lecture08-xarray/lecture08.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import glob\n",
    "import os.path\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "from sklearn import datasets, linear_model, ensemble, neural_network\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Use this for larger plots:\n",
    "#matplotlib.rc('figure', figsize=(15, 10))\n",
    "matplotlib.rc('figure', figsize=(10, 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<div style=\"text-align:center\">\n",
    "<h1>xarray</h1>\n",
    "\n",
    "<br><br>\n",
    "<img src=\"xarray-logo.png\" style=\"width: 50%; margin: auto;\">\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "COUNTRIES = 'Austria', 'Germany', 'Switzerland', 'Italy', 'Spain', 'Sweden', 'United Kingdom'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# From previous lecture..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "CONFIG_FILE = '../entsoe-data.config'\n",
    "\n",
    "if not os.path.exists(CONFIG_FILE):\n",
    "    download_dir = input('Path to ENTSO-E data folder: ')\n",
    "    if not os.path.isdir(download_dir):\n",
    "        raise RuntimeError(f'Invalid download_dir, please run cell again: {download_dir}')\n",
    "    with open(CONFIG_FILE, 'w') as f:\n",
    "        f.write(download_dir)\n",
    "else:\n",
    "    with open(CONFIG_FILE) as f:\n",
    "        download_dir = f.read()\n",
    "        \n",
    "# Clear the output after this cell if you want to aovid having your path in the notebook (or execute it twice)!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Concatenating 69 csv files...\n",
      "Files read, concatenating to dataframe...\n",
      "Sorting and indexing...\n",
      "Resampling...\n",
      "Reshaping dataframe...\n",
      "Loading done.\n"
     ]
    }
   ],
   "source": [
    "def read_single_csv_entso_e(file):\n",
    "    return pd.read_csv(file, sep='\\t', encoding='utf-16', parse_dates=[\"DateTime\"])\n",
    "\n",
    "\n",
    "def load_complete_entso_e_data(directory):\n",
    "    pattern = Path(directory) / '*.csv'\n",
    "    files = glob.glob(str(pattern))\n",
    "\n",
    "    if not files:\n",
    "        raise ValueError(f\"No files found when searching in {pattern}, wrong directory?\")\n",
    "    \n",
    "    print(f'Concatenating {len(files)} csv files...')\n",
    "\n",
    "    each_csv_file = [read_single_csv_entso_e(file) for file in files]\n",
    "    \n",
    "    print(\"Files read, concatenating to dataframe...\")\n",
    "    data = pd.concat(each_csv_file, ignore_index=True)\n",
    "    \n",
    "    print(\"Sorting and indexing...\")\n",
    "    data = data.set_index(\"DateTime\")\n",
    "    data.sort_index(inplace=True)\n",
    "    \n",
    "    # filter only for countries under consideration to make things faster and consume less RAM...\n",
    "    data_ = data[data.AreaName.isin(COUNTRIES)].copy()\n",
    "    del data\n",
    "    data = data_\n",
    "    \n",
    "    print(\"Resampling...\")\n",
    "    data = data.groupby('AreaName').resample(\"1h\").mean()\n",
    "    \n",
    "    # we should end up with a dataframe with DateTime as index, AreaName as columns\n",
    "    # and Total load as entries...\n",
    "    print(\"Reshaping dataframe...\")\n",
    "    data = data.TotalLoadValue.unstack(level=0).interpolate()\n",
    "    \n",
    "    print(\"Loading done.\")\n",
    "\n",
    "    return data\n",
    "\n",
    "\n",
    "# note: this might require 3GB of RAM\n",
    "\n",
    "power_demand = load_complete_entso_e_data(download_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Erratum: there was a mistakes last time\n",
    "\n",
    "Random split cannot be used on time series to determine quality of fit, in particular overfitting."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"overfitting.png\" width=\"40%\">\n",
    "\n",
    "<small>Source: <a href=\"https://en.wikipedia.org/wiki/File:Overfitting.svg\">Chabacano</a> CC-BY-SA 4.0</small>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "def f(x):\n",
    "    return np.cos(x * 2 * np.pi)\n",
    "\n",
    "X = np.linspace(0, 3, num=100)[:, np.newaxis]\n",
    "Y = f(X)[:, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f62209f92d0>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(X[:, 0], Y, 'o-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n",
       "                      max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "                      max_samples=None, min_impurity_decrease=0.0,\n",
       "                      min_impurity_split=None, min_samples_leaf=1,\n",
       "                      min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "                      n_estimators=100, n_jobs=None, oob_score=False,\n",
       "                      random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forest = ensemble.RandomForestRegressor()\n",
    "forest.fit(X, Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9984933278951602"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forest.score(X, Y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Ok, we got a good score on our training data!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's generate some new (unseen) samples for `X` and use them as test data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "X_test_inbetween = np.linspace(1, 3, num=20)[:, np.newaxis]\n",
    "X_test_after = np.linspace(3, 5, num=20)[:, np.newaxis]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6228754050>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(X[:, 0], Y, 'o-', label='Training data')\n",
    "plt.plot(X_test_inbetween[:, 0],\n",
    "         forest.predict(X_test_inbetween),\n",
    "         'o-', label='Test data (in between)')\n",
    "\n",
    "plt.plot(X_test_after[:, 0],\n",
    "         forest.predict(X_test_after),\n",
    "         'o-', label='Test data (after)')\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Both tests sets contain only unseen values, but the performance is way worse on the `X_test_after`. The forest learned only to calculate `f()` between 0 and 3 and can't predict values above 3."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "**Mistake from last time:**\n",
    "\n",
    "In our case, splitting data randomly into test/training was a very bad choice, because we measured the score on `X_in_between` (random samples between 2015 and 2019) but we are probably interested in a score on `X_after` (training 2015-2018, test 2019)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's now train a different forest - this time a bit more similar to what we did last week. We will assume "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n",
       "                      max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "                      max_samples=None, min_impurity_decrease=0.0,\n",
       "                      min_impurity_split=None, min_samples_leaf=1,\n",
       "                      min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "                      n_estimators=100, n_jobs=None, oob_score=False,\n",
       "                      random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# just train on fraction of the period, i.e. just use decimals after the comma\n",
    "X_fraction = np.modf(X)[0]\n",
    "\n",
    "forest_periodic = ensemble.RandomForestRegressor()\n",
    "forest_periodic.fit(X_fraction, Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6222966110>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(1, 5, num=200)\n",
    "X_fraction_test = np.modf(x)[0][:, np.newaxis]\n",
    "\n",
    "plt.plot(X[:, 0], Y, 'o-', label='Training data')\n",
    "plt.plot(x, forest_periodic.predict(X_fraction_test), 'o-', label='Test data')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "If there is noise or a trend in the data, it doesn't work that well, but still good enough.That means our forest wasn't performing too bad, but way worse than we thought it did."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# The easy way: plot relative power demand by aggregating weekly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "power_demand_normal = power_demand['2015-01-01':'2019-12-31']\n",
    "power_demand_covid = power_demand['2020-01-01':'2020-12-31']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f622092ec10>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "power_demand_covid.Austria.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "power_demand_normal_weekly = power_demand_normal.groupby(power_demand_normal.index.week).mean()[1:-1]\n",
    "power_demand_covid_weekly = power_demand_covid.groupby(power_demand_covid.index.week).mean()[1:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(power_demand_covid_weekly / power_demand_normal_weekly).plot()\n",
