OOO_widespread_longtrend.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "OOO_widespread_longtrend.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOtrFk5yQFcBheSqJ9OGAxh",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ogunjosam/ISIMIP_data/blob/main/OOO_widespread_longtrend.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Widespread rainfall\n",
        "\n",
        "In this paper, widespread precipitation (1mm, 5mm, 10mm) over West Africa will be analyzed on the long term."
      ],
      "metadata": {
        "id": "FgJkGg7DT6ss"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install xarray[complete]\n",
        "!pip install pymannkendall\n",
        "\n",
        "import pymannkendall as mk\n",
        "import glob\n",
        "import matplotlib.pyplot as plt\n",
        "import urllib.request\n",
        "import xarray as xr\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "\n",
        "\n",
        "!mkdir Data  # create a directory to store processed data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cf_7C6SkT6O_",
        "outputId": "2347c425-f264-49d0-f5f2-ce5fc57705e5"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
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            "      Successfully uninstalled distributed-1.25.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "gym 0.17.3 requires cloudpickle<1.7.0,>=1.2.0, but you have cloudpickle 2.0.0 which is incompatible.\u001b[0m\n",
            "Successfully installed Webob-1.8.7 affine-2.3.1 asciitree-0.3.3 cfgrib-0.9.10.1 click-plugins-1.1.1 cligj-0.7.2 cloudpickle-2.0.0 distributed-2.30.1 eccodes-1.4.1 fasteners-0.17.3 findlibs-0.0.2 fsspec-2022.3.0 h5netcdf-1.0.0 locket-0.2.1 nc-time-axis-1.4.0 numbagg-0.2.1 numcodecs-0.9.1 partd-1.2.0 pydap-3.2.2 rasterio-1.2.10 snuggs-1.4.7 zarr-2.11.3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/xarray/backends/cfgrib_.py:28: UserWarning: Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. Try `import cfgrib` to get the full error message\n",
            "  \"Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. \"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Download the data"
      ],
      "metadata": {
        "id": "pmv1JLT7UGxO"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OAqUvqCTTwZT",
        "outputId": "19b8816d-1f75-44cc-de7a-5d1f0ac3baf0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1901_1910.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1911_1920.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1921_1930.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1931_1940.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1941_1950.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1951_1960.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1961_1970.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1971_1980.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1981_1990.nc\n",
            "http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_1991_2000.nc\n"
          ]
        }
      ],
      "source": [
        "for yr in range(1901,2000,10):\n",
        "\n",
        "  url  = f'http://esg.pik-potsdam.de/thredds/fileServer/isimip_dataroot/isimip2a/input/clim_atm_obs/GSWP3/historical/pr/daily/v20180927/pr_gswp3_{yr}_{yr+9}.nc'\n",
        "  print(url)\n",
        "\n",
        "  savename = url.split('/')[-1]\n",
        "\n",
        "  urllib.request.urlretrieve(url, savename)\n",
        "\n",
        "  data = xr.open_dataset(savename)\n",
        "\n",
        "  ds_sel = data.isel(lon=(data.lon >= -18) & (data.lon <= 20),\n",
        "                lat=(data.lat >= 0) & (data.lat <= 15),\n",
        "                )\n",
        "  ds_sel.to_netcdf(path=\"./Data/\"+savename)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's extract the data and estimate the widesprad precipitation"
      ],
      "metadata": {
        "id": "CNLBhmIGfgD-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from netCDF4 import Dataset\n",
        "import netCDF4\n",
        "\n",
        "files = glob.glob(f'./Data/*.nc')\n",
        "\n",
        "vx = []\n",
        "for i,ii in enumerate(files):\n",
        "\n",
        "  nc_fid = Dataset(ii, 'r')\n",
        "  lat = nc_fid.variables['lat'][:].data\n",
        "  lon = nc_fid.variables['lon'][:].data\n",
        "  dtime = netCDF4.num2date(nc_fid.variables['time'][:].data,\n",
        "             nc_fid.variables['time'].units)\n",
        "  str_time = [i.strftime(\"%d-%m-%Y\") for i in dtime]\n",
        "  dd = nc_fid.variables['pr'][:].data\n",
        "  dd = dd*86400\n",
        "\n",
        "  \n",
        "  cc = dd.shape[1]*dd.shape[2]\n",
        "\n",
        "  for j, ji in enumerate(str_time):\n",
        "    xy = dd[j,:,:]\n",
        "    v1 = (np.count_nonzero(xy[:,:] >= 1)/cc)*100\n",
        "    v5 = (np.count_nonzero(xy[:,:] >= 5)/cc)*100\n",
        "    v10 = (np.count_nonzero(xy[:,:] >= 10)/cc)*100\n",
        "    vx.append([ji,np.round(v1,2),np.round(v5,2),np.round(v10,2)])\n",
        "    print([ji,np.round(v1,3),np.round(v5,3),np.round(v10,3)])\n",
        "\n",
        "\n",
        "\n",
        "vy = pd.DataFrame(vx,columns=['Date','1mm','5mm','10mm'])\n",
        "vy = vy.set_index('Date')\n",
        "vy.to_excel('widespread.xlsx')\n",
        "\n",
        "vy.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1UIWTFFZflYA",
        "outputId": "fda7d478-9d8b-457e-c98b-4d6c71408c40"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "['25-04-1937', 44.035, 24.474, 9.079]\n",
            "['26-04-1937', 36.886, 11.447, 2.325]\n",
            "['27-04-1937', 42.807, 20.175, 6.404]\n",
            "['28-04-1937', 51.711, 33.026, 12.807]\n",
            "['29-04-1937', 39.605, 16.623, 2.851]\n",
            "['30-04-1937', 51.754, 25.833, 9.825]\n",
            "['01-05-1937', 55.307, 33.202, 10.0]\n",
            "['02-05-1937', 40.395, 8.728, 2.632]\n",
            "['03-05-1937', 45.132, 21.623, 6.272]\n",
            "['04-05-1937', 50.658, 23.684, 3.07]\n",
            "['05-05-1937', 44.342, 21.754, 5.219]\n",
            "['06-05-1937', 31.711, 9.825, 0.614]\n",
            "['07-05-1937', 35.614, 9.167, 0.702]\n",
            "['08-05-1937', 44.781, 18.114, 4.386]\n",
            "['09-05-1937', 53.421, 23.772, 9.43]\n",
            "['10-05-1937', 62.193, 39.474, 20.526]\n",
            "['11-05-1937', 56.096, 34.254, 19.518]\n",
            "['12-05-1937', 61.667, 32.368, 14.781]\n",
            "['13-05-1937', 52.632, 33.246, 22.763]\n",
            "['14-05-1937', 47.105, 29.079, 19.737]\n",
            "['15-05-1937', 43.596, 25.0, 15.658]\n",
            "['16-05-1937', 52.588, 36.272, 24.868]\n",
            "['17-05-1937', 52.325, 33.421, 18.421]\n",
            "['18-05-1937', 52.807, 29.079, 12.368]\n",
            "['19-05-1937', 59.254, 30.482, 14.781]\n",
            "['20-05-1937', 59.605, 35.351, 16.053]\n",
            "['21-05-1937', 59.868, 32.456, 13.553]\n",
            "['22-05-1937', 48.904, 25.0, 15.219]\n",
            "['23-05-1937', 45.789, 26.535, 15.044]\n",
            "['24-05-1937', 61.842, 37.368, 20.833]\n",
            "['25-05-1937', 61.623, 38.333, 21.974]\n",
            "['26-05-1937', 70.789, 46.754, 27.632]\n",
            "['27-05-1937', 65.833, 37.588, 23.684]\n",
            "['28-05-1937', 68.202, 39.123, 19.211]\n",
            "['29-05-1937', 69.123, 40.044, 23.772]\n",
            "['30-05-1937', 60.219, 36.053, 21.316]\n",
            "['31-05-1937', 54.868, 28.64, 12.5]\n",
            "['01-06-1937', 48.816, 24.956, 11.623]\n",
            "['02-06-1937', 47.939, 22.237, 10.614]\n",
            "['03-06-1937', 50.702, 25.877, 11.228]\n",
            "['04-06-1937', 56.36, 30.789, 15.219]\n",
            "['05-06-1937', 59.254, 37.018, 22.105]\n",
            "['06-06-1937', 63.421, 33.772, 15.614]\n",
            "['07-06-1937', 56.272, 24.123, 8.64]\n",
            "['08-06-1937', 66.053, 32.807, 16.009]\n",
            "['09-06-1937', 66.974, 36.535, 19.079]\n",
            "['10-06-1937', 59.693, 31.053, 14.956]\n",
            "['11-06-1937', 57.807, 30.833, 15.044]\n",
            "['12-06-1937', 57.5, 30.526, 14.386]\n",
            "['13-06-1937', 61.579, 27.939, 9.167]\n",
            "['14-06-1937', 48.114, 24.737, 11.316]\n",
            "['15-06-1937', 42.851, 20.614, 7.939]\n",
            "['16-06-1937', 43.64, 18.816, 7.719]\n",
            "['17-06-1937', 43.904, 19.825, 9.693]\n",
            "['18-06-1937', 45.263, 23.816, 11.886]\n",
            "['19-06-1937', 49.298, 20.789, 6.184]\n",
            "['20-06-1937', 57.719, 34.211, 11.711]\n",
            "['21-06-1937', 62.851, 33.947, 13.202]\n",
            "['22-06-1937', 43.333, 15.877, 5.088]\n",
            "['23-06-1937', 43.772, 19.474, 5.526]\n",
            "['24-06-1937', 52.851, 25.482, 10.526]\n",
            "['25-06-1937', 56.667, 26.447, 13.026]\n",
            "['26-06-1937', 51.184, 25.439, 10.044]\n",
            "['27-06-1937', 49.298, 21.404, 8.509]\n",
            "['28-06-1937', 51.579, 22.018, 7.982]\n",
            "['29-06-1937', 44.649, 20.789, 6.974]\n",
            "['30-06-1937', 35.526, 16.009, 9.035]\n",
            "['01-07-1937', 43.772, 21.228, 10.219]\n",
            "['02-07-1937', 53.289, 33.202, 20.219]\n",
            "['03-07-1937', 50.219, 28.202, 13.947]\n",
            "['04-07-1937', 53.246, 30.044, 17.5]\n",
            "['05-07-1937', 54.868, 36.228, 25.219]\n",
            "['06-07-1937', 50.746, 33.07, 21.053]\n",
            "['07-07-1937', 55.965, 34.079, 19.298]\n",
            "['08-07-1937', 59.825, 39.43, 23.904]\n",
            "['09-07-1937', 62.281, 39.298, 23.86]\n",
            "['10-07-1937', 57.544, 42.061, 26.316]\n",
            "['11-07-1937', 58.114, 37.895, 24.079]\n",
            "['12-07-1937', 49.561, 35.746, 24.737]\n",
            "['13-07-1937', 39.123, 27.807, 19.825]\n",
            "['14-07-1937', 39.781, 21.491, 12.763]\n",
            "['15-07-1937', 40.833, 20.044, 11.93]\n",
            "['16-07-1937', 50.658, 28.377, 15.351]\n",
            "['17-07-1937', 64.43, 45.263, 29.605]\n",
            "['18-07-1937', 68.465, 45.965, 28.553]\n",
            "['19-07-1937', 62.193, 39.079, 22.193]\n",
            "['20-07-1937', 63.158, 38.509, 23.991]\n",
            "['21-07-1937', 53.816, 32.105, 15.921]\n",
            "['22-07-1937', 54.386, 32.456, 13.86]\n",
            "['23-07-1937', 48.202, 27.588, 16.535]\n",
            "['24-07-1937', 46.798, 27.5, 15.088]\n",
            "['25-07-1937', 52.544, 30.965, 14.167]\n",
            "['26-07-1937', 56.096, 32.632, 16.535]\n",
            "['27-07-1937', 38.158, 19.518, 8.289]\n",
            "['28-07-1937', 29.956, 12.368, 6.096]\n",
            "['29-07-1937', 23.114, 10.789, 4.781]\n",
            "['30-07-1937', 27.061, 13.289, 5.132]\n",
            "['31-07-1937', 32.456, 17.544, 7.588]\n",
            "['01-08-1937', 36.667, 20.439, 12.061]\n",
            "['02-08-1937', 29.079, 17.237, 9.518]\n",
            "['03-08-1937', 30.263, 13.509, 7.061]\n",
            "['04-08-1937', 36.491, 19.474, 9.693]\n",
            "['05-08-1937', 37.061, 18.684, 9.825]\n",
            "['06-08-1937', 40.439, 22.982, 14.254]\n",
            "['07-08-1937', 42.895, 25.351, 15.307]\n",
            "['08-08-1937', 41.93, 22.851, 13.947]\n",
            "['09-08-1937', 21.798, 9.167, 4.649]\n",
            "['10-08-1937', 34.123, 13.86, 5.57]\n",
            "['11-08-1937', 50.921, 29.561, 15.614]\n",
            "['12-08-1937', 45.351, 30.702, 18.421]\n",
            "['13-08-1937', 49.474, 31.447, 22.456]\n",
            "['14-08-1937', 62.325, 39.518, 26.184]\n",
            "['15-08-1937', 64.737, 45.132, 33.114]\n",
            "['16-08-1937', 53.816, 34.693, 21.36]\n",
            "['17-08-1937', 43.64, 29.956, 20.702]\n",
            "['18-08-1937', 49.868, 35.175, 23.421]\n",
            "['19-08-1937', 54.035, 33.377, 19.781]\n",
            "['20-08-1937', 59.561, 36.623, 20.965]\n",
            "['21-08-1937', 56.754, 35.132, 20.395]\n",
            "['22-08-1937', 56.842, 34.561, 16.184]\n",
            "['23-08-1937', 59.868, 40.877, 22.895]\n",
            "['24-08-1937', 56.667, 38.202, 21.184]\n",
            "['25-08-1937', 63.07, 36.886, 21.798]\n",
            "['26-08-1937', 67.5, 38.904, 20.219]\n",
            "['27-08-1937', 68.289, 38.509, 21.842]\n",
            "['28-08-1937', 67.412, 43.553, 21.184]\n",
            "['29-08-1937', 64.167, 41.842, 26.009]\n",
            "['30-08-1937', 67.018, 44.43, 29.474]\n",
            "['31-08-1937', 70.395, 50.877, 35.921]\n",
            "['01-09-1937', 61.447, 38.684, 24.123]\n",
            "['02-09-1937', 51.579, 38.421, 25.307]\n",
            "['03-09-1937', 49.254, 33.772, 21.667]\n",
            "['04-09-1937', 55.088, 29.868, 14.649]\n",
            "['05-09-1937', 62.544, 39.561, 22.851]\n",
            "['06-09-1937', 66.36, 38.64, 20.789]\n",
            "['07-09-1937', 64.079, 36.009, 19.079]\n",
            "['08-09-1937', 65.263, 37.5, 17.588]\n",
            "['09-09-1937', 62.018, 39.605, 21.009]\n",
            "['10-09-1937', 62.939, 42.237, 22.105]\n",
            "['11-09-1937', 58.026, 38.86, 19.956]\n",
            "['12-09-1937', 52.237, 29.43, 15.439]\n",
            "['13-09-1937', 53.596, 29.43, 13.64]\n",
            "['14-09-1937', 59.035, 32.061, 16.579]\n",
            "['15-09-1937', 59.956, 33.684, 15.658]\n",
            "['16-09-1937', 64.254, 35.57, 13.64]\n",
            "['17-09-1937', 65.877, 43.509, 21.36]\n",
            "['18-09-1937', 57.456, 34.561, 15.526]\n",
            "['19-09-1937', 50.175, 27.193, 11.491]\n",
            "['20-09-1937', 59.956, 35.877, 16.491]\n",
            "['21-09-1937', 67.149, 44.474, 25.175]\n",
            "['22-09-1937', 63.86, 36.886, 16.009]\n",
            "['23-09-1937', 47.5, 24.035, 10.526]\n",
            "['24-09-1937', 53.202, 30.263, 17.763]\n",
            "['25-09-1937', 55.965, 34.386, 17.412]\n",
            "['26-09-1937', 58.158, 32.412, 15.044]\n",
            "['27-09-1937', 60.658, 36.754, 20.921]\n",
            "['28-09-1937', 62.719, 35.833, 19.474]\n",
            "['29-09-1937', 63.64, 36.667, 21.14]\n",
            "['30-09-1937', 58.772, 33.114, 19.868]\n",
            "['01-10-1937', 58.158, 34.693, 19.123]\n",
            "['02-10-1937', 60.351, 40.088, 25.132]\n",
            "['03-10-1937', 56.272, 30.921, 14.298]\n",
            "['04-10-1937', 56.316, 32.456, 16.667]\n",
            "['05-10-1937', 68.026, 39.825, 22.851]\n",
            "['06-10-1937', 70.0, 44.912, 25.57]\n",
            "['07-10-1937', 60.263, 39.561, 21.93]\n",
            "['08-10-1937', 52.105, 28.816, 14.781]\n",
            "['09-10-1937', 48.596, 29.868, 14.43]\n",
            "['10-10-1937', 53.289, 28.114, 15.088]\n",
            "['11-10-1937', 51.447, 28.728, 11.974]\n",
            "['12-10-1937', 53.64, 30.658, 16.272]\n",
            "['13-10-1937', 59.386, 35.877, 16.096]\n",
            "['14-10-1937', 49.737, 27.807, 13.377]\n",
