{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from fmskill.model import ModelResult\n",
    "from fmskill.observation import PointObservation, TrackObservation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import set_matplotlib_formats\n",
    "set_matplotlib_formats('png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Dfsu2D\n",
       "Number of elements: 958\n",
       "Number of nodes: 570\n",
       "Projection: LONG/LAT\n",
       "Number of items: 15\n",
       "Time: 23 steps with dt=10800.0s\n",
       "      2017-10-27 00:00:00 -- 2017-10-29 18:00:00"
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "fn = '../tests/testdata/SW/HKZN_local_2017_DutchCoast.dfsu'\n",
    "mr = ModelResult(fn, name='HKZN_local')\n",
    "mr.dfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "o1 = PointObservation('../tests/testdata/SW/HKNA_Hm0.dfs0', item=0, x=4.2420, y=52.6887, name=\"HKNA\")\n",
    "o2 = PointObservation(\"../tests/testdata/SW/eur_Hm0.dfs0\", item=0, x=3.2760, y=51.9990, name=\"EPL\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "o1.hist();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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LbKJuMpYgNgzDgL4+9J6WlmQjD5BIOGUKYjFaly3zDa+4ETC5urf3Xmmbibv3a7jwAuqOn+bUw0kk2HbnXX6v2UoMsQxTAuEraXa3Ac2qui5nigzDKDtSfeg7Fy1Oe17H+g1OJUqv2FgW8fNh751aBydY7yZ4v/bVa3oTuLq6nNLGFRpiGaZn7Azgc8CR7usq4HTgv0Tk33IvzTCMcmLk9OmMu9ppNLdvVfoWFW3LlvmLtUSjSG1tv/HzOdF0zReS7ld3/DRaHlzYqyNITw8HzZ7NoddeWzFuGwgXdXMIcIqq7gMQkVuAJ4GP4IRcfjP38gzDKDfaV69JrgUfQONx4q1tA2axhrrfAH711AqX2+68ywm1rK5mwo03sOvRx+h67TX//J4dOypqIRbCzegnAkGnWzcwSVUPEIjCMQxjeOP5xv1IF3HTkyKRpJrx466+KifGNFPcfpIm934d6zeAt0Db1cW+36yi6+23k87tePll3rrsctpjsSFrKxXCzOh/BPxeRJrc7fOBH7t9YNfnXJlhGGWHF5o4/vrriLe2+Y1F0jUYyVUY41DKDffs2NH36aPCFmIhhKFX1TtE5OfAh3EyiD+nqmvdw/+YD3GGYZQPSQ1FBmgkksswxqwKmsVitC1voqelxSmF0NPj1Lv54Cw6X30VdevfBGvvVMpCLGSXMHWwqu4RkbHAG+7LOzZWVXflU6BhGOVB++o1vdUpB2gkkuvuTpmSqcAx8psuXeC4bMApj+yWSN79gx/6Tx+eYa+0ZCnIbkb/I+A8nAVXxS1mFvhqRc0MY5iwu7GRvStWMuqcs/vM1kfOmukYUM8VEo9nNOCF7O7UvnpNb50bV5fX9ES7u4m3tvnRQpBd7Z1yI5uEqfPcr0fnX45hGKXK7sZGtt1yKwD7n38eIMnYj5w+nbELLmWXF0Ov6mecppKNuyVXjJw1E6qre2f0VVVIJJLRReO5eYCKqX8TJmFKcHzxR7v++onABFVdnTd1hmGUDHtXrOyznTqrj446uLdFYCTiJEdloD93Sy4ZOX06kx5ZkmS8Ozdu9J9MgovDbcubaF261H8qaX3ySSZ8/eaMaw3lQpiom+8DCZzaNnfgdJhaClTOioVhGBkZdc7Z/kze205l5KyZSG1tyTXcTm0Z6NXGb29upnbKFIDeheRgH9t4fMCm5eVAGEP/QVU9RURiAKq6W0RqBrrIQ0SiOC0J3/HcQYZhlA/erDaTjx4yu2RKqSJkxnr5qUbeYwhNy0uFMIa+2zXWCiAih+LM8LPlS8AGnKbihmGUIWPmz/cNfHssxs5Fi+nZsYPR8y7y96e6ZEqtImS6heDOjRuTjHzN1Kl0vfqqUwcnEsm41lAuhMmM/S6wDDhMRO4Efgvclc2FInIU8HFgUWiFhmGUHLsbG9n0j59l39NP0/HSS2y75VZ2NzamPTebzNVC4j11BOvZxFvbkhqUNJx7LhO+frMTRZRIsP3ue8o6UzZMwtQPRaQZmIMTWnmhqm7I8vL/BP4NGBVaoWEYJcXuxka23XZ7UulfgNYnl6Z35xQwlDJbUp860mkMVrcs90zZMK4bgFeBPd51IjJRVd/q7wIROQ/YoarNInJ6hnOuwqmGycSJE0NKMgwj3wTbBHo13FPp2LCB3Y2NfUodFDKUcrBk0lhqH1CDRTTd4kO6E0W+CNwCbMdpDi6AqurJA1x3N3Ax0APU4fjo/1tVP5vu/BkzZujatWvTHTIMowgEfexEIhkrUxKJOK9EoiR88bmglBaRB0JEmlV1RrpjYWb0XwLep6o7w9xcVa8HrneFnA78ayYjbxhG6RH0sQO+MU/Cq1AZj+ekPWCpUKhY/3wTZjH2bZyOUoZhDCP8ssPRKFJTw9jLL3MKg4lAVRWjzj/Prx3jJUqVu6uj0simqJnXQvB14Nci8jMC9edV9d+zvZmq/hr4dTiJhmEUE89/7WWWjpozh1Fz5vgujfbVa9ib+Llj5EU46NRTGXfNFypiJlwpZOO68SJl3nJfNe7LMIxhRFtTE9rVRVtTExMffsgvBNa5cWOvK0c1qaxAJVFO/vpUsilqdlshhBiGUTqkVqlMioXv6qLlvvv9WXu8tS3r+jblSnssxluXLvAjcCY+sqSsjH3Y8ErDMCqcdFUq/Thz19jvf+EF2pubmfjwQ07WqJtYJDU1Feebb4/F2H7X3c7PDs5TzfKmsjL0YRZjDcMYBrQ+uTRpe++Klb6f/qBTT/WjbrS7m7blTWy/+x4n2iYSYfz115WVARwIL7S046WXii1lSNiM3jAMoLdMb8f65BbQUldHeyzmNNi+5gu0Nzf7LgxwZrhexE2luW18l1WQmhoaLrygOIIGSZh69FOAB4DxqnqiiJwMfEJVv5E3dYZhFISkfq/BJEoR9j3zDPtWrWLCjTcQb23r03qvrampIrJHgwQzgaWqyu8pW3/aaVSNG1dseaEJkxn7HPA14EFVne7u+7OqnphLQZYZaxiFp+XBhbx777290TMijosmHu89yY2VT816LedolHQkZQJXVTljEo87eQSRiG/0+2t+Xgz6y4wN46MfmaabVIZcaMMwyomRs2YmJUGN/vSnqT/99OST4vG0FShHTp/OuKuvqggjDymZwN3dfrYvPT29bqqeHrbdfseAFS3bYzFaHlxY9MqXYXz0LSJyLL316OcBW/OiyjCMgiM4/9wSifg+6P2rVvkz2P76rFYSwUqWXjRR2vo+8Tg7Fy2m/eSTiY5u6FPMrZTq8Icx9F8AFgJTReQd4A2cHrKGYZQ57avXoD09Tp2aeJz21WsYd/VVTHxkie+W8c6rFBdNJlIrWbYtb6L18cfTdp/a9+yz7HvmGT8rOOjSSVeHvxwM/SZVPUtEDgIiqro3X6IMwygsaeuxBxYkPaPnZcNWOqnFzLwFZ6JRx5XjrV0Ei7t5Lh2vx2wJ1eEPsxj7FvAU0Ag8o9leGBJbjDWM4hBcVIWUZtmRSNHdD8UkODY7Fy1m39NP93v+6PnzOfy2Wwu6UJ2rMsXvA87HceEsFpGfAj9R1d/mQKNhGHkiW2MTnMW2PLgwOdTSLX1QCaWHB4M3Nu2xGD07dgx4fuvSpdQdP62P3x6KE6UUppXgAeBx4HERGQPcCzwHRPOkzTCMITLYBcHo6Ia+PulEouybZA+FpFyDgXBdOKlNWIq1QBsqM1ZETgPmA+cCa4BP50OUYRi5IdOCYKZZpbe/e8uWvg1GKrRgWbb4Y+ktvHpEIs6+lLHyInW8UhHeuBZjgTZMZuwbwDqcWf3XVHV/vkQZhpEbMi2ypptVpiYKSVWVE4mTSPg++koOqxyI1LEcf/11dKzfQNuyZf5C7Yjp04k2NLDvueeSks/ali1zxtIb1wKHqYaZ0b9fVffkTYlhGDknXdPrrbfcinZ0ACT53VMThQ4680xGZIgRH46kG8uWBxf6YamoUnvssU6toEDcfdUhh9Dz7rt+hm3DvHkF1x7G0HeJyBeAE3CafAOgqpfnXJVhGDkjuMjaHovRujRQnTLgd/ezY133xP5VqzjkyiuGtXFPJTXsMjq6oXfmnkjQ+uSTyWUjwFm8DbRYjIyqZ9eSRyCR8Ju45HuMw5RAeAyYAHwUZxH2KMBi6Q2jREmXft++ek2fLM+O9RvYesuttC1von72bN//7CVOGZnxm66A8zXFyAP+onbdCScw/vrrHCPvusS8J6p8E2ZGf5yqfkpELlDVR0TkR8Av8yXMMIxkwoTlZfLD94maiUadGb5n/KuqkOrqYVHqIBeMnDUTqa1NXy4hEkky/p1/+Qsd6zckfxiIFGSMwxj6bvdrq4icCGwDJudckWEYfQgblte+eo0fBx/0w8db25KiaarGjaNn+/beC3t6qD3pJOqOP56GCy8wt80ApPrtAXZ859850NzcJzpHPQNfXe24x1y8puv5HOswrpuFbvz8zcD/AOuB/5sXVYZhJJEuTLI/kuLgEwnie/ew9ZZbOfDii0hVlWPsIdnIu3S8/DJtTU05/xkqldTqnQfWrfMXZ0kknHUPd3Zfd/w0Rs+d2/sBEI/T+vjjvHXZ5XmtcJm1oVfVRaq6W1WfU9VjVPUwVX0wb8oMw/DxQvuIRvu4VFJ98e2xGHtXrEyaTe566GFaGxvZ9/TTaFcXVYcfnhwLHiTLDxOjL+2r1/RxzYw692P+U9T2u++h7vhpSG1t7/iroh0dbL/r7rwZ+zBx9K8BvwdWAb9R1fUDXGIYRo5IF9oHfV0646+/ju1339O3U1QwmQfoeeed3kQfj2gUiUbNPz8EfJ+9N/6q7P3FU874JxJoZycd6zcw/vrr2Hbb7Unj