    "plt.xlabel('Week of the year');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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71wBYHPq4B8D9ACAimQC+C+ASABsBfFdE4mIL3v27apCVYsVN6wu0LiWqtpeNHhjN0SwiIqKZmzJkKaXeAnChhknXAXhUjdoPwCEiuQA+CuBVpZRXKdUJ4FVcOKwZwomWbrx5sg07thQhKcGsdTlRVZCZjOW5aQxZREREsxCJuS43gMYxXzeFXpvs9Q8QkXtE5ICIHGhra4tASdHz6101SLGacfumIq1LiYntZTk4UO9FR++Q1qUQEREZSiRC1kRb69QFXv/gi0o9oJRar5Ra73Lptx1Co7cfLx5twW0bC5GenKB1OTFxVVkOggp4/T0eGE1ERDQTkQhZTQDGLk7KB9B8gdcN6zdvn4FJgLsvW6R1KTGzIi8NBZk23P9mDbx9w1qXQ0REZBiRCFkvALgjtMtwEwCfUqoFwJ8BXCUiGaEF71eFXjOkjt4hPHWgEX+zxo3cdJvW5cSMiOAnN61Bc9cAdjxcgf5hv9YlERERGcJ0Wjg8AWAfgKUi0iQid4vIvSJyb+iSlwGcAVAN4D8BfBEAlFJeAN8DUBH6uC/0miE9srcOQ/4gPr+tWOtSYm7jokz8+21rUdnUhS/+9l2MBIJal0RERKR7opS+zqZbv369OnDggNZlvE/fkB+bf/QXXLIoEw/csV7rcjTzRHkDvvlcJW5cl48f37Q6LjvdExERzYSIHFRKTRgOLLEuxoieKG+Ab2AE914RXwdBz9RtGwvR2j2En712Cq7URHzjmmVal0RERKRbDFlTGPYH8Zu3a3HJokysK4yLXqpz8pUrS9HWO4hf7aqBKzURd2+dP5sAiIiIZoIhawrPH/bgbPcgfnTjKq1L0QURwT9euxIdvcP43h+Pw2m34ro1E7Y/IyIimtfi9+C9CAgGFX791hksz03DtiX67d8Va2aT4Ge3rMElizLx9WeO4O3T+m4gS0REpAWGrAt47cQ5VLf24t5txVzkPU5SghkP3LEeJS477n3sICqbfFqXRBHW2jOIj/x0Fx7eU6t1KUREhsSQNQmlFO7fVYP8DBs+vipX63J0Kd2WgEfu2ghHshV3PlSOuvY+rUuiCFFK4e+ePYrq1l58/6UTONzYpXVJRESGw5A1ifJaLw41dOGey4thMfOXaTI5aUl49O6NCCqFO3aWo7VnUOuSKAKeKG/EGyfb8NWPLEFOWhL+95OH0DvERrRERDPB9DCJX+2qQVaKFTddXDD1xfNcicuOnXduQFvPEHY8VIGewRGtS6I5qO/ow/dfOo4tpVn4Xx8uxb/dugaN3n5857+qtC6NiMhQGLImcKKlG2+cbMOdm4tgs5q1LscQ1hZm4P9+Zh1Onu3BvY8fxJA/oHVJNAuBoMLXnj4Cs0nwr5+8CCaTYH1RJr5y5WI8d8iDPxxq0rpEIiLDYMiawK931SDFasYdlxZpXYqhfGhpNv75xtXYU92Brz19BMGgvk4ToKn9alcNDtZ34nvXrUSe469ndH75Q6XYUJSBb/+hCvUdXHtHRDQdDFnjNHr78eLRFty2sRDpyQlal2M4N16cj29eswwvHW3BfX88Dr0d20STO9bsw89fO4WPr8rFdWvy3veexWzCz29dC7NJ8JUnD/P8SiKiaWDIGuc3b5+BSYC7L2Mn89m65/Ji3L11ER7eW4f7d9VoXQ5Nw+BIAF996jAcyVZ8/29WTtiyxO2w4Uc3rsaRxi789NVTGlRJRGQsDFljdPQO4akDjfibNW7kptum/gaakIjgWx9bjuvW5OFf/nQSTx9o1LokmsJPXjmJU+d68S+fXI2MFOuk131sVS5u3VCAX+2qwZ7q9hhWSERkPAxZYzyytw6DI0F8flux1qUYnim0cPqyxU5887lKvH7inNYl0ST2n+nAb3bX4lOXFOJDS7OnvP47nyhDsTMFX33qMDp6h2JQIRGRMTFkhfQN+fHIvnpcVZaD0uxUrcuJC1aLCfd/5mKU5abhS797FwfrO7UuicbpGRzB3z59BIWZyfjWx5ZP63uSrRb8+23r0NU/gr/7/VGuuyMimgRDVsgT5Q3wDYzg3itKtC4lrtgTLXhoxwYsSEvC3Y9UoLq1R+uSaIz7XjyOFt8AfnrzGqQkTv+8+LK8NHzjmmV47UQrHt1XH8UKiYiMiyELwLA/iAd31+KSRZlYV5ihdTlxx2lPxKN3XQKLyYQ7HixHi29A65IIwCvHzuKZg034whUluHjhzH/f79hShA8tdeEHL5/AiZbuKFRIRGRsDFkAnj/sQYtvkKNYUVSYlYyHd2xA96Afn91ZDl8/u8Jrqb13CN98rhIr8tLwv69cMqt7iAj+9aaLkJaUgK88cQgDw2xAS0Q01rwPWcGgwq/fOoNlC1JxxRKX1uXEtZXudDxw+8Woa+/H5x6twOAI/1LWglIK3/h9JXqG/PjZLWtgtcz+jwGnPRE/vfkinG7txfdfOh7BKomIjG/eh6zX32tFdWsvvnBFyYS9gSiyNpc68dNbLsKB+k585YlD8LOpZcw9c6AJr504h//3o0uxJGfumzwuX+LC5y8vxm/facCfqloiUCERUXyY1yFLKYX736xGfoYNH1+Vq3U588b/WJ2H7/6PMrxy/Bz+/vkq7k6LoUZvP/7xxWPYVJyJu7ZEruHu3161FKvz0/F3v69EcxfX3BERAfM8ZFXUdeLdhi7cc3kxLOZ5/UsRc3duWYQvfagET5Q34mevnda6nHkhEFT426ePwCSCH980evhzpFgtJvzbrWsxEgjiq08dRoDnVhIRze+Qdf+b1chMseKmiwu0LmVe+vpVS3Hz+nz84vXTeHw/2wBE22/ePoPyOi++e+0K5GckR/z+i5wpuO+6lXin1ov/+0Z1xO9PRGQ08zZknWjpxhsn27BjcxFsVrPW5cxLIoJ/un4VrlyWjb9/vgr/Xcn1PNFyoqUbP3nlFD66Igc3rnNH7Tk3rnPj2ovy8PPXT+NgvTdqzyEiMoJ5G7J+vasGyVYzbr90odalzGsWswn/8al1WFvgwFeePISXjjJoRdqQf/Tw5zSbBf90/aqobvAQEXz/+pXITU/CV544DN8AW3UQ0fw1L0NWo7cfLx5twac2FsKRPPlhuBQbNqsZD+3YiDUFDnz5iXfx2L46rUuKKz9/7TTeO9uDH92wGln2xKg/Ly0pAb+4bS3Odg/iW3+o5MYGIpq35mXI+s3bZ2AS4O7LIre7iuYm3ZaAx+6+BFcuy8HfP38MP33lJP9yjoADdV78elcNbllfgI+U5cTsuesKM/C17Uvwx6MteOZgU8yeS0SkJ/MuZPUN+fHswSZct8aN3HSb1uXQGEkJZvzqM+twy/oC/OIv1fj//lDFXWpz0Dvkx9eePgJ3hg1//4mymD//3m0l2FSciX944RjOtPXG/PlERFqbdyErJdGCF//XVvyfjyzWuhSagMVswo9uXIUvf6gUT5Q34Iu/PcjO8LP0g5eOo7GzHz+5aQ3sMzj8OVLMJsHPb1kLq8WErzx5CEN+/nckovll3oUsACh22aOyhZ0iQ0Tw9Y8uxT98YrRh6R07y7mAeoZeP3EOT5Q34p7Li7FxUaZmdSxIT8K/3LgaVZ5u/PjPJzWrg4hIC/MyZJEx3LllEf7t1rU41NCJW369D63dg1qXZAgdvUP4u99XYtmCVHxt++wOf46kq1YswGc2FeI/367FmydbtS6HiChmGLJI1669KA8P3bkRjd5+3HD/XtS292ldkq4ppfCtP1She2AEP7tlDRIt+ugB9+2Pl2FJjh1ff+YI2nqGtC6HiCgmGLJI97YuduKJezZhYDiAT96/F0eburQuSbeee9eDPx07i69dtQTLc9O0Lue8pAQz/v22degZ9OPrzxxBkBsaiGgeYMgiQ1id78CzX9gMm9WM2x7Yj7dPt2ldku54ugbwDy8cw8aiTPzPy4q1LucDli5Ixbc/vhy7TrVh555arcshIoo6hiwyjEXOFDz3hc0oyEzGXQ9X4IUjzVqXpBvBoMLXnz6CoFL4yc0XwRzBw58j6TObFmJ7WQ7++U/vocrj07ocIqKoYsgiQ8lOS8LT916KdYUZ+MoTh/AQR0QAADv31GLfmQ585xNlKMjU785ZEcE/37gamSlWfOWJQ+gb8mtdEhFR1DBkkeGkJSXgkbs24uoVC/CPLx7Hv/75vXndHf70uR78y59P4iPLs3Hz+gKty5lSZooVP7tlDWo7+vCPLx7TuhwioqhhyCJDSkow45efXofbNhbil2/U4Bu/r4Q/ENS6rJgb9gfx1acPIzXRgh/esDqqhz9H0uYSJ76wrQRPH2jCH49y2peI4hNDFhmW2ST4p+tX4itXLsZTBxpx7+Pvzrvu8P/+l9Oo8nTjB9evgis1+oc/R9JXty/BmgIHvvlcJRq9/VqXQ0QUcQxZZGgigq9tX4LvXbcCr793Drc/+A58/fOjO/y7DZ345RvVuHFdPq5euUDrcmYswWzCL25dC6WAv3++SutyiIgiblohS0SuFpGTIlItIt+Y4P2FIvK6iBwVkTdFJH/Me/8iIsdE5ISI/EKMMp9BhnL7pUX45afW4UijDzf/eh/O+uKzO/zAcACN3n4crO/E3z59BLnpNnz32tgf/hwphVnJuHZNHo40svcZEcWfKU+NFREzgF8C2A6gCUCFiLyglDo+5rIfA3hUKfWIiHwYwA8B3C4imwFsAbA6dN1uANsAvBm5H4Fo1MdW5cJhS8A9jx3EjffvxSN3bURptl3rsqbUP+xHe88w2nqH0B76aOsJfd4zPPp17xDae4bQN/zX6VCTAL/93CakJSVoWP3cuR02dPaPoH/Yj2Rr7A+yJiKKlun8ibYRQLVS6gwAiMiTAK4DMDZklQH4aujzNwD8V+hzBSAJgBWAAEgAcG7uZRNNbHOpE0/eswl3PlSBm361Fw/t2Ig1BY6Y1zE+OJ0PTaHgdD5QjQtOYzmSE+C0J8JlT8TqfAecduv5r12piShx2VGYpd92DdPldtgAAM1dAyjNTtW4GiKiyJlOyHIDaBzzdROAS8ZdcwTAjQD+DcD1AFJFJEsptU9E3gDQgtGQ9R9KqRPjHyAi9wC4BwAKCwtn/EMQjbXSnY7ff+FS3P5gOW57YD/u/8w6XLE0O+LPGRwJoL6jH7Xtvahp68OZtj7UtvfiTHsfuiZZF5YRCk5OeyIuyneMfp76/vDktCciM8UKq2V+LJnMC4UsT9cgQxYRxZXphKyJ1lCNb0r0dQD/ISJ3AngLgAeAX0RKASwHEF6j9aqIXK6Ueut9N1PqAQAPAMD69evnb8MjipiFWSn4/Rc2486HyvG5Rw7gxzddhL9Z657xfZRSONs9iDNtfTjTNhqmatv7cKa9F02dAxjbnisnLRHFTjs+tioX+Rk2uOyJcKb+NTxlpliRYJ4fwWkm3Bl/HckiIoon0wlZTQDGdjjMB/C+xjZKqWYANwCAiNgB3KiU8oVGqPYrpXpD7/03gE0YDWJEUeVKTcST92zC5x87iP/z1GG09w7hc5Oc6dc75MeZtt7RMNXed/7z2vY+DIxpC5FsNaPYlYI1BRm4YW0+il0pKHHZUeRMgT2R64lmIyc1EWaTwNPJkEVE8WU6fytUAFgsIoswOkJ1K4BPjb1ARJwAvEqpIIBvAtgZeqsBwP8UkR9idERsG4CfR6h2oimlJiXgoR0b8NWnDuP7L51Aa88QNhVn4kxbX2hUajRMtfYMnf8ekwD5GckodqVgU3EWil0pKHamoNhlR05aomEafhqFxWzCgrQkjmQRUdyZMmQppfwi8mUAfwZgBrBTKXVMRO4DcEAp9QKAKwD8UEQURkepvhT69mcBfBhAJUanGP+klHox8j8G0eQSLWb8+23rkJVyDA+8dQYPvHUGwOj6qGKXHduWuLDIlYJipx0lrhQUZiUj0WLWuOr5Jc+RBA9DFhHFmWnNbyilXgbw8rjXvjPm82cxGqjGf18AwOfnWCPRnJlNgvuuW4GPr85FgtmEYmcKMlKsWpdFIXkOGw7Wd2pdBhFRRHERCc0bIoJNxVlal0ETcDtseOloCwJBBbOJ07FEFB+41YmINJfnsMEfVGgbszaOiMjoGLKISHPu872yeFA0EcUPhiwi0ly4V5anKz7PnCSi+Ykhi4g0l5ueBIANSdXILDkAACAASURBVIkovjBkEZHmUpMSkJZkYUNSIoorDFlEpAvujGSOZBFRXGHIIiJdcLMhKRHFGYYsItKFPIeNIYuI4gpDFhHpgtthQ8+gH92DI1qXQkQUEQxZRKQLeaFeWVyXRUTxgiGLiHSBIYuI4g1DFhHpQj4bkhJRnGHIIiJdcNkTkWAW9soiorjBkEVEumAyCRakJ3G6kIjiBkMWEemG22FjyCKiuMGQRUS6wV5ZRBRPGLKISDfcDhvOdQ9iJBDUuhQiojljyCIi3XA7bAgq4Fw3dxgSkfExZBGRboR7ZXGHIRHFA4YsItKN8w1JfQxZRGR8DFlEpBvu813fOV1IRMbHkEVEumGzmpGZYkUTpwuJKA4wZBGRrrBXFhHFC4YsItKVPAe7vhNRfGDIIiJdCTckVUppXQoR0ZwwZBGRrrgdNvQPB+AbGNG6FCKiOWHIIiJdCe8w5PE6RGR0DFlEpCtsSEpE8YIhi4h0xZ0R7pXFkEVExsaQRUS6kpVihdViQrOPDUmJyNgYsohIV0QEboeN04VEZHgMWUSkO+5QGwciIiNjyCIi3WFDUiKKBwxZRKQ7eQ4bWnuGMOQPaF0KEdGsMWQRke6Ee2Wd5eJ3IjIwhiwi0h02JCWieMCQRUS6w4akRBQPGLKISHdyHUkAgOYuThcSkXExZBGR7iRazHClJnKHIREZ2rRClohcLSInRaRaRL4xwfsLReR1ETkqIm+KSP6Y9wpF5BUROSEix0WkKHLlE1G8ymOvLCIyuClDloiYAfwSwDUAygDcJiJl4y77MYBHlVKrAdwH4Idj3nsUwL8qpZYD2AigNRKFE1F8y3fYOJJFRIY2nZGsjQCqlVJnlFLDAJ4EcN24a8oAvB76/I3w+6EwZlFKvQoASqlepVR/RConoriW50iCp2sASimtSyEimpXphCw3gMYxXzeFXhvrCIAbQ59fDyBVRLIALAHQJSLPicghEfnX0MgYEdEF5TlsGPIH0dE3rHUpRESzMp2QJRO8Nv6fll8HsE1EDgHYBsADwA/AAuCy0PsbABQDuPMDDxC5R0QOiMiBtra26VdPRHEr3CuLU4ZEZFTTCVlNAArGfJ0PoHnsBUqpZqXUDUqptQC+FXrNF/reQ6GpRj+A/wKwbvwDlFIPKKXWK6XWu1yuWf4oRBRP2CuLiIxuOiGrAsBiEVkkIlYAtwJ4YewFIuIUkfC9vglg55jvzRCRcHL6MIDjcy+biOJdfga7vhORsU0ZskIjUF8G8GcAJwA8rZQ6JiL3ici1ocuuAHBSRE4ByAHwg9D3BjA6Vfi6iFRidOrxPyP+UxBR3Em3JSDZamZDUiIyLMt0LlJKvQzg5XGvfWfM588CeHaS730VwOo51EhE85CIhHplcUMyERkTO74TkW65HTaOZBGRYTFkEZFu5bEhKREZGEMWEemW25GEjr5hDAwHtC6FiGjGGLKISLfcoR2GzT6OZhGR8TBkEZFu5aWzISkRGRdDFhHpFhuSEpGRMWQRkW4tSE+CSTiSRUTGxJBFRLqVYDYhJy0JHrZxICIDYsgiIl1jQ1IiMiqGLCLSNTYkJSKjYsgiIl3Lc9jQ4htAMKi0LoWIaEYYsohI19yOJIwEFNp6h7QuhYhoRhiyiEjXwg1JPdxhSEQGw5BFRLoW7pXFNg5EZDQMWUSka2xISkRGxZBFRLqWlpSA1CQLR7KIyHAYsohI99wOGxuSEpHhMGQRke6NNiTlSBYRGQtDFhHp3mhDUoYsIjIWhiwi0r08hw2+gRH0Dvm1LoWIaNoYsohI9/IcSQDYxoGIjIUhi4h0L58NSYnIgCxaF0BENBU2JAUGRwI4da4H77X0IMtuxZXLc7QuiYimwJBFRLqXnZoEi0nmRUNSpRRae4ZwvKUbJ1q6caKlBydaunGmrRfhM7KTEkw49o9Xw2wSbYslogtiyCIi3TObBAvSk+JuJGvYH8Tp1tHRqRMt3ThxdjRUefuGz1/jdtiwPDcV16xcgOW5aTh9rhc/e+0UmrsGUJCZrGH1RDQVhiwiMoQ8hw3NBm5I2t47FBqZ+uvoVHVrL/yh4SmrxYSlOan4yPJsLM9NG/1YkIb05IT33aci1YufvQbUtPUyZBHpHEMWERlCvsOGd2q9WpcxpZFAELXtfTjR0h2a8hsNVG09Q+evyUlLxPLcNHxoWShQLUjFImcKLOap9yKVuOwAgJq2PlyxNGo/BhFFAEMWERlCnsOGs92D8AeC0wojWvjS797Fq8fPYdgfBAAkmAWl2am4bLETZeHRqdw0ZKZYZ/2MzBQrHMkJqGnrjVTZRBQlDFlEZAh5DhsCwdFF4eHdhnrS2TeMl4624ENLXfjERXlYnpuGEpcdVkvkA2GJy46aVoYsIr1jyCIiQ3CP6ZWlx5BV1ewDAHzusmJsKXVG9VklrhT85b22qD6DiOZOn2PuRETjuHXe9b3SMxqyVualR/1ZJS472nuH4BsYifqziGj2GLKIyBDCo1dNOu2VVeXxoTAz+QO7AaMhvPj9DNdlEekaQxYRGUKy1YKM5ATdjmRVebqx0p0Wk2eVZP91hyER6RdDFhEZxmivLP2FLF//CBq8/Vjpjv5UIQAUZNiQYBbuMCTSOYYsIjKMPIdNl4dEhxe9r4pRyLKYTViYlcIdhkQ6x5BFRIbhdtjg6RyAUkrrUt4nlovew0pcKRzJItI5hiwiMgy3w4a+4QC6B/1al/I+lR4f3A4bMubQZHSmSlx21Hf0YyQQjNkziYzkV7tq8O3/qtS0BoYsIjKM8A5Dj852GB7z+GI2VRhW4rLDH1Ro9PbH9LlERvFyZQtOn9N2tJchi4gMI9yQVE+L37sHR1DX0Y9V+TEOWdxhSDSpviE/jjV3Y+OiTE3rYMgiIsPICzck9eknZFWF12PFeCSr2JUCAFyXRTSBdxs6EQgqbCgyQMgSkatF5KSIVIvINyZ4f6GIvC4iR0XkTRHJH/d+moh4ROQ/IlU4Ec0/zpREWM0mXU0Xng9ZebHpkRWWlpQAV2oidxgSTaCi1guTAOsWZmhax5QhS0TMAH4J4BoAZQBuE5GycZf9GMCjSqnVAO4D8MNx738PwK65l0tE85nJJMhzJOmqjUOVpxt56UnIsifG/NncYUg0sfI6L1bkpcOeqO0RzdMZydoIoFopdUYpNQzgSQDXjbumDMDroc/fGPu+iFwMIAfAK3Mvl4jmO701JK3y+GI+VRhW4rKjpq1Pdy0tiLQ07A/iUEOX5lOFwPRClhtA45ivm0KvjXUEwI2hz68HkCoiWSJiAvATAP/PXAslIgL01ZC0Z3AEZ9r7Yr6zMKzEZYdvYATevmFNnk+kR5UeH4b8QWxcpO1UITC9kCUTvDb+n01fB7BNRA4B2AbAA8AP4IsAXlZKNeICROQeETkgIgfa2tqmURIRzVduhw2tPUMY9mvfH+pYczcAYGWMdxaGcYch0QdV1HkBAOsNMpLVBKBgzNf5AJrHXqCUalZK3aCUWgvgW6HXfAAuBfBlEanD6LqtO0TkR+MfoJR6QCm1Xim13uVyze4nIaJ5we2wQSngXPeg1qWMWfSuTcgqdnKHIdF4FbVeFDtT4NRgneR40wlZFQAWi8giEbECuBXAC2MvEBFnaGoQAL4JYCcAKKU+rZQqVEoVYXS061Gl1Ad2JxIRTVe4V1aTDnYYVnl8WJCWBFeqNn+Yux02JFpM3GFIFBIMKhyo79TFeixgGiFLKeUH8GUAfwZwAsDTSqljInKfiFwbuuwKACdF5BRGF7n/IEr1EtE8F+76rofF75UaLnoHRndbFrvsHMmiiHnnTAc+ef9e9A7p6+iq6Trd2gvfwAg2aNyENGxaexuVUi8DeHnca98Z8/mzAJ6d4h4PA3h4xhUSEY2Rmx5qSKpxyOod8uNMex+uvWj8PqDYKnGl4GiTT9MaKH789NVTOFDfiX01HdhelqN1OTNWHlqPtdEoI1lERHqSlGCG056o+Q7D483dUApY6Y5tE9LxSlx2NHX2Y3AkoGkdZHxVHh/eqR0NKXuq2zWuZnYqar3ISUtEQaZN61IAMGQRkQG5ddCQNLzoXav2DWEl2XYEFVDfwYOiaW527q5FstWMtYUO7DZgyFJKoaLOiw1FmRCZqDFC7DFkEZHh6KEhaZXHh+zURGSnJWlaRwnPMKQIONc9iBePNuPm9QW4esUCVLf26mIH70w0dQ6gxTeo+aHQYzFkEZHhuEMNSbXsdF7p8Wk+igUAi8JtHLjDkObg0X118AcVdmwpwpZSJwDjTRmG+2PpZWchwJBFRAaU57BhcCSIzv4RTZ7fP+xHTVsvVuggZCVbLXA7bBzJolkbGA7gt+80YPvyHCzMSkFZbhoykhMMN2VYUedFWpIFS3NStS7lPIYsIjIcrds4nGjpRlBpvx4rrNiVwq7vNGvPHWpCV/8I7t66CMBoa5DNJU7sqW431LmY5bVerC/KhMmkj/VYAEMWERlQvsYNSSub9LHoPazEZceZtl5D/YVI+hAMKuzcXYuV7rT3rWXaUurEue4hw4T3jt7RWtcXaX9e4VgMWURkOFqPZFV6uuG0JyInTftjO4DRHYZ9wwGc6x7SuhQymF2n21DT1ofPbS1+3468rQZbl1VR1wlAP/2xwhiyiMhwMpITkJRg0ixkVXl8WOlO0802ce4wpNl68O1a5KQl4mOrct/3emFWMgoybYZZl1VR54XVYsIqjQ5rnwxDFhEZjoic32EYawPDAZxu7dHNVCEwOl0IMGTRzLx3thu7q9txx6VFsFo+GAe2ljqxv6YD/kBQg+pm5kCdF2sKHEi0mLUu5X0YsojIkLTqlXXi7Oiidy3PLBwvOzUR9kQL2zjQjOzcXYukBBM+fUnhhO9vLnGiZ8iPox59H9vUN+RHVXO37qYKAYYsIjKo0ZGs2DdL1Eun97FEBCXcYUgz0N47hP863Iwb1+XDkWyd8JrNJVkAgL06nzI81NCFQFDp5lDosRiyiMiQ3A4b2nuHYn5mX2WTD1kp1vMHVetFeIch0XQ8vr8ew/4g7gq1bZhIlj0RZblpul+XVV7nhUmAdYUOrUv5AIYsIjKk8A7DFl9sR7Oqmruxwp2um0XvYSXZdjT7BtE35Ne6FNK5wZEAHt9fjw8vyz6/nm8yWxc78W59F/qH9fv7qqLWi7K8NKQmJWhdygcwZBGRIWnRxmFwJIDT53qwyp0Ws2dOV3iHYW07pwzpwl443Iz23uHzzUcvZHNJFoYDwfMtEvRm2B/EocZOXR2lMxZDFhEZUrghqSeGDUnfO9sDf1Dpaj1WWDF3GNI0KKWwc08tli1IPb/m6kI2LspEgll0uy6rqtmHwZGgLhe9AwxZRGRQOWlJEEFM2zhUhha962lnYdjCrGSYhAdF04Xtqe7Ae2d7cNfWRdOa8k62WrCuMEO367IqakcPhV7PkEVEFDlWiwnZqYkxnS6savLBkZwAd2iqUk8SLWYUZiZzhyFd0IO7z8Bpt+Lai/Km/T1bS5041twNb99wFCubnYo6LxY5U+BK1cfpC+MxZBGRYcW6IWlVsw+rdLjoPazEZed0IU2qurUXb5xsw+2bipCUMP2mnVsWjx6xs7dGX6NZwaBCRV0nNujsvMKxGLKIyLBi2ZB0yB/AqXM9upwqDCvJtqO2vQ+BIA+Kpg/auacWVosJn940cfPRyax2pyM10aK7cwxPt/bCNzCi20XvAEMWERmYO8OG5q5BBGMQKk6e7cFIQJ+L3sNKXCkY8gc1O9OR9KuzbxjPvduE69e44bTPbGrNYjbhkuIs7KnuiFJ1s1NRN7oea6MOm5CGMWQRkWG5HTYMB4Jo7xuK+rPOL3rP02/ICu8wrOaUIY3zu/IGDI5cuPnohWwtzUKDtx8NHf0Rrmz2Kuq8yE5NRGFmstalTIohi4gMKy893Csr+g1JqzzdSLcloCBTf4vew84fFM0dhjTGsD+IR/bW4bLFTixdkDqre2wNrcvao6N1WRW1XmxYlKnbNZIAQxYRGZg7hr2yqjw+rHSn6foP9MwUKzKSE7jDkN7npcpmtPYMzXoUCxgN8Nmpibpp5dDU2Y9m36Bu+2OFMWQRkWHFquv7sD+Ik2f1veg9jDsMaSylFH7zdi1Ks+3Yttg16/uICLaWOrGvpiMmayCnEl6PpedF7wBDFhEZWFqSBfZES9TbOJw614PhQFDX67HCRg+K5kgWjXqn1otjzd24a8simExzG4XdUuqEt28YJ852R6i62Suv7URqkmXW05+xwpBFRIYlIjHplVUVWvSu552FYSXZKWjvHYKvf0TrUkgHHtxdi4zkBNywzj3ne20pDa3L0sGUYUWdF+sXZsA8x+AYbQxZRGRoeY6kqE8XVnp8SE2yYGGWfncxhRU7Q4vf2zllON/VtffhtRPn8OlLFs6o+ehkFqQnoTTbjt0at3Lw9g2jurVXt0fpjMWQRUSGFouGpFUeH1bm6bfT+1gl2dxhSKMe3lsHi0lwx6ULI3bPLSVZqKj1YsgfiNg9Z8oI/bHCGLKIyNDcGTZ09o+gf9gflfuPBII4cbYHq/L1P1UIAAUZNiSYhTsM5znfwAiePtCIT1yUh+y0pIjdd0upEwMjARxq6IrYPWeqotYLq8WE1Qb4f5Ihi4gMzR3lHYanzvVg2B/Eiry0qNw/0ixmE4qyUrjDcJ57srwB/cMB3D2Htg0T2VSSBZNouy6ros6LNfkOJFrmPgUabQxZRGRo4TYOnig1JD3mGd1JZYRF72GjOwwZsuYrf2C0+eim4kysiPCO2LSkBFxU4NCsX1b/sB9Vzd3YsEi/h0KPxZBFRIYWHsmKVkPSSo8P9kQLirJSonL/aCjJTkF9Rz9GAkGtSyEN/HfVWTT7BnH31uKo3H9LiRNHGrvQPRj7HayHGroQCCrd98cKY8giIkPLTk2E2SRRmy6s9PiwIi9tzj2GYqnYaYc/qNDg1c85cxQ7D+6uRVFWMq5clh2V+28pdSKogHfOeKNy/wspr/XCJMDFCzmSRUQUdRazCQvSotPGwR8I4kRLtyE6vY/FHYbz18H6Thxu7MKOCDQfncy6hQ4kJZg0WZdVUefF8tw0pCYlxPzZs8GQRUSG53bY0BSFkFXd1oshf9BQ67EAoNg1OrXJHYbzz4O7zyAtyYJPXpwftWckWszYuCgr5uuyRgJBHGroMsxUIcCQRURxIFoNSSubRju9G20kKy0pAdmpidxhOM80evvxp6qzuO2SQqQkWqL6rK2lWahu7cVZX3Q2nEykyuPDwEjAEP2xwhiyiMjw8hw2nPUNIhDhg2urPD6kWM0odhpn0XsYdxjOP4/srYOI4LOXFkX9WZtLRo/Y2VsTu9GscBPS9UXGWI8FMGQRURxwZ9jgDyq09kT2X9WVHh/KDLboPawkOwU1bX1QKrLBk/Spd8iPpyoa8bFVuefbmkRTWW4aMpITYjplWF7biaKsZGSnRq65arQxZBGR4eVFoSFpIKhw3ICL3sOKnXb4BkbQ0TesdSkUA09XNKJnyB/x5qOTMZkEm0ud2FPdHpMgHwwqHKj3Gmo9FsCQRURxwB2FhqQ1bb0YHDHeovcw7jCcPwJBhYf21mL9wgysKXDE7LlbS5041z0Uk7V/1W296OofwQYDrccCphmyRORqETkpItUi8o0J3l8oIq+LyFEReVNE8kOvrxGRfSJyLPTeLZH+AYiI8qLQkDS86N2wIYs7DOeNV4+fRaN3IGajWGFbS0fXZe0+Hf0pw/La0KHQ8TaSJSJmAL8EcA2AMgC3iUjZuMt+DOBRpdRqAPcB+GHo9X4AdyilVgC4GsDPRSR2MZuI5gV7ogXptoSIThdWenywJZhR7LJH7J6xlJduQ1KCiTsM54EHd9ciP8OGq1YsiOlzCzKTUZBpw56ajqg/q6LOC1dqIhZmJUf9WZE0nZGsjQCqlVJnlFLDAJ4EcN24a8oAvB76/I3w+0qpU0qp06HPmwG0AnBFonAiorHyHLaIhqyq0KJ3swEXvQOja2aKndxhGO+ONnWhoq4Td24u0uT36tZSJ/bXdMAf5SOcDtR1YmNRJkSM9f/jdEKWG0DjmK+bQq+NdQTAjaHPrweQKiJZYy8QkY0ArABqxj9ARO4RkQMicqCtrW26tRMRned22OCJUMgKL3o36lRhWEm2ndOFce7B3bWwJ1pwy4YCTZ6/pdSJniE/jnp8UXuGp2sAnq4BbDBQ64aw6YSsiWLj+K0EXwewTUQOAdgGwAPAf/4GIrkAHgOwQyn1gbirlHpAKbVeKbXe5eJAFxHNnNuRFLGQVdvei/7hgGF3FoaVuFLQ2NmPwZGA1qVQFLT4BvDS0RbcvL5As2Nmwv2y9kRxXVZFaD2W0Ra9A9MLWU0AxkbkfADNYy9QSjUrpW5QSq0F8K3Qaz4AEJE0AC8B+LZSan9EqiYiGsedYUPPoB/dgyNzvlelx9iL3sOKXXYoBdR1cDQrHj2ytx5BpbBjS5FmNWSmWFGWm4Y9UWxKWl7nRWqiBcsWpEXtGdEynZBVAWCxiCwSESuAWwG8MPYCEXGKSPhe3wSwM/S6FcAfMLoo/pnIlU1E9H6R7JVV2dSNpATT+R16RnV+h2ErQ1a86R/244nyBnx0xQIUZGq7GHzrYifere9C/7B/6otnoaLWi4uLMgy5PnLKkKWU8gP4MoA/AzgB4Gml1DERuU9Erg1ddgWAkyJyCkAOgB+EXr8ZwOUA7hSRw6GPNZH+IYiIIhmyqpp9WJ6bBovZ2K0Ei52hXllc/B53fn+wCb6BkZi3bZjIllInhgNBVNR1RvzenX3DON3aa7gmpGHTOkFSKfUygJfHvfadMZ8/C+DZCb7vcQCPz7FGIqIp5UeoIWkwqHC8uRs3rBu/v8d4bFYz3A4bdxjGmWBQYeeeOlyUn46LF2q/GHxDUQasZhP2VLdj25LIrqsOn1do1JBl7H+mERGFOO2JSDDLnBuS1nb0oXfIb/hF72HcYRh/3jjZitr2Pty1dZEuWhokWy1Yt9ARlaakFXVeWM0mrM435v+PDFlEFBdMJkFu+tx7ZVWFFr2vzDPmH+rjlbhSUNPWy4Oi48hv3q5FbnoSPrYqV+tSzttS4sTxlm54I3xWZnldJy4qSEdSgjmi940VhiwiihvuCDQkrfL4YLWYsDjHmJ3exyt22dE/HMDZ7sid60jaOdbsw74zHfjs5iIk6GjN4JbFo60c9kZwl2H/sB/HPD7DThUCDFlEFEfyItCQtNIzuuhdT3+BzQV3GMaXnbvrYEsw47YNhVqX8j6r3elITbRgT3XkQtahhi74g8qQ/bHC4uNPESIijDYkPdc9iJFZHvERDCoc83Rjldt4/XgmU+riDsN40doziBePNOOm9flIT9am+ehkLGYTNpVkYXcEQ1ZFnRci0MXi/tliyCKiuOHOsCGogLO+2U2N1Xv70TPkj5v1WADgSk1EaqKFOwzjwOP76jESDGLHFu3bNkxkS0kWGr0DaOjoj8j9Kuq8WL4gDWkadbOPBIYsIoobc+2VFe70Hi87CwFARFDMHYaGN+QP4LfvNODDS7OxyKnPJrlbQ+uyItH9fSQQxLv1Xdho4KlCgCGLiOLI+ZDlm13IOubxwWo2YUlOaiTL0lx4hyEZ139XnkVH3zA+u7lI61ImVeKyIyctMSJThseauzEwEjD0oneAIYuI4og73JB0lr2yKj0+LMtNhdUSX380lrjsaPENoncoOseeUPQ9uq8Oi5wp2Frq1LqUSYkItpQ6sbe6HcHg3FqGnD8Uusi467EAhiwiiiNJCWZkpVhn1fVdKYUqjw8r4mg9Vlh4h2EtpwwNqcrjw7sNXfjMpoUw6fz8vq2lTnT2j+B4S/ec7lNe58XCrGRkpyVFqDJtMGQRUVzJm2WvrAZvP7oH/VgVR+uxwkq4w9DQHttXD1uCGZ+8OF/rUqa0pXTu/bKCQYUDdV7DTxUCDFlEFGfcs+yVVeUZ/Zd3PIaswqxkmE3CHYYG5OsfwfNHPPibtXlIt+l/l11OWhJKs+3YXd0x63vUtPWis38EGxmyiIj0JTySNdNjZCo9PiSYBUsWxEen97ESLWYUZiZzh6EBPXOwEYMjQdy+qUjrUqZta6kT5bUdGPIHZvX95eFDoQ2+sxBgyCKiOJPnSEL/cAC+gZEZfV+Vx4clOalItBjzjLSpcIeh8QSDCo/tr8f6hRkoyzNOg9wtpU4Mjoy2YJiNilovnPZEFGUlR7iy2GPIIqK4kp8xusOwaQY7DJVSqPT44nKqMKzYZceZ9j4E5rjri2LnrdNtqO/ox+2XLtS6lBm5pDgTJpn9uqyKuk5sXJQBEX0v8p8OhiwiiiuzaUja1DkA38BIXDUhHa/ElYJhf3DW7S0o9h7bVw+nPRHXrMzVupQZSUtKwEUFjln1y/J0DcDTNRAXi94BhiwiijOzCVlVoU7v8TySxR2GxtLo7cdfTrbito0FhuzbtrXUiSONXegenNm0/YHweiyGLCIi/clKsSLRYprRDsNKjw8Wk2Dpgvjq9D4WQ5axPP5OPUwi+NQlhVqXMitbSp0IKmB/zcx2GZbXepGaaMHyXOOsQbsQhiwiiisiArfDhuYZNCSt9PiwOCcVSQnxuegdADJSrMhMsXKHoQEMjgTwVEUjti/PQW66TetyZmVtoQO2BDP2zjBkVdR5sW5hBsw6b7o6XQxZRBR33BnT75UV7vS+yh0f/3K+EO4wNIYXjzSjq38EdxhswftYiRYzNizKnNG6rM6+YZw612v4o3TGYsgioriTlz79kNXsG0Rn/0hcr8cKK3ba2ZDUAB7bX4/SbDsuLcnSupQ52VqaherWXpz1TW9U+UB9J4D4WY8FMGQRURzKc9jQ1jM0rWaIlU2ji97jeWdhWEl2Ctp7h9HVP6x1KTSJw41dONrkw+2bFhq+hUH4iJ090xzNqqjzwmo24aICRzTLiimGLCKKO+5Qr6zp/Au67LFKJwAAHqhJREFUyuOD2SRxs9D2Qv66+J3rsvTq0X11SLGaccM6t9alzNnyBWnITLFOO2SV13qxOj89rtZGMmQRUdzJcyQBwLR6QlV6fFicbY+rP9gnEw5ZnDLUJ2/fMP54tAXXr3MjNUn/5xROxWQSXFqShT017VMec9U/7EeVxxcXR+mMxZBFRHHHHeqVNdW6rPCi9/kwVQiMdsO3mk0cydKppyoaMewP4o5Li7QuJWK2ljpxrntoyg0Xhxu64A+quDgUeiyGLCKKOwvSkyCCKds4nO0eREff8LxY9A4AFrMJRc5k7jDUoUBQ4fH99bhkUSaW5MRPv7atoXVZu09feMqwvM4LEWDdwvjZWQgwZBFRHEq0mOGyJ8LT1X/B6/666D3+12OFFTvtDFk69MZ7rfB0DeCzm4u0LiWiCjKTUZiZjN3VF+6XVVHnxbIFaUi3GX+adCyGLCKKS3nTaEha5fHBJEBZ7vwYyQJGdxg2dPRjJBDUuhQa49H99chJS8T2shytS4m4LaVOvHOmA/5Jfs+NBII41NCFjXHUHyuMIYuI4pI7wzbl+YVVzd0ozbbDZo3/Re9hJS47/EGF+o4Lj/JR7NS29+GtU2341MaFSDDH31/LW0qz0DPkx9HQGaHjHW/uRv9wIO4WvQMMWUQUp9yO0YakF9rVVDmPFr2HcYeh/jy+vx4Wk+C2jQValxIVm0tC/bImWZdVEWeHQo/FkEVEcSkvPQlD/iA6+iZuvHmuexBtPUNYmTe/QlaxKwUAe2XpxcBwAM8caMTVKxcgOy1J63KiIjPFihV5aZMesVNe60VhZjJy4vDnZ8giorjkzkgGgEmnDMOL3lflz6+QlZqUgJy0RC5+14nnD3vQPeiPq7YNE9la6sS7DZ3oH/a/73WlFA7Ud8blKBbAkEVEcWqqhqSVHh9EgLJ50Ol9PO4w1AelFB7dV49lC1Lj6lDkiWwudWIkoFBR1/m+12vaeuHtG8bGRfH58zNk0f/f3p2HV1Xd+x9/fzOHBAiYgBLmBAqoCBoRBWudlbYOrVWpU4en3v6q3trpVtv7s177XOvV2sHW3latWrm2tvVXpyuKWLVFyugEKFOYCVPCkJAwhCTf3x97hx5CQqLkZOec83k9z3myzx5yvuvss3O+WWvttUSSUnsDkr6/qZqSonzysjO6MqxuoaRfHqu21bY7CrfE19vrd/LB5hquOz3x5ylsz6lD+5CVnnbYFDvz1yTfpNCxlGSJSFLqnZtJXlZ6m8M4LK6oTplBSFsqKcqnZl8DVbWaKDpKT8xZR8/sDC4bl/jzFLanR1YGJw8pOGxQ0gVrd1CYn8WwwryIIosvJVkikpTMjAEFua0OSLpt9z621uzn+AGp11QIusOwO6jcvZ/pizfz2VMGpkxt6uTSQj7YXMP22v0H181fs4NTh/ZN2po8JVkikrTaGpB0STheT8rWZPULkizdYRidPy5Yz4FG57rTh0QdSpeZFE6xM2d1MPr7pl17qdi1N2mbCkFJlogksbYGJF1SUYMZHJ+iSdZxvXLIzUxX5/eINDQ28eS89UwuLTxYq5gKTizuTc/sjIP9sprHx5qQhIOQNlOSJSJJq7ggl+119eytbzxk/eKKaoYV5pGfIs00LaWlGcOL8pRkReTVpdvYXL0vpWqxIJigfGLJMQfHy1qwdgf52RmMTuI7fJVkiUjSah7GYVP1obVZSyqqU24Q0paGF2kYh6hMm7uWAb1zOHdUv6hD6XKTSwvZsGMv67fvYcGanZw8pA/pacnZHws6mGSZ2UVmttzMys3stla2DzGzv5rZIjN7w8wGxmy7wcxWho8bOjN4EZEjKS44fEDSqtr9bK7el7L9sZqVFOWxcede9h1obH9n6TTl22qZXb6dayYOISMJ5ylsT3O/rBcXb2b51t2cOiQ5x8dq1u4ZNrN04EHgYmAMMNXMxrTY7cfAE+4+FrgL+FF4bF/gB8BpwATgB2aW3O+oiHQbrQ1I2tzpPdXmLGyppCgfd1i7XZ3fu9L/zF1HVnoaV52anPMUtqekKI/+vbJ5eNZqgKScFDpWR9LoCUC5u69293rgKeDSFvuMAf4aLr8es/1CYKa773D3ncBM4KKjD1tEpH39e+WQZofWZDUnWccXJ28/kI5o7nC9apuSrK5Su7+Bp9/ayJQTj6UwPzvqcCJhZkwqLWRHXT2Z6ca4QQVRhxRXHUmyioENMc83hutivQd8Nly+HOhpZsd08FjM7EYzW2hmCysrKzsau4jIEWWmp3Fsrxw2xiRZiyuqGXpMD3rlZEYYWfSGFeZhhvpldaFn3qmgdn8D1yX5PIXtmRw2GY4dWEBOZnrE0cRXR5Ks1nqktZyL4dvAWWb2DnAWUAE0dPBY3P0hdy9z97KioqIOhCQi0jHBWFmxNVk1Kd9UCJCblU5xQa6SrC7i7kybs5bjB/Ti5MHJXXvTnkmlhZjBaUneVAgdS7I2ArGNxwOBTbE7uPsmd/+Mu48Hvh+uq+7IsSIi8RSMlRUMSLqjrp6KXXtTvtN7M91h2HXmrdnBiq21XJ8C8xS2p3+vHP7wlYn8y1klUYcSdx1JshYAI8xsmJllAVcDz8fuYGaFZtb8u24HHg2XZwAXmFmfsMP7BeE6EZEuMaAgl83Ve2lq8pQf6b2lkqI8VlfWaaLoLjBtzjp652ZyyUnJP09hR0wcfgy9c5O/yb7dJMvdG4CbCZKjpcCf3P19M7vLzC4Jd/sEsNzMVgD9gf8Mj90B/JAgUVsA3BWuExHpEgMKcjnQ6FTW7mdxc6f3FB8jq1lJUT576hvZUtP6JNrSObbW7GPG+1u4smwguVnJ3QdJDtWh4Y7dfTowvcW6O2KWnwaebuPYR/lnzZaISJcaWJALQMWuvSypqGZw3x707pH8/0F3ROwdhsf1zo04muT1+3nraXTn2ompNcK7aMR3EUlyA5qTrJ17WVxRrabCGCX98gDdYRhPBxqb+MP89Zw1soghx+RFHY50MSVZIpLUmgck/WBzDRt37tWdhTGK8rPpmZOhJCuOZry/hW2793N9is1TKAElWSKS1HrmZNIrJ4NX3t8CwAkpPghpLDPTHYZx9sScdQzqm8tZI1NvnkJRkiUiKWBAQS6rKoORzVN9YuiWSoryNOp7nCzbUsP8NTu49rQhST0JsrRNSZaIJL3isF/WwD659MnLijia7qWkKJ8tNfuo3d8QdShJZ9qcdWRnpHFlWWrOUyhKskQkBRT3CZIsdXo/XPMdhmsqVZvVmWr2HeCZdyr49EkDlNinMCVZIpL0mu8wVKf3w5XqDsO4+MtbG9lT36gO7ylOSZaIJL1iJVltGtw3j/Q0U5LVidydaXPXcdKgAsYOTO15ClOdkiwRSXrnje7P//3UGCaVHBN1KN1OVkYag/v2UJLVif6xajurKuu4XoOPprwOjfguIpLIcrPS+fLkYVGH0W3pDsPO9cSctfTNy+KTY4+LOhSJmGqyRERSXElRPmu219HYpImij9amXXuZ+cFWriwbRE6m5ilMdUqyRERSXElRPvUNTVTs3Bt1KAnv9/PW48A1pw2OOhTpBpRkiYikOM1h2Dn2NzTy1IL1nDuqH4P69og6HOkGlGSJiKS44YXBWFlKso7Oy0u2UFVbz3WnD406FOkmlGSJiKS4PnlZ9M3LUpJ1lJ6Ys46hx/TgzNLCqEORbkJJloiI6A7Do7Skopq31u3k2olDSNM8hRJSkiUiIpQU5asm6yhMm7OOnMw0PneK5imUf1KSJSIilBTls72unl176qMOJeHsqKvnufcquHx8Mb17ZEYdjnQjSrJERCTmDkM1GX5YD/x1JQcaXQPeymGUZImICCVFusPwo1hbVcf/zF3HVacOorRfz6jDkW5GSZaIiDCwTw+y0tOUZH1I985YRlZGGreeNyLqUKQbUpIlIiKkpxlDC3voDsMP4e31O5m+eAs3fnw4/XrmRB2OdENKskREBAiaDFerJqtD3J27X1xKUc9svnLm8KjDkW5KSZaIiABBkrV+xx4ONDZFHUq3N+P9rSxct5NvnDeSvOyMqMORbkpJloiIAMEdhg1Nzrrte6IOpVs70NjEvS8vo7RfPleWDYw6HOnGlGSJiAigOww76qn561ldVcftF48iI11fo9I2fTpERASA4Uqy2rV73wF+9upKThvWl3NG9Ys6HOnm1JAsIiIA5Gdn0L9Xtu4wPILf/G012+vqeeyTozHTHIVyZKrJEhGRgzSHYdu2VO/jkTdXc8lJAxg7sCDqcCQBKMkSEZGDmodxcPeoQ+l2fjJzOU1N8J0LPxZ1KJIglGSJiMhBJUV51OxroKpWE0XHWralhj+/tZHrTx/CoL49og5HEoSSLBEROaiknzq/t+ael5bRMzuDm88pjToUSSBKskRE5CAN43C42eVVvLG8kpvPKaWgR1bU4UgCUZIlIiIHHdsrh9zMdN1hGGpqcu6evpTiglyuP31o1OFIglGSJSIiB6WlGcOL8lSTFXruvQre31TDv130MXIy06MORxKMkiwRETlESVE+q6uUZO070MiPZ6zghOJefHrsgKjDkQSkJEtERA5RUpTPxp172XegMepQIvX4P9ZSsWsv35symrQ0DTwqH56SLBEROURJvzzcYeXW1K3N2llXz4Ovl3POqH6cUVIYdTiSoJRkiYjIIcYNKiArI40bpy1kwdodUYcTiV+8Vk7d/gZuu3hU1KFIAlOSJSIihxjYpwd/+T9nkJ2RxtUPzeVXb5TT1JQ6I8Cv217HtLlrubJsECP794w6HElgHUqyzOwiM1tuZuVmdlsr2web2etm9o6ZLTKzKeH6TDP7nZktNrOlZnZ7ZxdAREQ63wnFvXnhlslcfMKx3Pvycr74+AK21+6POqwucd+M5WSkpfGN80dGHYokuHaTLDNLBx4ELgbGAFPNbEyL3f4d+JO7jweuBn4Vrv8ckO3uJwKnAP9iZkM7J3QREYmnnjmZ/GLqeP7z8hOYs3o7Ux6YxbzV26MOK67e3bCL/120ma+cOYz+vXKiDkcSXEdqsiYA5e6+2t3rgaeAS1vs40CvcLk3sClmfZ6ZZQC5QD1Qc9RRi4hIlzAzrjltCM9+bRJ5WRlMfXguv3xtZVI2H7o7d7+4lML8LG48qyTqcCQJdCTJKgY2xDzfGK6LdSdwrZltBKYDt4TrnwbqgM3AeuDH7p6avShFRBLYmAG9eP6WyXz6pAH8+JUV3PDYfCp3J1fz4cwPtjJ/7Q5uPW8k+dkZUYcjSaAjSVZrg4O0/BdmKvC4uw8EpgDTzCyNoBasERgADAO+ZWbDD3sBsxvNbKGZLaysrPxQBRARka6Rn53Bz64axz2fOZH5a3Yw5YFZ/GNVVdRhdYqGxibueXkZw4vyuPrUQVGHI0miI0nWRiD2EzeQfzYHNvsy8CcAd58D5ACFwOeBl939gLtvA2YDZS1fwN0fcvcydy8rKir68KUQEZEuYWZcPWEwz908iV45GVz7yDx+/upKGhO8+fCpBRtYXVnHbReNIiNdN95L5+jIJ2kBMMLMhplZFkHH9udb7LMeOBfAzEYTJFmV4fpzLJAHTASWdVbwIiISjVHH9uL5mydz2bhifvrqCq777Ty27d4XdVgfSe3+Bn726gomDO3L+WP6Rx2OJJF2kyx3bwBuBmYASwnuInzfzO4ys0vC3b4FfMXM3gP+AHzB3Z3grsR8YAlBsvaYuy+KQzlERKSL5WVncP+VJ3HvFWN5e/1Opvz8TWaXJ17z4UN/X01VbT3f++RozDR9jnQeC3Kh7qOsrMwXLlwYdRgiIvIhrNi6m5uefJvyylpuObuUr583kvQEmO9va80+PnHfG5wzuh8Pfv7kqMORBGRmb7n7YV2hQCO+i4hIJxjZvyfP3TyJK04eyAOvlfP5h+eytab7Nx/+dOYKGpqa+O6Fmj5HOp+SLBER6RQ9sjK473Mncf/nTmLRxmqm/HwWf1/Rfe8YX7F1N39auIHrJg5l8DE9og5HkpCSLBER6VSfPWUgL9wyicL8bG54bD73zVhGQ2NT1GEd5p6XlpGXncEt55RGHYokKSVZIiLS6Ur79eTZmyZxVdkgHnx9FZ9/eB6bq/dGHdZB/1hVxWvLtnHT2aX0ycuKOhxJUkqyREQkLnKz0rnns2P52VXjWLIpaD58ffm2qMOiqcn50fRlFBfk8oUzhkYdjiQxJVkiIhJXl40v5oVbJtO/Vw5ffGwB97y0jAMRNh++sGgTiyuq+dYFI8nJTI8sDkl+SrJERCTuSoryefamSUydMJhf/20VVz80l027ur75cN+BRu59eTnHD+jFZeNaTsMr0rmUZImISJfIyUznR585kQemjmfZ5hqmPDCLx2avYXVlLV01ZuO0Oeuo2LWX700ZTVoCjOMliU3TjIuISJe65KQBnFjcm1ufeof/eOEDAIoLcplcWsjkEYVMKi2kbxw6o+/aU88vXlvJWSOLmFRa2Om/X6QlJVkiItLlhhXm8exNk1i3fQ+zyqt4c2Ul05ds5o8LN2AGxw/oxeTSIs4cUcgpQ/p0St+pX75WTu3+Bm6fooFHpWsoyRIRkUiYGUML8xhamMd1E4fQ0NjE4opq3lxZxazyKh6ZtZpf/20V2RlpTBjWlzNHFDK5tIhRx/b80E19G3bs4Yk567jilIGMOrZXnEokciglWSIi0i1kpKcxfnAfxg/uwy3njqBufwPz1mxn1soq3lxZxd3TlwHLKMzPYlJp0Kx45ohCjuud2+7vvm/GctLS4Jvnfyz+BREJKckSEZFuKS87g3NG9eecUf0B2FK9jzfDpsU3y7fz3LubACgpyuPMEUVMLi1kYskx5Gcf+tW2aOMunn9vEzefXcqxvXO6vBySuqyr7ujoqLKyMl+4cGHUYYiISDfm7izbsvtg0+L8NdvZd6CJjDRj/OACJpcWMXlEIScN7M01j8yjfFstb3znE/TMyYw6dEkyZvaWu5e1uk1JloiIJLp9Bxp5e93OsBN9FUs2VeMOeVnp1NU3ctelx3P96UOjDlOS0JGSLDUXiohIwsvJTOeM0kLOKC3kuxfBzrp6Zq+qYnZ5FXvqG5k6YXDUIUoKUpIlIiJJp09eFp8aO4BPjR0QdSiSwjTiu4iIiEgcKMkSERERiQMlWSIiIiJxoCRLREREJA6UZImIiIjEgZIsERERkThQkiUiIiISB0qyREREROJASZaIiIhIHCjJEhEREYkDJVkiIiIicaAkS0RERCQOlGSJiIiIxIGSLBEREZE4UJIlIiIiEgdKskRERETiQEmWiIiISBwoyRIRERGJA3P3qGM4hJlVAuuijqMVhUBV1EFEKJXLn8plh9QufyqXHVK7/Cp76vqw5R/i7kWtbeh2SVZ3ZWYL3b0s6jiiksrlT+WyQ2qXP5XLDqldfpU9NcsOnVt+NReKiIiIxIGSLBEREZE4UJLVcQ9FHUDEUrn8qVx2SO3yp3LZIbXLr7Knrk4rv/pkiYiIiMSBarJERERE4kBJloiIiEgcKMmKYWaDzOx1M1tqZu+b2ddb2ecTZlZtZu+GjzuiiDVezGytmS0Oy7awle1mZg+YWbmZLTKzk6OIs7OZ2cdizum7ZlZjZre22Cepzr2ZPWpm28xsScy6vmY208xWhj/7tHHsDeE+K83shq6LunO0Ufb7zGxZ+Ll+xswK2jj2iNdIImij/HeaWUXM53tKG8deZGbLw78Bt3Vd1J2jjbL/Mabca83s3TaOTehz39Z3XCpc90coe3yve3fXI3wAxwEnh8s9gRXAmBb7fAL436hjjeN7sBYoPML2KcBLgAETgXlRxxyH9yAd2EIwwFzSnnvg48DJwJKYdfcCt4XLtwH/1cpxfYHV4c8+4XKfqMvTCWW/AMgIl/+rtbKH2454jSTCo43y3wl8u53j0oFVwHAgC3iv5d/I7v5orewttt8P3JGM576t77hUuO6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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(power_demand_covid_weekly.Austria / power_demand_normal_weekly.Austria).plot()\n",
    "plt.xlabel('Week of the year');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Temperature data\n",
    "\n",
    "ERA5 data is provided as NetCDF file. The library `xarray` comes in very handy to load such files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "temperatures_dataset = xr.load_dataset('../data/temperatures_era5.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
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       "  font-size: 11px;\n",
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       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
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       "\n",
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       "  vertical-align: top;\n",
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       "\n",
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       "\n",
       ".xr-array-preview,\n",
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       "\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
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       "\n",
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       ".xr-dim-list:before {\n",
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       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
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       "  display: inline-block;\n",
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       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6bd554ae-1c11-421c-8e22-1a83b5198d8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6bd554ae-1c11-421c-8e22-1a83b5198d8d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 70</li><li><span class='xr-has-index'>longitude</span>: 77</li><li><span class='xr-has-index'>time</span>: 46009</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9211e0a4-c590-41f3-a7e0-ea03e2265977' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9211e0a4-c590-41f3-a7e0-ea03e2265977' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-13.5 -13.0 -12.5 ... 24.0 24.5</div><input id='attrs-05740c54-f380-43d9-aed3-d5f3e5ae691a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05740c54-f380-43d9-aed3-d5f3e5ae691a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b7b47f-c225-444f-9c38-f7373ef5f0bd' class='xr-var-data-in' type='checkbox'><label for='data-e9b7b47f-c225-444f-9c38-f7373ef5f0bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><pre class='xr-var-data'>array([-13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5, -10. ,  -9.5,  -9. ,\n",
       "        -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,  -5. ,  -4.5,  -4. ,\n",
       "        -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,   0. ,   0.5,   1. ,\n",
       "         1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,   5. ,   5.5,   6. ,\n",
       "         6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,  10. ,  10.5,  11. ,\n",
       "        11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,  15. ,  15.5,  16. ,\n",
       "        16.5,  17. ,  17.5,  18. ,  18.5,  19. ,  19.5,  20. ,  20.5,  21. ,\n",
       "        21.5,  22. ,  22.5,  23. ,  23.5,  24. ,  24.5], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 69.5 69.0 ... 36.5 36.0 35.5</div><input id='attrs-043d486c-b2ef-402d-b653-51fcc4f52a80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-043d486c-b2ef-402d-b653-51fcc4f52a80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-443cd4e0-75ae-4a4e-87b4-b6bcf63b4a0b' class='xr-var-data-in' type='checkbox'><label for='data-443cd4e0-75ae-4a4e-87b4-b6bcf63b4a0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><pre class='xr-var-data'>array([70. , 69.5, 69. , 68.5, 68. , 67.5, 67. , 66.5, 66. , 65.5, 65. , 64.5,\n",
       "       64. , 63.5, 63. , 62.5, 62. , 61.5, 61. , 60.5, 60. , 59.5, 59. , 58.5,\n",
       "       58. , 57.5, 57. , 56.5, 56. , 55.5, 55. , 54.5, 54. , 53.5, 53. , 52.5,\n",
       "       52. , 51.5, 51. , 50.5, 50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5,\n",
       "       46. , 45.5, 45. , 44.5, 44. , 43.5, 43. , 42.5, 42. , 41.5, 41. , 40.5,\n",
       "       40. , 39.5, 39. , 38.5, 38. , 37.5, 37. , 36.5, 36. , 35.5],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-01 ... 2020-04-01</div><input id='attrs-0a2ce355-288e-4069-9ef1-81954146ad2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a2ce355-288e-4069-9ef1-81954146ad2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce99a78d-80c8-46c3-b59e-30258d170588' class='xr-var-data-in' type='checkbox'><label for='data-ce99a78d-80c8-46c3-b59e-30258d170588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><pre class='xr-var-data'>array([&#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-03-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-31T23:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-f7a4f235-351e-47b0-aeb2-afe0bb58ea87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f7a4f235-351e-47b0-aeb2-afe0bb58ea87' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... nan 285.54413 nan</div><input id='attrs-2469b374-dd44-40b2-908a-6528809d06e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2469b374-dd44-40b2-908a-6528809d06e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59a5a883-c088-46ae-90cd-c6d4bd7795e0' class='xr-var-data-in' type='checkbox'><label for='data-59a5a883-c088-46ae-90cd-c6d4bd7795e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd></dl></div><pre class='xr-var-data'>array([[[      nan,       nan,       nan, ..., 271.84814, 270.50635,\n",
       "         269.94232],\n",
       "        [      nan,       nan,       nan, ..., 272.182  , 271.88733,\n",
       "         271.63693],\n",
       "        [      nan,       nan,       nan, ..., 271.85825, 271.62936,\n",
       "         271.83676],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.32657,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 271.8418 , 270.56958,\n",
