Incomplete plotting_a_dataset notebook

arjxn-py · Jun 8, 2024 · b9e3d65 · b9e3d65
1 parent a1eaa84
commit b9e3d65
Showing 1 changed file with 105 additions and 0 deletions.
diff --git a/examples/notebooks/Getting Started/plotting_a_dataset.ipynb b/examples/notebooks/Getting Started/plotting_a_dataset.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Note: you may need to restart the kernel to use updated packages.\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "ERROR: file:///D:/Arjun/PyBOP/examples/notebooks/Getting%20Started does not appear to be a Python project: neither 'setup.py' nor 'pyproject.toml' found.\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install --upgrade pip ipywidgets pybamm -q\n",
+    "%pip install pybop -q\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import plotly.graph_objects as go\n",
+    "import pybamm\n",
+    "import pybop\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'pybop.models.lithium_ion' has no attribute 'DFN'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[27], line 4\u001b[0m\n\u001b[0;32m      2\u001b[0m parameter_set \u001b[38;5;241m=\u001b[39m pybop\u001b[38;5;241m.\u001b[39mParameterSet\u001b[38;5;241m.\u001b[39mpybamm(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mChen2020\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      3\u001b[0m parameter_set \u001b[38;5;241m=\u001b[39m pybamm\u001b[38;5;241m.\u001b[39mget_size_distribution_parameters(parameter_set)\n\u001b[1;32m----> 4\u001b[0m synth_model \u001b[38;5;241m=\u001b[39m \u001b[43mpybop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlithium_ion\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDFN\u001b[49m(\n\u001b[0;32m      5\u001b[0m     parameter_set\u001b[38;5;241m=\u001b[39mparameter_set, options\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparticle size\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdistribution\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[0;32m      6\u001b[0m )\n\u001b[0;32m      8\u001b[0m n_points \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m650\u001b[39m\n\u001b[0;32m      9\u001b[0m t_eval \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mlinspace(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1600\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1000\u001b[39m, n_points)\n",
+      "\u001b[1;31mAttributeError\u001b[0m: module 'pybop.models.lithium_ion' has no attribute 'DFN'"
+     ]
+    }
+   ],
+   "source": [
+    "# Example synthetic data generation\n",
+    "parameter_set = pybop.ParameterSet.pybamm(\"Chen2020\")\n",
+    "parameter_set = pybamm.get_size_distribution_parameters(parameter_set)\n",
+    "synth_model = pybop.lithium_ion.DFN(\n",
+    "    parameter_set=parameter_set, options={\"particle size\": \"distribution\"}\n",
+    ")\n",
+    "\n",
+    "n_points = 650\n",
+    "t_eval = np.linspace(0, 1600 + 1000, n_points)\n",
+    "current = np.concatenate(\n",
+    "    [np.ones(400) * parameter_set[\"Nominal cell capacity [A.h]\"], np.zeros(250)]\n",
+    ")\n",
+    "init_soc = 0.5\n",
+    "dataset = pybop.Dataset(\n",
+    "    {\n",
+    "        \"Time [s]\": t_eval,\n",
+    "        \"Current function [A]\": current,\n",
+    "    }\n",
+    ")\n",
+    "synth_model.build(dataset, init_soc=init_soc)\n",
+    "synth_model.signal = [\"Voltage [V]\"]\n",
+    "values = synth_model.simulate(t_eval=t_eval, inputs={})\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "py39",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}