{ "cells": [ { "cell_type": "code", "execution_count": 24, "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2024-06-11T06:48:54.873304Z", "start_time": "2024-06-11T06:48:54.842415500Z" } }, "outputs": [], "source": [ "import pandas as pd\n", "pv_df = pd.read_csv('data/PV.csv', sep=';')\n", "temperature_df = pd.read_csv('data/temper.csv', sep=',')\n", "\n", "pv_data = pv_df['P_PV_'].apply(lambda x: x.replace(',', '.')).to_numpy(dtype=float)\n", "temper = temperature_df['t2m'].to_numpy(dtype=float)" ] }, { "cell_type": "code", "execution_count": 25, "outputs": [ { "data": { "text/plain": "array([0., 0., 0., ..., 0., 0., 0.])" }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pv_data" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-11T06:48:54.881858Z", "start_time": "2024-06-11T06:48:54.867302600Z" } }, "id": "d37d5b6cd5cb7387" }, { "cell_type": "code", "execution_count": 26, "outputs": [ { "data": { "text/plain": "array([-3.2424931, -3.4571036, -3.5921883, ..., 3.2034465, 1.3242432,\n 0.3394317])" }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "temper -= 273.15\n", "temper" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-11T06:48:54.906957500Z", "start_time": "2024-06-11T06:48:54.880858700Z" } }, "id": "3ef2774e5245627" }, { "cell_type": "code", "execution_count": 26, "outputs": [], "source": [], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-11T06:48:54.915543800Z", "start_time": "2024-06-11T06:48:54.896403Z" } }, "id": "33f9458d47973337" } ], "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 }