notebooks/Plotting/LongTermAnomalies.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9a8de845-ab6b-442a-b70a-6d2ebee549e4",
   "metadata": {},
   "source": [
    "![lop](../../images/logo_diive1_128px.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a12573e8-3455-4d42-aa3e-0fb6e05752df",
   "metadata": {},
   "source": [
    "<span style='font-size:40px; display:block;'>\n",
    "<b>\n",
    "    Long-term anomaly per year\n",
    "</b>\n",
    "</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da92a450-6d6a-43b7-9104-6ded5ec6afde",
   "metadata": {},
   "source": [
    "---\n",
    "**Notebook version**: `1` (20 Mar 2024)  \n",
    "**Author**: Lukas Hörtnagl (holukas@ethz.ch)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28a4631a-a44c-45b2-93c6-b915dd872584",
   "metadata": {},
   "source": [
    "</br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5cf5648-c62e-41e1-b4db-ecaeee73fbe3",
   "metadata": {},
   "source": [
    "# **Description**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2de7b49a-bd26-4a75-aa69-6f659578bb94",
   "metadata": {},
   "source": [
    "- Calculate long-term anomaly for a variable, per year, compared to a reference period\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42350015-8c37-4acb-9784-60e348d84675",
   "metadata": {},
   "source": [
    "</br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "521bb3ed-bc90-40c1-9e59-615ab97f80c3",
   "metadata": {},
   "source": [
    "# **Imports**"
   ]
  },
  {
   "cell_type": "code",
   "id": "fa24ee26-81bb-4d95-a9f9-d7bfe6e55439",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-08-22T13:29:17.353515Z",
     "start_time": "2024-08-22T13:29:17.342546Z"
    }
   },
   "source": [
    "import importlib.metadata\n",
    "from datetime import datetime\n",
    "import pandas as pd\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\", UserWarning)\n",
    "from diive.core.plotting.bar import LongtermAnomaliesYear\n",
    "version_diive = importlib.metadata.version(\"diive\")\n",
    "print(f\"diive version: v{version_diive}\")"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "diive version: v0.79.0\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "cell_type": "markdown",
   "id": "f91a427c-5e9c-49dd-9bf8-33b1e5cc520f",
   "metadata": {},
   "source": [
    "</br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eebfdf10-f24d-49b1-9855-3870c0bb10c1",
   "metadata": {},
   "source": [
    "# **Load example data**"
   ]
  },
  {
   "cell_type": "code",
   "id": "b8df9b16-1f15-4a57-b475-83f417815538",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-08-22T13:29:17.428825Z",
     "start_time": "2024-08-22T13:29:17.414864Z"
    }
   },
   "source": [
    "df = pd.read_csv('data.txt', \n",
    "                 header=0, \n",
    "                 encoding='utf-8', \n",
    "                 delimiter=';',                 \n",
    "                 index_col='time', \n",
    "                 dtype=None,\n",
    "                 engine='python')\n",
    "series = df['tre200y0'].copy()\n",
    "series_label = \"Air temperature\"\n",
    "series"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time\n",
       "1864    0.6\n",
       "1865    1.7\n",
       "1866    2.1\n",
       "1867    2.2\n",
       "1868    2.5\n",
       "       ... \n",
       "2019    4.5\n",
       "2020    4.9\n",
       "2021    3.7\n",
       "2022    5.3\n",
       "2023    5.2\n",
       "Name: tre200y0, Length: 160, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 7
  },
  {
   "cell_type": "markdown",
   "id": "09387737-0732-496d-bf79-da8f339bb5ec",
   "metadata": {},
   "source": [
    "</br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df38fda9-066a-4fef-986a-cfe921fb88c0",
   "metadata": {},
   "source": [
    "# **Calculate long-term anomalies for air temperature, compared to a reference period**"
   ]
  },
  {
   "cell_type": "code",
   "id": "1d0d90b2-1c8d-4443-ac7e-1c87c99fc5af",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-08-22T13:29:18.558998Z",
     "start_time": "2024-08-22T13:29:17.477695Z"
    }
   },
   "source": [
    "LongtermAnomaliesYear(series=series,\n",
    "                      series_label=series_label,\n",
    "                      series_units='(°C)',\n",
    "                      reference_start_year=1961,\n",
    "                      reference_end_year=1990).plot()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 8
  },
  {
   "cell_type": "markdown",
   "id": "219abd81-7b51-4cf1-8965-73efd9085755",
   "metadata": {},
   "source": [
    "</br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d05555fc-afd7-41be-8d9c-3d743374975e",
   "metadata": {
    "tags": []
   },
   "source": [
    "# **End of notebook**"
   ]
  },
  {
   "cell_type": "code",
   "id": "858aa379-5643-4afe-b53f-eb370dee2835",
   "metadata": {
    "tags": [],
    "ExecuteTime": {
     "end_time": "2024-08-22T13:29:18.620342Z",
     "start_time": "2024-08-22T13:29:18.608375Z"
    }
   },
   "source": [
    "dt_string = datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "print(f\"Finished {dt_string}\")"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished 2024-08-22 15:29:18\n"
     ]
    }
   ],
   "execution_count": 9
  },
  {
   "cell_type": "code",
   "id": "23e2f42a-cea0-4c9e-82c9-d3b47b3665c0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-08-22T13:29:18.730560Z",
     "start_time": "2024-08-22T13:29:18.722584Z"
    }
   },
   "source": [],
   "outputs": [],
   "execution_count": null
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  },
  "toc-autonumbering": false
 },
 "nbformat": 4,
 "nbformat_minor": 5
}