File size: 3,436 Bytes
ae06a35 aef20de ae06a35 aef20de ae06a35 aef20de ae06a35 aef20de ae06a35 aef20de ae06a35 aef20de ae06a35 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import os \n",
"import pathlib as Path\n",
"from datasets import load_dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# TODO make sure to add config_name (like H045_I_ccw_withoutLoad), which is the name of the folder in data folder\n",
"dataset = load_dataset(\"Lenze_dataset.py\",\"H045_I_ccw_withoutLoad\",trust_remote_code=True)\n",
"dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# mapping for channels defined in the dataset\n",
"Ch_Mapper = {\"Ch1\": \"Direct Current\",\n",
" \"Ch2\": \"Quadrature Current\",\n",
" \"Ch3\": \"Effective Current\",\n",
" \"Ch4\": \"Effective Voltage\",\n",
" \"Ch5\": \"Quadrature Voltage\",\n",
" \"Ch6\": \"Phase Current U\",\n",
" \"Ch7\": \"Phase Current V\",\n",
" \"Ch8\": \"Phase Current W\",}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"creating a small dataset out of the original dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"c:\\Arbeit\\bei Jonas\\Aufgaben Okt Nov\\Lenze_dataset\\Lenze_dataset\n"
]
}
],
"source": [
"# file_path = r\"C:\\Arbeit\\bei Jonas\\Aufgaben Okt Nov\\Lenze_dataset\\Lenze-GD\\B045_I_ccw_withLoad\"\n",
"# signal_df = pd.read_pickle(file_path+ r'\\Signal_Data.pickle')\n",
"# meta_df = pd.read_pickle(file_path + r'\\Meta_Data.pickle')\n",
"\n",
"# file_path = r\"C:\\Arbeit\\bei Jonas\\Aufgaben Okt Nov\\Lenze_dataset\\Lenze-GD\\B045_I_ccw_withLoad\"\n",
"# signal_df = pd.read_pickle(file_path+ r'\\Signal_Data.pickle')\n",
"# meta_df = pd.read_pickle(file_path + r'\\Meta_Data.pickle')\n",
"\n",
"# import os\n",
"# mini_signal_df = signal_df[0:5]\n",
"# mini_meta_df = meta_df[0:5]\n",
"\n",
"# mini_signal_df.to_pickle(\"data/B045_I_ccw_withLoad/Signal_Data.pickle\")\n",
"# mini_meta_df.to_pickle(\"data/B045_I_ccw_withLoad/Meta_Data.pickle\")\n",
"\n",
"# file_path = r\"C:\\Arbeit\\bei Jonas\\Aufgaben Okt Nov\\Lenze_dataset\\Lenze-GD\\H045_I_ccw_withoutLoad\"\n",
"# signal_df = pd.read_pickle(file_path+ r'\\Signal_Data.pickle')\n",
"# meta_df = pd.read_pickle(file_path + r'\\Meta_Data.pickle')\n",
"\n",
"# import os\n",
"# mini_signal_df = signal_df[0:5]\n",
"# mini_meta_df = meta_df[0:5]\n",
"\n",
"# mini_signal_df.to_pickle( \"data/H045_I_ccw_withoutLoad/Signal_Data.pickle\")\n",
"# mini_meta_df.to_pickle(\"data/H045_I_ccw_withoutLoad/Meta_Data.pickle\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|