money_model_visualization.ipynb

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   "source": [
    "import mesa\n",
    "from mesa_models.boltzmann_wealth_model.model import BoltzmannWealthModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "234772ae-8c4a-4a5a-bfd8-91ff5b2d9650",
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    "def agent_portrayal(agent):\n",
    "    size = 10\n",
    "    color = \"tab:red\"\n",
    "    if agent.wealth > 0:\n",
    "        size = 50\n",
    "        color = \"tab:blue\"\n",
    "    return {\"size\": size, \"color\": color}"
   ]
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    "model_params = {\n",
    "    \"N\": {\n",
    "        \"type\": \"SliderInt\",\n",
    "        \"value\": 50,\n",
    "        \"label\": \"Number of agents:\",\n",
    "        \"min\": 10,\n",
    "        \"max\": 100,\n",
    "        \"step\": 1,\n",
    "    },\n",
    "    \"width\": 10,\n",
    "    \"height\": 10,\n",
    "}"
   ]
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  {
   "cell_type": "code",
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   "source": [
    "# make custom visualization\n",
    "\n",
    "import solara\n",
    "from matplotlib.figure import Figure\n",
    "\n",
    "\n",
    "def make_histogram(model):\n",
    "    # Note: you must initialize a figure using this method instead of\n",
    "    # plt.figure(), for thread safety purpose\n",
    "    fig = Figure()\n",
    "    ax = fig.subplots()\n",
    "    wealth_vals = [agent.wealth for agent in model.schedule.agents]\n",
    "    # Note: you have to use Matplotlib's OOP API instead of plt.hist\n",
    "    # because plt.hist is not thread-safe.\n",
    "    ax.hist(wealth_vals, bins=10)\n",
    "    solara.FigureMatplotlib(fig)"
   ]
  },
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     "metadata": {},
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   "source": [
    "from mesa.experimental import JupyterViz\n",
    "\n",
    "page = JupyterViz(\n",
    "    BoltzmannWealthModel,\n",
    "    model_params,\n",
    "    measures=[\"Gini\"],\n",
    "    name=\"Money Model\",\n",
    "    agent_portrayal=agent_portrayal,\n",
    ")\n",
    "\n",
    "page"
   ]
  }
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