            "['15-10-1937', 53.421, 31.974, 15.044]\n",
            "['16-10-1937', 51.053, 24.386, 12.632]\n",
            "['17-10-1937', 47.281, 23.509, 10.965]\n",
            "['18-10-1937', 52.807, 29.298, 11.754]\n",
            "['19-10-1937', 58.158, 38.509, 20.57]\n",
            "['20-10-1937', 57.544, 38.991, 20.0]\n",
            "['21-10-1937', 55.921, 31.053, 13.246]\n",
            "['22-10-1937', 55.965, 29.737, 15.307]\n",
            "['23-10-1937', 51.14, 31.009, 15.219]\n",
            "['24-10-1937', 46.535, 24.474, 11.754]\n",
            "['25-10-1937', 48.509, 28.114, 10.526]\n",
            "['26-10-1937', 48.86, 26.009, 11.535]\n",
            "['27-10-1937', 48.421, 23.904, 6.754]\n",
            "['28-10-1937', 48.553, 23.991, 10.482]\n",
            "['29-10-1937', 51.623, 27.895, 10.044]\n",
            "['30-10-1937', 38.202, 15.219, 6.228]\n",
            "['31-10-1937', 44.123, 18.202, 4.781]\n",
            "['01-11-1937', 43.377, 23.114, 11.535]\n",
            "['02-11-1937', 47.105, 23.509, 10.658]\n",
            "['03-11-1937', 36.535, 15.877, 3.947]\n",
            "['04-11-1937', 40.746, 20.263, 7.018]\n",
            "['05-11-1937', 50.702, 29.518, 15.351]\n",
            "['06-11-1937', 36.535, 15.526, 4.868]\n",
            "['07-11-1937', 33.246, 13.333, 4.649]\n",
            "['08-11-1937', 19.693, 7.939, 3.114]\n",
            "['09-11-1937', 26.447, 9.956, 3.904]\n",
            "['10-11-1937', 35.088, 18.64, 10.0]\n",
            "['11-11-1937', 35.132, 20.833, 9.518]\n",
            "['12-11-1937', 26.009, 11.535, 3.377]\n",
            "['13-11-1937', 30.702, 15.833, 6.14]\n",
            "['14-11-1937', 38.202, 19.123, 4.649]\n",
            "['15-11-1937', 33.991, 15.482, 3.246]\n",
            "['16-11-1937', 30.263, 9.737, 2.061]\n",
            "['17-11-1937', 36.886, 15.482, 4.123]\n",
            "['18-11-1937', 40.132, 21.14, 8.421]\n",
            "['19-11-1937', 36.316, 21.053, 6.798]\n",
            "['20-11-1937', 35.175, 16.447, 5.0]\n",
            "['21-11-1937', 34.781, 18.07, 4.649]\n",
            "['22-11-1937', 37.105, 20.57, 6.404]\n",
            "['23-11-1937', 37.763, 23.947, 9.605]\n",
            "['24-11-1937', 34.737, 21.053, 5.877]\n",
            "['25-11-1937', 41.009, 18.553, 6.579]\n",
            "['26-11-1937', 42.632, 23.114, 6.404]\n",
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            "['29-03-1993', 45.0, 21.579, 2.851]\n",
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            "['31-08-1996', 45.0, 31.798, 21.798]\n",
            "['01-09-1996', 53.904, 31.754, 18.377]\n",
            "['02-09-1996', 49.386, 25.921, 13.377]\n",
            "['03-09-1996', 56.053, 29.781, 13.377]\n",
            "['04-09-1996', 60.044, 27.982, 14.298]\n",
            "['05-09-1996', 63.026, 39.254, 22.807]\n",
            "['06-09-1996', 68.026, 46.491, 23.816]\n",
            "['07-09-1996', 62.368, 39.342, 18.465]\n",
            "['08-09-1996', 59.474, 32.281, 15.175]\n",
            "['09-09-1996', 62.851, 39.737, 19.781]\n",
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            "['26-09-1996', 64.079, 38.991, 20.526]\n",
            "['27-09-1996', 60.044, 35.0, 15.877]\n",
            "['28-09-1996', 57.632, 33.728, 18.596]\n",
            "['29-09-1996', 61.974, 35.263, 16.798]\n",
            "['30-09-1996', 63.026, 31.184, 13.289]\n",
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            "['02-10-1996', 51.053, 25.57, 10.132]\n",
            "['03-10-1996', 53.289, 30.482, 12.939]\n",
            "['04-10-1996', 63.026, 30.746, 13.289]\n",
            "['05-10-1996', 61.579, 32.544, 14.43]\n",
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            "['30-10-1996', 41.491, 14.956, 6.14]\n",
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            "['01-11-1996', 38.991, 25.614, 12.807]\n",
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            "['30-11-1996', 24.781, 11.272, 6.404]\n",
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            "['26-12-1996', 26.886, 8.684, 3.114]\n",
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            "['30-12-1996', 25.746, 6.404, 1.184]\n",
            "['31-12-1996', 31.36, 13.202, 3.816]\n",
            "['01-01-1997', 26.272, 7.193, 2.237]\n",
            "['02-01-1997', 29.342, 6.491, 2.018]\n",
            "['03-01-1997', 23.421, 3.728, 1.623]\n",
            "['04-01-1997', 27.5, 6.096, 1.272]\n",
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            "['06-01-1997', 27.368, 6.711, 1.886]\n",
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            "['29-01-1997', 17.939, 2.281, 0.57]\n",
            "['30-01-1997', 25.263, 4.123, 0.307]\n",
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            "['02-02-1997', 21.36, 6.711, 2.982]\n",
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            "['27-02-1997', 27.237, 7.149, 1.623]\n",
            "['28-02-1997', 24.167, 6.667, 0.57]\n",
            "['01-03-1997', 29.386, 6.711, 0.746]\n",
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            "['03-03-1997', 36.184, 13.421, 4.737]\n",
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            "['05-03-1997', 33.289, 9.693, 1.096]\n",
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            "['09-03-1997', 35.921, 8.64, 0.57]\n",
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            "['27-03-1997', 46.053, 17.368, 4.781]\n",
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            "['29-03-1997', 45.307, 23.421, 9.561]\n",
            "['30-03-1997', 36.096, 11.009, 3.904]\n",
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            "['01-04-1997', 47.675, 27.281, 10.921]\n",
            "['02-04-1997', 51.886, 30.132, 11.842]\n",
            "['03-04-1997', 48.64, 23.947, 7.368]\n",
            "['04-04-1997', 49.474, 21.754, 7.018]\n",
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            "['08-04-1997', 39.956, 15.439, 6.535]\n",
            "['09-04-1997', 32.5, 10.307, 3.465]\n",
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            "['14-04-1997', 43.904, 21.36, 4.956]\n",
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            "['17-04-1997', 59.649, 42.149, 27.895]\n",
            "['18-04-1997', 52.237, 31.009, 19.518]\n",
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            "['21-04-1997', 49.912, 25.658, 6.754]\n",
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            "['29-04-1997', 65.526, 41.886, 23.728]\n",
            "['30-04-1997', 66.711, 46.096, 25.789]\n",
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            "['03-05-1997', 62.588, 39.298, 21.009]\n",
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            "['27-05-1997', 73.158, 43.553, 22.325]\n",
            "['28-05-1997', 65.439, 37.061, 15.088]\n",
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            "['30-05-1997', 59.342, 37.368, 20.263]\n",
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            "['02-06-1997', 54.386, 32.895, 18.553]\n",
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            "['28-06-1997', 52.149, 27.544, 13.114]\n",
            "['29-06-1997', 59.123, 29.079, 12.544]\n",
            "['30-06-1997', 65.395, 44.474, 26.974]\n",
            "['01-07-1997', 62.018, 35.526, 22.061]\n",
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            "['17-07-1997', 38.421, 20.439, 12.895]\n",
            "['18-07-1997', 45.877, 25.921, 14.561]\n",
            "['19-07-1997', 53.772, 27.061, 15.614]\n",
            "['20-07-1997', 62.5, 38.553, 22.895]\n",
            "['21-07-1997', 65.746, 37.588, 23.684]\n",
            "['22-07-1997', 44.211, 24.737, 15.482]\n",
            "['23-07-1997', 48.553, 23.772, 12.237]\n",
            "['24-07-1997', 51.974, 27.675, 11.36]\n",
            "['25-07-1997', 49.649, 23.465, 10.614]\n",
            "['26-07-1997', 51.316, 26.842, 15.307]\n",
            "['27-07-1997', 52.456, 28.728, 15.088]\n",
            "['28-07-1997', 47.807, 25.175, 11.667]\n",
            "['29-07-1997', 46.272, 28.991, 15.614]\n",
            "['30-07-1997', 49.868, 30.658, 18.421]\n",
            "['31-07-1997', 51.096, 29.737, 19.035]\n",
            "['01-08-1997', 37.281, 18.377, 11.36]\n",
            "['02-08-1997', 52.193, 27.939, 13.333]\n",
            "['03-08-1997', 47.5, 23.772, 12.632]\n",
            "['04-08-1997', 55.219, 33.333, 16.491]\n",
            "['05-08-1997', 50.526, 22.719, 11.053]\n",
            "['06-08-1997', 42.544, 18.026, 10.307]\n",
            "['07-08-1997', 45.614, 24.825, 11.798]\n",
            "['08-08-1997', 46.36, 24.43, 13.026]\n",
            "['09-08-1997', 51.14, 29.781, 13.421]\n",
            "['10-08-1997', 43.509, 24.912, 12.193]\n",
            "['11-08-1997', 46.36, 25.789, 13.64]\n",
            "['12-08-1997', 48.86, 30.044, 15.789]\n",
            "['13-08-1997', 51.447, 29.518, 17.895]\n",
            "['14-08-1997', 47.018, 28.421, 16.096]\n",
            "['15-08-1997', 41.447, 20.0, 10.658]\n",
            "['16-08-1997', 41.886, 28.246, 18.553]\n",
            "['17-08-1997', 45.307, 24.342, 9.561]\n",
            "['18-08-1997', 33.246, 19.649, 11.491]\n",
            "['19-08-1997', 44.518, 26.711, 15.132]\n",
            "['20-08-1997', 48.728, 30.614, 19.912]\n",
            "['21-08-1997', 46.93, 27.149, 16.009]\n",
            "['22-08-1997', 54.825, 31.623, 16.667]\n",
            "['23-08-1997', 56.053, 34.868, 21.272]\n",
            "['24-08-1997', 51.974, 33.904, 20.0]\n",
            "['25-08-1997', 59.737, 37.193, 20.263]\n",
            "['26-08-1997', 57.675, 38.64, 24.825]\n",
            "['27-08-1997', 57.982, 38.026, 19.079]\n",
            "['28-08-1997', 66.491, 35.307, 16.491]\n",
            "['29-08-1997', 69.298, 41.36, 22.588]\n",
            "['30-08-1997', 65.439, 38.86, 20.921]\n",
            "['31-08-1997', 64.825, 41.36, 22.325]\n",
            "['01-09-1997', 64.386, 39.035, 21.667]\n",
            "['02-09-1997', 61.754, 39.956, 20.132]\n",
            "['03-09-1997', 48.728, 25.395, 11.886]\n",
            "['04-09-1997', 44.386, 19.912, 7.588]\n",
            "['05-09-1997', 52.237, 26.974, 12.675]\n",
            "['06-09-1997', 57.895, 38.421, 22.939]\n",
            "['07-09-1997', 56.886, 37.456, 23.246]\n",
            "['08-09-1997', 56.93, 35.307, 17.193]\n",
            "['09-09-1997', 55.658, 37.193, 21.316]\n",
            "['10-09-1997', 63.465, 43.202, 24.868]\n",
            "['11-09-1997', 64.298, 44.518, 20.746]\n",
            "['12-09-1997', 59.035, 35.658, 16.316]\n",
            "['13-09-1997', 57.675, 35.658, 15.877]\n",
            "['14-09-1997', 44.474, 22.368, 8.289]\n",
            "['15-09-1997', 58.465, 33.158, 16.404]\n",
            "['16-09-1997', 60.921, 41.272, 23.333]\n",
            "['17-09-1997', 57.105, 33.947, 15.175]\n",
            "['18-09-1997', 56.754, 29.298, 9.474]\n",
            "['19-09-1997', 52.281, 22.281, 6.316]\n",
            "['20-09-1997', 42.149, 18.947, 5.57]\n",
            "['21-09-1997', 45.921, 18.553, 5.57]\n",
            "['22-09-1997', 56.667, 28.509, 9.123]\n",
            "['23-09-1997', 60.395, 31.404, 11.491]\n",
            "['24-09-1997', 55.175, 27.763, 10.658]\n",
            "['25-09-1997', 56.491, 28.333, 11.36]\n",
            "['26-09-1997', 48.509, 16.535, 7.851]\n",
            "['27-09-1997', 64.868, 39.825, 16.184]\n",
            "['28-09-1997', 65.526, 32.018, 14.825]\n",
            "['29-09-1997', 67.105, 38.026, 17.368]\n",
            "['30-09-1997', 65.57, 36.711, 14.868]\n",
            "['01-10-1997', 55.263, 29.825, 15.614]\n",
            "['02-10-1997', 60.877, 27.895, 10.175]\n",
            "['03-10-1997', 69.649, 39.693, 16.886]\n",
            "['04-10-1997', 53.158, 28.947, 13.553]\n",
            "['05-10-1997', 50.0, 23.07, 11.798]\n",
            "['06-10-1997', 49.518, 14.693, 6.667]\n",
            "['07-10-1997', 46.886, 13.86, 7.412]\n",
            "['08-10-1997', 51.096, 25.439, 12.982]\n",
            "['09-10-1997', 61.228, 34.43, 17.061]\n",
            "['10-10-1997', 63.246, 34.868, 18.684]\n",
            "['11-10-1997', 58.377, 28.772, 13.816]\n",
            "['12-10-1997', 55.263, 20.789, 10.263]\n",
            "['13-10-1997', 47.895, 17.149, 8.509]\n",
            "['14-10-1997', 58.684, 21.272, 7.719]\n",
            "['15-10-1997', 52.018, 21.009, 9.781]\n",
            "['16-10-1997', 55.965, 21.36, 8.553]\n",
            "['17-10-1997', 41.36, 16.404, 5.833]\n",
            "['18-10-1997', 63.64, 30.702, 10.833]\n",
            "['19-10-1997', 65.482, 27.588, 8.596]\n",
            "['20-10-1997', 67.675, 32.632, 15.526]\n",
            "['21-10-1997', 57.456, 25.877, 12.368]\n",
            "['22-10-1997', 60.789, 31.974, 12.939]\n",
            "['23-10-1997', 55.219, 23.202, 8.289]\n",
            "['24-10-1997', 57.149, 24.211, 9.079]\n",
            "['25-10-1997', 57.149, 19.649, 4.693]\n",
            "['26-10-1997', 58.86, 26.711, 10.702]\n",
            "['27-10-1997', 54.649, 21.93, 7.851]\n",
            "['28-10-1997', 48.553, 22.456, 8.816]\n",
            "['29-10-1997', 54.956, 27.632, 13.947]\n",
            "['30-10-1997', 56.886, 34.825, 20.044]\n",
            "['31-10-1997', 54.035, 35.702, 22.368]\n",
            "['01-11-1997', 48.772, 25.044, 12.456]\n",
            "['02-11-1997', 41.316, 22.632, 8.114]\n",
            "['03-11-1997', 39.167, 15.263, 6.404]\n",
            "['04-11-1997', 35.877, 14.956, 6.93]\n",
            "['05-11-1997', 41.535, 13.026, 2.675]\n",
            "['06-11-1997', 50.965, 28.596, 12.895]\n",
            "['07-11-1997', 51.886, 30.833, 18.509]\n",
            "['08-11-1997', 39.781, 21.623, 9.211]\n",
            "['09-11-1997', 40.614, 19.167, 8.421]\n",
            "['10-11-1997', 44.956, 27.5, 15.789]\n",
            "['11-11-1997', 38.728, 17.237, 8.816]\n",
            "['12-11-1997', 41.974, 17.544, 6.667]\n",
            "['13-11-1997', 42.675, 21.316, 8.509]\n",
            "['14-11-1997', 44.079, 25.658, 13.377]\n",
            "['15-11-1997', 38.289, 17.982, 8.596]\n",
            "['16-11-1997', 39.868, 16.93, 6.36]\n",
            "['17-11-1997', 41.623, 23.596, 9.342]\n",
            "['18-11-1997', 44.561, 26.93, 11.93]\n",
            "['19-11-1997', 46.579, 26.667, 15.746]\n",
            "['20-11-1997', 32.018, 14.956, 7.719]\n",
            "['21-11-1997', 36.009, 9.649, 1.096]\n",
            "['22-11-1997', 34.298, 14.254, 1.886]\n",
            "['23-11-1997', 30.175, 15.395, 7.632]\n",
            "['24-11-1997', 24.211, 6.623, 2.675]\n",
            "['25-11-1997', 30.921, 10.307, 2.061]\n",
            "['26-11-1997', 38.333, 11.974, 3.596]\n",
            "['27-11-1997', 38.421, 18.158, 3.07]\n",
            "['28-11-1997', 40.482, 20.658, 6.228]\n",
            "['29-11-1997', 35.263, 11.886, 3.991]\n",
            "['30-11-1997', 29.825, 6.096, 0.965]\n",
            "['01-12-1997', 20.351, 3.114, 0.439]\n",
