{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2120045b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "class Walker:\n",
    "    \"\"\" The Walker knows how to walk at random on a context map. \"\"\"\n",
    "\n",
    "    def __init__(self, sigma_i, sigma_j, size, map_type='flat'):\n",
    "        # ...\n",
    "\n",
    "    def plot_trajectory(self, trajectory):\n",
    "        \"\"\" Plot a trajectory over a context map. \"\"\"\n",
    "        trajectory = np.asarray(trajectory)\n",
    "        plt.matshow(self.context_map)\n",
    "        plt.plot(trajectory[:, 1], trajectory[:, 0], color='r')\n",
    "        plt.show()\n",
    "\n",
    "    def plot_trajectory_hexbin(self, trajectory):\n",
    "        \"\"\" Plot an hexagonal density map of a trajectory. \"\"\"\n",
    "        trajectory = np.asarray(trajectory)\n",
    "        with plt.rc_context({'figure.figsize': (4, 4), \n",
    "                             'axes.labelsize': 16, \n",
    "                             'xtick.labelsize': 14, \n",
    "                             'ytick.labelsize': 14}):\n",
    "            plt.hexbin(\n",
    "                trajectory[:, 1], trajectory[:, 0], \n",
    "                gridsize=30, extent=(0, 200, 0, 200), \n",
    "                edgecolors='none', cmap='Reds'\n",
    "            )\n",
    "            plt.gca().invert_yaxis()\n",
    "            plt.xlabel('X')\n",
    "            plt.ylabel('Y')\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8b1035c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "class Walker:\n",
    "    \"\"\" The Walker knows how to walk at random on a context map. \"\"\"\n",
    "\n",
    "    def __init__(self, sigma_i, sigma_j, size, map_type='flat'):\n",
    "        # ...\n",
    "\n",
    "    def plot_trajectory(self, trajectory):\n",
    "        \"\"\" Plot a trajectory over a context map. \"\"\"\n",
    "        trajectory = np.asarray(trajectory)\n",
    "        plt.matshow(self.context_map)\n",
    "        plt.plot(trajectory[:, 1], trajectory[:, 0], color='r')\n",
    "        plt.show()\n",
    "\n",
    "    def plot_trajectory_hexbin(self, trajectory):\n",
    "        \"\"\" Plot an hexagonal density map of a trajectory. \"\"\"\n",
    "        trajectory = np.asarray(trajectory)\n",
    "        plt.hexbin(\n",
    "            trajectory[:, 1], trajectory[:, 0], \n",
    "            gridsize=30, extent=(0, 200, 0, 200), \n",
    "            edgecolors='none', cmap='Reds'\n",
    "        )\n",
    "        plt.gca().invert_yaxis()\n",
    "        plt.xlabel('X')\n",
    "        plt.ylabel('Y')\n",
    "        \n"
   ]
  }
 ],
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