3/HSS7x16QImPrIk526cMD7644EPArOBb4vIVOBPqjo3p4oMw8iaVJfO3hUre7M3B6Bm8mS6Nm3yuydN+PrN1E6ZMixKEecL7wO55b772f/CC76BD87e25Yt879PRbu6aFvelPOxD+Ojj+MsyMaBBLAdGLC6j4jUichqEfmTiLwsIrcNTqphDF+8mfu7996b5M9NdemMOuds3//uIwI1NVRNmpS0u/7MM5xIEbeOeu2UKRXXLaoYeE3U/d9LTY3TrSsQtgo4Y5+GtmXLcu7CCTOj3wO8BPw78F+qujPL6zqBM1V1n4hUA78VkV+o6u9DajWMYUummjXeDLJteRM9LS10rN9AzaRJdL32mn9tpKGBg2Z/2HEhAEQijL38MhJ79zmt8lTBjZk3A58b0kXj7H/+eb98Qt3x05BlEdI9d2kefhdhDP1ngA8D/wxcKSK/w/HV91uY2a1bv8/drHZfeallbxiVykBNLFqXLesN2UuZKSZaW9n7vz9N3rd3n3ON6z6QaNR88jkmNYt24sMPsXPRYnp27GDfb1Y5pRNSEcnL+kiYMsVNQJPrmz8X+DLwb8CIga4VkSjQDBwH3K+qf0g5fhVwFcDEiROzlWQYw4Z0i7G7GxvZu2Ilic7OpLhs4nHq58yh869/pfutt/r6gj3XjmdoRGiYO9dm83lm79NPJzcsqXLNr1s0jqoqRs+dm5f8hTBRN0uBDwB/xYm8uQT4Q3/XeKhqHPiAiIwGlonIiar658DxhTj9aJkxY4bN9g0jDd4/f9vyJicpp59ObPUfmc0hV17RW43SWxB0e5rWTpnit8eT6mq/GbiRH9pjMXY99HDSvrpp0xh11lkFKRoXxnVzD/BH12gPClVtFZFfAx8D/jzA6UaFUYzOOpVCeyzmNKkOlivIhAh7V6ykdsoU/ykgnTFJF65p5If21Wv6hLiOnncRY+bPL8j9w7huBpU9ISKHAt2ukR8BnIVl1A47itVZpxJI6myUTatmVfb/7ne0Nzcz8eGHMjb0TvUhG/lj5KyZSF2d8zsUYezllxXMyEPIDlOD5HDgEddPHwEeV9WfDnCNUWFkihox+qc9FqPlvvuzio2vOuIIerZu9RN1hnOP11IjU8JbkHw+8ebd0Kvqi4D9pQ1zBooaMRyC/+yAM5N3m4RkRARUe428RyRi41xC9PcEle8n3jCLsU+r6pyB9hlGOrKZ0Qx3klw00Sj1p502cCPqqirqpk2j4+WX+/iAxy641Ma5TMj3E++Ahl5E6oCRwDi3eqVXCelg4IicKTEqHvMJ9yU4g29b3tQ7e+/pcULx0hQeq540ie6333YMuyp1xx9P56uvJvvwIxGiow4u4E9iDIV8P/FmM6O/Gidm/gicWHjvL28PcH9O1RjGMCKpGXegRnwSKX55qanhkMsvcwqXBUIjGy68gLblTU4TaitKVnbk+4l3QEOvqvcC94rIF1X1ezm9uzGssPDKZJKacacz8gHqUpqBpCs+NnL6dBouvMDGuEzJ5xNvmPDK74nI/8HpKlUV2P9oHnQZFYaFV/YlqbF0vydGGX/D9UnjlckomHvMSEeYxdjHgGOBdTgVLMGpWWOG3kgi3cw9abGpszMvpVjLDb+x9ABhk/Wnn14YQUbFEia8cgZwvFukzDDSkmnmPnLWTKe2hxsP3rZs2bDvSZrUWFqkrwsnEoFIhH3PPsv+55+3pyBj0ISpR/9nYEK+hBiVgd+UOpFAOzrYeuNNvP2Fa2hb3kT97Nm9Nbl7emi57/689sksNVJb/nkLcKPnzaNu2rSkc+tOOonRn/pUUmcir4m0YYQlzIx+HLBeRFbj1JgHQFU/kXNVRtmS1JQa6Hr9dbpef93ZqKpCqqud8qyJBPtfeIH9a9bkrWJfKbG7sZFtd3wDEok+axRtTU29oZGRiNMS8IbrgUD5YXsKMoZAmBn9rcCFwF3AdwIvw/Dx/c7p6OnhoNmzOejUU3tdFV1dtDY2suniS9jd2FhYsQVid2Oj0x/U/YDzShNA4AlIFUQ46NRTe91d06czeu7cpM5E1rDbGAxZG3pVfS7dK5/ijPIjOrohs6EH9q9aRe20qX0XIHt62HbHN3y3Rqqbo1xpj8X8mbxPoDRB0hOQKrXTpibN2BsuvACprfVbBVpsvDEYwkTd/C3wPWAaUANEgf2qaul3BuAYte1339MnZDA6Zgzx3bsBnAbWK3+V/g16eti5aDFceQWbLl3gtLmrrmbSI0vK1l3RvnqN03zbQ4T6005zjsVi7F2xMun8XUseYdScOUmx8VY6whgqYXz09wF/DzyBE4FzCfDefIgyyhM/hNJDBKmtpeGiT7Jr0WJnnyrdmzZlfI99Tz9NvK2tt2NSV1dZh2L6kTVdXc6Tjgj7nn2WfatWITgffEkkEn3qnFhsvDFUQlWvVNW/ikjUbT7ysNs31jAAiO/d43wjAtXV1M+eTdW4cU4T6jTx4tFx44jv3Nlnf7CxNUBPSwtbb7kVoOwWI4Mz8gMvvtjbSq6722mc7PrmPXeX1NSYe8bIOWEMfbuI1ADrROSbwFbgoPzIMsqN3Y2NvbN2YNRHz2Hfyl85M9mUaBuPeEtL2veKt7U5MffxOESj7HvuOb+rUtuyZUwsM1fOyOnT6dy4kX3PPtu7042wIRJBqqsZf/11eW8nZwxfwhj6i3EWb68B/gV4D3BRPkQZ5Ueqr/lAsI5LTw+1J5xA3fHH09PSktwgOR2JBCNOOYX62bPp3rKF1scf9w+VY9MSP+omtdxBIkHNsccy9pKLC9ptyBh+hAmvbAG6VHWPqt4GfA3Ykh9ZRrkx6pyzk7Z7WlqQqiq/KmPHyy/T1tREzdGT+15cVcWIGTOSdh2IxRg5ayZ1x09LiuIpt8iTtFE3Abpee43td99T9tFFRmkTxtA/jVOX3mMEkCF8whhO7G5sZO+KldRMnZq0v2HuXCdm3jX22t1N54ZXnG1w4sY/9CEmPfYoh331KxCN9l6sys5Fi5NnwpEI42+8gZHTp5d8+KWnr215U3LUTRq8pxTDyBdhXDd1qrrP21DVfSIysr8LjMpnd2Mj29yFUsDxrav6ddIB2pub/drpo845O2l73DVf8N0wE75+M9tuv8M3jPueeSZ5oVaVjvUb2HrLrU7d9Z6ekquE2R6L9daF7+nx/fAkEhCNMuHmmwBofXIpHRs2+GNVTk8pRvkRxtDvF5FTVPWPACLyN8CB/MgyyoVU33zdtGmMOuuspEXF1DjwdLXUAWqnTOl102RwdbQ++aTfWQmc2XDb8qakPqvFijn3yxzE470fUN7PUVXFhJtv8n3xY+bPt/r8RsEIY+i/DDwhIp5f/nDAVpCGOaPOOZv9zz/vb4+ed1GfhcXUOPBMceF9kouCeB8AKclHRKO9s+eqKic2vQgz/YwLrh6qTnmIABYfbxSKMI1H1ojIVOB9OO0EX1HV7gEuMyocz6i3PrmUqsMOc2blg2TkrJlQXd2bLFVVRf1pp1E1blzaaJ0Rf/M31B57LK1PPOEY2EBseiGjc/pdcHXXI1LdMzabNwpJNs3Bz1TVZ0TkkymH3isiqOp/50mbUSbUTplC51/+Qsef/8z+VasGHec+cvp0Jj2yxC/HG0yO2hpcB3A50NxMfJ+bjBWJJM3oAQ68+CLtsVjeDWn76jV+nH8fEgkQYcxn/7G3CYt12