            "['02-12-1997', 17.719, 2.149, 0.132]\n",
            "['03-12-1997', 24.561, 4.518, 1.14]\n",
            "['04-12-1997', 24.825, 6.535, 0.658]\n",
            "['05-12-1997', 35.395, 6.053, 0.526]\n",
            "['06-12-1997', 18.377, 1.316, 0.132]\n",
            "['07-12-1997', 35.395, 8.158, 0.175]\n",
            "['08-12-1997', 36.491, 9.386, 0.877]\n",
            "['09-12-1997', 35.263, 11.886, 4.079]\n",
            "['10-12-1997', 36.623, 11.886, 1.535]\n",
            "['11-12-1997', 34.781, 13.86, 3.684]\n",
            "['12-12-1997', 42.061, 25.57, 12.193]\n",
            "['13-12-1997', 25.965, 7.632, 1.535]\n",
            "['14-12-1997', 22.193, 6.184, 0.833]\n",
            "['15-12-1997', 26.272, 12.588, 2.5]\n",
            "['16-12-1997', 18.596, 6.053, 0.965]\n",
            "['17-12-1997', 18.86, 3.728, 0.395]\n",
            "['18-12-1997', 17.456, 2.851, 0.307]\n",
            "['19-12-1997', 12.675, 2.851, 1.579]\n",
            "['20-12-1997', 16.184, 3.684, 0.746]\n",
            "['21-12-1997', 24.693, 4.561, 0.482]\n",
            "['22-12-1997', 30.57, 8.465, 1.579]\n",
            "['23-12-1997', 33.377, 11.974, 2.675]\n",
            "['24-12-1997', 32.456, 9.956, 2.149]\n",
            "['25-12-1997', 29.912, 7.632, 2.018]\n",
            "['26-12-1997', 33.421, 8.07, 1.316]\n",
            "['27-12-1997', 27.237, 7.544, 1.93]\n",
            "['28-12-1997', 17.105, 7.018, 2.281]\n",
            "['29-12-1997', 9.474, 2.018, 0.526]\n",
            "['30-12-1997', 19.298, 5.877, 1.667]\n",
            "['31-12-1997', 12.939, 2.456, 0.307]\n",
            "['01-01-1998', 14.254, 3.553, 0.965]\n",
            "['02-01-1998', 25.088, 8.114, 0.833]\n",
            "['03-01-1998', 20.789, 4.825, 0.307]\n",
            "['04-01-1998', 13.553, 1.754, 0.0]\n",
            "['05-01-1998', 13.596, 1.842, 0.789]\n",
            "['06-01-1998', 11.404, 2.325, 0.614]\n",
            "['07-01-1998', 7.939, 0.833, 0.044]\n",
            "['08-01-1998', 16.228, 5.658, 0.965]\n",
            "['09-01-1998', 17.325, 4.649, 0.132]\n",
            "['10-01-1998', 15.658, 2.982, 0.175]\n",
            "['11-01-1998', 16.404, 5.307, 1.535]\n",
            "['12-01-1998', 17.588, 3.509, 0.658]\n",
            "['13-01-1998', 23.772, 4.298, 0.877]\n",
            "['14-01-1998', 12.237, 2.412, 0.132]\n",
            "['15-01-1998', 8.728, 0.965, 0.044]\n",
            "['16-01-1998', 14.035, 2.325, 0.132]\n",
            "['17-01-1998', 13.114, 2.719, 0.307]\n",
            "['18-01-1998', 16.36, 6.053, 0.746]\n",
            "['19-01-1998', 23.553, 8.289, 0.175]\n",
            "['20-01-1998', 10.57, 1.623, 0.088]\n",
            "['21-01-1998', 6.974, 0.702, 0.0]\n",
            "['22-01-1998', 13.86, 4.474, 0.702]\n",
            "['23-01-1998', 9.298, 1.228, 0.088]\n",
            "['24-01-1998', 11.711, 2.193, 0.132]\n",
            "['25-01-1998', 22.412, 4.956, 1.711]\n",
            "['26-01-1998', 21.447, 6.974, 2.5]\n",
            "['27-01-1998', 30.0, 9.167, 1.009]\n",
            "['28-01-1998', 33.904, 13.904, 1.535]\n",
            "['29-01-1998', 31.14, 14.605, 1.623]\n",
            "['30-01-1998', 36.623, 13.026, 0.57]\n",
            "['31-01-1998', 28.728, 7.719, 1.316]\n",
            "['01-02-1998', 10.658, 1.184, 0.263]\n",
            "['02-02-1998', 16.667, 3.947, 1.096]\n",
            "['03-02-1998', 23.246, 4.518, 0.614]\n",
            "['04-02-1998', 24.868, 5.219, 0.877]\n",
            "['05-02-1998', 24.693, 7.763, 2.982]\n",
            "['06-02-1998', 27.325, 10.658, 3.421]\n",
            "['07-02-1998', 27.982, 10.57, 3.904]\n",
            "['08-02-1998', 27.763, 8.158, 1.754]\n",
            "['09-02-1998', 29.43, 8.158, 1.316]\n",
            "['10-02-1998', 39.649, 21.579, 5.877]\n",
            "['11-02-1998', 39.386, 18.377, 4.167]\n",
            "['12-02-1998', 38.333, 11.93, 2.895]\n",
            "['13-02-1998', 40.044, 23.509, 7.632]\n",
            "['14-02-1998', 30.789, 8.728, 0.614]\n",
            "['15-02-1998', 30.482, 7.939, 1.096]\n",
            "['16-02-1998', 25.526, 6.842, 2.412]\n",
            "['17-02-1998', 18.86, 1.623, 0.482]\n",
            "['18-02-1998', 11.14, 1.842, 0.614]\n",
            "['19-02-1998', 19.912, 3.904, 0.789]\n",
            "['20-02-1998', 27.588, 5.965, 0.877]\n",
            "['21-02-1998', 21.579, 3.684, 0.132]\n",
            "['22-02-1998', 16.754, 2.632, 0.263]\n",
            "['23-02-1998', 26.579, 8.553, 0.482]\n",
            "['24-02-1998', 25.044, 8.158, 1.272]\n",
            "['25-02-1998', 30.0, 6.009, 2.193]\n",
            "['26-02-1998', 29.781, 4.035, 0.439]\n",
            "['27-02-1998', 18.202, 2.5, 0.0]\n",
            "['28-02-1998', 25.965, 3.596, 0.395]\n",
            "['01-03-1998', 28.07, 8.158, 0.482]\n",
            "['02-03-1998', 31.404, 10.175, 2.018]\n",
            "['03-03-1998', 34.649, 10.526, 2.105]\n",
            "['04-03-1998', 36.096, 15.789, 2.061]\n",
            "['05-03-1998', 29.211, 9.035, 1.009]\n",
            "['06-03-1998', 29.298, 12.544, 2.061]\n",
            "['07-03-1998', 30.307, 12.939, 2.193]\n",
            "['08-03-1998', 20.219, 4.035, 1.053]\n",
            "['09-03-1998', 19.474, 6.667, 1.798]\n",
            "['10-03-1998', 16.447, 4.825, 1.886]\n",
            "['11-03-1998', 19.254, 4.868, 1.096]\n",
            "['12-03-1998', 22.237, 4.605, 1.009]\n",
            "['13-03-1998', 31.798, 6.316, 0.219]\n",
            "['14-03-1998', 41.491, 17.325, 4.737]\n",
            "['15-03-1998', 47.061, 29.474, 11.798]\n",
            "['16-03-1998', 46.228, 29.561, 12.5]\n",
            "['17-03-1998', 45.57, 25.439, 6.974]\n",
            "['18-03-1998', 27.149, 5.658, 1.228]\n",
            "['19-03-1998', 23.246, 6.009, 1.754]\n",
            "['20-03-1998', 28.026, 6.053, 1.36]\n",
            "['21-03-1998', 28.86, 9.518, 1.535]\n",
            "['22-03-1998', 30.614, 4.43, 0.482]\n",
            "['23-03-1998', 28.202, 6.228, 1.491]\n",
            "['24-03-1998', 42.456, 16.535, 4.035]\n",
            "['25-03-1998', 40.833, 21.36, 4.474]\n",
            "['26-03-1998', 36.447, 17.632, 4.825]\n",
            "['27-03-1998', 35.395, 16.184, 4.254]\n",
            "['28-03-1998', 33.596, 7.412, 1.053]\n",
            "['29-03-1998', 22.632, 2.544, 0.175]\n",
            "['30-03-1998', 31.14, 8.86, 1.579]\n",
            "['31-03-1998', 25.877, 6.579, 1.842]\n",
            "['01-04-1998', 27.807, 8.465, 2.193]\n",
            "['02-04-1998', 32.763, 13.64, 3.333]\n",
            "['03-04-1998', 39.605, 16.491, 2.982]\n",
            "['04-04-1998', 30.219, 5.351, 0.044]\n",
            "['05-04-1998', 29.474, 6.93, 0.702]\n",
            "['06-04-1998', 31.93, 7.851, 2.281]\n",
            "['07-04-1998', 36.798, 17.763, 5.175]\n",
            "['08-04-1998', 32.982, 11.14, 2.105]\n",
            "['09-04-1998', 31.579, 12.982, 4.254]\n",
            "['10-04-1998', 32.5, 14.956, 2.412]\n",
            "['11-04-1998', 35.395, 18.465, 4.079]\n",
            "['12-04-1998', 42.281, 23.377, 6.798]\n",
            "['13-04-1998', 50.395, 28.509, 9.254]\n",
            "['14-04-1998', 40.439, 14.167, 1.184]\n",
            "['15-04-1998', 43.333, 17.544, 1.93]\n",
            "['16-04-1998', 37.456, 10.088, 4.167]\n",
            "['17-04-1998', 46.886, 17.149, 3.728]\n",
            "['18-04-1998', 54.254, 32.193, 12.763]\n",
            "['19-04-1998', 55.351, 34.868, 20.088]\n",
            "['20-04-1998', 53.465, 32.368, 18.596]\n",
            "['21-04-1998', 53.991, 33.246, 19.342]\n",
            "['22-04-1998', 52.5, 30.482, 18.158]\n",
            "['23-04-1998', 52.851, 28.377, 13.904]\n",
            "['24-04-1998', 48.86, 28.596, 10.263]\n",
            "['25-04-1998', 40.877, 14.254, 4.342]\n",
            "['26-04-1998', 38.333, 15.57, 5.395]\n",
            "['27-04-1998', 55.57, 30.57, 7.675]\n",
            "['28-04-1998', 63.377, 45.351, 18.553]\n",
            "['29-04-1998', 62.807, 45.395, 24.693]\n",
            "['30-04-1998', 66.404, 53.158, 29.693]\n",
            "['01-05-1998', 50.746, 31.974, 15.921]\n",
            "['02-05-1998', 49.474, 25.351, 8.377]\n",
            "['03-05-1998', 52.807, 19.386, 6.184]\n",
            "['04-05-1998', 52.193, 25.0, 10.088]\n",
            "['05-05-1998', 51.14, 15.702, 3.728]\n",
            "['06-05-1998', 51.623, 18.114, 4.123]\n",
            "['07-05-1998', 44.649, 14.693, 3.289]\n",
            "['08-05-1998', 51.184, 26.667, 6.009]\n",
            "['09-05-1998', 49.956, 25.614, 9.167]\n",
            "['10-05-1998', 55.088, 31.272, 14.649]\n",
            "['11-05-1998', 56.272, 27.149, 6.535]\n",
            "['12-05-1998', 51.798, 19.43, 5.658]\n",
            "['13-05-1998', 32.675, 12.675, 3.684]\n",
            "['14-05-1998', 35.746, 11.053, 3.596]\n",
            "['15-05-1998', 50.789, 25.175, 9.561]\n",
            "['16-05-1998', 52.675, 25.614, 6.711]\n",
            "['17-05-1998', 61.798, 37.5, 17.193]\n",
            "['18-05-1998', 66.93, 40.833, 23.202]\n",
            "['19-05-1998', 61.579, 35.439, 14.518]\n",
            "['20-05-1998', 63.816, 35.044, 18.377]\n",
            "['21-05-1998', 67.5, 39.167, 14.035]\n",
            "['22-05-1998', 66.754, 41.228, 15.482]\n",
            "['23-05-1998', 70.0, 41.053, 15.044]\n",
            "['24-05-1998', 68.64, 36.974, 15.0]\n",
            "['25-05-1998', 66.886, 26.798, 9.737]\n",
            "['26-05-1998', 54.737, 23.07, 6.053]\n",
            "['27-05-1998', 59.298, 31.447, 13.026]\n",
            "['28-05-1998', 69.342, 43.64, 24.298]\n",
            "['29-05-1998', 66.14, 47.018, 25.263]\n",
            "['30-05-1998', 60.746, 39.518, 22.632]\n",
            "['31-05-1998', 59.605, 38.772, 20.482]\n",
            "['01-06-1998', 56.404, 30.921, 13.553]\n",
            "['02-06-1998', 57.105, 33.816, 17.675]\n",
            "['03-06-1998', 61.228, 41.711, 23.202]\n",
            "['04-06-1998', 62.895, 32.5, 14.254]\n",
            "['05-06-1998', 64.035, 30.789, 12.237]\n",
            "['06-06-1998', 65.789, 36.93, 14.43]\n",
            "['07-06-1998', 63.07, 39.781, 17.719]\n",
            "['08-06-1998', 61.053, 34.825, 16.623]\n",
            "['09-06-1998', 48.246, 21.579, 11.096]\n",
            "['10-06-1998', 44.912, 17.939, 7.061]\n",
            "['11-06-1998', 60.0, 22.237, 3.07]\n",
            "['12-06-1998', 62.237, 25.219, 5.833]\n",
            "['13-06-1998', 77.149, 42.675, 16.491]\n",
            "['14-06-1998', 74.035, 42.675, 20.877]\n",
            "['15-06-1998', 67.544, 32.544, 14.079]\n",
            "['16-06-1998', 47.325, 13.07, 6.711]\n",
            "['17-06-1998', 51.272, 18.289, 6.754]\n",
            "['18-06-1998', 67.193, 33.026, 10.658]\n",
            "['19-06-1998', 60.702, 23.64, 6.272]\n",
            "['20-06-1998', 57.412, 33.026, 19.649]\n",
            "['21-06-1998', 57.281, 35.0, 19.518]\n",
            "['22-06-1998', 49.649, 27.149, 14.737]\n",
            "['23-06-1998', 55.175, 22.149, 9.605]\n",
            "['24-06-1998', 53.289, 23.421, 9.43]\n",
            "['25-06-1998', 52.588, 19.167, 7.105]\n",
            "['26-06-1998', 58.64, 33.026, 13.596]\n",
            "['27-06-1998', 65.219, 37.368, 17.851]\n",
            "['28-06-1998', 66.491, 41.667, 20.833]\n",
            "['29-06-1998', 61.316, 34.605, 17.281]\n",
            "['30-06-1998', 56.754, 23.158, 10.658]\n",
            "['01-07-1998', 64.342, 36.754, 20.702]\n",
            "['02-07-1998', 66.974, 39.518, 23.991]\n",
            "['03-07-1998', 64.167, 34.342, 20.482]\n",
            "['04-07-1998', 53.86, 27.149, 16.93]\n",
            "['05-07-1998', 61.14, 31.798, 15.395]\n",
            "['06-07-1998', 57.5, 29.254, 14.518]\n",
            "['07-07-1998', 57.149, 31.228, 16.184]\n",
            "['08-07-1998', 61.754, 31.184, 17.807]\n",
            "['09-07-1998', 65.088, 34.605, 19.474]\n",
            "['10-07-1998', 61.842, 33.991, 18.377]\n",
            "['11-07-1998', 62.544, 41.272, 23.596]\n",
            "['12-07-1998', 54.474, 34.605, 20.57]\n",
            "['13-07-1998', 46.272, 21.974, 13.421]\n",
            "['14-07-1998', 54.298, 29.561, 17.5]\n",
            "['15-07-1998', 53.64, 27.763, 15.0]\n",
            "['16-07-1998', 40.307, 25.702, 14.079]\n",
            "['17-07-1998', 42.281, 18.684, 9.518]\n",
            "['18-07-1998', 41.798, 18.377, 9.605]\n",
            "['19-07-1998', 53.246, 29.167, 16.184]\n",
            "['20-07-1998', 46.711, 25.351, 13.596]\n",
            "['21-07-1998', 49.254, 26.272, 12.719]\n",
            "['22-07-1998', 53.553, 30.351, 15.044]\n",
            "['23-07-1998', 57.719, 36.184, 20.833]\n",
            "['24-07-1998', 60.877, 32.368, 17.412]\n",
            "['25-07-1998', 55.263, 29.386, 12.588]\n",
            "['26-07-1998', 58.114, 36.974, 22.807]\n",
            "['27-07-1998', 57.895, 35.0, 22.588]\n",
            "['28-07-1998', 53.596, 33.246, 18.07]\n",
            "['29-07-1998', 58.596, 30.57, 18.509]\n",
            "['30-07-1998', 60.921, 35.921, 15.351]\n",
            "['31-07-1998', 57.763, 30.921, 14.43]\n",
            "['01-08-1998', 57.412, 32.982, 18.596]\n",
            "['02-08-1998', 44.825, 25.746, 17.105]\n",
            "['03-08-1998', 48.596, 27.632, 17.719]\n",
            "['04-08-1998', 54.079, 32.544, 17.851]\n",
            "['05-08-1998', 47.325, 30.658, 19.342]\n",
            "['06-08-1998', 54.167, 26.491, 10.439]\n",
            "['07-08-1998', 52.325, 31.447, 17.149]\n",
            "['08-08-1998', 54.298, 33.64, 19.605]\n",
            "['09-08-1998', 52.061, 33.816, 21.36]\n",
            "['10-08-1998', 58.202, 36.316, 26.36]\n",
            "['11-08-1998', 50.833, 33.553, 20.351]\n",
            "['12-08-1998', 36.36, 21.711, 14.167]\n",
            "['13-08-1998', 40.263, 23.07, 16.053]\n",
            "['14-08-1998', 45.789, 20.482, 10.175]\n",
            "['15-08-1998', 44.912, 23.86, 13.07]\n",
            "['16-08-1998', 44.254, 22.719, 11.842]\n",
            "['17-08-1998', 59.254, 37.456, 20.263]\n",
            "['18-08-1998', 66.886, 45.526, 29.254]\n",
            "['19-08-1998', 58.377, 41.14, 26.623]\n",
            "['20-08-1998', 41.754, 24.737, 13.07]\n",
            "['21-08-1998', 47.851, 29.781, 17.939]\n",
            "['22-08-1998', 58.246, 35.395, 19.561]\n",
            "['23-08-1998', 55.088, 30.746, 16.974]\n",
            "['24-08-1998', 49.605, 28.07, 16.579]\n",
            "['25-08-1998', 53.772, 33.026, 17.149]\n",
            "['26-08-1998', 56.14, 32.149, 14.956]\n",
            "['27-08-1998', 47.237, 29.298, 16.053]\n",
            "['28-08-1998', 53.421, 30.965, 16.974]\n",
            "['29-08-1998', 59.474, 38.333, 23.158]\n",
            "['30-08-1998', 55.175, 32.456, 22.719]\n",
            "['31-08-1998', 58.377, 36.798, 26.886]\n",
            "['01-09-1998', 58.553, 37.325, 23.246]\n",
            "['02-09-1998', 57.588, 35.395, 19.825]\n",
            "['03-09-1998', 59.605, 32.544, 19.035]\n",
            "['04-09-1998', 57.237, 35.132, 20.526]\n",
