{ "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 }