106 lines
3.3 KiB
Plaintext
106 lines
3.3 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2120045b",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"\n",
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"class Walker:\n",
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" \"\"\" The Walker knows how to walk at random on a context map. \"\"\"\n",
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"\n",
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" def __init__(self, sigma_i, sigma_j, size, map_type='flat'):\n",
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" # ...\n",
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"\n",
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" def plot_trajectory(self, trajectory):\n",
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" \"\"\" Plot a trajectory over a context map. \"\"\"\n",
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" trajectory = np.asarray(trajectory)\n",
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" plt.matshow(self.context_map)\n",
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" plt.plot(trajectory[:, 1], trajectory[:, 0], color='r')\n",
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" plt.show()\n",
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"\n",
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" def plot_trajectory_hexbin(self, trajectory):\n",
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" \"\"\" Plot an hexagonal density map of a trajectory. \"\"\"\n",
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" trajectory = np.asarray(trajectory)\n",
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" with plt.rc_context({'figure.figsize': (4, 4), \n",
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" 'axes.labelsize': 16, \n",
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" 'xtick.labelsize': 14, \n",
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" 'ytick.labelsize': 14}):\n",
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" plt.hexbin(\n",
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" trajectory[:, 1], trajectory[:, 0], \n",
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" gridsize=30, extent=(0, 200, 0, 200), \n",
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" edgecolors='none', cmap='Reds'\n",
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" )\n",
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" plt.gca().invert_yaxis()\n",
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" plt.xlabel('X')\n",
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" plt.ylabel('Y')\n",
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" \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e8b1035c",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"\n",
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"class Walker:\n",
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" \"\"\" The Walker knows how to walk at random on a context map. \"\"\"\n",
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"\n",
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" def __init__(self, sigma_i, sigma_j, size, map_type='flat'):\n",
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" # ...\n",
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"\n",
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" def plot_trajectory(self, trajectory):\n",
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" \"\"\" Plot a trajectory over a context map. \"\"\"\n",
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" trajectory = np.asarray(trajectory)\n",
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" plt.matshow(self.context_map)\n",
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" plt.plot(trajectory[:, 1], trajectory[:, 0], color='r')\n",
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" plt.show()\n",
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"\n",
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" def plot_trajectory_hexbin(self, trajectory):\n",
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" \"\"\" Plot an hexagonal density map of a trajectory. \"\"\"\n",
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" trajectory = np.asarray(trajectory)\n",
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" plt.hexbin(\n",
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" trajectory[:, 1], trajectory[:, 0], \n",
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" gridsize=30, extent=(0, 200, 0, 200), \n",
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" edgecolors='none', cmap='Reds'\n",
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" )\n",
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" plt.gca().invert_yaxis()\n",
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" plt.xlabel('X')\n",
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" plt.ylabel('Y')\n",
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" \n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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