            "['05-09-1998', 62.632, 30.877, 17.982]\n",
            "['06-09-1998', 58.377, 33.158, 19.342]\n",
            "['07-09-1998', 62.412, 35.219, 21.272]\n",
            "['08-09-1998', 56.754, 30.439, 15.132]\n",
            "['09-09-1998', 58.64, 32.939, 15.482]\n",
            "['10-09-1998', 59.254, 36.009, 17.632]\n",
            "['11-09-1998', 68.114, 44.342, 26.974]\n",
            "['12-09-1998', 74.605, 46.316, 26.974]\n",
            "['13-09-1998', 75.307, 48.421, 27.675]\n",
            "['14-09-1998', 73.947, 55.044, 33.421]\n",
            "['15-09-1998', 68.114, 43.86, 24.386]\n",
            "['16-09-1998', 63.596, 42.895, 22.588]\n",
            "['17-09-1998', 65.614, 39.123, 21.053]\n",
            "['18-09-1998', 60.57, 36.14, 19.123]\n",
            "['19-09-1998', 58.816, 33.64, 14.825]\n",
            "['20-09-1998', 65.877, 42.588, 22.588]\n",
            "['21-09-1998', 64.561, 41.272, 22.412]\n",
            "['22-09-1998', 64.035, 44.298, 22.588]\n",
            "['23-09-1998', 68.904, 46.974, 26.623]\n",
            "['24-09-1998', 69.342, 44.737, 25.789]\n",
            "['25-09-1998', 56.711, 29.298, 13.772]\n",
            "['26-09-1998', 51.316, 28.114, 13.114]\n",
            "['27-09-1998', 62.939, 43.728, 27.368]\n",
            "['28-09-1998', 62.763, 39.167, 22.412]\n",
            "['29-09-1998', 60.877, 28.246, 9.825]\n",
            "['30-09-1998', 67.325, 39.912, 17.237]\n",
            "['01-10-1998', 71.93, 48.289, 28.904]\n",
            "['02-10-1998', 59.825, 33.684, 20.0]\n",
            "['03-10-1998', 53.947, 26.053, 10.614]\n",
            "['04-10-1998', 58.904, 23.202, 8.728]\n",
            "['05-10-1998', 61.14, 31.009, 12.368]\n",
            "['06-10-1998', 59.912, 28.904, 13.991]\n",
            "['07-10-1998', 63.904, 35.439, 14.825]\n",
            "['08-10-1998', 57.895, 38.904, 21.623]\n",
            "['09-10-1998', 57.544, 30.877, 18.596]\n",
            "['10-10-1998', 49.605, 27.061, 14.693]\n",
            "['11-10-1998', 49.167, 26.754, 12.456]\n",
            "['12-10-1998', 52.763, 25.614, 12.544]\n",
            "['13-10-1998', 46.404, 19.737, 8.509]\n",
            "['14-10-1998', 40.132, 13.684, 7.061]\n",
            "['15-10-1998', 54.035, 28.07, 13.947]\n",
            "['16-10-1998', 57.675, 31.36, 13.07]\n",
            "['17-10-1998', 57.281, 27.807, 11.93]\n",
            "['18-10-1998', 54.254, 30.395, 14.956]\n",
            "['19-10-1998', 51.93, 26.053, 15.219]\n",
            "['20-10-1998', 43.947, 19.386, 9.298]\n",
            "['21-10-1998', 51.754, 23.596, 10.132]\n",
            "['22-10-1998', 43.333, 23.246, 13.07]\n",
            "['23-10-1998', 54.079, 24.167, 9.474]\n",
            "['24-10-1998', 49.254, 20.044, 7.368]\n",
            "['25-10-1998', 42.895, 24.167, 11.053]\n",
            "['26-10-1998', 30.0, 16.272, 7.018]\n",
            "['27-10-1998', 41.579, 14.254, 6.184]\n",
            "['28-10-1998', 48.553, 22.675, 9.561]\n",
            "['29-10-1998', 45.526, 21.404, 7.763]\n",
            "['30-10-1998', 41.36, 14.43, 6.14]\n",
            "['31-10-1998', 44.035, 22.763, 12.105]\n",
            "['01-11-1998', 43.772, 24.868, 14.167]\n",
            "['02-11-1998', 44.605, 29.254, 16.404]\n",
            "['03-11-1998', 39.254, 26.447, 16.447]\n",
            "['04-11-1998', 33.64, 18.596, 9.211]\n",
            "['05-11-1998', 39.956, 24.386, 12.982]\n",
            "['06-11-1998', 41.798, 26.711, 16.535]\n",
            "['07-11-1998', 43.553, 26.404, 13.246]\n",
            "['08-11-1998', 43.816, 22.456, 8.333]\n",
            "['09-11-1998', 37.281, 11.184, 5.132]\n",
            "['10-11-1998', 34.605, 11.623, 2.412]\n",
            "['11-11-1998', 30.132, 10.965, 3.596]\n",
            "['12-11-1998', 32.193, 10.746, 3.158]\n",
            "['13-11-1998', 26.491, 8.947, 1.842]\n",
            "['14-11-1998', 27.149, 11.14, 2.939]\n",
            "['15-11-1998', 36.272, 19.167, 8.158]\n",
            "['16-11-1998', 34.868, 21.842, 7.807]\n",
            "['17-11-1998', 38.947, 20.877, 10.614]\n",
            "['18-11-1998', 37.105, 16.14, 4.079]\n",
            "['19-11-1998', 32.018, 11.842, 3.991]\n",
            "['20-11-1998', 34.561, 17.588, 7.149]\n",
            "['21-11-1998', 37.675, 18.202, 7.719]\n",
            "['22-11-1998', 38.421, 22.632, 11.009]\n",
            "['23-11-1998', 29.868, 14.518, 5.132]\n",
            "['24-11-1998', 25.746, 8.421, 2.807]\n",
            "['25-11-1998', 22.632, 4.956, 0.351]\n",
            "['26-11-1998', 28.026, 7.149, 1.228]\n",
            "['27-11-1998', 30.614, 10.175, 2.412]\n",
            "['28-11-1998', 31.667, 11.579, 2.807]\n",
            "['29-11-1998', 35.614, 11.14, 3.684]\n",
            "['30-11-1998', 39.868, 17.982, 6.491]\n",
            "['01-12-1998', 38.86, 17.851, 8.684]\n",
            "['02-12-1998', 34.342, 17.281, 8.07]\n",
            "['03-12-1998', 33.289, 10.789, 5.263]\n",
            "['04-12-1998', 28.07, 14.254, 7.544]\n",
            "['05-12-1998', 33.991, 15.702, 6.316]\n",
            "['06-12-1998', 32.412, 10.0, 2.325]\n",
            "['07-12-1998', 26.228, 6.053, 0.351]\n",
            "['08-12-1998', 31.228, 14.254, 6.535]\n",
            "['09-12-1998', 29.386, 11.667, 3.026]\n",
            "['10-12-1998', 30.263, 9.518, 1.404]\n",
            "['11-12-1998', 24.035, 8.684, 2.632]\n",
            "['12-12-1998', 19.605, 5.351, 1.535]\n",
            "['13-12-1998', 24.693, 9.474, 3.596]\n",
            "['14-12-1998', 26.404, 6.798, 1.272]\n",
            "['15-12-1998', 13.333, 1.623, 0.088]\n",
            "['16-12-1998', 17.895, 5.702, 1.404]\n",
            "['17-12-1998', 21.228, 4.474, 0.965]\n",
            "['18-12-1998', 18.86, 4.693, 0.877]\n",
            "['19-12-1998', 16.36, 3.86, 1.272]\n",
            "['20-12-1998', 22.719, 5.263, 1.36]\n",
            "['21-12-1998', 26.974, 6.096, 0.526]\n",
            "['22-12-1998', 17.193, 6.535, 3.07]\n",
            "['23-12-1998', 19.211, 5.789, 3.202]\n",
            "['24-12-1998', 23.114, 4.737, 0.307]\n",
            "['25-12-1998', 16.623, 4.518, 0.833]\n",
            "['26-12-1998', 27.632, 7.193, 0.789]\n",
            "['27-12-1998', 29.956, 10.482, 2.544]\n",
            "['28-12-1998', 32.105, 14.079, 3.202]\n",
            "['29-12-1998', 26.272, 8.07, 1.886]\n",
            "['30-12-1998', 14.737, 6.053, 1.36]\n",
            "['31-12-1998', 21.447, 6.711, 2.544]\n",
            "['01-01-1999', 18.246, 4.298, 1.096]\n",
            "['02-01-1999', 26.053, 5.395, 0.526]\n",
            "['03-01-1999', 17.237, 2.5, 0.088]\n",
            "['04-01-1999', 28.465, 7.851, 0.921]\n",
            "['05-01-1999', 26.009, 8.728, 3.421]\n",
            "['06-01-1999', 21.272, 7.719, 3.246]\n",
            "['07-01-1999', 26.93, 9.386, 3.246]\n",
            "['08-01-1999', 21.14, 3.246, 0.175]\n",
            "['09-01-1999', 25.307, 6.053, 2.237]\n",
            "['10-01-1999', 20.877, 5.219, 1.404]\n",
            "['11-01-1999', 15.526, 6.316, 2.193]\n",
            "['12-01-1999', 19.211, 7.456, 4.605]\n",
            "['13-01-1999', 25.482, 8.333, 4.781]\n",
            "['14-01-1999', 28.684, 7.5, 1.579]\n",
            "['15-01-1999', 23.509, 3.114, 0.044]\n",
            "['16-01-1999', 19.518, 4.605, 0.921]\n",
            "['17-01-1999', 16.93, 4.123, 1.009]\n",
            "['18-01-1999', 20.0, 3.114, 0.57]\n",
            "['19-01-1999', 15.044, 2.456, 0.219]\n",
            "['20-01-1999', 22.281, 6.404, 0.526]\n",
            "['21-01-1999', 25.263, 6.272, 0.877]\n",
            "['22-01-1999', 19.342, 7.281, 1.667]\n",
            "['23-01-1999', 12.544, 3.728, 1.93]\n",
            "['24-01-1999', 10.219, 1.711, 0.263]\n",
            "['25-01-1999', 9.474, 4.211, 1.14]\n",
            "['26-01-1999', 13.596, 4.123, 0.833]\n",
            "['27-01-1999', 25.044, 6.974, 0.746]\n",
            "['28-01-1999', 31.053, 15.0, 4.956]\n",
            "['29-01-1999', 27.5, 6.667, 2.018]\n",
            "['30-01-1999', 23.64, 5.614, 1.798]\n",
            "['31-01-1999', 19.474, 4.298, 1.272]\n",
            "['01-02-1999', 28.202, 6.053, 2.719]\n",
            "['02-02-1999', 40.482, 14.605, 5.395]\n",
            "['03-02-1999', 39.518, 16.404, 3.596]\n",
            "['04-02-1999', 40.746, 14.035, 3.64]\n",
            "['05-02-1999', 36.754, 13.289, 3.377]\n",
            "['06-02-1999', 30.746, 8.114, 1.798]\n",
            "['07-02-1999', 34.868, 12.368, 5.219]\n",
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            "['09-02-1999', 15.307, 1.974, 0.044]\n",
            "['10-02-1999', 23.377, 5.0, 0.965]\n",
            "['11-02-1999', 26.886, 6.272, 0.175]\n",
            "['12-02-1999', 14.123, 3.114, 0.482]\n",
            "['13-02-1999', 20.789, 2.588, 0.263]\n",
            "['14-02-1999', 11.974, 0.658, 0.088]\n",
            "['15-02-1999', 29.561, 5.789, 2.5]\n",
            "['16-02-1999', 33.289, 12.895, 5.57]\n",
            "['17-02-1999', 34.737, 15.614, 4.518]\n",
            "['18-02-1999', 35.439, 13.904, 4.474]\n",
            "['19-02-1999', 23.509, 5.263, 2.193]\n",
            "['20-02-1999', 21.974, 8.421, 2.368]\n",
            "['21-02-1999', 18.816, 6.36, 4.079]\n",
            "['22-02-1999', 13.465, 4.035, 0.965]\n",
            "['23-02-1999', 20.175, 9.43, 4.254]\n",
            "['24-02-1999', 32.456, 16.053, 8.289]\n",
            "['25-02-1999', 31.404, 9.035, 2.105]\n",
            "['26-02-1999', 30.57, 12.368, 5.482]\n",
            "['27-02-1999', 15.702, 2.018, 0.395]\n",
            "['28-02-1999', 27.588, 8.772, 2.763]\n",
            "['01-03-1999', 19.079, 6.36, 2.544]\n",
            "['02-03-1999', 20.044, 4.298, 0.439]\n",
            "['03-03-1999', 32.719, 12.193, 5.702]\n",
            "['04-03-1999', 39.474, 20.219, 5.877]\n",
            "['05-03-1999', 36.93, 14.254, 3.202]\n",
            "['06-03-1999', 33.553, 11.184, 1.623]\n",
            "['07-03-1999', 27.368, 7.544, 2.105]\n",
            "['08-03-1999', 31.36, 9.167, 3.07]\n",
            "['09-03-1999', 29.298, 7.456, 2.456]\n",
            "['10-03-1999', 43.904, 14.956, 2.982]\n",
            "['11-03-1999', 38.684, 13.07, 2.105]\n",
            "['12-03-1999', 37.105, 9.342, 0.439]\n",
            "['13-03-1999', 27.982, 4.912, 0.132]\n",
            "['14-03-1999', 28.728, 5.088, 0.439]\n",
            "['15-03-1999', 28.07, 5.965, 1.009]\n",
            "['16-03-1999', 32.895, 16.184, 3.114]\n",
            "['17-03-1999', 29.254, 10.351, 2.149]\n",
            "['18-03-1999', 31.623, 7.939, 0.877]\n",
            "['19-03-1999', 31.36, 11.053, 3.07]\n",
            "['20-03-1999', 34.386, 17.939, 6.14]\n",
            "['21-03-1999', 34.123, 11.579, 2.851]\n",
            "['22-03-1999', 36.36, 20.132, 5.921]\n",
            "['23-03-1999', 39.825, 17.807, 5.395]\n",
            "['24-03-1999', 31.842, 11.667, 1.93]\n",
            "['25-03-1999', 31.754, 12.456, 2.281]\n",
            "['26-03-1999', 29.342, 5.921, 1.447]\n",
            "['27-03-1999', 30.175, 10.877, 1.36]\n",
            "['28-03-1999', 25.088, 9.693, 3.728]\n",
            "['29-03-1999', 31.974, 13.509, 5.746]\n",
            "['30-03-1999', 35.175, 15.395, 6.667]\n",
            "['31-03-1999', 44.649, 27.5, 14.254]\n",
            "['01-04-1999', 46.096, 26.316, 10.57]\n",
            "['02-04-1999', 47.763, 30.307, 9.254]\n",
            "['03-04-1999', 37.632, 20.307, 7.281]\n",
            "['04-04-1999', 42.237, 20.658, 6.096]\n",
            "['05-04-1999', 44.386, 29.298, 7.632]\n",
            "['06-04-1999', 48.947, 34.035, 11.754]\n",
            "['07-04-1999', 46.711, 29.561, 13.421]\n",
            "['08-04-1999', 40.175, 18.596, 6.798]\n",
            "['09-04-1999', 47.763, 18.991, 5.965]\n",
            "['10-04-1999', 47.632, 11.579, 1.886]\n",
            "['11-04-1999', 39.912, 13.114, 3.289]\n",
            "['12-04-1999', 48.289, 18.509, 4.342]\n",
            "['13-04-1999', 51.754, 20.307, 3.114]\n",
            "['14-04-1999', 53.816, 27.807, 3.596]\n",
            "['15-04-1999', 43.509, 20.263, 6.228]\n",
            "['16-04-1999', 48.465, 22.851, 8.991]\n",
            "['17-04-1999', 47.149, 22.982, 6.711]\n",
            "['18-04-1999', 45.789, 24.342, 2.807]\n",
            "['19-04-1999', 46.053, 27.763, 8.64]\n",
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            "['28-04-1999', 59.868, 37.105, 14.123]\n",
            "['29-04-1999', 62.281, 43.728, 20.965]\n",
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            "['03-03-2000', 24.079, 3.421, 0.395]\n",
            "['04-03-2000', 23.333, 5.395, 0.57]\n",
            "['05-03-2000', 26.14, 6.93, 1.228]\n",
            "['06-03-2000', 28.772, 5.746, 0.307]\n",
            "['07-03-2000', 29.474, 6.053, 0.132]\n",
            "['08-03-2000', 35.395, 15.044, 2.061]\n",
            "['09-03-2000', 36.14, 11.798, 2.061]\n",
            "['10-03-2000', 25.351, 9.737, 1.535]\n",
            "['11-03-2000', 27.018, 6.667, 1.14]\n",
            "['12-03-2000', 19.737, 1.886, 0.175]\n",
            "['13-03-2000', 11.974, 1.14, 0.044]\n",
            "['14-03-2000', 18.596, 2.719, 0.614]\n",
            "['15-03-2000', 31.711, 8.333, 1.096]\n",
            "['16-03-2000', 32.149, 9.298, 1.184]\n",
            "['17-03-2000', 31.491, 11.798, 1.053]\n",
            "['18-03-2000', 35.658, 17.193, 2.544]\n",
            "['19-03-2000', 36.798, 15.351, 6.009]\n",
            "['20-03-2000', 45.57, 25.395, 9.298]\n",
            "['21-03-2000', 41.491, 22.061, 9.649]\n",
            "['22-03-2000', 46.36, 25.044, 9.605]\n",
            "['23-03-2000', 46.404, 28.991, 15.658]\n",
            "['24-03-2000', 47.368, 15.965, 4.123]\n",
            "['25-03-2000', 44.211, 19.079, 5.263]\n",
            "['26-03-2000', 46.711, 21.711, 5.482]\n",
            "['27-03-2000', 38.86, 10.482, 1.711]\n",
            "['28-03-2000', 36.491, 9.167, 2.281]\n",
            "['29-03-2000', 38.246, 12.018, 3.684]\n",
            "['30-03-2000', 33.026, 13.728, 5.219]\n",
            "['31-03-2000', 33.202, 10.921, 1.404]\n",
            "['01-04-2000', 42.018, 21.316, 6.228]\n",
            "['02-04-2000', 44.474, 25.965, 5.526]\n",
            "['03-04-2000', 39.123, 19.167, 6.096]\n",
            "['04-04-2000', 38.816, 14.518, 2.5]\n",
            "['05-04-2000', 42.412, 17.807, 6.754]\n",
            "['06-04-2000', 38.07, 16.754, 6.272]\n",
            "['07-04-2000', 41.798, 22.939, 8.465]\n",
            "['08-04-2000', 43.026, 14.079, 2.149]\n",
            "['09-04-2000', 32.018, 12.632, 5.351]\n",
            "['10-04-2000', 34.956, 10.175, 2.105]\n",
            "['11-04-2000', 42.851, 21.009, 6.93]\n",
            "['12-04-2000', 47.149, 26.754, 12.193]\n",
            "['13-04-2000', 35.658, 8.947, 1.535]\n",
            "['14-04-2000', 43.026, 18.246, 5.702]\n",
            "['15-04-2000', 47.325, 32.456, 15.57]\n",
            "['16-04-2000', 43.333, 23.289, 6.798]\n",
            "['17-04-2000', 48.728, 25.0, 8.114]\n",
