ``analysis.ipynb``: Notebook demonstrating how to run experiments and parameter sweeps on the model.
 
 ## Further Reading

examples/schelling_experimental/app.py renamed to examples/schelling/app.py

@@ -1,12 +1,18 @@
-from mesa.visualization import Slider, SolaraViz, make_plot_measure
+import solara
+from mesa.visualization import (
+    Slider,
+    SolaraViz,
+    make_plot_measure,
+    make_space_matplotlib,
+)
 from model import Schelling
 
 
 def get_happy_agents(model):
     """
     Display a text count of how many happy agents there are.
     """
-    return f"Happy agents: {model.happy}"
+    return solara.Markdown(f"**Happy agents: {model.happy}**")
 
 
 def agent_portrayal(agent):
@@ -27,7 +33,11 @@ def agent_portrayal(agent):
 
 page = SolaraViz(
     model1,
-    components=[HappyPlot, get_happy_agents],
+    components=[
+        make_space_matplotlib(agent_portrayal),
+        make_plot_measure("happy"),
+        get_happy_agents,
+    ],
     model_params=model_params,
 )
 page  # noqa

examples/schelling/requirements.txt

@@ -1,3 +1,3 @@
 jupyter
 matplotlib
-mesa~=2.0
+mesa[viz]>=3.0.0b0