diff --git a/notebooks/get_current_data.ipynb b/notebooks/get_current_data.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Data fetch: ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "import os\n",
+    "\n",
+    "# Gets the absolute path to the src folder\n",
+    "sys.path.append(os.path.abspath(\"../src\"))\n",
+    "\n",
+    "# Now we can import the fucntion from the module\n",
+    "from my_package.fetch_current_data import fetch_current_data\n",
+    "\n",
+    "# User input the city, for the weather\n",
+    "city_name = input(\"Enter a city in Norway: \")\n",
+    "\n",
+    "data, folder = fetch_current_data(city_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Data has been written to /Users/hanne/Documents/anvendt prosjekt/anvendt_mappe/data/../data/output_current_data/data_stavg_current.json\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Gets the absolute path to the src folder\n",
+    "sys.path.append(os.path.abspath(\"../src\"))\n",
+    "\n",
+    "from my_package.write_data import write_data\n",
+    "\n",
+    "filename = input(\"Write filename: \")\n",
+    "\n",
+    "write_data(data, folder, filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>main.temp</th>\n",
+       "      <th>main.feels_like</th>\n",
+       "      <th>main.temp_min</th>\n",
+       "      <th>main.temp_max</th>\n",
+       "      <th>main.pressure</th>\n",
+       "      <th>main.humidity</th>\n",
+       "      <th>main.sea_level</th>\n",
+       "      <th>main.grnd_level</th>\n",
+       "      <th>wind.speed</th>\n",
+       "      <th>wind.gust</th>\n",
+       "      <th>clouds.all</th>\n",
+       "      <th>sys.type</th>\n",
+       "      <th>sys.id</th>\n",
+       "      <th>sys.country</th>\n",
+       "      <th>sys.sunrise</th>\n",
+       "      <th>sys.sunset</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dt</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2025-03-26 14:04:13</th>\n",
+       "      <td>Stavanger</td>\n",
+       "      <td>8.76</td>\n",
+       "      <td>7.55</td>\n",
+       "      <td>8.37</td>\n",
+       "      <td>9.52</td>\n",
+       "      <td>1019</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1019</td>\n",
+       "      <td>1015</td>\n",
+       "      <td>2.24</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>75</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2031843</td>\n",
+       "      <td>NO</td>\n",
+       "      <td>2025-03-26 05:21:03</td>\n",
+       "      <td>2025-03-26 18:04:12</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          name  main.temp  main.feels_like  main.temp_min  \\\n",
+       "dt                                                                          \n",
+       "2025-03-26 14:04:13  Stavanger       8.76             7.55           8.37   \n",
+       "\n",
+       "                     main.temp_max  main.pressure  main.humidity  \\\n",
+       "dt                                                                 \n",
+       "2025-03-26 14:04:13           9.52           1019             94   \n",
+       "\n",
+       "                     main.sea_level  main.grnd_level  wind.speed  wind.gust  \\\n",
+       "dt                                                                            \n",
+       "2025-03-26 14:04:13            1019             1015        2.24       3.58   \n",
+       "\n",
+       "                     clouds.all  sys.type   sys.id sys.country  \\\n",
+       "dt                                                               \n",
+       "2025-03-26 14:04:13          75         2  2031843          NO   \n",
+       "\n",
+       "                            sys.sunrise          sys.sunset  \n",
+       "dt                                                           \n",
+       "2025-03-26 14:04:13 2025-03-26 05:21:03 2025-03-26 18:04:12  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import json\n",
+    "\n",
+    "# data = pd.read_json(f'../data/output_current_data/data_{filename}.json')\n",
+    "\n",
+    "# Les JSON-filen\n",
+    "with open(f\"../data/output_current_data/data_{filename}.json\", \"r\", encoding=\"utf-8\") as file:\n",
+    "    data = json.load(file)\n",
+    "\n",
+    "# Flate ut JSON-strukturen med json_normalize\n",
+    "df = pd.json_normalize(data)\n",
+    "\n",
+    "# Delete duplicates based on the dt row, all the other values can appear more than once, but the date should only appear once\n",
+    "df = df.drop_duplicates(subset=['dt'])\n",
+    "\n",
+    "# Deleted the columns that was not relevant\n",
+    "df = df.drop(columns=\"weather\")\n",
+    "df = df.drop(columns=\"base\")\n",
+    "df = df.drop(columns=\"visibility\")\n",
+    "df = df.drop(columns=\"timezone\")\n",
+    "df = df.drop(columns=\"id\")\n",
+    "df = df.drop(columns=\"cod\")\n",
+    "df = df.drop(columns=\"coord.lon\")\n",
+    "df = df.drop(columns=\"coord.lat\")\n",
+    "df = df.drop(columns=\"wind.deg\")\n",
+    "\n",
+    "#change from unix to datetime for sunrise and sunset\n",
+    "df['sys.sunrise'] = pd.to_datetime(df['sys.sunrise'], unit='s')\n",
+    "df['sys.sunset'] = pd.to_datetime(df['sys.sunset'], unit='s')\n",
+    "\n",
+    "# Convert 'dt' column from Unix timestamp to datetime and set it as the index\n",
+    "df['dt'] = pd.to_datetime(df['dt'], unit='s')\n",
+    "df.set_index('dt', inplace=True)\n",
+    "\n",
+    "# Skriv ut DataFrame\n",
+    "display(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}