            "['18-04-2000', 44.781, 14.912, 3.158]\n",
            "['19-04-2000', 48.596, 14.43, 1.842]\n",
            "['20-04-2000', 48.377, 27.105, 5.219]\n",
            "['21-04-2000', 50.57, 30.658, 15.746]\n",
            "['22-04-2000', 55.351, 34.43, 14.167]\n",
            "['23-04-2000', 36.842, 18.421, 5.263]\n",
            "['24-04-2000', 45.088, 21.316, 10.0]\n",
            "['25-04-2000', 61.053, 37.982, 15.57]\n",
            "['26-04-2000', 52.544, 25.702, 10.482]\n",
            "['27-04-2000', 56.886, 27.5, 9.035]\n",
            "['28-04-2000', 58.64, 39.167, 18.904]\n",
            "['29-04-2000', 52.719, 27.851, 8.465]\n",
            "['30-04-2000', 51.623, 24.211, 6.579]\n",
            "['01-05-2000', 43.114, 13.246, 3.289]\n",
            "['02-05-2000', 30.789, 12.149, 2.237]\n",
            "['03-05-2000', 47.412, 15.088, 2.719]\n",
            "['04-05-2000', 42.368, 14.605, 4.737]\n",
            "['05-05-2000', 36.886, 12.412, 3.684]\n",
            "['06-05-2000', 40.746, 17.982, 5.044]\n",
            "['07-05-2000', 48.64, 22.325, 5.614]\n",
            "['08-05-2000', 53.158, 29.386, 11.36]\n",
            "['09-05-2000', 53.377, 23.947, 10.746]\n",
            "['10-05-2000', 54.649, 24.693, 10.482]\n",
            "['11-05-2000', 59.956, 40.746, 23.465]\n",
            "['12-05-2000', 52.456, 27.544, 9.956]\n",
            "['13-05-2000', 48.904, 23.421, 5.833]\n",
            "['14-05-2000', 39.035, 12.763, 1.36]\n",
            "['15-05-2000', 45.789, 20.789, 6.623]\n",
            "['16-05-2000', 51.974, 20.044, 9.167]\n",
            "['17-05-2000', 56.272, 23.904, 7.193]\n",
            "['18-05-2000', 56.579, 32.456, 13.728]\n",
            "['19-05-2000', 50.482, 25.877, 10.482]\n",
            "['20-05-2000', 57.325, 32.982, 18.553]\n",
            "['21-05-2000', 64.912, 40.307, 27.412]\n",
            "['22-05-2000', 72.105, 49.123, 28.86]\n",
            "['23-05-2000', 65.439, 37.5, 16.096]\n",
            "['24-05-2000', 61.36, 37.982, 17.632]\n",
            "['25-05-2000', 50.395, 29.649, 16.447]\n",
            "['26-05-2000', 48.202, 19.912, 8.509]\n",
            "['27-05-2000', 47.675, 20.746, 7.018]\n",
            "['28-05-2000', 35.789, 16.579, 7.895]\n",
            "['29-05-2000', 28.289, 8.158, 1.842]\n",
            "['30-05-2000', 43.07, 23.158, 9.956]\n",
            "['31-05-2000', 50.175, 27.807, 14.298]\n",
            "['01-06-2000', 58.421, 34.386, 16.535]\n",
            "['02-06-2000', 61.36, 37.368, 18.333]\n",
            "['03-06-2000', 64.079, 41.535, 19.43]\n",
            "['04-06-2000', 55.702, 33.158, 20.614]\n",
            "['05-06-2000', 70.395, 48.728, 27.412]\n",
            "['06-06-2000', 70.614, 51.711, 31.491]\n",
            "['07-06-2000', 55.395, 29.079, 14.474]\n",
            "['08-06-2000', 56.535, 18.772, 4.912]\n",
            "['09-06-2000', 56.272, 25.746, 7.281]\n",
            "['10-06-2000', 57.807, 35.263, 18.64]\n",
            "['11-06-2000', 56.667, 28.991, 17.281]\n",
            "['12-06-2000', 53.465, 25.789, 9.605]\n",
            "['13-06-2000', 55.57, 25.789, 7.982]\n",
            "['14-06-2000', 68.553, 32.588, 11.886]\n",
            "['15-06-2000', 61.711, 34.518, 16.447]\n",
            "['16-06-2000', 58.289, 33.465, 17.105]\n",
            "['17-06-2000', 57.281, 34.825, 16.404]\n",
            "['18-06-2000', 56.14, 32.939, 17.281]\n",
            "['19-06-2000', 56.886, 34.079, 19.342]\n",
            "['20-06-2000', 53.684, 30.877, 13.816]\n",
            "['21-06-2000', 60.921, 43.553, 26.053]\n",
            "['22-06-2000', 71.228, 44.518, 21.316]\n",
            "['23-06-2000', 58.991, 31.974, 15.833]\n",
            "['24-06-2000', 60.965, 33.816, 14.737]\n",
            "['25-06-2000', 57.193, 35.395, 19.342]\n",
            "['26-06-2000', 51.404, 25.088, 11.053]\n",
            "['27-06-2000', 44.649, 20.614, 10.614]\n",
            "['28-06-2000', 44.649, 24.079, 12.281]\n",
            "['29-06-2000', 53.333, 25.219, 7.544]\n",
            "['30-06-2000', 63.465, 33.904, 14.912]\n",
            "['01-07-2000', 60.395, 36.272, 17.325]\n",
            "['02-07-2000', 59.298, 37.544, 19.605]\n",
            "['03-07-2000', 56.228, 34.167, 16.974]\n",
            "['04-07-2000', 57.851, 31.886, 17.544]\n",
            "['05-07-2000', 49.342, 31.754, 15.439]\n",
            "['06-07-2000', 51.228, 25.746, 11.667]\n",
            "['07-07-2000', 49.825, 23.684, 8.026]\n",
            "['08-07-2000', 45.307, 21.974, 9.123]\n",
            "['09-07-2000', 49.43, 24.254, 12.456]\n",
            "['10-07-2000', 55.395, 30.921, 11.842]\n",
            "['11-07-2000', 55.307, 28.64, 10.57]\n",
            "['12-07-2000', 49.868, 27.149, 12.237]\n",
            "['13-07-2000', 55.746, 29.912, 14.518]\n",
            "['14-07-2000', 50.0, 24.912, 13.728]\n",
            "['15-07-2000', 42.105, 17.412, 5.789]\n",
            "['16-07-2000', 50.395, 25.0, 10.351]\n",
            "['17-07-2000', 51.14, 28.114, 12.5]\n",
            "['18-07-2000', 56.184, 36.404, 22.982]\n",
            "['19-07-2000', 49.474, 25.921, 15.175]\n",
            "['20-07-2000', 50.263, 29.079, 14.035]\n",
            "['21-07-2000', 57.807, 35.57, 19.254]\n",
            "['22-07-2000', 54.605, 34.167, 20.877]\n",
            "['23-07-2000', 51.579, 30.263, 17.237]\n",
            "['24-07-2000', 46.184, 27.632, 12.5]\n",
            "['25-07-2000', 53.026, 35.175, 21.447]\n",
            "['26-07-2000', 52.412, 33.553, 21.447]\n",
            "['27-07-2000', 54.605, 33.947, 17.544]\n",
            "['28-07-2000', 55.044, 33.728, 20.921]\n",
            "['29-07-2000', 54.43, 35.833, 24.518]\n",
            "['30-07-2000', 49.868, 36.228, 26.316]\n",
            "['31-07-2000', 46.272, 33.86, 27.061]\n",
            "['01-08-2000', 54.561, 28.816, 14.254]\n",
            "['02-08-2000', 71.491, 46.667, 25.0]\n",
            "['03-08-2000', 68.684, 39.649, 24.518]\n",
            "['04-08-2000', 64.123, 35.482, 14.825]\n",
            "['05-08-2000', 61.096, 31.798, 15.57]\n",
            "['06-08-2000', 66.053, 40.132, 19.167]\n",
            "['07-08-2000', 55.833, 25.351, 11.36]\n",
            "['08-08-2000', 58.509, 29.561, 16.404]\n",
            "['09-08-2000', 59.123, 32.982, 12.807]\n",
            "['10-08-2000', 63.947, 34.781, 16.93]\n",
            "['11-08-2000', 66.447, 32.632, 15.526]\n",
            "['12-08-2000', 70.833, 38.816, 16.053]\n",
            "['13-08-2000', 65.132, 39.474, 17.5]\n",
            "['14-08-2000', 66.096, 39.737, 17.061]\n",
            "['15-08-2000', 57.895, 35.132, 18.816]\n",
            "['16-08-2000', 54.649, 20.658, 5.263]\n",
            "['17-08-2000', 49.912, 22.456, 8.377]\n",
            "['18-08-2000', 51.36, 28.07, 9.342]\n",
            "['19-08-2000', 56.535, 29.298, 14.43]\n",
            "['20-08-2000', 51.842, 28.07, 12.719]\n",
            "['21-08-2000', 64.868, 40.746, 19.211]\n",
            "['22-08-2000', 68.246, 41.667, 21.272]\n",
            "['23-08-2000', 61.623, 34.912, 15.439]\n",
            "['24-08-2000', 46.93, 24.035, 10.921]\n",
            "['25-08-2000', 58.684, 28.816, 10.219]\n",
            "['26-08-2000', 59.254, 34.474, 17.675]\n",
            "['27-08-2000', 58.07, 35.702, 17.675]\n",
            "['28-08-2000', 56.886, 30.833, 11.886]\n",
            "['29-08-2000', 56.974, 30.965, 11.579]\n",
            "['30-08-2000', 63.816, 40.175, 20.702]\n",
            "['31-08-2000', 68.684, 41.93, 21.404]\n",
            "['01-09-2000', 53.728, 22.193, 9.825]\n",
            "['02-09-2000', 63.333, 30.0, 10.746]\n",
            "['03-09-2000', 68.026, 37.368, 16.974]\n",
            "['04-09-2000', 71.974, 46.93, 27.105]\n",
            "['05-09-2000', 69.518, 43.553, 26.974]\n",
            "['06-09-2000', 59.605, 33.772, 17.895]\n",
            "['07-09-2000', 58.07, 32.588, 14.342]\n",
            "['08-09-2000', 63.947, 31.447, 11.36]\n",
            "['09-09-2000', 60.833, 31.491, 16.623]\n",
            "['10-09-2000', 54.254, 29.079, 10.044]\n",
            "['11-09-2000', 58.509, 29.561, 12.632]\n",
            "['12-09-2000', 59.605, 29.825, 12.193]\n",
            "['13-09-2000', 65.044, 30.044, 12.412]\n",
            "['14-09-2000', 62.851, 27.851, 9.43]\n",
            "['15-09-2000', 60.614, 28.772, 11.404]\n",
            "['16-09-2000', 60.439, 28.816, 9.912]\n",
            "['17-09-2000', 54.912, 19.605, 6.316]\n",
            "['18-09-2000', 62.982, 35.702, 15.833]\n",
            "['19-09-2000', 68.465, 43.333, 22.5]\n",
            "['20-09-2000', 68.377, 44.254, 21.447]\n",
            "['21-09-2000', 53.772, 28.904, 13.728]\n",
            "['22-09-2000', 56.93, 25.702, 9.211]\n",
            "['23-09-2000', 63.377, 35.044, 15.57]\n",
            "['24-09-2000', 60.219, 30.263, 13.377]\n",
            "['25-09-2000', 57.193, 29.43, 14.254]\n",
            "['26-09-2000', 48.904, 22.632, 11.579]\n",
            "['27-09-2000', 56.36, 30.0, 12.588]\n",
            "['28-09-2000', 65.307, 37.851, 19.781]\n",
            "['29-09-2000', 56.272, 33.684, 18.465]\n",
            "['30-09-2000', 51.535, 29.254, 14.474]\n",
            "['01-10-2000', 58.904, 28.289, 15.965]\n",
            "['02-10-2000', 58.684, 31.228, 15.833]\n",
            "['03-10-2000', 55.57, 30.219, 16.316]\n",
            "['04-10-2000', 59.474, 33.026, 12.675]\n",
            "['05-10-2000', 51.623, 25.57, 11.623]\n",
            "['06-10-2000', 50.658, 21.667, 4.956]\n",
            "['07-10-2000', 49.035, 26.228, 9.781]\n",
            "['08-10-2000', 45.789, 19.605, 9.474]\n",
            "['09-10-2000', 48.991, 22.807, 9.868]\n",
            "['10-10-2000', 47.456, 15.965, 7.939]\n",
            "['11-10-2000', 49.079, 22.807, 7.456]\n",
            "['12-10-2000', 60.921, 34.167, 21.228]\n",
            "['13-10-2000', 72.105, 38.509, 16.886]\n",
            "['14-10-2000', 64.518, 36.754, 18.026]\n",
            "['15-10-2000', 58.772, 31.447, 13.904]\n",
            "['16-10-2000', 56.272, 32.149, 14.079]\n",
            "['17-10-2000', 56.316, 33.158, 15.658]\n",
            "['18-10-2000', 55.482, 23.684, 11.009]\n",
            "['19-10-2000', 48.991, 21.36, 6.842]\n",
            "['20-10-2000', 44.035, 22.061, 6.886]\n",
            "['21-10-2000', 52.675, 30.658, 16.535]\n",
            "['22-10-2000', 43.509, 20.175, 9.825]\n",
            "['23-10-2000', 40.833, 19.254, 8.246]\n",
            "['24-10-2000', 52.018, 24.342, 8.421]\n",
            "['25-10-2000', 41.053, 22.281, 13.333]\n",
            "['26-10-2000', 41.184, 22.237, 13.026]\n",
            "['27-10-2000', 42.193, 20.833, 10.57]\n",
            "['28-10-2000', 43.246, 21.272, 9.254]\n",
            "['29-10-2000', 44.518, 22.281, 9.605]\n",
            "['30-10-2000', 39.868, 15.833, 5.702]\n",
            "['31-10-2000', 42.193, 20.965, 9.079]\n",
            "['01-11-2000', 39.035, 19.868, 9.868]\n",
            "['02-11-2000', 34.737, 13.509, 5.351]\n",
            "['03-11-2000', 34.035, 14.123, 5.307]\n",
            "['04-11-2000', 33.904, 13.904, 6.535]\n",
            "['05-11-2000', 28.684, 10.044, 4.825]\n",
            "['06-11-2000', 27.193, 13.114, 6.404]\n",
            "['07-11-2000', 23.377, 8.64, 3.772]\n",
            "['08-11-2000', 24.298, 7.368, 2.588]\n",
            "['09-11-2000', 27.456, 11.053, 4.649]\n",
            "['10-11-2000', 33.816, 15.263, 5.614]\n",
            "['11-11-2000', 37.149, 17.018, 7.807]\n",
            "['12-11-2000', 33.991, 13.553, 2.5]\n",
            "['13-11-2000', 30.482, 9.474, 3.904]\n",
            "['14-11-2000', 37.763, 15.088, 5.351]\n",
            "['15-11-2000', 43.596, 22.325, 9.474]\n",
            "['16-11-2000', 31.623, 12.018, 4.605]\n",
            "['17-11-2000', 30.789, 7.544, 3.07]\n",
            "['18-11-2000', 38.377, 12.412, 5.263]\n",
            "['19-11-2000', 33.465, 14.035, 4.518]\n",
            "['20-11-2000', 34.649, 14.518, 5.877]\n",
            "['21-11-2000', 42.105, 22.368, 12.456]\n",
            "['22-11-2000', 43.158, 25.088, 12.719]\n",
            "['23-11-2000', 32.456, 17.544, 10.395]\n",
            "['24-11-2000', 40.307, 18.509, 4.737]\n",
            "['25-11-2000', 33.728, 11.096, 1.754]\n",
            "['26-11-2000', 34.518, 14.737, 5.833]\n",
            "['27-11-2000', 32.675, 13.465, 5.439]\n",
            "['28-11-2000', 33.772, 14.781, 3.289]\n",
            "['29-11-2000', 35.132, 15.044, 4.649]\n",
            "['30-11-2000', 39.43, 19.211, 6.623]\n",
            "['01-12-2000', 35.57, 20.746, 10.219]\n",
            "['02-12-2000', 29.342, 15.789, 5.833]\n",
            "['03-12-2000', 30.132, 13.246, 3.684]\n",
            "['04-12-2000', 23.816, 7.018, 0.965]\n",
            "['05-12-2000', 23.465, 6.886, 1.053]\n",
            "['06-12-2000', 24.386, 8.64, 2.061]\n",
            "['07-12-2000', 23.947, 7.763, 0.833]\n",
            "['08-12-2000', 22.281, 7.149, 0.877]\n",
            "['09-12-2000', 23.114, 8.377, 1.316]\n",
            "['10-12-2000', 17.5, 1.798, 0.0]\n",
            "['11-12-2000', 17.149, 4.956, 0.658]\n",
            "['12-12-2000', 20.921, 3.377, 0.395]\n",
            "['13-12-2000', 20.263, 9.079, 0.482]\n",
            "['14-12-2000', 21.096, 8.991, 5.044]\n",
            "['15-12-2000', 17.544, 6.491, 1.667]\n",
            "['16-12-2000', 12.807, 3.114, 1.009]\n",
            "['17-12-2000', 18.509, 6.009, 1.316]\n",
            "['18-12-2000', 23.684, 9.693, 3.158]\n",
            "['19-12-2000', 21.228, 8.596, 6.14]\n",
            "['20-12-2000', 17.632, 6.754, 2.325]\n",
            "['21-12-2000', 21.009, 9.254, 5.395]\n",
            "['22-12-2000', 21.579, 8.465, 2.982]\n",
            "['23-12-2000', 23.553, 8.377, 3.684]\n",
            "['24-12-2000', 22.588, 6.009, 1.535]\n",
            "['25-12-2000', 19.605, 2.763, 0.482]\n",
            "['26-12-2000', 23.465, 7.719, 1.842]\n",
            "['27-12-2000', 24.079, 9.474, 2.456]\n",
            "['28-12-2000', 25.877, 6.667, 0.439]\n",
            "['29-12-2000', 15.833, 6.184, 0.877]\n",
            "['30-12-2000', 12.982, 2.632, 0.526]\n",
            "['31-12-2000', 21.14, 5.482, 0.57]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fbcc6179d10>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let try the annual analysis"
      ],
      "metadata": {
        "id": "AR71jjcuyq4y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "vy.index = pd.DatetimeIndex(vy.index)\n",
        "vy['Year'] = vy.index.year\n",
        "\n",
        "vy_max = vy.groupby('Year').max()\n",
        "vy_max.plot(marker='o')\n",
        "\n",
        "vy_min = vy.groupby('Year').min()\n",
        "vy_min.plot()\n",
        "\n",
        "vy_range = vy.groupby('Year').apply(lambda g: g.max() - g.min())\n",
        "vy_range.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 821
        },
        "id": "3aBdTJJkzPXy",