       "         270.0751 ],\n",
       "        [      nan,       nan,       nan, ..., 272.16302, 271.9354 ,\n",
       "         271.6496 ],\n",
       "        [      nan,       nan,       nan, ..., 272.12256, 271.77478,\n",
       "         271.87216],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.20264,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 271.81778, 270.62778,\n",
       "         270.09662],\n",
       "        [      nan,       nan,       nan, ..., 272.22372, 272.0214 ,\n",
       "         271.60278],\n",
       "        [      nan,       nan,       nan, ..., 272.5892 , 272.1668 ,\n",
       "         272.08716],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.09766,\n",
       "               nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 266.33685, 264.79526,\n",
       "         264.29193],\n",
       "        [      nan,       nan,       nan, ..., 265.28848, 265.32516,\n",
       "         265.45035],\n",
       "        [      nan,       nan,       nan, ..., 265.5591 , 265.27835,\n",
       "         265.45035],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.73886,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 266.17374, 264.61948,\n",
       "         264.28183],\n",
       "        [      nan,       nan,       nan, ..., 265.11902, 265.20123,\n",
       "         265.40228],\n",
       "        [      nan,       nan,       nan, ..., 265.4124 , 265.21133,\n",
       "         265.41113],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.67438,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 265.7526 , 263.57236,\n",
       "         263.5471 ],\n",
       "        [      nan,       nan,       nan, ..., 264.9015 , 264.87747,\n",
       "         265.03555],\n",
       "        [      nan,       nan,       nan, ..., 265.23285, 265.009  ,\n",
       "         265.20248],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.54413,\n",
       "               nan]]], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-0b0b7c23-dee3-4be9-9c37-d048102dbeb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b0b7c23-dee3-4be9-9c37-d048102dbeb0' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2020-06-01 12:39:22 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data8/adaptor.mars.internal-1591007356.594523-14982-19-e36abd38-33ae-4fe1-b9c1-f5d6ae9c28c4.nc /cache/tmp/e36abd38-33ae-4fe1-b9c1-f5d6ae9c28c4-adaptor.mars.internal-1591007356.595171-14982-2-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 70, longitude: 77, time: 46009)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -13.5 -13.0 -12.5 -12.0 ... 23.5 24.0 24.5\n",
       "  * latitude   (latitude) float32 70.0 69.5 69.0 68.5 ... 37.0 36.5 36.0 35.5\n",
       "  * time       (time) datetime64[ns] 2015-01-01 ... 2020-04-01\n",
       "Data variables:\n",
       "    t2m        (time, latitude, longitude) float32 nan nan nan ... 285.54413 nan\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2020-06-01 12:39:22 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temperatures_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "temperatures = temperatures_dataset.t2m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'t2m'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 46009</li><li><span class='xr-has-index'>latitude</span>: 70</li><li><span class='xr-has-index'>longitude</span>: 77</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fb50f522-7b04-4691-8de0-3b90606b4491' class='xr-array-in' type='checkbox' ><label for='section-fb50f522-7b04-4691-8de0-3b90606b4491' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan 285.54413 nan</span></div><pre class='xr-array-data'>array([[[      nan,       nan,       nan, ..., 271.84814, 270.50635,\n",
       "         269.94232],\n",
       "        [      nan,       nan,       nan, ..., 272.182  , 271.88733,\n",
       "         271.63693],\n",
       "        [      nan,       nan,       nan, ..., 271.85825, 271.62936,\n",
       "         271.83676],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.32657,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 271.8418 , 270.56958,\n",
       "         270.0751 ],\n",
       "        [      nan,       nan,       nan, ..., 272.16302, 271.9354 ,\n",
       "         271.6496 ],\n",
       "        [      nan,       nan,       nan, ..., 272.12256, 271.77478,\n",
       "         271.87216],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.20264,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 271.81778, 270.62778,\n",
       "         270.09662],\n",
       "        [      nan,       nan,       nan, ..., 272.22372, 272.0214 ,\n",
       "         271.60278],\n",
       "        [      nan,       nan,       nan, ..., 272.5892 , 272.1668 ,\n",
       "         272.08716],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.09766,\n",
       "               nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 266.33685, 264.79526,\n",
       "         264.29193],\n",
       "        [      nan,       nan,       nan, ..., 265.28848, 265.32516,\n",
       "         265.45035],\n",
       "        [      nan,       nan,       nan, ..., 265.5591 , 265.27835,\n",
       "         265.45035],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.73886,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 266.17374, 264.61948,\n",
       "         264.28183],\n",
       "        [      nan,       nan,       nan, ..., 265.11902, 265.20123,\n",
       "         265.40228],\n",
       "        [      nan,       nan,       nan, ..., 265.4124 , 265.21133,\n",
       "         265.41113],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.67438,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 265.7526 , 263.57236,\n",
       "         263.5471 ],\n",
       "        [      nan,       nan,       nan, ..., 264.9015 , 264.87747,\n",
       "         265.03555],\n",
       "        [      nan,       nan,       nan, ..., 265.23285, 265.009  ,\n",
       "         265.20248],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.54413,\n",
       "               nan]]], dtype=float32)</pre></div></li><li class='xr-section-item'><input id='section-81eaef78-4fa7-4c4b-bd8a-d8e6f51ff031' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81eaef78-4fa7-4c4b-bd8a-d8e6f51ff031' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-13.5 -13.0 -12.5 ... 24.0 24.5</div><input id='attrs-d5adf47c-bad5-46f7-aa89-dcf233845e83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5adf47c-bad5-46f7-aa89-dcf233845e83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11e8c057-7c5d-4b2a-8e7b-48df903b7631' class='xr-var-data-in' type='checkbox'><label for='data-11e8c057-7c5d-4b2a-8e7b-48df903b7631' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><pre class='xr-var-data'>array([-13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5, -10. ,  -9.5,  -9. ,\n",
       "        -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,  -5. ,  -4.5,  -4. ,\n",
       "        -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,   0. ,   0.5,   1. ,\n",
       "         1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,   5. ,   5.5,   6. ,\n",
       "         6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,  10. ,  10.5,  11. ,\n",
       "        11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,  15. ,  15.5,  16. ,\n",
       "        16.5,  17. ,  17.5,  18. ,  18.5,  19. ,  19.5,  20. ,  20.5,  21. ,\n",
       "        21.5,  22. ,  22.5,  23. ,  23.5,  24. ,  24.5], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 69.5 69.0 ... 36.5 36.0 35.5</div><input id='attrs-d44f173b-fff2-4f60-a663-984c26366de2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d44f173b-fff2-4f60-a663-984c26366de2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32496784-06fe-4ab5-9043-81ca2eb9b22f' class='xr-var-data-in' type='checkbox'><label for='data-32496784-06fe-4ab5-9043-81ca2eb9b22f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><pre class='xr-var-data'>array([70. , 69.5, 69. , 68.5, 68. , 67.5, 67. , 66.5, 66. , 65.5, 65. , 64.5,\n",
       "       64. , 63.5, 63. , 62.5, 62. , 61.5, 61. , 60.5, 60. , 59.5, 59. , 58.5,\n",
       "       58. , 57.5, 57. , 56.5, 56. , 55.5, 55. , 54.5, 54. , 53.5, 53. , 52.5,\n",
       "       52. , 51.5, 51. , 50.5, 50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5,\n",
       "       46. , 45.5, 45. , 44.5, 44. , 43.5, 43. , 42.5, 42. , 41.5, 41. , 40.5,\n",
       "       40. , 39.5, 39. , 38.5, 38. , 37.5, 37. , 36.5, 36. , 35.5],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-01 ... 2020-04-01</div><input id='attrs-606f838e-ca54-4285-9866-1bffb441a285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-606f838e-ca54-4285-9866-1bffb441a285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05ccf2c0-3038-466f-983b-cb2f26c18df7' class='xr-var-data-in' type='checkbox'><label for='data-05ccf2c0-3038-466f-983b-cb2f26c18df7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><pre class='xr-var-data'>array([&#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-03-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-31T23:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-10b22a8f-77ce-4e98-9fab-23650bb77e54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10b22a8f-77ce-4e98-9fab-23650bb77e54' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't2m' (time: 46009, latitude: 70, longitude: 77)>\n",
       "array([[[      nan,       nan,       nan, ..., 271.84814, 270.50635,\n",
       "         269.94232],\n",
       "        [      nan,       nan,       nan, ..., 272.182  , 271.88733,\n",
       "         271.63693],\n",
       "        [      nan,       nan,       nan, ..., 271.85825, 271.62936,\n",
       "         271.83676],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.32657,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 271.8418 , 270.56958,\n",
