working on data validation

Validation Data/read_validation_data_long.ipynb

@@ -0,0 +1,102 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import time\n",
+    "from datetime import datetime\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def unpack_line(str):\n",
+    "    index_1 = str.find(';')\n",
+    "    index_2 = str.find(';',index_1)\n",
+    "    index_3 = str.find(';',index_2)\n",
+    "    index_4 = str.find(';',index_3)\n",
+    "    index_5 = str.find(';',index_4)\n",
+    "    parameter   = str[0:index_1]\n",
+    "    value       = str[index_2:index_3]\n",
+    "    timestamp   = str[index_5:] \n",
+    "    return parameter,value,timestamp\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[1;32mv:\\georg\\Documents\\Persönliche Dokumente\\Arbeit\\Kelag\\Coding\\Python\\DT_Slot_3\\Kelag_DT_Slot_3\\Validation Data\\read_validation_data_long.ipynb Cell 3\u001b[0m in \u001b[0;36m<cell line: 7>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m timestamp_old    \u001b[39m=\u001b[39m \u001b[39m0.\u001b[39m\n\u001b[0;32m      <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mopen\u001b[39m(\u001b[39m'\u001b[39m\u001b[39mAugust_1_22.txt\u001b[39m\u001b[39m'\u001b[39m) \u001b[39mas\u001b[39;00m txt_file:\n\u001b[1;32m----> <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m     \u001b[39mfor\u001b[39;00m line \u001b[39min\u001b[39;00m txt_file:\n\u001b[0;32m      <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m         parameter_new, value_new, timestamp_new \u001b[39m=\u001b[39m unpack_line(line)\n",
+      "File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\encodings\\cp1252.py:22\u001b[0m, in \u001b[0;36mIncrementalDecoder.decode\u001b[1;34m(self, input, final)\u001b[0m\n\u001b[0;32m     21\u001b[0m \u001b[39mclass\u001b[39;00m \u001b[39mIncrementalDecoder\u001b[39;00m(codecs\u001b[39m.\u001b[39mIncrementalDecoder):\n\u001b[1;32m---> 22\u001b[0m     \u001b[39mdef\u001b[39;00m \u001b[39mdecode\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39minput\u001b[39m, final\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m):\n\u001b[0;32m     23\u001b[0m         \u001b[39mreturn\u001b[39;00m codecs\u001b[39m.\u001b[39mcharmap_decode(\u001b[39minput\u001b[39m,\u001b[39mself\u001b[39m\u001b[39m.\u001b[39merrors,decoding_table)[\u001b[39m0\u001b[39m]\n",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(columns=['Timestamp','M1-LA','M1-Druck','M2-LA','M2-Druck'])\n",
+    "\n",
+    "\n",
+    "parameter_old    = ''\n",
+    "value_old        = 0.\n",
+    "timestamp_old    = 0.\n",
+    "value_list      = []\n",
+    "timestamp_list  = []\n",
+    "with open('August_1_22.txt') as txt_file:\n",
+    "    for line in txt_file:\n",
+    "        parameter_new, value_new, timestamp_new = unpack_line(line)\n",
+    "        if parameter_new != parameter_old:\n",
+    "            if parameter_old islike \"\"\n",
+    "            \n",
+    "            value_list      = []\n",
+    "            timestamp_list  = []\n",
+    "\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('DT_Slot_3')",
+   "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": "3.8.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "4a28055eb8a3160fa4c7e4fca69770c4e0a1add985300856aa3fcf4ce32a2c48"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}