        "outputId": "f20359ab-bad9-4676-b1be-2f47f2571286"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fbcc522dfd0>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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41m4nxhgNOq139ycadThdCtZuB6Ykgycg5KXEUtU6OF5rRVE4WCvZ79NflEf8uhNNHXR0O4OW9MpKMmDucmDt7ttMaPOxZs9KM9vL+95oSA3g4aawpxLqtN43gI9Ji8Pc5Qjq2aMmfPcGVLKqla2+pfJqI6tAxBt0PHDFDI43drD+UAN3XVjML9eU0GixBV0YRjN2nWzFlGQgJ9lIeoKBjIQYyiLwgp9sltbDOWOloqtKW74SSqOlm+e2nOS7T++IqNHV0QaLn4kgwaCjMD2OAwEB/D87qshIMPDQ1bPRaTXMHJPC7sq2Ib2wRhzAhRAxwCXAi4GPKXKEIUepKMqjiqLMUxRlXmZm36btPSFWr0Ug+hw8hhIy060hLkaLAiE1ekVRsHY7iYvxV68SDDoEws/pAZCbEjtoxTy17V20dzmI0Wr412fHI9ZN97nlgKmBDDxRTmfr++BEcboUtpxo5sLpOaTG6dl2oiXi1wJYbA6a3J3/htLCeLTBEtG0W/Upq7MpgGz3NL8uYL+o491bGRDA3fvXN4BLDTz0+q9nTcjgH9fN480fLObbS8az1F0BurGssdfxjhbsPNnKrDEpHqmpKCuRQxE4UT4/JvfBmeMkAzfqtSQYdH4MvNy9n7VC8O2123r0iSuKwtGGDiZk+nu/iwP8/oqisOV4MwvGp3ncLjPzU2i02IaUaPSFgZ8P7FAURZ131AkhcgDct6fUHKnRCIz6wUtkDgZsDhcGndZb7m8Pvrh02V24FMXzHBU6rcazrSTPP4DXtHVG1Nf4a49+zh/ePxT2cXUK+v1zJ9Jo6ebF7ZW9fylkAlOvFUxy67MqspPVQBX5AXqwth1zl4MFE9KYOzbVk3AKhSaLzcO2Vfjerx2CAH6wtp1vr93K8t+vZ+lv1/HwuiM9XujUKswsHwZuSgq9X9T7e3wYuM3h9ASQE43e79bWaQ8poahYMdXk+T1ykmOZmJXAp2WDN8MdTjRZbJQ3WZld4PVFTM5OpKzO3Cub3XikicxEA0VZXsacnhDjx8DL3dXDf792LjE6Ddf/c0tYOa7ebMNiczAhy9/GOzUnifImKxZ3Hq6ypZPa9i7muy8cADPy5Xm8p3LoZJS+BPCr8conAK8D17v/vx54bbAGFSniDTosNgflTR3DHsgdLhd2pwuDXkojBp0Wqy14TOqMITCAAyTGSlbuqzXnpRixOxVPoAiHlo5uvjjWzEMfH2HT0dBMTPXSXrdwLLPGpPDYp8c81sWesL+6nUmmRI+lTYUpSQatugjdASDlE4Azx6UzrzCNY40dYS1ed7y0h+v/5d+KwDeA17UFB8j73j5Adz/yIh02Bz95cTfn/2kDm483c/uKSSyamMHv3jvEuQ9+EnafNpqlm0hNtIF3vwQGBTWAH6hp9ySrD9dacLgUspOMnlL5LrsTm8MVlMTsCYsnZrDlePNp4UbZ7Q54s8ekeLYVmRLo6Hb22NzN5VLYdKSRxRMz/JLEGQkGGn2O0fJmK0LAgvFp/OuGM2jrtPOzl/eEfM+j9V4Hii/U2ajaqnbzcXlc+wbw4pwkdBrB7sqha/4WUQAXQsQDK4FXfDbfD6wUQpQBK9z3TylMSQayEg1YuhyU1Zs52WwdsN7kUhQqmqx9drjY7PKENOpkYI6LkYnMwPFYu53oNBpitMG7PjUuhvgYLYsmZni2eayEvThRVD0uVq/lJy/spj1Ez/SDtWZMSQZS4mK4ZdkEKpqtvL2vtsf3VRSF0urgBCZICyQEB9KesPl4E2PSYslNiWWeW6cMxcItNgcbyho51tDhYTkAFe4APj4zPoiBv7O3hkc/Pca2PurqFU1WLv/rJl7ZUclNS8az4Y5zuG1FEY9eN4/nb16AXqfh//1nX8hZUIPFRnp8jF8+Q52ZBI6vrl3aDdWqVvB2nbxgeg7WbicNZltQI6tIsKQoA5vD1eOMZrRgR3krWo1ger53JjrZPdvoqaDnYK2Zpo5uv/MHZCKzqcMbwCuaOshNjsWg0zItL5nbV05i/eGGkBWWvhZCXxS7/f7qebf1eDPJsXomZXlnqUa9lik5icPPwBVF6VAUJV1RlDafbU2KoixXFKVIUZQViqKc8mUvtBoN2cmxTM5OJD3BQIu12+9kjxQ33ngjWVlZTJs2DUuXg9bObk5U17Fy5UqKiopYuXIlLS09nxhq6bRBL3dpXIzWw8p9IfVvbUjrnF6rITU+xpPgAzw2pd6shKoe95evz6bObOPe10qDnnO4zuyZdq8sNjEhM57HNx7v8X1r2+VivYEJTIBEg45YvTZiCcXlkjrhmeNkJeG0vGRitJqQQWfD4Qa6VZbqc9KebLaSaNAxJTsxKECecE+Nd/QhiG0sa+SShzdS297F2hvn8/MLikmJ87LpBePT+dHKSRxv7GDjkWAW7usBVxEXoyPRqPMrcrLYHFhsDpZPkZYyNXG5r6qNRKOOJZMyPN8hsAozEiwYn45eK9gwAnXwyhZrnxZh+ehgPTPzk/3yREWeAB4+kfmZ+/dZHBDA0xMM/hJKs5WCNG//nusWFlKYHsev3joQNCM92tBBfIzWM6tSkZNsJCVO7znvtpxo5ozCVD+bLcCM/BT2VLYN2dJuo7ISMxA6rYacZCM6jcbTW6QvuOGGG3j33XcBaHFXTj30hwdZvnw5ZWVlLF++nPvv73mC0WWXDhSVWYdqe+twubA5nCHlk3CINIAfqDGTmWhgebGJW8+ZyCs7q3h3X43ncae7vFtlMhqN4NwpWRysae9x1qL2ZQnFwIUQ7mKe8BJKg9nmuYiV1Vtosdr9Ekwz8pPZFsIJ8MH+Oo9k42sfO9nSyZi0OExJRmrbuvzGrrLzSFloVWsn33xiC6ZEI69/f1FYb/zqadlkJMTw5OfBzh3fPii+yE4y+l1g1GA+f1waiUYde9zT6n3V7UzLTWa8u7fMicYOLwMPk8QMhXiDjtkFqWzw0cGrWjv5YH8dG8sa2V7eMixraiqKwlf+9jn3vR1Z0daRegsHatq5aEau3/bkWD3ZSUYO9+C02XikkYlZCZ4ZkIoMN7lTg3NFk5WxPg3YYnQafn5BMUfqLTy7pSJoPBOyEoIIlxCC4uwk9le3U2/u4nhjh598omJmfjLmLseQLYd3WgRwAI0QpMXr3V7qvmmgS5cuJS1N7ny1qdT777zJ9ddLif/666/3dBS89957uf7661myZAljx47llVde4Y477uCcs+bxvWuv8PQ+KZ40kYfu/yWLzpzHvHnz2LFjB+edt5oLF83mubWPRzy2JKOeRKOu12rM/TXtnmndf507kaKsBP6+/pjn8fKmDmwOF5OzvVO8vJRYbA5X2Co1l0vhkfVHSY3Th2TgIGWUcAzcYnNwzoOfcNlfP+N4Y4fH/71gvLeXx9zCVPZWtflptw6ni48P1XPBtGziY7R+S2JVNFsZkxZLdpIRq7uIxvc7AuyoaI2I8Tz9RTlOl8LjN8xjbHr4DnMGnZavnVHAxwfrqGzxT6r69kHxhSnJ6NcnRg3mOclGpuUms7eqDbvTxYGadll1mxKLzr3qTmAr2UixZGIGpdXtNFlsvF9ay6o/rOemJ7fxjcc3c8XfNnH279ad8vUhGyw2atu7+PRwZDODN/dUIwRcOCMn6LEiUwKH60MHcJvDyZbjzUHsG6SEoijQ7J6hN3V0B3XQXDnVxFkT0vnDB4dps3pnC4EWQl9MzU3iYK2Zz4/K4/qMwhAB3K3jD5WMMqKaWT2w5QEONh/s9+sVRSYJ9e5Se4ApaVP42fzICkSdLgVFUUiO1dPUUI/JlA1AdnY2dXVe0//Ro0dZt24d+/fvZ+HChbz88svcePtd/PDb3+Ctt97i0ktlTVNBQQF3fvQZD//mf7jhhhv4zzsfcbKxjatWLeK2/7o14u8lveDhZYpuh4sj9WbPggJ6rYY1s3J58P3D1LZ1kZ1s9MgQvgE8P1UexJUt1pAs8uUdlWwrb+G3V8zw+O4DYUoysjfMwbnfXXF5sMbMRQ9tICcllpxkI/mp3uq1eWPTeGT9MfZUtnkYzPbyFlqtdlaVZFPebPX4mxVF4WSzlXMmZ3odMG1dJBn1uFwKJ1s6yUw00GC2cazRwsSsxOBBudFld/L8lgpWTjV59kNPuPrMAv76yRGe2VzBz1ZP8YynwRKagZuSjBz1SXyqVktTspEZ+cn867MTHKwx0+1wUZKbjE6rYUxaHCeaOjydHvuigQMsLsrg9x8c5rbnd7HxSCMz85O566KpKIost//1Wwf4xj8285evz2Hl1JBlG4MO1btd1dpJZYu1x32tKApv7K7mzHFpISsuJ5sSeeqL8pBBdWdFK512Z5D+DT5ecHM3CvJ3GJvmf8EWQnD3RVO58KEN/P6DQ/xyzTQsNgc1bV1BFkIVU3OSsDlcvLitkli9NmTzsomZCcTqtew+2cZls/PDfvf+4rRh4CAXldVqBI5+6k1Ol0KsXuthPmpDKiGE3xTq/PPPR6/XM336dJxOJytXnUe300XJtGl+7WMvXXMx1m4nEyYVc+aZZ6IxxJGbbcJgMNDaGvkVWXrBwzPwow0W7E7F070Q4LwSefH5YL9MUh6sNSOE9NOqyE+TgbQyBLtvs9q5/52DzClI4Stzwx94pkQDde22kDKMWrDy8i1nMTU3iSP1Fs4cl+a3L+e6E5m+iccPD9QRo9WwdFImU7Kl/1dRFBrMNmwOFwVpcR6vtcpsa9u76Ha4WDNTTr19/eWKorDpaKPfzOyN3dW0WO1cv7Aw7HfzRV5KLCuKTfx760nPbMFsc9DtcIWWUJIN1JttnmIudZymJCPT85Ppdrp4eYe0cU7LkzOnwvQ4TjRaPRJKX1woIPXWJKOOjUcauXxOHv/+zkLOKExj/rg0lhebePG7C5mSnch3ntrG2k0nInIgDRS++QvVgRQOB2rMHG3oCJJPVFw6O4+4GC0XPrSBJz8/4XfMfXakEa1GcOb4YBasBvCmDptnAZKxIXrYF+ckcd3CQp78vJxNRxs9KyCFY+DqjHfjkUbmjk1FH8KYoNNqmJaX9OVg4JEy5Z5gdreaHZMWR2pc5Bpil10ulJwaH4NBpyUtI4vyk5VMmTCWmpoasrK8/Qx8W8zq9XpPsk2v0/q1j81JS6Jd0dHa5UCrlx0Hk2P1vbaZDUReSmyPuq6aCVc74QFMzEpgfEY875XWce3CQg7XmRmbFufHpPNSwjtcfvf+QVqs3Tz5rflBiRlfmJKMdNqllJEU0DqztKqNrEQDM8ek8NxNC3h5R6WffALSfjfJlMBzWypYMyuP3GQjH+yvY+GEdBIMOqZkJ/HclpPUm72e8DFpcV6nh9sBoxbBnD05k1d2VrG9vIWvzS8A4K29NXz/2Z1cOCOHP39tNkLA2s9PUJSV0KfWrNctLOT9/XW8vbeGy+fke4t4wmjgTpdCk8XmkZniY2RRyXQ3U3tlh2Ruaq/vwox4Nh9vptVqRyNkkrgv0GoEv1wzjW6HK6jfCshk3rM3LeCWZ3Zwz+ulPLbhGN9aPI4r543xlIkPNg7XWUiO1SMEfHGsiSt6IANv7qlGqxGcPy075OPT8pJ574dLuePlPfzPa6V8sL+OO8+fQklusmfGEXgMgvSBgyynV4urwi1C8rPVU1h/uIE7XtrDd8+eABDkAVcxMSsBvVYW34WST1TMyE/h6S/KsTtdIYP8QHBaMXCQFY0GnbbPycz2TjsIQUqsHoNOw7KVq3n6qScBWLt2LWvWrAn72i63hVCnCU50jEmLQwDmTjtOV3ABTyTITYmlrdMe1mFzoKadGJ3Gb6UQIQSrSrL54lgTbVY7B2vNfvIJQKJRT3KsPkjX3VfVxjObK7huYWFY7VtFljs7H6qt7N6qNk+w0mk1XHVGQUit+f4rZtBqtXPl3z/nowP1nGiyssI9xVfHfLDW7ElSqklM8HqrVWZVmB7PnIJUtld4L3hrN53AqNfw1p4afv32AXZUtLKvqp3rzirsUyOtRRPTGZ8Zz98+OUq3wxWyCtO7X/xnCPXtNkzui05BWhxJRh3tXQ6m5iahdR83henxWLudHKm3kBSr7/HCGQ6Xzs7jyjPGhP1e8QYdT9xwBo9cOxdTkpFfvLGf5b9f36/2vE6Xwj82HHFARPYAACAASURBVOuxYrWszsxkUyJnFKZ5vNKhoCgKb+ypZtHEDNJD7E8VWUlG/nXDGfzvpdPYVdHKhQ9t5Ntrt7L7ZGtI/Rv8JZTyJiupcfqQgR5ki44HvzqD6tZO7n/nIBoRmq2DTH6qMl2oBKaKGfnJ2Hyso4OJ0y6ACyFIT5BstznCrPvXvnY1F65cRvnRMgrHFvCvf/2T7/zXj1n38UcUFRXx4Ycfcuedd4Z9vc3hRAjhORF9EaPTkJZgwOme7gWW0EeC3BR54teEkVH217Qz2ZTo50UGOK/EhMOl8Pa+Gk40dngcKL7IT40NSpC+sbsavUbDj1ZN6nVspjBl49ZuB0cbLH5VpeEwpyCV525aQKfdyU1PyQWlVxTLGc8UNYDXtFPhLsDIS4nFqNeSEqf3BMjyZis6jSAn2cjcsakca+iguaOb0uo2tp5o4SerJnPDWYU8vvE4P3huJ4kGHZfPzut1bL4QQnDXhcWU1Vv46ydHemXgvvultr3L03pACMGMfJncmubj7il0X4B3V7b6tZIdbGg0gvNKsnn5lrN4/uYFmLvs3PL0jj6vIrT1RDO/eusAT2w6EfJxRVE4XGemyJTAgvHpVDRb/aTAe18v5apHPuffWyvYdLSJk82dXBwieRkIIQTXLhjLxjvP5fYVk9h6ogWXgqelQCCSjDpitBoaO2xUNHdQ0EPCGmDu2DRuWjoei81BQVocBl140lWSm0SMVsPsgpSwz1k2OYv3b1/KlOxgJ9dAMaIklMFCenwM7Z12qlo7Meg0PU4PFUXhd399nBZrt98KP8cbO3jixTc8/lMV9957r999i8XCsQYLBp2GX/ziF57tvlr4LTd9i8uvuoZWqx2DTtPjMmuhoEodJ1usQeNRFIUDNWZWFgcnpWbmp2BKMvDI+qO4FG8XNV/kp8YGLdN1uM7M+Mz4sCzFF+HKxg/UtONS8DDw3jAtL5l/37yAa/6xmTFpceS4F7NIiYvBlGTgUK0ZIQTZSUZPr4lst5UQJAPPT41Fp9V4dPWdFS28V1pLrF7LV+eOIdGoo8Fs4629NXxzUWG/ZINzp5i4ZGYuD6874skNhNbA/Rl4XXuX3zR7Wp6c9vte4Ma5A0tNWxcz8/u/mk9fsGB8Og9+dSa3PLODX7yxn/sui7wl7aeHpWXxnX21/HjV5KDH68022rscTDIlen6TzcebuGx2PqXVbTyx6QTJsXp+9rJcBzdGq2FVSWj5JBSSY/XctqKIGxcXsr+6nXlhZAyV1KkMfE5B70sX3L5iEhsON3o6IYbDbcuLWDMrt8fVfpJj9X12FEWK046Bg/zBCtLi0GsFFc3WoGIaXzRYbLRYuzElGf2WZzPoNNgcrl4rO63dskCjtx/IlGRkkinYTxoJJmUnkmTU8bv3Dge1DKg322ju6PZLYKrQaAQrp5o8BS6Ts4MPxryUOCpbOv2+5+E6S1Dfk3BQe4AEFtWo/nE1QRcJikyJfPyTZfzz+jP8tk/Jlnatk81Wxvi4GLKTjT4MvMMjz8zIT0anEXx4oJ7XdlVz6ew8kuOkJPH7K2dyz8VTuW15UcTjCsQ9F08lwaDjuS0n0WtFyN8+I8GARkiXjKIo1LfbPHITyDJujcAvmOSmGD0yXHIf8jcDxfnTc/ju2RN4dnMF/95a0fsL3Pi0rAGNkF7pIyHsfap/v8iUQHFOEklGnSeR+ccPykgy6vj0jnN45Xtncc2ZBdy+clK/Al2iUc+Z43vOZWQkGKht76S6tZPCCBbhNuq1vHrrIn5/5awenzcmLa7PvfUHE6dlAAepuRamx+N0KZQ3WXGFCMTtnXZq27pIiY3xa0YEMoC7FAW7s+cAXtvWhU6jCarGC4X+BG+QXvA/XT2bg7Xt3PnKHr9gq1aCFeeEDpSqGyVGqwmpP+enxtJpd9Li9r522BxUtXb6NQPqCfEGHYkGXVBHwr1VbWQkxHikhEiRYNCRHGCfm5KdyJF6C8fcyWkVkoFLB0x5o7c4w6jXUpKXzPNbK7A5XFx/lnftQqNeyzcXjfOrtuwr0hMM3HNxCSD171C/q1YjyEw0UNveRYvVTrfT5ZFQQE6rv/jv5Uz02c86rcZTIThUjC0cfnreZBZPzODu10ojKvhpstjYV9XO1e5E8bshWjKomu8kUyJajWD+OKmD76ls5cMDddy0ZDzJsXrmFKTy68umc8uyCYP7pXyQnhAjKyIVepVQVMToNCFl0ZGE0zaAgzxZ81JisXY7gnqb2J0uKpqtxMVoyU+NDToJVd2rJ13Q0iUTi5mJhiH/oc+ZnMWPVkzitV3VfpqjuvLLlDABfMH4dJKMOiZkJYTMgKuebDWRecTdvCdQqukJpuTgYp59VW2U5Cb3+6Lli8nZiXQ7XTRabH4l0KYkI00dNhrMNsxuvVLF3IJUFEW2FR0K7XHNrFzOn5bd48LF2W73ibpvAisEs0Jc3FQdfCg18FDQagQ/XjWJboeLDSFaBgRCbSvw1XljmFOQwjshAnhZnYW0+BgPuTlzXDrHGzu4+9V9pMTp+ebicYP7JXpARoLsXQ/hk5KjEad1AAfcFibh+fFUtHfacSkK+alxIbP9ak+TcIsTK4pCbbsNvVZDevypme7ees5EVhSb+NVbB3h843Gs3Q4O1LSTnxoblrHptRr+5+ISbj0nNLvJS/X3gpd5AnhkDBzca2P6BPAuu5OyekvE+ndv8HXPFKR7i4Cyk40oCmxzWyx9ZxiqK+CGswoHZQyBEELw12vm8Mi1c8M+xxQQwAP7aYSCGlz6WsQzGJiRn0JKnJ71h/zb0p5stnLt45v93ErrDzeQEqdnel4yq6dlU1rdHtT693C92W8mp1pId1e28Z2lE/x6/gw1fGfIY9OiAXzUQKMRxMdogyx47V0OYnQaDLrQu0Cnka6ScAG83b0SjSnJ0C+7V3+g0Qj+cNVMzihM5X/f3M/C33zMp4cbwsonKr4yNz9scYRaGac6UcrqzFJu6cNBbko0+rlQDtaacbqUPunfPWFiVoJnhhOogQNsPiZLmX2Z1aqpJp67aQGrw3iKBwOBBV6BUPu1qAE8K7F3OUm1gp5qCQUkC19SlMn6ww1+rQie2VzBhrJGfvOOrJJWFIUNZbJtq1YjWF0inSO+MoqiKBwJyKVMzU0i0aAjPT6G6xZ6Za1TAXVptVi9NmTSebTitA/gIJcr67I7PZV4LpdCh7vwJNwJKITAoNNiC+ivrCiyOKOqxYpBp+1TsdBgIMmo5/mbF/LyLQs5c1waZpuDMwp7z6qHQ3Ks7LWisivVgRJoSewJWUlG6s3exlJqBWZP8kJfYNBpPc2eCgI0cPD2YvZ9TKMRLJyQPigSTn+RnWykvcvhSSJnRcDAC9OHL4ADnD0pk0aLzbOmp8ul8PquKgw66aPfeqKZg7VmGsw2j22vID2OqTlJvOPTPK2mrQuzzeHn4tBqBPdeUsKDV84cssKhcFAZeEFa3LAeE4ONL0UATzDIk0Fl4RabA5eikGjUoSgKixcv5p133vE8/8UXX2T16tUeJ4oKS5edsjqL256oZWz68B0Mc8em8eh189hx10puXDQwLVH2WvFKKH3Rv0FKA3an4kmElla1kRKn99gfBwOTsxMx6DR+7EkN4AdrzX72wpEC1WK5t7KNNHeFb2+YkZ/MzPxkZo0J7yseSiwtksUw690Wwa0nmqlu6+LeS0rISTbyyzf2ex5bUuQtnDl/WjY7Klo9sw01gRl4LF0xN59zhnCV9nBQqzHDVWCOVnwpArhRr0Gv1WBx9yQ2d9nRCEG8QYcQgr///e/86Ec/oqurC4vFws9//nMefvhhDDoNdqcLp0uhvdPO8UYrLhTGpsczPjM+ZMDoS4n8YCA1YDGB/iA/VVoJO2wOKls6mRShA0VFoBdcrcAczIvb95ZN5LdfmeH3nilxek/TspF4YqoXmD2VrSGbM4VCSlwMr31/cZ8vooOFrCQjU3OSPDr4q7uqidVruWRmLnesnszeqjYe/vgIk0wJHq8+wPnTpVT10EdlKIriaWIVqR11qKEy8NNJ/4bIV+RJEUK8JIQ4KIQ4IIRYKIRIE0J8IIQoc9/2fx4/xBBCkGDQYbY5UBSF9i4HCQYdGncwmDZtGhdffDEPPPAAv/zlL/nGN77Br3/9a84/dwlXrl7KMy+8TEWzlcbak3z7qxdyzqIzmTt3Lps2bQLgk08+YcmSJVxyySVMnTp1OL9qv5CfGktlS6ePA6WvAVyeHD94bifXPr6ZQ7XmXkvw+4qpuUmsmeVfOakW9sDIPDHV/dLe5YgogTlScPbkTE//8Lf31rCqxES8QceamXnMHJOC2eZgaYD3eWJWIt9ePI5nNldw7+ulHKozk5Fg8FtqbjghV+DRUDJIeZle0VIOnzwgW6QOISIVov4EvKsoylfcq9PHAT8HPlIU5X4hxJ3AncCAulHV3ncftgP9bycbCobiKWT//OckGnW0WLtpsdqxO11BJ9Q999zDnDlziImJ4aKLLuLcc8/lr488xrbDlVxz8XJe/XAxcycX8uEHH2A0GikrK+Pqq69m2zZZ+r1jxw727dvHuHGnzho1WMhPjcVic3jcHH1lfyW5yVw9fwxVrV20d9qZmJXAeSWnpl1pdrKRimbriLSGmXxsg6YIEpgjBWdPyuRvnxzlvrcP0NZp51L3hVOjEdxz8VS+/tgXHsbti/93YTFCwGMbjqNz+75HCpLj9Gz42TlkxJ+iC+nOp+HT38L0r0D60Pnbew3gQohkYClwA4CiKN1AtxBiDbDM/bS1wCcMMIAPJVTLklp6nRhQJh4fH89VV11FQkICL7zwAm+88QYPPvigTH7abGg6mlDSY7npplvYtWsXWq2Ww4cPe14/f/78URm8wesFX3ewvs8OFJB++99cPmMohtYrPAw8wuKMU4lEg86zNqopefQE8DkFqcTHaHlxeyVp8TEs9tG65xSkUvqL1SHrHoQQ/PyCYrQaDX9ff3TEyCcqInEBDRpqdsvb1vLhDeDAOKAB+JcQYiawHbgNMCmKoqada4GQlEsIcTNwM8gFDnpC9s9/Htmo+wGdVkOsXkun3UmsXhuyqEWj0aDRaFAUhZdffpnJkyfT3mXHqNMQo9Ny7733YjKZ2L17Ny6XC6PRe0DEx4+8ABIpVCvhluPNfXagDDdUK+GwM3BHNzi7weCVn1SJ51hjx6iSUGJ0Gs6amMEH++u4aEZO0LnSU9GaEIKfrZ7MtLykiHqOnLaoda9y33JiSD8mkjNVB8wB/qYoymygAymXeKBI/1hIsUdRlEcVRZmnKMq8zMzh6xkA0k4ob3u2aJ133nn8+c9/RlEUkox6SvfKH6OtrY2cnBw0Gg1PPfUUTmffureNCLic8s8Hqluk2+nyK+0eDSjKSiAuRuupYBw2fHgvPL4yaLNqHexrS4HhxrnuxZcv62PHRpBB/KIZuZ71XL90MNeB2c1tm3teNHygiCSAVwKViqJsdt9/CRnQ64QQOQDu2/qhGeLgITlWj0aEbj7ki7vvvhu73c6MGTMoKSnh7rvvBuB73/sea9euZebMmRw8eHB0su43b4fnv+63KSVOT7y7T/lIm/b2hsvn5PPpHedE1DlxSFG1Der3Q1e732Y1cEfqQhkpuHLeGF69dRGzT1cWXfYBWBp6f15/oLJvxJAz8F4lFEVRaoUQJ4UQkxVFOQQsB/a7/64H7nffvjakIx0ExMboeiwu8W0V+8gjjwQ9XlRUxJ49ezz3H3jgAQCWLVvGsmXLBm2cQ4raPWBt8tskhCA/NY5DdeZe22eONGg1IqJGYkOOxjJ523AQxsz3bFa170iKeEYStBoxbF70QYO9Cz76BSz6IST6KLz2Tnj2Slj6UzhnCGRbVf8ec+aIkFAA/gt4RgixB5gF3IcM3CuFEGXACvf9KEY6zLVgDV6eTe2J0tNCwFGEgbUZOt2rzdTv93to1VQTl8/OO3Xuhyi8OPoxfPFXKHvff7ulHhQXtFUOzefW7IbUcZAzQwbwIbQSRmQjVBRlFzAvxEPLB3c4UQwpXE6w1MmD12EDnU+Dn/Q4DDpNRL2SowhA0xHv//X+Nti5Y9OYO3aI7XTbn4D0iVC4eGg/Z7Th+Hp52xGg7na4pZP26qH53No9kDMLUgvB1g6dLRA3NMfAiLAb9LZowpcFQ74fVOYBkjX64HvLJvLsTQtGlQNlxECVT2LTghj4kKO9Gt78EXwSnQAH4Zg7gAdq3WoAN9cw6Ohslaw7Z4YM4DCkMsqwn61Go5GmpqYvfRBXFIWmpiY/a+Kgw/eA7fQP4JmJBs+yV1H0EU1HQKODopVQf+DUfvbOZ0BxQuU2aWWMQsJcBw3u3yKQgVvc94eCgdfK5eHImXlKAviwr4mZn59PZWUlDQ1DlBEeRTAajeTn5w/dB5h9mu4HJDIjgtMhvc4xUZnFD01lUvPMngF7/g0dTRDf8xJfEaF2L7z0LbjgdzD+7ODHXS7Y+STo48HeIafu+aGUzi8hjn8qbw1J3oCtQg3otnawWfy8+wOGmsDMngl6t43ydA7ger2+9wrGjiZor5RXtSj6D18GHiChhEXlNnj3v6G1Qh74Qgu3bh7S6rJRh8YjUoPOmiLvNxyA+AHq0XX74ck18kJ7YmPoAH5snfxdzvsNvPffUL4pGsBVHP8EjMkwdrF/jgKgw2fFIXMNGPq/PmoQavdAYi4kuGte4jNPbwklIvz7GnjlO8HZXHvn0CUiTkf0lYF3tsIL18tsfdEKWHQbuOxQ+srQjXG0weWE5mOQMRGy3I3MBiqjNByCJy8BbQzEpUNLmGKQ7U9I3f2Mb0HaeKj4fGCfe7pAUeDYp1C4BJJywksoMPjxo2a31L9VpBZGAzgzrpSspnqH//a3fwp/XQjdHcMzrtEGczXEunXuSBj4Wz+WDOWqp2HNw7DiXsifD/tfH8pRji60nQSnDdKLIDEHDMkDC+DmWlh7MQgNXP8mmEpCV/NZ6uHQ2zDr69JNVHAWVHwhZZUvO1qOQ1sFjDsb4rOkC8Rp9z7e0SC3w+AmMrut0HjYXymIBnBg2hWgM8qEjQpLg9Qbu1ph/4ivIQoPSz2s/63/ARYK5tqB+0nNtZAyFmISg5KYQdjzAux7CZb9N+T7rPs49RI5TRziEuFRg0b39DyjCISArOKBBfD375YB59pXJatPHRc6AOx6BlwOmHO9vD92ofxNGw8HP/fLBtV9Mv5sr5TR4ZNjs9R7WfJgMvC6Uunyyg5g4G2VvZ/f/cToCODGZCi+WAYUu3vx3O1PyIRafBbseGpYhzcglP4H1v0aDr0T/jlH18Hvp8jnDgTmWkjKhbjUniWUlnLJvgsWwpIf+T9WfLG8PfBG6Ne2VcFDs+HIhwMba6Swd3kTRwOB0w5/Xwx/Wwzv/Ex+P3tn769rclsI0906alaxnC3252J7fAPsfUFWDprcckzaOLA2gs3s/9ydz0jWnTlJ3i9YKG8rNvX9c4cCe16Q0lIgKrd7bZdDhePrISEbMiZ5mbalzvt4R4MkMobkwWXgNbvkbSADV5xDVjQ0OgI4wKxroKsNDr4pT7at/4AJy2Hh9+RB23ik9/cYiVDZ1a5nQz9uM8PrPwCU4IqyvsJcA4nZUlftKYDvfErKUpc9ApqAVYdSCyXDCBfA379LnrjbnxjYWCPF1sfg0XMG3tfiyEfS9aHRwPa18O9vwAf39P66piMyEMS7W65mFUsG7RswIoHTDm//BFIK/C+aqhXNd8ZjbZYXjsmrvdvSxstgVfFF3z53KNDZCq/cBJv+EvzYSzfI5Gxn69B8tsslHSjjz5YzogR3Cb16fDjtcqaSkCXJzGAxcEWR53D6REj2cZINsZVw9ATwcWdD8hg5ddz/Glhq4czvwsyrpTNi1zO9v8dIhHpilr0fbHcC2eWu7aRMkB37pP8yisMmg3ZijjuA9yChNBySB15qmJXDp14ClVuCD/7jG2SCMzZNNguyWfo31r7g5GbJcAZaQLP3BZkf+NaHcGcFjFkgv2NvaCyTUoe61FtWsbzt63g2/132UTn/t177GUgJBfwTmep7m0q824SQMkr5CEhkqs2c6vb5b+9ska6Z9irpbBoK1O+Xx/k4t2vHI6G4zy3VgRKfKROcgxXAK76QOboF3/MeCxAN4B5oNDJhc3QdrH9AMo6JKySjLFoJu5+TPuXBwPFPh44hBKLlOGRMlkFo74sB49ggZxoLboH5N0sG3d/pp8oIE7NlgO2JgTcdkZpuOBSvkbcH3vRuczrgnTskg7z8MXB0DXzGEAmqdsrbhgGs5GQzw8G3oeQy0MXIv/x5UtPsTbtsOuKVT8DHiRJiPI1HZDfIwPe01MtKykmrYfL5/o+luQO4LwOvcwfwrBL/5xYslMm7oerxESmq3VJCXal/UrWuVN4WLITdz8p9Ptgo/0zeqm0FPBKKGsDdTDw+U9r9BktC+fwvkgDMvNp/e2KOdBN96QM4yACOIhM1878jgzrA7G/IH+LoRwP/jPJN0gWw7Z8Df6/eoCjyhy1aCXlz3VV1boZtM8Pr35cM7Ny7YfwyuV3t7xAKz3wVtjwW+rF294HaGwN3OaHpqJwKhkPmJMicAgd83Chb/yHZz3n3wYRz5Imz/9Xw7zEYsNTL+gAYWOLw4Fvg6ITpV3q35c6WOZaeLgzdHZJNZvjsq/gMiMsIzcA//4s8rtQAp+LoOui2yIRxIIzJ8oLrx8BLwZgiL8a+8OjgwyyjqDmJbgu0nvBuV6sUr/gHmKbDG7dFXo8QKco3yZm6OnuMiYOYBG/gVpl4QpZk4Ja6gRO/5mPyGJr3reAiN41WkppoAEdORwqXSBfFLJ+e1pNWyyvqzgEmM10ueNe9VkVr+cDeKxKYayVTTS2U36e+VE4/bRYZjFtPSvteTJxkYikFUkYJhc5WyXi3/iPMZwUE8G5z6NJr1RbXEwMHmcws