       "         270.0751 ],\n",
       "        [      nan,       nan,       nan, ..., 272.16302, 271.9354 ,\n",
       "         271.6496 ],\n",
       "        [      nan,       nan,       nan, ..., 272.12256, 271.77478,\n",
       "         271.87216],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.20264,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 271.81778, 270.62778,\n",
       "         270.09662],\n",
       "        [      nan,       nan,       nan, ..., 272.22372, 272.0214 ,\n",
       "         271.60278],\n",
       "        [      nan,       nan,       nan, ..., 272.5892 , 272.1668 ,\n",
       "         272.08716],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 281.09766,\n",
       "               nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 266.33685, 264.79526,\n",
       "         264.29193],\n",
       "        [      nan,       nan,       nan, ..., 265.28848, 265.32516,\n",
       "         265.45035],\n",
       "        [      nan,       nan,       nan, ..., 265.5591 , 265.27835,\n",
       "         265.45035],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.73886,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 266.17374, 264.61948,\n",
       "         264.28183],\n",
       "        [      nan,       nan,       nan, ..., 265.11902, 265.20123,\n",
       "         265.40228],\n",
       "        [      nan,       nan,       nan, ..., 265.4124 , 265.21133,\n",
       "         265.41113],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.67438,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ..., 265.7526 , 263.57236,\n",
       "         263.5471 ],\n",
       "        [      nan,       nan,       nan, ..., 264.9015 , 264.87747,\n",
       "         265.03555],\n",
       "        [      nan,       nan,       nan, ..., 265.23285, 265.009  ,\n",
       "         265.20248],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan, 285.54413,\n",
       "               nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -13.5 -13.0 -12.5 -12.0 ... 23.5 24.0 24.5\n",
       "  * latitude   (latitude) float32 70.0 69.5 69.0 68.5 ... 37.0 36.5 36.0 35.5\n",
       "  * time       (time) datetime64[ns] 2015-01-01 ... 2020-04-01\n",
       "Attributes:\n",
       "    units:      K\n",
       "    long_name:  2 metre temperature"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temperatures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Oh there are NaN values? How many of them?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5575139146567718"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_size = temperatures.sizes['time'] * temperatures.sizes['latitude'] * temperatures.sizes['longitude']\n",
    "float(np.isnan(temperatures).sum() / total_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Uh 55% of missing values.. That's not good! What could that be?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f622293d750>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(~np.isnan(temperatures)).prod(dim='time').plot.imshow(cmap='gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "**Note:** We downloaded the product `'reanalysis-era5-land'`, there is also `'era5-single-levels'` which contains data also for locations in the sea."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Exercise 1\n",
    "\n",
    "Plot the mean temperature for each location!\n",
    "\n",
    "(There will be a warning because of the NaNs, but that's okay.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Temperature seems not to be in °C..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "temperatures = temperatures - 273.15\n",
    "temperatures.name = 'Temperature [C°]'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f6233020a50>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temperatures.mean(dim='time').plot.imshow()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Pick random grid points to calculate the mean\n",
    "\n",
    "As a next step, we want to calculate the mean temperature for each country."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll pick just some random samples from the grid for each country, to make computation of the man faster. The coordinates are already prepared as CSV file, which has been generated using the following code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "def choose_country_points(longitude, latitude, grid_points_per_country=200):\n",
    "    \"\"\"Pick random points for each country from the grid with axis ``longitude`` and ``latitude``.\n",
    "    ``size`` is the number of points ot be picked for \n",
    "    \n",
    "    Returns a dataframe with two columns per country (longitude & latitude)\n",
    "    and ``grid_points_per_country`` numbers of rows.\n",
    "    \n",
    "    Note: GeoJSON always uses WGS84:\n",
    "    https://tools.ietf.org/html/rfc7946\n",
    "    \n",
    "    \"\"\"\n",
    "    # local import to avoid dependency\n",
    "    import geopandas\n",
    "    from shapely.geometry import Point\n",
    "    \n",
    "    longitudes, latitudes = np.meshgrid(longitude, latitude)\n",
    "    \n",
    "    longitudes = longitudes.flatten()\n",
    "    latitudes = latitudes.flatten()\n",
    "    \n",
    "    grid_points = geopandas.GeoSeries(geopandas.points_from_xy(longitudes.flatten(),\n",
    "                                                           latitudes.flatten()))\n",
    "    \n",
    "    # XXX fix me, correct path!\n",
    "    country_borders = geopandas.read_file('../data/countries.geojson')\n",
    "\n",
    "    chosen_gridpoints = pd.DataFrame()\n",
    "\n",
    "    for country in COUNTRIES:\n",
    "        print(f\"Picking grid points for {country}...\")\n",
    "        is_country = country_borders.ADMIN == country\n",
    "\n",
    "        country_border = country_borders[is_country].geometry.iloc[0]\n",
    "\n",
    "        is_in_country = grid_points.within(country_border)\n",
    "\n",
    "        number_of_points = is_in_country.sum()\n",
    "        \n",
    "        # make things reproducible!\n",
    "        np.random.seed(42)\n",
    "        \n",
    "        idcs = np.random.randint(number_of_points, size=grid_points_per_country)\n",
    "\n",
    "        chosen_gridpoints[f'{country}_longitude'] = longitudes[is_in_country][idcs]\n",
    "        chosen_gridpoints[f'{country}_latitude'] = latitudes[is_in_country][idcs]\n",
    "        \n",
    "    return chosen_gridpoints"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "In order to recreate the `country_points.csv` one needs to install `geopandas` and download a `GeoJSON` file (23MB) which contains the country borders. On windows there might be no `wget` command, use `requests.get()` instead to download the file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !conda install --yes geopandas\n",
    "# !wget -O ../data/countries.geojson https://raw.githubusercontent.com/datasets/geo-countries/master/data/countries.geojson"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "The following lines create the `country_points.csv`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# country_points = choose_country_points(temperatures.longitude, temperatures.latitude)\n",
    "# country_points.to_csv('../data/country_points.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "But since it is already prepared, let's just load it..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "country_points = pd.read_csv('../data/country_points.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Austria_longitude</th>\n",
       "      <th>Austria_latitude</th>\n",
       "      <th>Germany_longitude</th>\n",
       "      <th>Germany_latitude</th>\n",
       "      <th>Switzerland_longitude</th>\n",
       "      <th>Switzerland_latitude</th>\n",
       "      <th>Italy_longitude</th>\n",
       "      <th>Italy_latitude</th>\n",
       "      <th>Spain_longitude</th>\n",
       "      <th>Spain_latitude</th>\n",
       "      <th>Sweden_longitude</th>\n",
       "      <th>Sweden_latitude</th>\n",
       "      <th>United Kingdom_longitude</th>\n",
       "      <th>United Kingdom_latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>15.5</td>\n",
       "      <td>47.0</td>\n",
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       "      <td>47.0</td>\n",
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       "      <td>16.0</td>\n",
       "      <td>65.0</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>51.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>12.0</td>\n",
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       "      <td>53.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>46.5</td>\n",
       "      <td>11.5</td>\n",
       "      <td>46.0</td>\n",
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       "      <td>18.0</td>\n",
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       "      <td>9.5</td>\n",
       "      <td>47.0</td>\n",
       "      <td>17.5</td>\n",
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       "      <td>43.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-2.5</td>\n",
       "      <td>52.0</td>\n",
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       "      <td>12.5</td>\n",
       "      <td>47.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>51.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>42.5</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>40.5</td>\n",
       "      <td>16.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>54.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>195</th>\n",
       "      <td>15.5</td>\n",
       "      <td>48.5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>10.5</td>\n",
       "      <td>45.0</td>\n",
       "      <td>-4.5</td>\n",
       "      <td>37.5</td>\n",
       "      <td>21.0</td>\n",
       "      <td>65.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>52.5</td>\n",
