ubrukelig program for konvertering av vinddata (ignorer).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "01.01.2022 01:00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\57861\\.conda\\envs\\p39_sommer\\lib\\site-packages\\dateparser\\date_parser.py:35: PytzUsageWarning: The localize method is no longer necessary, as this time zone supports the fold attribute (PEP 495). For more details on migrating to a PEP 495-compliant implementation, see https://pytz-deprecation-shim.readthedocs.io/en/latest/migration.html\n",
      "  date_obj = stz.localize(date_obj)\n",
      "C:\\Users\\57861\\AppData\\Local\\Temp\\ipykernel_25536\\2999859430.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_wind[\"Tid(norsk normaltid)\"].iloc[i] = dateparser.parse(df_wind[\"Tid(norsk normaltid)\"].iloc[i]).strftime(\"%Y-%m-%d %H:%M:%S\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "import dateparser\n",
    "import pandas as pd\n",
    "\n",
    "df_wind = pd.DataFrame(pd.read_csv(\"vinddata_2022.csv\"))\n",
    "\n",
    "for i in range(len(df_wind.index)):\n",
    "    print(df_wind[\"Tid(norsk normaltid)\"].iloc[i])\n",
    "    df_wind[\"Tid(norsk normaltid)\"].iloc[i] = dateparser.parse(df_wind[\"Tid(norsk normaltid)\"].iloc[i]).strftime(\"%Y-%m-%d %H:%M:%S\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_wind.to_csv(\"vinddata_2022.csv\")"
   ]
  }
 ],
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    "name": "ipython",
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   "file_extension": ".py",
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