{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# Tutorial 09 - add_charge_throughput",
   "id": "3227661c7ad98a63"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## Step 0: Setup the project and prepare the data",
   "id": "55bbc37fc6a453b4"
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:47.637682200Z",
     "start_time": "2026-06-19T06:35:46.604146200Z"
    }
   },
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import pydpeet as eet"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We will use \"ERROR\" as the logging style for better readability of the notebook",
   "id": "c44394f08aac949e"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:47.650180100Z",
     "start_time": "2026-06-19T06:35:47.644991100Z"
    }
   },
   "cell_type": "code",
   "source": "eet.set_logging_style(\"ERROR\")",
   "id": "9edef9d707e9392f",
   "outputs": [],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:51.534081400Z",
     "start_time": "2026-06-19T06:35:47.650180100Z"
    }
   },
   "cell_type": "code",
   "source": [
    "standardized_data = eet.read(\n",
    "    input_path=str(Path.cwd().parent.parent / \"res\" / \"raw_data_from_cyclers\" / \"Cal_Ageing_Checkup1.xlsx\"),\n",
    "    config=eet.ReadConfig.Neware_8_0_0_516,\n",
    ")"
   ],
   "id": "f07e60bdeabfbc23",
   "outputs": [],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## Step 1: add_charge_throughput",
   "id": "3ce5298b8a8f6a8e"
  },
  {
   "cell_type": "code",
   "source": [
    "df = eet.add_charge_throughput(\n",
    "    df=standardized_data,\n",
    "    calculate_tests_individually=False,\n",
    "    verbose=True,\n",
    ")"
   ],
   "id": "7670108f21833e18",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:51.562871100Z",
     "start_time": "2026-06-19T06:35:51.540172400Z"
    }
   },
   "outputs": [],
   "execution_count": 4
  },
  {
   "cell_type": "code",
   "source": [
    "added_cols = [c for c in df.columns if c not in standardized_data.columns]\n",
    "added_cols"
   ],
   "id": "added_cols_09",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:51.579137300Z",
     "start_time": "2026-06-19T06:35:51.566969900Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ChargeThroughput[Ah]', 'AbsoluteChargeThroughput[Ah]']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "cell_type": "code",
   "source": "df.head(6)",
   "id": "head_09",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:51.595859200Z",
     "start_time": "2026-06-19T06:35:51.584784500Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                                             Meta_Data  Step_Count  \\\n",
       "0.0  20240201100904-CheckUp-3-7-AM23NMC00009.xlsx U...           0   \n",
       "1.0                                               None           0   \n",
       "2.0                                               None           0   \n",
       "3.0                                               None           0   \n",
       "4.0                                               None           0   \n",
       "5.0                                               None           0   \n",
       "\n",
       "     Voltage[V]  Current[A]  Temperature[°C]  Test_Time[s]  \\\n",
       "0.0      3.5269      1.4378             27.8           0.0   \n",
       "1.0      3.5287      1.4398             27.8           1.0   \n",
       "2.0      3.5298      1.4400             27.8           2.0   \n",
       "3.0      3.5307      1.4400             27.8           3.0   \n",
       "4.0      3.5315      1.4401             27.8           4.0   \n",
       "5.0      3.5323      1.4401             27.8           5.0   \n",
       "\n",
       "              Date_Time EIS_f[Hz] EIS_Z_Real[Ohm] EIS_Z_Imag[Ohm] EIS_DC[A]  \\\n",
       "0.0 2024-02-01 10:09:04      None            None            None      None   \n",
       "1.0 2024-02-01 10:09:05      None            None            None      None   \n",
       "2.0 2024-02-01 10:09:06      None            None            None      None   \n",
       "3.0 2024-02-01 10:09:07      None            None            None      None   \n",
       "4.0 2024-02-01 10:09:08      None            None            None      None   \n",
       "5.0 2024-02-01 10:09:09      None            None            None      None   \n",
       "\n",
       "     ChargeThroughput[Ah]  AbsoluteChargeThroughput[Ah]  \n",
       "0.0                0.0000                        0.0000  \n",
       "1.0                0.0004                        0.0004  \n",
       "2.0                0.0008                        0.0008  \n",
       "3.0                0.0012                        0.0012  \n",
       "4.0                0.0016                        0.0016  \n",
       "5.0                0.0020                        0.0020  "
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Meta_Data</th>\n",
       "      <th>Step_Count</th>\n",
       "      <th>Voltage[V]</th>\n",
       "      <th>Current[A]</th>\n",
       "      <th>Temperature[°C]</th>\n",
       "      <th>Test_Time[s]</th>\n",
       "      <th>Date_Time</th>\n",
       "      <th>EIS_f[Hz]</th>\n",
       "      <th>EIS_Z_Real[Ohm]</th>\n",
       "      <th>EIS_Z_Imag[Ohm]</th>\n",
       "      <th>EIS_DC[A]</th>\n",
       "      <th>ChargeThroughput[Ah]</th>\n",
       "      <th>AbsoluteChargeThroughput[Ah]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>20240201100904-CheckUp-3-7-AM23NMC00009.xlsx U...</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5269</td>\n",
       "      <td>1.4378</td>\n",
       "      <td>27.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2024-02-01 10:09:04</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5287</td>\n",
       "      <td>1.4398</td>\n",
       "      <td>27.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2024-02-01 10:09:05</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.0004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5298</td>\n",
       "      <td>1.4400</td>\n",
       "      <td>27.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2024-02-01 10:09:06</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.0008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5307</td>\n",
       "      <td>1.4400</td>\n",
       "      <td>27.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2024-02-01 10:09:07</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0012</td>\n",
       "      <td>0.0012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5315</td>\n",
       "      <td>1.4401</td>\n",
       "      <td>27.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2024-02-01 10:09:08</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0016</td>\n",
       "      <td>0.0016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5323</td>\n",
       "      <td>1.4401</td>\n",
       "      <td>27.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2024-02-01 10:09:09</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-19T06:35:51.884792Z",
     "start_time": "2026-06-19T06:35:51.603975800Z"
    }
   },
   "cell_type": "code",
   "source": "df.plot(x=\"Test_Time[s]\", y=[\"ChargeThroughput[Ah]\", \"AbsoluteChargeThroughput[Ah]\"], figsize=(20, 5))",
   "id": "7c4aa9b3cc3bbe7d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Test_Time[s]'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ],
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     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 7
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}