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       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>11.5</td>\n",
       "      <td>47.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>46.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>-2.5</td>\n",
       "      <td>40.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>61.5</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>55.0</td>\n",
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       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>14.5</td>\n",
       "      <td>48.5</td>\n",
       "      <td>12.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>46.5</td>\n",
       "      <td>17.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>14.5</td>\n",
       "      <td>59.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.0</td>\n",
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       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>14.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>44.5</td>\n",
       "      <td>-2.5</td>\n",
       "      <td>37.0</td>\n",
       "      <td>20.5</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-2.5</td>\n",
       "      <td>55.0</td>\n",
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       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>17.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>48.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>13.5</td>\n",
       "      <td>37.5</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>43.5</td>\n",
       "      <td>20.5</td>\n",
       "      <td>65.5</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>51.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Austria_longitude  Austria_latitude  Germany_longitude  Germany_latitude  \\\n",
       "0                 15.5              47.0               13.5              51.0   \n",
       "1                 10.0              47.0                8.5              51.0   \n",
       "2                 16.0              48.0                9.5              53.5   \n",
       "3                 16.5              48.5                7.5              50.5   \n",
       "4                 12.5              47.5                7.0              51.5   \n",
       "..                 ...               ...                ...               ...   \n",
       "195               15.5              48.5               10.0              49.0   \n",
       "196               11.5              47.0               10.0              50.0   \n",
       "197               14.5              48.5               12.0              50.0   \n",
       "198               14.0              48.0               14.0              52.5   \n",
       "199               17.0              48.0               11.5              48.0   \n",
       "\n",
       "     Switzerland_longitude  Switzerland_latitude  Italy_longitude  \\\n",
       "0                      7.5                  47.0             15.0   \n",
       "1                      7.0                  46.0             14.0   \n",
       "2                      8.0                  46.5             11.5   \n",
       "3                      9.5                  47.0             17.5   \n",
       "4                      8.0                  47.0             11.5   \n",
       "..                     ...                   ...              ...   \n",
       "195                    8.0                  47.5             10.5   \n",
       "196                    7.5                  46.0              8.0   \n",
       "197                    6.5                  46.5             17.0   \n",
       "198                    7.0                  47.0             10.5   \n",
       "199                    9.0                  47.5             13.5   \n",
       "\n",
       "     Italy_latitude  Spain_longitude  Spain_latitude  Sweden_longitude  \\\n",
       "0              40.5             -4.0            40.5              16.0   \n",
       "1              41.0             -3.0            38.0              12.0   \n",
       "2              46.0             -1.5            41.0              18.0   \n",
       "3              40.5             -5.0            43.0              17.5   \n",
       "4              42.5             -2.0            40.5              16.0   \n",
       "..              ...              ...             ...               ...   \n",
       "195            45.0             -4.5            37.5              21.0   \n",
       "196            46.0             -2.5            40.0              16.0   \n",
       "197            41.0             -5.0            40.0              14.5   \n",
       "198            44.5             -2.5            37.0              20.5   \n",
       "199            37.5             -7.0            43.5              20.5   \n",
       "\n",
       "     Sweden_latitude  United Kingdom_longitude  United Kingdom_latitude  \n",
       "0               65.0                      -4.5                     52.0  \n",
       "1               58.0                      -2.5                     52.5  \n",
       "2               65.0                      -4.0                     57.5  \n",
       "3               66.0                      -2.5                     52.0  \n",
       "4               62.0                      -1.0                     54.0  \n",
       "..               ...                       ...                      ...  \n",
       "195             65.5                       0.5                     52.5  \n",
       "196             61.5                      -6.0                     55.0  \n",
       "197             59.5                       0.0                     51.0  \n",
       "198             64.0                      -2.5                     55.0  \n",
       "199             65.5                      -0.5                     51.5  \n",
       "\n",
       "[200 rows x 14 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's plote some of these points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(country_points['Austria_longitude'], country_points['Austria_latitude'], 'o')\n",
    "plt.xlabel('Longitude [deg]')\n",
    "plt.ylabel('Latitude [deg]');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(country_points['Germany_longitude'], country_points['Germany_latitude'], 'o')\n",
    "plt.xlabel('Longitude [deg]')\n",
    "plt.ylabel('Latitude [deg]');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Calculate mean temperature for each country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "country = 'Austria'\n",
    "country_temperature = temperatures.sel(\n",
    "        longitude=xr.DataArray(country_points['Austria_longitude'], dims='points'),\n",
    "        latitude=xr.DataArray(country_points['Austria_latitude'], dims='points'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
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       "  fill: currentColor;\n",
       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Temperature [C°]'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 46009</li><li><span class='xr-has-index'>points</span>: 200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1ce45dd9-0ee2-4485-9c39-9fbf882ee6e8' class='xr-array-in' type='checkbox' ><label for='section-1ce45dd9-0ee2-4485-9c39-9fbf882ee6e8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-4.2307434 -14.59317 -2.26297 ... -3.1216736 -1.5180969 -1.7330933</span></div><pre class='xr-array-data'>array([[ -4.2307434 , -14.59317   ,  -2.26297   , ...,  -2.5500488 ,\n",
       "         -1.1437683 ,  -4.4457397 ],\n",
       "       [ -4.213043  , -14.806885  ,  -1.690094  , ...,  -2.4906006 ,\n",
       "         -1.6597595 ,  -4.369873  ],\n",
       "       [ -4.1118774 , -14.935883  ,  -1.399231  , ...,  -2.2832031 ,\n",
       "         -1.5117798 ,  -4.1422424 ],\n",
       "       ...,\n",
       "       [ -1.6825256 ,  -7.398651  ,  -2.71698   , ...,  -2.2642517 ,\n",
       "         -0.60250854,  -0.72265625],\n",
       "       [ -2.0328064 ,  -7.702179  ,  -2.9193115 , ...,  -2.8813782 ,\n",
       "         -1.0615845 ,  -1.2196655 ],\n",
       "       [ -2.1959534 ,  -7.993042  ,  -3.278473  , ...,  -3.1216736 ,\n",
       "         -1.5180969 ,  -1.7330933 ]], dtype=float32)</pre></div></li><li class='xr-section-item'><input id='section-1eecfc19-1939-4f22-aade-a5ad453c6103' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1eecfc19-1939-4f22-aade-a5ad453c6103' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.5 10.0 16.0 ... 14.5 14.0 17.0</div><input id='attrs-99079ec2-d610-4025-bffb-f2f440d1651f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99079ec2-d610-4025-bffb-f2f440d1651f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9124317a-42d1-47b3-98cd-a235a54cd941' class='xr-var-data-in' type='checkbox'><label for='data-9124317a-42d1-47b3-98cd-a235a54cd941' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><pre class='xr-var-data'>array([15.5, 10. , 16. , 16.5, 12.5, 15.5, 11.5, 14. , 14. , 14. , 14.5, 14. ,\n",
       "       16. , 14.5, 14. , 13.5, 13.5, 14.5, 10.5, 15. , 13.5, 12.5, 12.5, 14.5,\n",
       "       13.5, 15. , 16. , 14.5, 16.5, 16.5, 16. , 14. , 14.5, 16. , 12.5, 13. ,\n",
       "       15.5, 10.5, 14.5, 15. , 15.5, 13. , 15.5, 13.5, 12. , 16.5, 16. , 16.5,\n",
       "       13.5, 15.5, 17. , 14. , 16. , 14.5, 13.5, 15.5, 14.5, 14.5, 10. , 10.5,\n",
       "       15.5, 13. , 13.5, 14. , 15.5, 11. , 16. , 16.5, 15.5, 14. , 16. , 12.5,\n",
       "       16.5, 10.5, 14.5, 15.5, 15. , 14. , 10. , 16. , 15. , 15. , 16. , 13. ,\n",
       "       14.5, 15. , 16.5, 14.5, 14. , 17. , 16.5, 13.5, 13.5, 12.5, 15. , 14.5,\n",
       "       15.5, 14. , 16.5, 16. , 13. , 16.5, 14.5, 13. , 12.5, 14. , 14.5, 14.5,\n",
       "       13.5, 16. , 13.5, 16. , 13.5, 15. , 13.5, 14.5, 15.5, 14. , 15. , 15. ,\n",
       "       15.5, 15.5, 15.5, 16. , 13. , 16. , 16. , 15.5, 14.5, 15. , 11.5, 15.5,\n",
       "       11.5, 14.5, 10.5, 14.5, 14. , 15.5, 16. , 10. , 14. , 15. , 11.5, 16. ,\n",