/0xWCj7zVfj4f2H8OTDlInnQFl8Mh98fWotntZt96+MHxsD3vADJBbL9pwo1ERUYbH3RdFTeBl7sQjlRXE5v3iDQDlu9A/RxYJoW+nPSApwodfulfCICVsYxTZPnxs6nvWMbDtTsgiS3DlzrI6PU7pPnaXI+XPZ3Kal8GEGeIVIoigzg6oVMRXymdwZq8WXgOdI1EugT7yu++LtspTD/ptCPD6GVcHQFcIBL/wrXvw5Gn9WltXqYcZV0cgxE+tj9nGQP2hjpphhqqD9q6jgouVx+7pbH4Nmr4OQW+MrjULjI+/xxZ0tZxRViJSA1YDQcDH3yqkU8iTnShQKhrYRqMji9lwA+42vyRKzaLplw4RK46I/eoFJyqWS1ZR/0/D4DQdUO6ZeecqFkvP3JD1jqZUXj9K94Z3QAaRNkMOzJ4RLoQFFhKgle3KH8M+kmAe+FR0X1TpkY1oYpjE4t9EooiiJ/a1Wq8YVWBwu+K2dpf54D/7rw1LPxrnYpK828Sv42vjp43V7vRSp7Gkw6b3A1+6ajMhiPPct/e4IpWEJRk5jgnZ32B50t8oI5/avBMyIV0QDug5QCyJsTvL34YumLDWSoNot0FfR2ctsssvl7/hkwceWp0RHVaXHaONlucvIFchZRsQkuf1Rqsr4YvwxsbaFZYX2p9/+DbwU/bq4BjV5+Tpy7T0eo6asalDIm9Tz2jInww71w2y74znr4+vNevRZg7CIpJQyljFK9U+YP8udJh5JvpWmk2PeKZGEzrvTfrtFIr3BNDwy88QgggtsKzLgS7FbY8aR3W+mroIuVFzrfAO50QM2e0Me0itRxXi9x20k5ezKFCOAA594Ft5fC8v+Rv+Wbt4d/36GAKpOMWSBnJioDd9plXiB7uve56RNlYAtFSPoD1UI5dpH/9oRMfwlFZ5SyihrAzWESmTazLM7pCRt+L/vQLPxe+OekFsp6lc7gPvwDxegL4OGQN0/qgoGJsy2PwBs/kEyxJ2z8o5xmnfcbSBkjtc2hRssJyVKSx8j782+ScsClf5OMMBBqZv34J8GP1R+QdjbTNFmhFwhzrWTfQkhNFUInMhvLpO4anxH8WF/gkVHekxfHyu3w6YOw7jew+REpW/Qn4KpQFCk95M72Oj8a+qCDd1ulFLHrGanHqu/hi5yZMgCF00hr98jfTh+w9mPeXNmD44u/ycClyieTVsnkWsMhr6+74aCcqeTODj/WtHEyyd1aET6B6YukXFjyYynLNZb1nIi1mQfHR69Cfa+cmXImUucO6I1lUprzC+ATZGuGtpOD89nlmyRpCJT/4rO8DNzirsIUQiYxITwDf/Zr8MxXQpM/RZHH8qY/w+xr/b9XIFILpcQyBG0/IgrgQogTQoi9QohdQoht7m1pQogPhBBl7tvh7UWq1cHE5XLK7pv53vuyvO3J1tVeLX+I6VfCmDMgKU92KutqG9oxNx+XWqEuRt4vXCwtbDO/Fvr5CZnyxD0WIpFZt18GoSkXSWtdoC/aXC2TNuDDwEMF8MNSEgjUV/uDkkslE32wCP5xrtTJ198v3Sqv3AQPn+k/W+hqg/W/g23/6v292yolq8qbA5mqdS8CHbyzFf48F+7Lgb8tlEF41tWhn5szSwbXUNWN5ZtkTcLUS0K/dtEPZIJ13yuyR0lHPUy9FHLnAIpk3eDVw3sK4L5WQnWmFeqCE4isqTJA9qSHf3I/PLZ88I71ml2SKCSaJJlorZDvrUopvjp/mnvm0h+9vq5U9unxLXAq/0xaKQOP3YQsKRc67fKYUa2FcelyVhqKrDls8jwq/yxYBlQUWXy3/n6Y9Q24+E89j3XSarir3t/2OUjoCwM/R1GUWYqiqO3O7gQ+UhSlCPiIgJXqhwVF58kTRZ321h/wHvANh8K/7rOHpPxy7l3yfrJ7Je6h1sFbjgd7rcPpoCrGny11Td8qQUWR39M0FaZcICWBw+/6v85c69Xo1AAeSgPvzULYF4xdDMWXyMB1xeNwx3G4uwl+egxusnHLuAAAIABJREFU+lh+9+e/Dm/fIS+gf5oJ634lp/0nPuv5vVUZIneOPCHj0iNj4Cc2yu945i1yTDd9LP8PBTWRGchQ7V3w+n/Jar5waypOXCmdOpsecssnRiha5Q3U6vird8qWp2k9dHf0tRLW7ZcJV98cUDhkursj9kReyj6QQb5ic/jn9AU1u737TWWldaVSWtHG+B9bqvQUqmJTRWtFaElw8yNSnvvsIXm/rVI+N1A+AZmwBBm8O+q99zUaebEJZSWsK5X7RWgk8fBl4esfgE9/B3Oug0v+HFzsFgitvvfn9BMDkVDWAGvd/68FLh34cAaIicsB4b1i7n3JK1GEs5lZGmTV4IyrvMFUlTQGU0Y5+BZ8+Av/A6HlhL9uHAnGL5NT0ZM+J1x7tWQ5WVNlMix5TLCMokoo4F3eKZCB28zyYO7JQtgXaHVw1VNwmVsSikuT2+LTpczwrQ9k8NzyiKzgzJ0D33xHTjn/892gFd79UL1DTktVVpNZHBkDr/gctAZY+Qs5pry5/slLX2QUSXdIoA6+/gF5Ebj4TxATH/q1Gg2c9V+See5YK62ihgR5sUke42Xe1TtlwAs3BpBl4VqDPF7q94fXv4PGP0ke/+EcOq0nodFNbMp7uWBGgu4OdzOnWfK+yrZr98kAnlUsg5mKBJOUDHti4J8/DM9fI4OzCqdDzn4Q0prZXuNNhgY6UNTPASmjWBq8ARzCF/OoF9iz75SzNNUyu/MZ+OQ3knlf9Keef7dTgEg/XQHeF0JsF0Lc7N5mUhRFvXTVAqZQLxRC3CyE2CaE2DbkizbEZ8iEVtl7MlDuewnGLZVZ6XAM/Iu/Siufb/lyksrAe9DmXM7IO7/tfFqWZm/8g/dgtZklI0jtYwAfe5ac9vlO69SLU9ZUOX2ccqFc0FW18NksUhJSGbjOIJM4gUlMtW/yYDHw3qAzwPn3w/VvwDffhWtfkd/vskek/NBTtV7VDhm89e4VjLKmyEDVW7K64gsZtH3WAw0LjVaySF8GXrMbPvuTrD2YcE7Pr5/+VRl8nd1yFqIid5YMEA6bDG49JTBBBonUQqkjNx4O7UAJBb1RFryFIy9q3USCSUpCA0XtPjn7Uxl4Uq4sbqnbJ/9MATqxEHJ8PTHwlnJAgV3PebdVbJLkY+UvpCzyyW/kBSgmMbQWneBTzGNt9N6H8Ay8eoec1S35sbwQfvxr6dd/4wfSLnvx/w178IbIA/hiRVHmAOcDtwohlvo+qMj10EKeOYqiPKooyjxFUeZlZmaGesrgomiVPLnL3peMZdpXIHOyDAiBjK6zRdr2Si71D1qJ2bI8vycJ5ZmvyCn/3pd6DhqbH4XXbpVBA7xNnlrcPnO11DZSGBKlVu4rkagykcrMJl8gL0pH18n7nirMHO9r4tKCA3ikFsLBxrilUrtUUXAmLL4ddj0ts/wb/09KFu/fLS9GiiKdOLk+gS9zirxI9ZQo6rZKNl2wIPKx5cySerXLKY+Xl2+SRGHVr3p/rc4gA0BchrTMqcidLYNW+Wdymt6T/q0ibZysEHY5Ig/gIPdLuAB+5CNJVmZ+TQas3hwXvUGdqeS6GbgQkoUfXSfJSnYIn3v6eGjugYGrzHvXM17CtP81OTM64yaZ+N/5lJzhFiwILVWojLvxkNx/fgw8VzL4wHO4epf8XbQ6KZM1HpLnfHoRXLnWfyYxjIgogCuKUuW+rQf+A8wH6oQQOQDu2wG64QcJRasARXbT08ZIJ4Sa5Apk4Vsek5asJT/2367Ryh82nJXQ5ZJMzlILL38L/rHCa5/yxc5n4J2fwuQL4Ya3pM7pCeA+FsK+YvIFki2rZfV1+2VGXe31PfYs6cjZ7WYtvkU8KkKV0zeVAW5WNNw4+07J5D76pSz2OPiW1MkfO0c6Omxt/szV04OkBx28aps8gUNNs8Mhd5a0idWVyql8y3GpncdGmLM/82b4SZm88Hre0z1uNVmb2wsDBzlTc7jzHpFKKCD3S/MxyfZ94XTIZPiEc2WuwuWAyq2Rv28oVO/yFsioyJ4uy/shdKFS2nhJtEI5fRRFBvDEHFlYV/6Z19FTtFIWuC39qWTeHfX+JMAXKuNWS/kDA7i9Q178VXRb5XGkXliL18hjMTYNrnlBurRGCHoN4EKIeCFEovo/sArYB7wOuJsRcz0wMppyZ8+QU8K2kzKRFJvis9SVjxbY3SHlk0mrQ0+7kvLCa+DmaumuOO8+WSnZWi4rEgOx9TE5nivXSjZWtFIm0eydPkU8hX3/jmoXOrUFbf1+f1eCVg8Lvy91wrIP/cvoVcSlBycxG8tkHkCVJYYTuhi47jW4+RPpzLnjmLzf1QYvXCuf48tcMyOwElZ8AQjpNIoUqhzw/DUygFz6Nxi3pA9fhOCptspQD74lg0JKQe/voV7oNbq+zZCyiqUFMbCHTtU2eRGcuELOeBADl1FqdssZi68LxDdoh2LgaRPkxaOtIvixrlZJsOZ9SyZ6dz3jdljVyeQ4yJnkErfXvXBp8HuAzFPEJHidMIESCvhbCWv3yn2mXlg1GinzfX9LZL/VKUQkDNwEbBRC7Aa2AG8pivIucD+wUghRBqxw3x9+aDQyUAJMv0LepoyVLgDfAF72gZwSL7w19Psk54dn4OrJkDlFaqFL75BTrAYfu1l7jdQ5Sy71TrcmrpAsqnyTdBQYUyJncr5IKZAnxuF3JXNpOBTMyhb9QJ7ob//Yy/Z9K8XiwjDwUy2f9ITYVBmkVcYz/mz47kbJGpPyvUEbZGI0PqvnRGbF51J+6Ms+z5gsj522Clj5y9D+/L4iNlUyT8Upv18klk31Qp8xyWs7jQSZYWYmRz6SCc7xZ8v9mz09skSmpQFe/GbwuWGzyPMrcN1aNcmcPCb0fu/JiaLKJ5mTYdrlUjrZ+YxM6PpKUmf9QOZQerowx2d6Z+CBDBz8yZrH4eRDEIzJ/TtXhxi9BnBFUY4pijLT/VeiKMqv3dubFEVZrihKkaIoKxRFGeSuNAPA3G9KKWWSu7ObRisP/MAAbkyRTfFDIdnNwEMlKtUArurmUy6Qtwd9emSrGvXkC7zbxi6SB9+Rj9wWwsI+fzUPJq2WjLJqu3SlBBZ26Axw0R8k09/0Z5nt953GBza0crmkBn6qEpj9RUIWXPsfuG13sOUya0p4Bu50yPYEfdG/QX7GnOtgyU9koBgsqMGhtwSmCjXZ3Rf9G6SjSKML3i9HPpTFb2pQKlwsJZRQ/XF88clvZMtg3ypTgCMfyAvS+GX+2zOnyHxS2D4vqhe8hwCeUiBdH3arzItMXOF/LGu04eUTFQlZMpkM3g6F4GXgvonM6h0y+ZzkM2MdoRj+NOpQIH8eXPOif2ewzCleduZyySTnxOXhfddJ+fIHV/tX+KKpTE7pVHtScr48IX3bqx56RzJ/1YsLcjyFi+TJ0x8LoS8mXyBPmM/cRQShCjvGLZU9S2zt8mD0ZXpx6XK7WqXXXiVnB4NlIRxqhPrdMoslywqVVK4vld3x+qJ/q7jgd7D87sEpblKhBvBIEpggpa3YtN4DVSB0MfI39Z2ZdDRJljlxuXfb2LNk4juwT4svGsu8C3WUBrRI2P+6TNYG9iHRG2USMFyjp4QsKW+ESmT6BvD8ed72DlPXhB9jOKisW2j9mXQoCaV6Z+QX1mHG6RnAQyFriteJUrtbJj2KVoV/vrqqRigrYeNheVL4ntBTLpJX7rYqqa8fXy+DbOBJP3GFlFuaB8jAc2fLC8iht+RUOHNy6Oet+pWc/qnWSBWBixs3BcwqRiNMJTJIf3B38GISalOnvgbAocLUNfKvMEI9XWeA2/fB3Bv7/lmZU/yLeY6tAxR5LKpQL2w9ySgf3ivbBpx9pzyG1YuC3d37fcqFoV0gS3/if7HwhRCSyITygrdWyOAemyqfN/9mOWv2lU8ihap7x2f45yT0Rikb7n5WHjNd7fJCFemFdZjx5QngqhbYeFi2OUX4H8CB6Kkas7EsuNmTulbkobdlQy1HV3BzfvD5TKXvHnBfaDTeAzltQnA/DhUJmTIBc/5v/bcHltMPl4VwMDHjSrn03qY/w8Pz5RqiKhuv+FzqsL7LXQ0nUgrgyicjq6hUERPfP+9xVrGc8XVb5f7Y/oT8/X2DVHyGDPThAnjFFzIpvuiHMO9GQHgblR1z9zMP11agN6RNCMPAT8r9pJKgM74NPz4kjQl9hTpb9pVPVFz8f5JQvXun2/OvRAP4iIPKUOsPSLaQN7fnhk3hqjFtFncT/4BAlzlZBr8Db0j5xJAcPJ0EGfjV9x4IAwevvt6brSxnpteJoyKwnL5qW+hFAkYT9LGy3fCN70m54cUb4G9nybUKyz/vu/59uiCrGM9CKHtegBMbZNuIQLY89ixZUh9o6VMU6cFPzJFJ/0STfK4qo+x/XR7v4VwgvSFtvGTbgU23Wiv8XR9C9N8hpUooCSFqUQoXy7qDnU/JKluIBvARh//f3pnHR1nd+/99Jplsk5B1sgMJkLATkEUWQcEVpYqiVkVr1XtdqtdaW1u11Wpva+vShba2L71tFX+26L2idcMVFQQBwRDWAAmBQMg22ci+zvn98czzZCaZyUxWMuS8Xy9ezJx5nplz8sx8nu/5LudEp2nZBIVbtcBfT+4T0KZtgaHdo+09VStOXqGlCR56HzIucp/sL5ws//74wEFbnTAsrm9+Xedy+pZ67cYz5aqB9fOeKcbM19IPV/5Ve/7ve7Sc/ZEq4Prs88Q2+OhRbcnkc77b/bgJF2tpe0c+cG0/8qG2P+gFj3TGlaas1AKjpfu1WefE5b3LjnEm1pFKWNMllbCrgPcHw4XioZjwgke0FMjjX2przfR3Nc4hYuQIuClAE919bwCyM9XQE0JobhSPAu5mvexJ39ICi01VnRkw7pj/PTjvwU5LvK8EhcEDe7Xt5XqL85rgue9oEX7nXY78nYBAbTz3fAWr12vT/ilXez/vbCRmnFbUtvEXWursit+7d8VkXKIF77tuy/fVn7Tv6szVnW2TvwUIbWXJ5pq+u0+gMxPFOZWwqUbLU+/vb0TH4kXAA4O0rd7MYVrA1E8YOQIOmiVib9Mupr7gTk9EpnZ3oVQc0YKG7qoVk2dpFZEiQLPAPfYjEy76+cBYu331izqvCb5nneaPd95S7GxBCO1arPi9lis+EgkI1AyOtkZtg2xPa1cHBMKc27QAvF7TcCpbm7Wee7dr5s+oJG1GU7hVS1Edv6zv/dNzwZ0DmXrywIBZ4LoLxY0PXCcuQ1ud8rLhUdLiCyNLwHU/cMbFvoneKDfFPBV5jsIgN4shmUzaoljz7xmWSf8umEO0H17JHm2btqwbzw73icI9KbM118AFXlZ9PudWbbG0XX/Xnm/7s5Yye853uh+rL9CVcbHnILovWKyOVEInC9w5hXAgiBqr3YQmXtHzcfGTNR+/nzDCBNwR7PPm/9aJTNGWYXUOrlTk9ZxqN+8/4dJf9b2PQ0lYrGNZTul5EwnF2cHlz8I9W10LYNwRbtWqh3P+paUJHvg3zL7VfbbM1JWa+M66pX99M1YldLLADQEf6/6c3mIKgOVPa1sBDgHHTh/jN1//ho6B2i7OAyNLwDMu0RYi0lP+vBGZCsjOFe7sdseGB172i/QXwqK15T/Hntd9YwnF2UVgsO8pi3P/Uyvy+tf1mriee7f74yIS4aH8nt2FvpIwVUsu0CtBa05oM0Q92O5nfHz8Y/6Z+0+KGwZ+GzVnRpaAmwIcu4/7uDuGXvyi+8Fri7RqRX8udnFGD2Qq61vhzOh5mp+8plDbWHsocuenrNQCrAWOJZBrTmh70/qpW6+kQavstDUO7h4II0vAe4seAdeLefS9Ef252MUZi1VLlexLabLi7EUImH+vFoxf+F9D85njl2lxo33/pz0fyBTCM0BxvWZ5lzcN7irbXjZgHOHo1Zj6tlMVPaQQ+iNLfqylhvWmGlAxMsi6QRPVoQroBQZpVvje17WlKGpOaDMBP2WoLHAl4D0RZIHR82Hzc5oPsbZYW1fET5L8vRI3YciCOgo/Q4ihz8aYfh1885Im4s01fmuBSymVC2XYcMubmt/8s1/CN2sdG8X6p19OoRgq1h5Yy+EqD/vQemLMAi3upK+w6acCXtVcRUuHtgPSYLtQfBZwIUSAEGK3EOI9x/N0IcQOIUS+EOJ1IUQf62iHOUEWuOZ/YPmzWgFP4owz3SOFYljT0tHCc7ue4828N3t3oskE01Z17lYV6Z8CrlvfMLws8O8DzqvCPw38Xko5AagG3OwpdpYghLa34ff3aDth+zFPf/00D2166Ex3QzGA/MdH/8Gfd//5THfDQBet8sY+WJ/Tr+t83E8LXErJO0ffoUnfS3SI0AOYY0eN7dvfoBf4JOBCiFTgCuBvjucCWAa84ThkLbByMDo4rIhM8V4IMcz5puwbdpXtOtPdUAwQDW0N7CjdwaaiTWe6KwYVTdomKO7E63DVYU7Ve9hrFrT0xbiJWnZUP2NNB6sO8tMtP2XjiY39ep/eolvgWdYsbE3DwwL/A/BjQN9fLBaokVLq604WASnuThRC3CmE2CWE2GWzDe5gFN4payyjoqmC1g4vW2cpesXGExt5Puf5AX3PutY6rn77ar4u+drjMbqfOa86b8gtTU/owl3aWNrttYc2P8RvdvSw1ogQ2lK3i+7vd6yp8HShS390pJQ8teMp9tr29uv9PVFcX4zFbGFc5Dga2hpoaGsYlM8B33alXwGUSym/6csHSClflFLOkVLOsVo9rASmGBKa25upatbW/y5t6P7j8kdqW2v5/MTnZ7obvHboNf62928DKqJbi7eSX5PPtpJtHo/JrdK8mh2yg0NVPWzoPIToVmdlUyXt9s61xe3STlFdEYervQQ3p1ypbcPWT07UaeX4+oxAp7a1lnWH1vFp4af9/gx3FDcUk2RJIj5MWzhrMP3gvljgi4ArhRDHgdfQXCdrgCghhJ6GmAr0MC9SDAfKGsuMx86BFl8obyzn6a+fZtU7qyhrKPN+whDx+qHXuf/z+7v9SIcSKSWHqg7RLts5WHnQ+wk+sqVoC6Ctq+GJ3MpcQgO1haT22fYN2Gf3B12wOmQHlU2VRntFUwVt9jZKGkqoa60b9H6cqHUIeJd9bXWL3Nt3pqKpgurm6l5/bmlDqauAD6IbxZdd6R+RUqZKKdOAG4DPpJSrgc+Bax2H3Qq8PWi9VAwIzla3HmjxRmNbI7/c/kuWr1/OukPrOFJ9hPV5612OKaorYsVbKzhQcWBA++sLedXaXp4l9b27IbmjraMN6W5DZC+UNZZR01IDMGDTcru0s+WUDwJelcs5CeeQaElkf8X+Afns/uIsWM7uC+fvXH5N/qD3w7DAm12FWr/BeBPWB794kEe2PNLrzy2uLyY5PBlrmOZxGMxAZn/ywH8CPCiEyEfzif99YLrkHuepmKJvOFvdvlrg6w6t4/XDr/Ot8d/i3avfZVHyItbnrXe5Hi8feJnC2kI+OPZBD+/kmbUH1vJW3lt9OvfoaW0FO3f+1t7Q2NbIpesv5ZWDr/T63NxKzY0RIALYY9vTr34Y71mVS2VzJcmWZE7UnaDN3tbtmJaOFgpqCpgcM5npcdPZVzF8LPCQAG3rM0+zPv3GO5joFnhXF4aem92TBS6lJK86j+yybLd/e080tDVQ21qrWeChw8OFYiCl/EJKucLxuEBKOU9KOUFKeZ2UsmVwugiPfvko3//8+4P19mcNz+58tkd/sG6BRwVH+Szg20q2kRmdyRMLn2B0xGiuy7yO8sZyviz6EtCKFt7O1yZfW4t72NHcA3Zp54W9L/DMzmd6Hexpt7cb1ml/ffobT2zE1mTrU8bCoapDCATnp57PHtuePlnxXdHdJzdOupF2ezun6rp7KPOr82mX7UyOmcy0uGkU1Re5TPnfL3ifd4++2+++9BZbk43Jsdo2bs4CrlvgIQEhgy7gta21VLdUEyACXNw40CncXdudqWmpob6tnqb2ph4Lktrt7TS2NRrP9TEmhydjMVsIDQwd1GIev6jEtIZZ+erUV938UW32Nmpba89Qr4YWb+sKn245zSsHX+H1I697PKa0oZSYkBjGjhrrk8uhub2Z3WW7OTepc6eeJaOXYA218kaelkH62qHXaO5o5qrxV5Ffk9/r6eLx2uPUtdZR31bfayu8qK7IsI76K+DvHH0H0Fwg9a31vTo3tyqXsaPGMj95PhVNFb3uy/HTx7nq31e5uKC+PPUl02KnMTthNuDejaIHMHULHDDcKI1tjfxq+6/4+75BnRi7xdZkIyMqA7PJ3M0CHxU0ikkxk8irGVwBP1mr7egzOWYydW11NLc3G6/p39HqlmqP1vXJupPG4+yybI+f8+LeF1n59kpjRqobRkmWJIQQxIfFDx8L/ExxefrltMt2Pin8xKX9uZ3PseLNFZxuOX2GejY0lDaUsnDdQsPSdYf+499bvhe7tLs9Rg+uJFmSfLLAc2w5tNpbmZ/UuRmw2WRm5YSVbDm1hYLTBaw7tI4LUi/g5ik3A/BV8Ve9GZrhM06yJPFq7qu9WgD/aI3mPjEJU78EvKS+hB0lO5ibOJcO2cHO0p29Ov9w1WEmx0xmhlWr0u2tG+W1w69RcLqAn239Ga0drdQ017CvYh/npZ5HWmQaAMdq3Qh4ZS4R5ghSI1KZEjsFgTAE/L2C96hrq6OkoWRAZgS+0tLRwumW08SHxRMfFt/NB54cnkxGdAZ51XmD2i/d/31OwjmAq7vEWVA9WeG6gAeZgthdvtvj5+SU51DSUGIcoxtGSZYkAKyh1mHrAx8yMqMzGRc5jg3HNhhtp1tO82bem1S3VPM/e/+nh7P9n40nNtLY3sivv/61x+Dj3gpNCOva6iioKXB7TElDCYmWRJLCNQH3JPQ624u3EygCDStQ59rMa5FScv9n91PTUsNt024jMzqT2JDYPgl4hDmCh+Y+xKn6U3x28jOfz9X939Nip/XLB/5uwbtIJD+b/zNCAkLYXrLd53NPt5ymuKGYiTETyYzOJCQgxKOASym7CUZLRwvvHn2X9Mh08mvyeWHvC3xV/BV2aWdxymIigiKwhlrdWuCHqg4xKXYSQggsZgvjo8azr2IfUkrWHVoHQGN745DOUnWhjA+LJyEswSVjqaShhCRLEhOiJlDbWjuo2Rm6/3tm/EyXfoHmAxdoOebeBPyC0ReQXZ7t8Wajfwc/P6m5Losbigk0BRoBTGuY9cxmoQwHhBAsT19Odlm2YWm9mfcmzR3NnBN/Dv869K8eq7ucfVT+yOaizSSEJSCl5PGtj7sV3v0V+4kwa1WiObacbq9LKV0s8DZ7W48+QIAdJTuYbp2OxWxxaU8OT2ZRyiIKawuZYZ3BrPhZmISJBckL2F683aV/OeU5Pbok9tr2Mt06nWWjl5EansorB3wPIubX5JNsSSY9Mr3PFrhebj0nYQ7jIscxO2F2j3nXXdFzryfHTMZsMjMldorHTJS/7/87F/7fhS4C/9mJz6htreWReY9w5fgr+fu+v/Nq7qtEB0czNXYqAOmR6d0EvN3ezuHqw0yKmWS0TYubxv6K/ews3Ul+TT5LUpcAQ5vzr1u3caFxLha4lNLFAofBDWSeqDtBQlgCqeHaZhRdLfCxo8Z2a3fmZN1J4kPjWZC8gKrmKsOid6a2tdYY3+cnPtdWIawvITEsEZPQpDU+VHOhDNZswy8EHDQ3ikTy0fGPaLe3s+7QOuYkzOHpJU8TIAL40+4/uT3v4+Mfs+i1RQOSZnYmaGhrYGfpTpanL+ehuQ+xo3QHrx16zeUYKSX7KvaxdMxSooOjySnvLuC1rbU0tjeSaEkk2ZIM9JyJcrrlNAcqD7i4T5y5YaK2i88d0+5AOCrmFiYvpLql2sjK2Fa8jVs+uIW/7vmr2/dobGskryaPGdYZBJgCuHnKzeTYcnx2QRTUFDA+ajyJlkRsjbZeZQvo7LHtobC2kCvHXwnAguQFHDt9zGfR0wV8UqwmpFnWLHKrcrtVutoabby490U6ZAdP7XjKcBWtz1tPSngK5yady4/n/pjokGj2VexjYcpCAhw7R+kC7iwCx08fp6Wjhckxk4226XHTqW6p5nff/I6o4Chum3ob4HvK6ECgW5uGBd5YhpTS+P4lWZLIiBoCAa89wZhRYwxLWBdqKaVLkNWTgBfVFZEakco58ZoLxp0fXJ/pXpB6AUX1ReTX5FPcoN2kdKxhVpo7mqlrG5y8d78R8DGjxjA1diobjm3gi5NfUNJQwurJq0m0JHLLlFt4v+D9bkUUUkpe2PsC7fb2YVOl1lu2FW+jzd7GktQlrMpYxaKURfz+m98bU0SAU/WnqGquYkbcDLLis9wKoC5IugsF6HG/vl2lu5BIlwCmM+ePPp/3rn6PZWOWGW0LkhcAmh+8rrWOx796HIAPjn3g1rd9oPIAdmlnRpzmO756wtVEmCP458F/9vg3AS2oe+z0MUPAJdKnYJFd2vln7j959+i7FNYW8u/8fxMaGMoladpG1/oNy1c3Sm5VLvFh8cSEaHs3ZlmzaLO3GQFGnedznqfN3sZ9M+/jYOVB3sx/k5N1J9lRsoOrJ1yNSZiIDI7ksfmPAbB09FLj3PTIdGpba40qWv1zARcBnxY3DdD+rtdkXGP4z3tbtNUfdIvUGmYlPiyelo4WaltrXbIzokKisIZaBzWQeaLuBGMixhAdHI1JmIwbS01LDe32duPv5sm9cbLuJKMjRpMemU5UcJRbP3jBaU3Ab59+O6C5UUrqSwz/NzDo1Zh+I+AAy9OXc7DyIGuy15BsSTa+5LdNu43o4Gh+t+t3LlbKtuJtHKnWtkE7Xnu82/sdrjrs1mo7Un2Eto7eW3ODwRcnvyAiKIJZ8bMQQvDkgieRSJd8ZT1wNd06nSxrFsdrj3fL2HERcMcXrLTes5W5vWQ7oYGhhri6Q5+G6sSFxjEpZhJbi7fy7M5nKW9qNhPkAAAgAElEQVQs57apt2FrsvF1aff1PPQbjZ5BEWYO45K0S9hSvMVrMLOovohWe6sh4M5j7Incylx+8/VveHTLo6x4awXr89Zz8diLDTdRZnQmMSExbCv2zY1yqPKQi4gagczyzpvo4arDvJn3JjdOupE7Z9zJ7ITZrMlew9oDazEJE1dN6NzSbtmYZXxwzQdcMvYSoy19VDrgmomSW5VLSECIIdIAGdEZBJmCMAkT3574bWJDYgkyBQ25CyVQBBIVHEW8RROv0oZSw1jQZ396ILM3eEvp06lrraOquYoxo8YQYAogJiTGcBfqN5iU8BQigyPdWuBN7U3YmmyMjhiNEIKZ8TPJLu9ugefX5BMSEMKMuBnMiJvBx8c/xtZkMwwk0IKYzp870PiVgF+WdhkCwfHa49w46UZjihkRFMH3Zn6PHaU7jOANwD8O/IP40HiigqMorC10ea9DVYe49t1reeDzB1xSjP6272+semcVr+a+OiRjOnb6GA9+8aDbKjq7tPPlqS85L+U8Ak3aqgUJlgQuGnsRG45tMPq9t2IvwQHBZERnMNOqBW26+mH1H3GSJYmIoAgizBE9WuDbS7YzO2E25gBzr8azMHkh2WXZvJX/FndMu4N7Z91LuDmc9wve73bsXtte0kalERUSZbTNTZxLXWtdt/UyKpsqXWZReiXf+MjxJIb5LuAHq7RZ2vMXPs/PF/ycmybdxH9O/0/jdSEE85Pms71kO1JK2uxtrDu0zqiKdKapvYljtcdc/NDWMCvJlmQjqCyl5Le7fktEUAR3zbgLIQSPzHuE+tZ6Xj/8OuelnGfcgHRSI1INtxRoFjh0WnygfX8zozON7wVoGUKLUhaxYtwKksOTEUIYAeuhwtZkIy4sDpMwGdelvLG88/vnELeMqAwKThf0Kuvo/x38f3z7vW97vc66v3pMhLYcbVxonCHUzi6euJA4t3GgoroiAEZHaHvinhN/DoW1hd3EvqCmgPTIdAJMASwds5TD1YeRSOMmpX+O8+cONH4l4AmWBGYnzCY0MJSrM652ee36idezJHUJz+16jgOVBzhYeZAdJTu4ecrNjIsc1y0IpKfdbS7azL0b76WhrYE12WtYk63tBjJUZclv5r3JJ4WfcPOGm1mTvcbFd7qvYh9VzVVckHqByzkrJ6ykrrWOz05oGRv7bPuYEjsFs8nM1LipBIrAboHMkoYSAkUgsSHaTvSJ4Yke4wKlDaUcrz3u0f/dE4uSFyGRZEZncnfW3QQHBHPx2Iv59MSnLjdKKSV7bXsNi1VnTsIcgG6pfE/vfJqbN9xs/Ij0FEIXC9yHTJTcylwigiJYnLKYazOv5ZFzH3GxYgEjcPVW/lvc8N4NPLXjKe7beB8fHvvQ5bi86jzs0u4i4KBZ4ZtObmL1+6u55YNb2Fayjbuz7iYyOBKAiTETuWGSFkO4ZsI1XvucYEkgNDDU+A7XttZyoOKA4cd15o/L/sgvF/3SeJ5oSezxRj3Q2BpthtWpi1d5YznF9cWEBIQQHRwNwIToCbR0tLjkW3tjZ+lOOmSH12IrPQd8zKhOAdcFVHdlWMOsxIXFuRVWvU/6+XoqYtfY0tHTRxkfNR5wdXk5W+BxodqSuMoCd/DzBT/nLxf+xfgx6JiEiV8t+hUxITH86Isf8decv2IxW7g281rGjhrbzQLPr8knNDCUp857im/KvuGKN6/QrO+MVVww+gLD9TLYfFX8FTOsM7hy/JX8bd/fuP7d640vyqaTmwgQASxKWeRyzrzEeSRbkvl3/r8Nf6vu/wwNDGVSzKRuX7bSxlISLAnGrCXZkuzRMtOtzb4I+KyEWdw8+WaeXfIsQQHaJk1XjLuChrYGvij6wjiuuKGYyubKbi6aBEsCY0eNdRHw1o5WNhdtpqWjxXAdHa05SrIlmTBzGOFB4USYI3x2oUyOmexi4XZlQZLmy//5Vz+nprmGZ5Y8Q5Y1i598+RM2FHSmshoBzC4CvnryahYmLyQiKAKzycwlYy8xgr4698+6n18v/jVLxyzFGyZhIm1UmpEL/vL+l2lsb2RVxiq3xzuPLcmS1KOrzFea25v5uuRrns95nge/eNCjINmaOgXcGmpFIChrLNNSCMOTjL4ZmSg++sHb7e2Gy83bKoK6Ba5b0M4WuN7vuNA4l3ZndAHXz58SM4XggGAXN0p9az2lDaWGgI+LHGdY/M4WeJg5jAhzxKD5wP1uU+O0yLRuFpNOVEgUz57/LLd9eBtF9UV8d+p3iQiKIC0yjbfy36KutY6IIC3VLq86j/GR4/nW+G9hMVt4+MuH+e7U7/Lg7Af5y56/sLloM83tzYQEhgzaWGyNNo5UH+GBcx7gjul3cEnaJTy57Um+88F3uH7i9ewq3cWs+Flub1ZXTriSF/a8YAibsxDOjJ/J+rz1tNnbMJs0F0hJfQkJYZ2b1CZaEt369UobSvlD9h+YFDPJ+JH1BrPJzE/m/cSlbU7CHOJD43m/4H0uS7sM6HTxdLXAQXOjfHjsQzrsHQSYAthesp2GtgZSwlN4/dDr3DHtDo7WHGVc1DjjnARLglcBb7O3caT6CDdOurHH4xIsCVyTcQ2hgaHcN/M+woPCOT/1fO7deC+PbHmE7SXbMQkTe2x7iAiKICXcdSn8mfEzWbNsTY+fEWYOY8W4FT0e40xaZBp7bXupaKrg1dxXuSztMrcWeFeSLEnYmmy0dbT12h2mc7jqMDdvuJnmjmZMwoRd2pmdMJvVk1d3O9bWZDPqBswBZmJCYgwL3FnYxkeORyDIq87j4rEXe+9D9WGa2psYFzmO7PJsKpsqiQ2NdXtsYW0h8WHxxiqN1lArVU1V2KUdW5ONyOBIggOCDReKlNLlpney7iQRQRHG784cYGaGdQY7SnYYx+jurPGRmoALIbho7EX8K/df3Vxig5kL7ncWuDdmxc/iwdkPYg21Gl8wPdjmbIXn1eQZArVszDK23riVH875IUIIMqMzsUu7kaTfG8oby/mk8BNyynMobSjt0cenZzosTF4IwHkp5/H2VW+zevJq/u/I/3H09FHOTz3f7blXjb8KieS5nc8BWgBTJ8uaRVN7k8ssoqyxzGVqlxyerJWwO+Vot9nbeGjTQ7R1tPHskmeNXNb+EmAK4PJxl7Pl1BZqmjtX7QsJCHF7k5ibMJf6tnoOVWsW7mcnPsNitvDbC35LY3sjrxx8hWOnjzEhaoJxTqIl0auAHzt9jFZ7q5Hy1xNPLnySh+c9THhQOKAJ7vMXPs/5qeez8cRGviz6kub2ZlZlrOrRmh8o0iPTKa4v5s+7/0xrRyv3zbrPp/OSLElIpEtJe2/ZVLSJ5o5m/rD0D2y5YQvxofFuM51aO1o53XLasMDBcWNtLDUscJ2QwBDGjBrjcyBTn1H+cM4PsUu7UTjjjpN1Jw1rGCA2NJZ22U5NS42LiycuNI7mjuZua/AU1RUZ1rfOhWMu5Ej1EcN15+zC07kn6x5e/9brxsxTxxo2eNWYfmeB+8J3pn6H1ZNXd+bROkXxp8VNo7KpkqrmKhfx0C1V0DIRAI5UHTGKKXyhurma1RtWuwiJSZiIC9GKGuYmzuUHs39g/OC/Kv6KmJAYJsZMNI4PM4fxk3k/4YpxV/DGkTe4csKVbj8rNSKVuYlz2Vm6k5iQGBfrRq8+yynPYWrsVDrsHZQ1lBlBJcAlFzwjSPs7/Gn3n8ix5fDMkmc8znL6yhXjruDlAy9z5yd3EhMSw8HKg5q/3tT9Kzg3cS4AO0t2Mil6Ep+f/JzFKYuZGjuVpaOX8vL+l2m1tzIustMCT7Qkel2LW3d5TImZ0qcxhJnD+OOyP/bp3P6SHpmORLI+bz2rMlZ1ywDyhC6aJQ0lpEZoRS16ppavN55dpbvIiM7gwjEXApAVn+W2WEm3MvXca9D84EdrjlLVXOXyHQWYGD2RA5W+LUGcXZZNsiWZxSmLSQ1P5dPCT7k281q3xxbWFnLB6AuM57pg2xpt2Jpshm8+LizO6Ld+owbtBtB1dnNp2qU8u/NZ3i94n/vPuZ+C0wUEBwS7zL5CAkNcvpPG3yA0nm/K+rQfjlfOOgtcRxdv0MTOJEyGBa773ZwtOGdSw1MJDQztlR/cLu088uUjVDZVsmbpGp6/8Hkem/8Y/zH9P1iYshBzgJmXDrzE5qLNxvHbircxP2m+W0t3Wtw0nlj4hJFf7I6VE7RtSKfHTXf5MSZaEkm0JBqfVdlcSbtsd8lP1ad5uh98c9FmXtr/EtdnXs/y9OU+j9tXJkZP5NrMawkKCKKutY6U8BSuz7ze7bHWMCtpo9LYWbaTHFsOVc1VhnjcOeNOWu1aoNfFAg9LpKq5yiVQ2hV98wNfxW84oRshQaYg7s662+fz9GvuHO/4x/5/cOn6S30SzzZ7Gzm2HGbHdy6nkGXN4lT9qW7+YyNA6GyBhyUYPmVnCxxgSuwUTtWf8rqWkZSS3eW7mRk/EyEEF4+9mB0lO9yeV99ar6UQOlngeiCxsqmS8sZyFwscXIt52u3tFNcXd7PA40LjmJ80n/cL3scu7eTX5BsZKN6whlkpbyoflGrMs9IC70pQQBAp4SlGLrg+bfPk4w0wBTAhakKP07u1B9ZS2lDKTZNvYnTEaF7c+yJbi7fy2PzHXIpbdNrsbVz51pX8Zc9fWJK6hLzqPCqbKw33SV+4aMxFrAldw3kp53V77dsTv82a7DVkl2UbXzJn35xeLVZSX0JFUwWPbX2MidET+fG8H/e5Pz0hhODnC37u8/FzE+ey4dgGRkeMxmwyG2OcFjeNhckL+ar4KxcfuD62ssYyjwKdW5VLZnSmTz+64cbYUWOxmC1cP/H6bj7WntDjHs4ZRx8d/4iShhJu+/A2fnv+b1mcutjj+bmVuTS1NzEncY7RlmXNArQ8fv3GCq4pel0/H+hmgU+J1WZCBysPGkVg7iiqL8LWZDOqIi8aexEvHXiJTUWbjApaHX2WpWeQgFMmSFM5FU0VxgwhLqRT2HVKG0ppl+3dBBy0WeSjWx4lpzyHgpoCY6brjfiweNrtmgsnOiTap3N85ay1wLvinImSX5NPTEiMcWHdkRGdoeV1urlr2qWdF/a8wKu5r7LirRV879Pv8Zecv7Bi3Aquy7zO7fuZTWbunHEnBysPsrlos7HoU09fXG+EmcP45LpPjJQ0Z1ZPXo011Mqa7DWG9eX8w48LjSPQFMiphlM8tvUxGtoaeHrJ0wQHBPe5PwPJvMR5NLQ1sP7IeuYnzXeZ4j6+4HGeXfKsyxot3op57NKuLf4U493/PRwJCQzhvavf44FzHuj1eTEhMcZ3oLa1lsPVh7ku8zrGjhrLf332Xz0u47urbBeAy4Jmk2MnE2gK7OYHd87w0HEWc+cSc+gUcG8zAd3/PSthFqDdxBPCErplo7R2tPLrr39NbEgs8xLnGe16f/Kq8+iQHZ1ZMl3K7KF7Boozy8YsIyQghDeOvEFxQ7GL/7snBrOYx5dNjUOEEF8LIfYIIQ4IIZ50tKcLIXYIIfKFEK8LIYK8vdeZJG1UGoW1hdilnbzqPI/uE53M6ExqWmrcphkV1hZS11bH/bPu57tTv0tOeQ7jo8bz2PzHevQrrhi/gpTwFP66569sLd7KhKgJLl/wvuAp0BgaGMpdM+4iuzybN45oa3c7C7heaLH+yHq2nNrCg7Mf9PkLORToFl9zR7OLlQdaFd1l6Ze5tBnVpR4EvKiuiIa2BkM0/JG40Lg+BZadU0Z3l+3GLu0sT1/Oy5e9zNzEuTy57UmPa4LsKt1FemS6iygHBwQzJWaKS7UpaEIYKAJdrMwEi2aBB4pAF9cKQGRwJKnhqV5jF9nl2USYI4zfrEmYuGjsRWw9tdWlMvP5nOc5Un2EXyz6hUvmVpg5jLDAMGP5Af03NypoFIGmQJcMkZ4E3GK2sHT0Ut4/phWl+fp7WZK6hG03bjNiawOJL9+GFmCZlDILmAlcJoSYDzwN/F5KOQGoBu4Y8N4NIGmj0mhqb6KsoYz8mnyvKXJGINONH1zfumrp6KX8YPYP+Oz6z1h3xTrCzGE9vqfZZOauGXdxoPIAO0p29Mt94gvXZFxDangqO0p2EBYYxqigUS6vJ4cnU9tay+KUxV5T64aauNA40iPTEQiXgJQndKHwJOB6Baa/WuD9wbkac1fZLswmM9PjtFUmH573MB2yg4+Of9TtvA57B7vLdxvFVc7MsM7gYOVBl6UoyhvLiQ2NdbnJ6GLpXIPgzJTYKV4FfHfZbrLis1ze94aJNxAZHMnNG27m7fy3+absG17a/xLXZl5rrMLojDXMaiyyplveQohuueBFdUUEmYI8GlZXjLvCWG1TTyH0RkhgCOFB4YOSreTLpsZSSqnnmpkd/yTa7vRvONrXAisHvHcDiJ5VsbV4K03tTcaKaJ7oacW0fbZ9hAWGGSXOIYEhPueL61Y4MOgCbg4wc++sewHN+u76BRofNZ7YkFh+segXQ5IK11tumHiDtqaHh3xfZ4IDgokJifFYjZlbmUugKdDrzOtsRE+xlFKys3QnM6wzjO/r+KjxZEZnut3P9FD1Ierb6t0KeFZ8Fs0dzRyp6jRwKpoqugmf7gN3DqA74y2QebrlNEdPH2VW/CyX9rTINP73W//LdOt0frb1Z3zv0++RGpHKQ3Mecvs+sSGx1LdpMqbvVQl0K6c/WXeSlIgUjzOdhSkLiQqOwmwyG1k9ZxKf5mNCiAAhRA5QDnwCHAVqpJT6zrZFQIqHc+8UQuwSQuyy2QZvYXNv6IEt3W/mzQKPCokiPizerQW+v2I/U+Om9ikYZjaZeXD2g0yMnmiU6A4ml6dfztTYqW7H+6M5P+LtlW/3GAs4k9w0+SZ+Ov+nPh+fEOa5mOdQ1SEmRE3olqM7EkiyJNHU3sSp+lPkVuV2E+Tl6cvZY9vTbU39XaWa/9s5gKmjr7njvGRDeWN5t++SxWwhIiiim/9bx5sf3PB/dxFw0GZpL178IndMu4MAEcBT5z3lcRbsnNro3Meu5fSFdYVu3Sc6ZpOZW6bcwkVjL3KbAjvU+CTgUsoOKeVMIBWYB/g8D5VSviilnCOlnGO1Wr2fMEgkhGnrSejVVL74rzKiM7oJeEtHC4eqDxkr6PWFS9Iu4Y0r3zAqxQYTkzDx8mUv8+vzft3ttaCAoG5Vnv6Mp2IeKSW5lbkj0n0CndbvhmMbsEu7kWevo6eNdrXCd5XtYkzEGLfuhERLIvFhrgU97ixwgN+e/1vumnGX2745Z6K4I8eWQ6AINJaK6EqgKZAHZj/Alhu39JgVoot2dHC0S0WqswuloKaAvOo8I9vFE3fOuJNnljzT4zFDRW93pa8BPgcWAFFCCP0WlAp43hJnGCCEYOyosbTLdlLCU7rtMuOOzOhMjp4+6uLnO1x1mHZ7e78EfKgJCQzpcxm1P5FoSXTZwktnb8VeqluqXZZ9HUno+dfvHn2XQFNgt+ULUsJTyLJmuQi4XdrJLst2a33rZFk7C3p2lu6kpqXG7WxuQfICl7Q+Z7wFMg9VHWJc1Divxo634K7eL2dLXG+vbq6m3d7O64dfx2wyd1sobzjjSxaKVQgR5XgcClwM5KIJuV4KdSvgecfdYULaqDTAu/tEJzM6k3Z7O8dPHzfa9ACmPwn4SCHRkkhdWx2bizZT0VRBRVMFT3z1BN/54DtEBkf2mO98NqNb4MdrjzM9brpbMVyevtylVDy3Mpfa1lq3/m8dvaDnx5t/zO0f3U5qeCqXp1/e6/71FMg8UnVkQLI3PAp4SBwSbbu3d46+w8VjL+6xeG644YsTJwlYK4QIQBP8/5VSvieEOAi8JoT4JbAb+Psg9nNA0P3g3gKYOs6ZKLro76vYR3xovJH1oBg+6Duz37tRC9wKBAGmAFZPXs1dM+46q9xFvSE6OJrggGBaOlo8CvKlaZfyzM5neL/gfZLDk/ndN78jNDC0xxUp9YKej49/zO3TbufurLv75BacEjuFjws/pqa5xmVt+OrmasqbypkYPbGHs33DWOI21NXFo5fTv3LwFerb6t3WVAxnvAq4lHIv0C2CIKUsQPOH+w16JoqvFnj6qHSCTEFsObWFK8ZdAWgBTOeFoxTDh/lJ89n07U3kVeeRV5OHrdHGNRnXeJy+jxSEECRZkjhee9yjSyQuNI55ifP4276/IZHMSZjD4wse72axOjPDOoMfzfkR5yad26/4guEHrzrokpmlZ4ANqgXuaF+ft95lQxR/4cyHUYeQ+UnzuXDMhT6vc20OMLN6ympe2v8S12RcQ2Z0JoW1hcYaJIrhR3RINPOS5jEvya9si0EnyZJEUV1RjwJ106SbKKwt5J6se1g5YaXX1FKTMHHr1Fv73TfnQKazgOu7MmXG9F/AEy2JBAcEG6m/OrqAt9vbuWHiDcMynbYnRpSAx4XG8Yelf+jVOfdk3cPHxz/mF9t+wQ9m/wCgx30iFYrhyKVplzIhekKPxWZLxyz1aYOJgcZTIPNI9RGvS1705jM+XPVhN/+2/t5hgWHGLNufGFEC3hdCA0N5fP7j3PXpXfxq+68QCL8ux1aMTFZlut+9Z7gw3TqdnaU7sUu7kVFyuOrwgJafu7sR6EvCLhuzzKfMtOHGiFnMqj8sTFnIinErKG8qZ3zUeJeFlRQKRf9ZnLKYiqYKwwpvt7dztObogAQwvbH+yvU8OPvBQf+cwUAJuI88NPchYkJiXFZlUygUA8PilMWYhIlNRZsAOFF7glZ764D4v71hMVuGRVVlX/DPXp8BYkJiePuqtwd1j0yFYqQSFRLFTOtMNp3cxL0z7zUCmENhgfszygLvBVEhUUrAFYpBYknqEnKrciltKOVI9RECRWC3rBGFK0rAFQrFsEBfNnhz0WYOVx0mPSp9RC4+1huUgCsUimHBuMhxpIansqloE0eqB6aE/mxHCbhCoRgWCKFt3rGteBtljWXK/+0DSsAVCsWw4fzR5xurfyoL3DtKwBUKxbBhdvxsws1ancXEGGWBe0MJuEKhGDaYA8wsTl1MfFg8sSHet9Ib6ag8cIVCMaz46bk/pbal1u8WljoTKAFXKBTDisjgyBG7dntv8WVHntFCiM+FEAeFEAeEEN93tMcIIT4RQuQ5/o8e/O4qFAqFQscXH3g78EMp5RRgPnCvEGIK8DCwUUqZAWx0PFcoFArFEOFVwKWUJVLKbMfjOrT9MFOAq4C1jsPWAmqXA4VCoRhCepWFIoRIQ9tebQeQIKUscbxUCqhNIhUKhWII8VnAhRDhwHrgASllrfNrUkoJSA/n3SmE2CWE2GWz2frVWYVCoVB04pOACyHMaOL9Tynlm47mMiFEkuP1JKDc3blSyhellHOklHOsVs8bpCoUCoWid/iShSKAvwO5UsrfOb30DqDvaHor8PbAd0+hUCgUnvAlD3wRcAuwTwiR42h7FPgN8L9CiDuAQuD6wemiQqFQKNzhVcCllFsATyVRFw5sdxQKhULhK2otFIVCofBTlIArFAqFn6IEXKFQKPwUJeAKhULhpygBVygUCj9FCbhCoVD4KUrAFQqFwk9RAq5QKBR+ihJwhUKh8FOUgCsUCoWfogRcoVAo/BQl4AqFQuGnKAFXKBQKP0UJuEKhUPgpSsAVCoXCT1ECrlAoFH6KL1uq/UMIUS6E2O/UFiOE+EQIkef4P3pwu6lQKBSKrvhigb8MXNal7WFgo5QyA9joeK5QKBSKIcSrgEspNwNVXZqvAtY6Hq8FVg5wvxQKhULhhb76wBOklCWOx6VAgqcDhRB3CiF2CSF22Wy2Pn6cQqFQKLrS7yCmlFICsofXX5RSzpFSzrFarf39OIVCoVA46KuAlwkhkgAc/5cPXJcUCoVC4Qt9FfB3gFsdj28F3h6Y7igUCoXCV3xJI1wHbAMmCiGKhBB3AL8BLhZC5AEXOZ4rFAqFYggJ9HaAlPJGDy9dOMB9USgUCkUvUJWYCoVC4acoAVcoFAo/RQm4QqFQ+ClKwBUKhcJPUQKuUCgUfooScIVCofBTlIArFAqFn6IEXKFQKPwUJeAKhULhpygBVygUCj9FCbhCoVD4KUrAFQqFwk9RAq5QKBR+ihJwhUKh8FOUgCsUCoWfogRcoVAo/JR+CbgQ4jIhxGEhRL4Q4uGB6pRCoVAovNNnARdCBADPA8uBKcCNQogpA9UxhUKhUPSM1y3VemAekC+lLAAQQrwGXAUcHIiOOVP61FO05B4a6LdVKBSKISF48iQSH310wN+3Py6UFOCk0/MiR5sLQog7hRC7hBC7bDZbPz5OoVAoFM70xwL3CSnli8CLAHPmzJF9eY/BuHMpFAqFv9MfC/wUMNrpeaqjTaFQKBRDQH8EfCeQIYRIF0IEATcA7wxMtxQKhULhjT67UKSU7UKI+4CPgADgH1LKAwPWM4VCoVD0SL984FLKDcCGAeqLQqFQKHqBqsRUKBQKP0UJuEKhUPgpSsAVCoXCT1ECrlAoFH6KkLJPtTV9+zAhbEBhL06JAyoGqTvDlZE4ZhiZ4x6JY4aROe7+jnmslNLatXFIBby3CCF2SSnnnOl+DCUjccwwMsc9EscMI3PcgzVm5UJRKBQKP0UJuEKhUPgpw13AXzzTHTgDjMQxw8gc90gcM4zMcQ/KmIe1D1yhUCgUnhnuFrhCoVAoPKAEXKFQKPyUIRVwIcQ/hBDlQoj9Tm1ZQohtQoh9Qoh3hRCjnF57xLFh8mEhxKVO7X61mXJvxi2EuFgI8Y2j/RshxDKnc2Y72vOFEH8UQogzMR5f6O21drw+RghRL4T4kVPbWXutHa/NcLx2wPF6iKP9rLzWQgizEGKtoz1XCPGI0zn+dq1HCyE+F0IcdFy/7zvaY4QQnwgh8hz/RzvaheNa5gsh9gohznF6r1sdx+cJIW71uRNSyiH7BywBzgH2O7XtBM53PL4d+G/H4ynAHiAYSAeOoi1bG+B4PA4IchwzZSjHMcjjngUkOx5PA5SRfYgAAAUqSURBVE45nfM1MB8QwAfA8jM9toEYs9PrbwD/B/zI8fxsv9aBwF4gy/E8Fgg4m681cBPwmuNxGHAcSPPTa50EnON4HAEccejWM8DDjvaHgacdjy93XEvhuLY7HO0xQIHj/2jH42hf+jCkFriUcjNQ1aU5E9jsePwJsMrx+Cq0C90ipTwG5KNtpGxspiylbAX0zZSHLb0Zt5Ryt5Sy2NF+AAgVQgQLIZKAUVLK7VK76q8AKwe/932jl9caIcRK4BjamHXO6msNXALslVLucZxbKaXsOMuvtQQsQohAIBRoBWrxz2tdIqXMdjyuA3LR9gW+CljrOGwtndfuKuAVqbEdiHJc60uBT6SUVVLKarS/12W+9GE4+MAP0HmhrqNzmzZPmyb7tJmyH+Bp3M6sArKllC1oYyxyes0fx+12zEKIcOAnwJNdjj/br3UmIIUQHwkhsoUQP3a0n7XXGm2W1QCUACeA56SUVfj5tRZCpKHNnncACVLKEsdLpUCC4/GAa9pwEPDbge8JIb5Bm4a0nuH+DBU9jlsIMRV4GrjrDPRtsPA05ieA30sp689UxwYZT+MOBM4DVjv+v1oIceGZ6eKA42nM84AOIBnNNfpDIcS4M9PFgcFhgKwHHpBS1jq/5phBDVqu9qDvSu8NKeUhtKkkQohM4ArHSz1tmuz3myn3MG6EEKnAW8B3pJRHHc2n0Maq43fj7mHM5wLXCiGeAaIAuxCiGfiGs/taFwGbpZQVjtc2oPmSX+XsvdY3AR9KKduAciHEVmAOmgXqd9daCGFGE+9/SinfdDSXCSGSpJQlDhdJuaPdk6adAi7o0v6FTx04A47/NFyDHfGO/01ovr7bHc+n4hrELEALdAQ6HqfTGeyYeqYDGgM47ijHmK5x8x5dA1uXn+lxDcSYu5zzBJ1BzLP9WkcD2WjBvEDgU+CKs/lao7nKXnI8tgAHgRn+eK0d1+YV4A9d2p/FNYj5jOPxFbgGMb92tMegxX+iHf+OATE+9WGIB7wOzffVhmZ93AF8Hy16ewT4DY7qUMfxP0WLTB/GKQqPFs094njtp2f6Qg7kuIGfofkIc5z+6T+GOcB+x7j/7Py3Gm7/enutnc57AoeAn+3X2nH8zWj+4v36D/1svtZAOFqm0QE08X7Ij6/1eWjukb1Ov9XL0bKJNgJ5aDflGMfxAnjeMb59wByn97odLVEjH7jN1z6oUnqFQqHwU4ZDEFOhUCgUfUAJuEKhUPgpSsAVCoXCT1ECrlAoFH6KEnCFQqHwU5SAK85qHCvAbRFCLHdqu04I8eGZ7JdCMRCoNELFWY8QYhpa7vEstIKR3cBlsrPKtTfvFSilbB/gLioUfUIJuGJE4CjTb0Cr/msAxqIt12sGnpBSvu1YkOj/OY4BuE9K+ZUQ4gLgv4FqYJKUMnNoe69QuEcJuGJEIISwoJWttwLvAQeklK8KIaLQytZnoVXV2aWUzUKIDGCdlHKOQ8DfB6ZJbWljhWJYcMYXs1IohgIpZYMQ4nWgHrge+JbTzj8hwBigGPizEGIm2op5zpb210q8FcMNJeCKkYTd8U8Aq6SUh51fFEI8AZQBWWgB/manlxuGqI8Khc+oLBTFSOQj4L/0fSaFELMc7ZFAiZTSDtyCtvqlQjFsUQKuGIn8N1rwcq8Q4oDjOcBfgFuFEHuASSirWzHMUUFMhUKh8FOUBa5QKBR+ihJwhUKh8FOUgCsUCoWfogRcoVAo/BQl4AqFQuGnKAFXKBQKP0UJuEKhUPgp/x/1ZwIhJXMspgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Do decadal trend"
      ],
      "metadata": {
        "id": "e6uvd_vS3lgJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "vy_year = vy_max\n",
        "vy_year\n",
        "\n",
        "fig,axes = plt.subplots(3,1, figsize=(9,6),sharex=True,sharey=False)\n",
        "fig.subplots_adjust(hspace=0.0,wspace=0.0)\n",
        "plt.tight_layout(h_pad=0,w_pad=0)\n",
        "axf = axes.flatten()\n",
        "\n",
        "\n",
        "for m,mm in enumerate(np.arange(1901,2000,10)):\n",
        "  \n",
        "  vy_dum = vy_year[vy_year.index.isin(np.arange(mm,mm+10))]\n",
        "  print(vy_dum.index)\n",
        "  txt = [85,65,45]\n",
        "  for v,vv in enumerate(list(vy_dum)):\n",
        "    gu = mk.original_test(vy_dum[vv],alpha=0.1)\n",
        "    vy_dum['Year'] = vy_dum.index\n",
        "    sns.regplot(x='Year',y=vv,data=vy_dum,ax=axf[v])\n",
        "\n",
        "    if gu.h == False:\n",
        "      sig = ' '\n",
        "    else:\n",
        "      sig = '*'\n",
        "\n",
        "    axf[v].set_xlabel('')\n",
        "    if v == 0:\n",
        "      axf[v].text(mm+3,81,str(np.round(gu.slope,2))+sig,fontweight='bold')\n",
        "    \n",
        "    if v ==1:\n",
        "      axf[v].text(mm+3,60,str(np.round(gu.slope,2))+sig,fontweight='bold')\n",
        "    \n",
        "    if v == 2:\n",
        "      axf[v].text(mm+3,40,str(np.round(gu.slope,2))+sig,fontweight='bold')\n",
        "\n",
        "gu"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "b-xuHld13n5w",
        "outputId": "f77d0fe7-13f4-4306-e5a2-2855a5511349"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Int64Index([1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000], dtype='int64', name='Year')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mann_Kendall_Test(trend='no trend', h=False, p=0.6534220947553175, z=0.4490132550669373, Tau=0.13333333333333333, s=6.0, var_s=124.0, slope=0.3949999999999996, intercept=31.642500000000005)"
            ]
          },
          "metadata": {},
          "execution_count": 58
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 648x432 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Periodicity"
      ],
      "metadata": {
        "id": "l6Vq-aWz2W43"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy import stats, signal\n",
        "fig, axes = plt.subplots()\n",
        "\n",
        "f,pxx = signal.welch(vy['1mm'])\n",
        "\n",
        "#plt.plot(pxx)\n",
        "axes.semilogy(f,np.squeeze(pxx),'o')\n",
        "#axes.set_xlim([0,0.01])\n",
        "\n",
        "1/0.004"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "SU-y7zRY2YPM",
        "outputId": "ec4b3a2b-f7d7-4344-9649-2a97d59dc2e9"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "250.0"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "How does the data look on a monthly basis"
      ],
      "metadata": {
        "id": "vfEQ4C9fSLVx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "vy_monthly = vy.resample('M').max()\n",
        "vy_monthly = vy_monthly.drop(columns='Year')\n",
        "vy_monthly.plot()\n",
        "\n",
        "vy_monthly.to_excel('widespread_monthly.xlsx')\n",
        "\n",
        "fig, axes = plt.subplots()\n",
        "pd.plotting.autocorrelation_plot(vy_monthly[\"1mm\"],ax=axes)\n",
        "pd.plotting.autocorrelation_plot(vy_monthly[\"10mm\"],ax=axes)\n",
        "pd.plotting.autocorrelation_plot(vy_monthly[\"5mm\"],ax=axes)\n",
        "axes.set_xlim([0,100])\n",
        "\n",
        "\n",
        "fig, axe = plt.subplots(3,1,sharex=True)\n",
        "\n",
        "for k, kk in enumerate(list(vy_monthly)):\n",
        "  f,pxx = signal.welch(vy_monthly[kk])\n",
        "  axe[k].semilogy(f,np.sqrt(pxx))\n",
        "  a,_ = signal.find_peaks(pxx,height=80,distance=5)\n",
        "  axe[k].semilogy(f[a],np.sqrt(pxx[a]),'ko')\n",
        "\n",
        "  print(1/f[a])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 880
        },
        "id": "ewN80CvTSODJ",
        "outputId": "2d7864b8-a2cc-440f-c9df-32dbc0b09dc1"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[64.         19.69230769 12.19047619  7.75757576  5.81818182  4.\n",
            "  3.01176471]\n",
            "[128.          21.33333333  12.19047619   7.75757576   5.95348837\n",
            "   4.74074074   4.           3.01176471]\n",
            "[256.          42.66666667  12.19047619   5.95348837   4.        ]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}