       "       13.5, 16.5, 13.5, 14.5, 15.5, 16.5, 16.5, 12. , 10.5, 14. , 16.5, 15. ,\n",
       "       15.5, 12.5, 15. , 16. , 15. , 14. , 14. , 15.5, 15.5, 16.5, 16. , 13. ,\n",
       "       14.5, 12.5, 14.5, 14.5, 16. , 11.5, 11.5, 14.5, 14. , 14.5, 15.5, 13.5,\n",
       "       14. , 14.5, 17. , 13.5, 13.5, 16.5, 14. , 14.5, 11.5, 12.5, 15. , 11.5,\n",
       "       13.5, 15.5, 11.5, 15.5, 11.5, 14.5, 14. , 17. ], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>47.0 47.0 48.0 ... 48.5 48.0 48.0</div><input id='attrs-429714b5-f718-42f5-b84e-0ada09fbdf5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-429714b5-f718-42f5-b84e-0ada09fbdf5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f88eaf4d-9096-4f18-883a-bafbbf3fe293' class='xr-var-data-in' type='checkbox'><label for='data-f88eaf4d-9096-4f18-883a-bafbbf3fe293' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><pre class='xr-var-data'>array([47. , 47. , 48. , 48.5, 47.5, 47. , 47.5, 47.5, 48. , 48. , 47.5, 47. ,\n",
       "       47. , 47.5, 48.5, 47.5, 48.5, 47.5, 47. , 47. , 48.5, 47.5, 47. , 48. ,\n",
       "       47.5, 47.5, 47.5, 46.5, 47.5, 48. , 48. , 48.5, 47. , 48.5, 47.5, 48. ,\n",
       "       47. , 47.5, 48.5, 47.5, 48. , 48. , 47.5, 48.5, 47.5, 47.5, 48.5, 48.5,\n",
       "       47. , 48. , 48. , 47. , 47. , 48.5, 48.5, 48.5, 46.5, 48.5, 47. , 47.5,\n",
       "       47.5, 47. , 48. , 47. , 48. , 47. , 48. , 48.5, 48. , 47.5, 47. , 47.5,\n",
       "       48. , 47.5, 47.5, 47.5, 47.5, 46.5, 47. , 48. , 49. , 47.5, 48.5, 48. ,\n",
       "       47.5, 49. , 48.5, 47.5, 48. , 48. , 48.5, 47. , 47. , 47. , 48.5, 46.5,\n",
       "       47. , 46.5, 47.5, 48.5, 48. , 48.5, 48. , 47. , 47. , 47.5, 47.5, 47. ,\n",
       "       47. , 47. , 47.5, 47.5, 47. , 49. , 47. , 47. , 48. , 48.5, 49. , 48.5,\n",
       "       47.5, 48. , 47. , 47.5, 48. , 48. , 48. , 47.5, 46.5, 48. , 47. , 47. ,\n",
       "       47. , 48.5, 47. , 47. , 47.5, 47. , 48. , 47. , 47. , 48. , 47. , 48.5,\n",
       "       47.5, 47.5, 48.5, 46.5, 48.5, 47.5, 47.5, 47.5, 47. , 48. , 47.5, 47.5,\n",
       "       47. , 47. , 49. , 47.5, 48. , 46.5, 48.5, 47. , 48.5, 48.5, 47.5, 48. ,\n",
       "       47. , 47. , 46.5, 47.5, 48. , 47. , 47. , 47.5, 46.5, 48. , 47. , 48.5,\n",
       "       48.5, 47. , 48. , 48.5, 48.5, 47.5, 47.5, 47. , 47. , 47. , 49. , 47.5,\n",
       "       48.5, 47.5, 47. , 48.5, 47. , 48.5, 48. , 48. ], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-01 ... 2020-04-01</div><input id='attrs-5568fcab-05d3-4b3a-8097-f20377bbcb51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5568fcab-05d3-4b3a-8097-f20377bbcb51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd9a5a0b-c70c-4090-addf-78d10a8a4d49' class='xr-var-data-in' type='checkbox'><label for='data-fd9a5a0b-c70c-4090-addf-78d10a8a4d49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><pre class='xr-var-data'>array([&#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-03-31T22:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-31T23:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 195 196 197 198 199</div><input id='attrs-300c2eb8-1419-4ee7-ac2c-7f5eb6c77cf8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-300c2eb8-1419-4ee7-ac2c-7f5eb6c77cf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d05410b1-e5af-42a6-95d9-2a73d42d1619' class='xr-var-data-in' type='checkbox'><label for='data-d05410b1-e5af-42a6-95d9-2a73d42d1619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
       "       140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,\n",
       "       154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,\n",
       "       168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
       "       182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
       "       196, 197, 198, 199])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-80606815-aa1b-4c92-8418-d5ce6679733b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-80606815-aa1b-4c92-8418-d5ce6679733b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'Temperature [C°]' (time: 46009, points: 200)>\n",
       "array([[ -4.2307434 , -14.59317   ,  -2.26297   , ...,  -2.5500488 ,\n",
       "         -1.1437683 ,  -4.4457397 ],\n",
       "       [ -4.213043  , -14.806885  ,  -1.690094  , ...,  -2.4906006 ,\n",
       "         -1.6597595 ,  -4.369873  ],\n",
       "       [ -4.1118774 , -14.935883  ,  -1.399231  , ...,  -2.2832031 ,\n",
       "         -1.5117798 ,  -4.1422424 ],\n",
       "       ...,\n",
       "       [ -1.6825256 ,  -7.398651  ,  -2.71698   , ...,  -2.2642517 ,\n",
       "         -0.60250854,  -0.72265625],\n",
       "       [ -2.0328064 ,  -7.702179  ,  -2.9193115 , ...,  -2.8813782 ,\n",
       "         -1.0615845 ,  -1.2196655 ],\n",
       "       [ -2.1959534 ,  -7.993042  ,  -3.278473  , ...,  -3.1216736 ,\n",
       "         -1.5180969 ,  -1.7330933 ]], dtype=float32)\n",
       "Coordinates:\n",
       "    longitude  (points) float32 15.5 10.0 16.0 16.5 12.5 ... 11.5 14.5 14.0 17.0\n",
       "    latitude   (points) float32 47.0 47.0 48.0 48.5 47.5 ... 47.0 48.5 48.0 48.0\n",
       "  * time       (time) datetime64[ns] 2015-01-01 ... 2020-04-01\n",
       "  * points     (points) int64 0 1 2 3 4 5 6 7 ... 193 194 195 196 197 198 199"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_country_temperature(country):\n",
    "    country_temperature = temperatures.sel(\n",
    "        longitude=xr.DataArray(country_points[f'{country}_longitude'], dims='points'),\n",
    "        latitude=xr.DataArray(country_points[f'{country}_latitude'], dims='points')).mean(dim='points')\n",
    "    return country_temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "temperature_at = calc_country_temperature('Austria')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f622a147350>]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temperature_at.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Who likes to have it warm?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(temperature_at.interp(time=power_demand.Austria.index),\n",
    "         power_demand.Austria, 'o')\n",
    "plt.xlabel('Temperature [°C]')\n",
    "plt.ylabel('Load [MW]');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([False, False, False, ..., False, False, False])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idcs = (power_demand.Austria.index.weekday == 2) & (power_demand.Austria.index.hour == 9)\n",
    "idcs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(temperature_at.interp(time=power_demand.Austria.index[idcs]),\n",
    "         power_demand.Austria[idcs], 'o')\n",
    "plt.ylim(6_000, 11_000)\n",
    "plt.xlabel('Temperature [°C]')\n",
    "plt.ylabel('Load [MW]')\n",
    "plt.title(\"Load vs Temperature (Wednesdays 9:00am)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "from scipy.ndimage import median_filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "power_temperature = pd.DataFrame()\n",
    "power_temperature['TotalLoadValue'] = power_demand.Austria[idcs]\n",
    "power_temperature['Temperature'] = temperature_at.interp(time=power_demand.Austria.index[idcs])\n",
    "\n",
    "power_temperature = power_temperature.sort_values('Temperature')\n",
    "\n",
    "#plt.plot(power_temperature.Temperature,\n",
    "#         power_temperature.TotalLoadValue, '-')\n",
    "\n",
    "plt.plot(power_temperature.Temperature,\n",
    "         median_filter(power_temperature.TotalLoadValue,\n",
    "                                                 mode='nearest',\n",
    "                                                 size=30),\n",
    "         '-')\n",
    "\n",
    "plt.ylim(6_000, 11_000)\n",
    "plt.xlabel('Temperature [°C]')\n",
    "plt.ylabel('Load [MW]')\n",
    "plt.title(\"Load vs Temperature (Wednesdays 9:00am)\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "A `median_filter()` will replace each value by the median of it's surroundings of size `size`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 1., 1., 1., 1., 1., 1.])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median_filter(np.array([1., 1., 1., 1., 5., 1., 1.]), size=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 1., 1., 1., 5., 5., 1.])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median_filter(np.array([1., 1., 1., 1., 5., 5., 1.]), size=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for country in COUNTRIES:\n",
    "    power_demand_country = power_demand[country]\n",
    "\n",
    "    country_temperature = calc_country_temperature(country)\n",
    "\n",
    "    # select observations from Wednesdays 9:00am\n",
    "    idcs = (power_demand_country.index.weekday == 2) & (power_demand_country.index.hour == 9)\n",
    "\n",
    "    power_temperature = pd.DataFrame()\n",
    "\n",
    "    power_temperature['TotalLoadValue'] = power_demand_country[idcs]\n",
    "    power_temperature['Temperature'] = country_temperature.interp(time=power_demand_country.index[idcs])\n",
    "    power_temperature = power_temperature.sort_values('Temperature')\n",
    "\n",
    "    normalized_load = power_temperature.TotalLoadValue / power_temperature.TotalLoadValue.mean()\n",
    "    normalized_load_filtered =  median_filter(normalized_load, mode='nearest', size=30)\n",
    "    \n",
    "    lines, = plt.plot(power_temperature.Temperature, normalized_load_filtered, '-', label=country)\n",
    "    \n",
    "    #if country == 'United Kingdom':\n",
    "    #    plt.plot(power_temperature.Temperature, normalized_load, 'o-',\n",
    "    #             linewidth=0.5, markersize=2, alpha=0.4,\n",
    "    #             color=lines.get_color(),\n",
    "    #             label=f\"{country} (unfiltered)\")\n",
    "\n",
    "\n",
    "plt.xlabel('Temperature [°C]')\n",
    "plt.ylabel('Load relative to mean load')\n",
    "plt.legend();"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
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}