zIKTDYz+o8AzwDnpzmmgBn6YUx7LMb2u+72Sx/oEEsWZHJnNFx4Aa1LlyYbVFW6XnnF+T4aZcKNNwD4C7r7nn467QdPrmbT3sJrZ0ombx9U2fXwEr+GTVK3rTLMCzDKj2wM/W7362JV/W0+xRjlQ1J0SbC+TY7eu331GqKjG5KyRSc99ig7Fy3uG40DEI+zd8VKpK4uyY/vlQT2DOnuxkbngyCRgOpqJtx4w6AyUttjMafwWrY/e6CGzchZM5GaGj/yyCJujHyTjaG/DLgX+C5wStgbiMh7cPrKTgASwEJVvTfs+xilg+968OqoB6mp8cMqc/LebiMO371x5RVJJRGCBBeFg3g1eNpjseQF064ux+irhnahtK9e41TXTCUaTdsWMGjQrSKlUWiyMfQbRORN4FAReTGwXwBV1ZMHuL4H+Kqq/lFERgHNIrJSVdcPTrJRbHzXg2fk3SJmuegU1ee9U9wb7avXZI5sycCuxQ9xYN2f6N66te+17uw/rAsltZMWwIgZM5zEL/fniI5uoGP9BqBvMTaLuDEKyYCGXlU/IyITgF8CodsGqupWnAJoqOpeEdkAHAmYoS9TRs6a2ZsEBBCJMOHGG3JSr8V3a3h1ctyiX/5sOOD2SNtQOx2qHFi7NvPxlHtkQ2qoJMCBtWvp3LiRMfPnmxE3SoqswitVdRvw/qHeTEQmA9OBP6Tsvwq4CmDixIlDvY2RJ5IWH4Px7GlixAdL0K2R6qNPPT5y1kzaljfROpQWhCJEDzuMESecEE7nrJlOFnCKC2nvipVWoMwoOURTfaypJ4g8rqqfFpGXcKJs/ENk57rx3qceeA64s7+QzBkzZuja/mZfRlHod/GxqopJjz1alFlsH11eyQGvznswS9UjWJYg6EevqQkVGpouSWrCbbeaoTeKgog0q+qMdMeymdF/yf163hAEVANLgR9a3H15knHxUYSxCy4tmqsiXew99PrIW59cSsdLL/nn1xx7LId/4w46N26k5fsP0LN9u39Mu7rYuWgxnR+Z7SeAHXLlFRl/tjHz51M7ZQo7Fy2mZ8eOtFnBhlEKDDijH/INRAR4BNilql8e6Hyb0ZcmGWf0brvAUkv6yRQZJDU1jL/xBrbdeVd2oZHRKJN+8FhJ/WyGkY7+ZvRZlykWkU+KyKsi0iYie0Rkr4jsyeLSD+E0LTlTRNa5r7/L9r5GcfHK7QKMveTipNrwXnvAUiyz2yd6x0XdePu0TyfpiMfZ/MVrefOzF/PGpz7N7qGsBxhGkQhT1OybwPmquiHMDdwkKxnwRKPkCKbq+639UsoGDyZipRD4i6XBWburddQ5Z7P/D3/IXLYghXhLCwfctofbXDeQuWiMciJM45HtYY28Ud4EU/Xp6upbWVKEg049teTcNuD47kfPndv7BBKJ+FrHzJ/P6IsCXTBFqDriiKzfO7U0s2GUOmEM/VoRaRSRz7hunE+mKXRmVBDxvXsyx6i7vvlg45BSo+HCC5DaWohGkZqaJK0NF17glEuIRpHaWupnz06+WDI/hKa2TTSMUieM6+ZgoB04J7DPippVKO2xGLuWPJL2WP2cOYw4+eSST9/vr9RA6rHOjRuTrh17xeV0vfFmn9LIY6+8wtw2RtkRph79ZfkUYpQW/TUBqf/I7LIxdv2VGggea1+9pje2PhIhOupgDrnyCvY//7zjvopEkjpEGUY5kbWhF5HvptndBqxV1abcSTKKze7GRvb+6ldOga40C5a5yoItJdJVlLTiY0alEKo5ODAVeMLdvgh4GbhCRM7IJkbeKH1Sm33XTJ1K16uv+rN7qakpuQibXJDJqFvxMaMSCGPojwPOVNUeABF5AFgBnA281N+FRvnQ+uTSpO2ujRuZcMvXM1ZhrCTMqBuVShhDfyRwEI67Bvf7I1Q1LiKdOVdmFBSvYFnHyy8nH0gkiLe2cfhttxZFl2EYQydswtQ6Efk1TgLUR4C7ROQg4Fd50GYUiN2NjU5z6wwJRNHRDQVWZBhGLgkTdbNYRH4OzMIx9Deo6hb38NfyIc7IP+kqMCYRiVTk4qthDCcGTJgSkanu11OAw4G3gbeACe4+o0zJxshX6uKrYQwnspnRfwWnKch30hxT4MycKjIKQnss5rhrMhj5UeefR91x77WwQsOoALJpJXiV+/WM/MsxCkX76jWZi3qJUHfcexl39VWFFWUYRl7IxnUz0+0Z621fIiJNIvJdERmbX3lGvoiObkhfz8WtYWPuGsOoHLJx3TwInAUgIh8B7gG+CHwAWAjMy5c4I7e0x2J+56Vtd97Vt8VeVRWjL7qoomPlDWM4ko2hj6rqLvf7+cBCVV0KLBWRdXlTZuSUpNryXi/VAHUnncT4G643A28YFUg2ZYqjIuJ9IMwBngkcCxOHbxSRpNryKUZeamrMyBtGBZONof4x8JyItAAHgFUAInIcvVmyRomTKenJa5ZtRt4wKpdsom7uFJGncWLoV2hvN/EIjq/eKHHaYzHHJ58mlHLkjBlm5A2jwsnK9aKqv0+zb2O6c43Soj0Wo+W++9M3w45EaLjwgsKLMgyjoJiPvYJpj8XYdOmC5AbZHpEIE275us3mDWMYYIa+gmlb3tTXyItQf+aZHHLlFWbkDWOYEKY5uFGi7G5s5K0rrmR3Y2PSvr0rVqQ9f8TJJ5uRN4xhhM3oy5zNX/sae//3pwDsf/55ALrefptdixanvyASsaxXwxhm5N3Qi8hDwHnADlU9Md/3Gy60x2LsXLSYfU8/nbR/x73fJbFrV/qLolEmfP1mm80bxjCjEDP6JcB9wKMFuFdF4nV/6nztNeK7dhEdO5YD69alLUqWychb5qthDF/ybuhV9TciMjnf96lU0kbOvP56uDexzFfDGNaYj77EaV+9Jn14ZBaMmDGD+tmzraa8YQxzSsLQi8hVOM1NmDhxYpHV5BevguRAxnd3YyO7HnmUnp07B3ejqioO++pXzMAbhlEahl5VF+KUPGbGjBk6wOllh+dj72lpYd9zz0E8jlRXM/GRJb4h9s4BiIyqzxw1E0SEmmOOYewlFwPQ+uRSpLaW2mOPtVLDhmH4lIShr2TaYzE2XXxJn4VT7epi04LLiI4ahXZ3k2gL1IdL1xDE3T/2istJ7N0H0MeYj5k/P+f6DcMofwoRXvlj4HRgnIhsBm5R1Symq+VHqlumPRZj6003Z27Z19lJvLOz7/7UhiAu9Weeyfh//dccKjYMYzhQiKibz+T7HmHJ1k/e3/Wem8WbVbfHYrx16QKn5jsQnTCB+LZtOdMsNTUccuUVOXs/wzCGD8PGdeMZ946/vsren/3cmTVXVzN67twkF4h3XnzvHtr/sJqqww5LqguTGu7YtmwZ42+8gV2PPuYbeSBnRr5+zhynZIFFzhiGMUhEM7gJisWMGTN07dq1g7rWi1RBhLGXXEztlCm0LW+i/U9/ousvf8noEgGomjQJurvp2bo17Xk1U6dSc+SRdLzyCj3vvDMofVVHHkn9hz9MZFQ9+555lviePUnH4zt3Jt+7qopJjz1qBt4wjAERkWZVnZH2WKUY+t2NjWy75dbcC8oVWRjtYHRO1bhxFjljGEbW9GfoK8Z1s3fFymJLSIs3i8/GaI+cPt0Mu2EYOadiyhSPOufsYktwXEZXXoHU1UE0itTVceS3v8Xht91qBtwwjKJRMTN6L4b83e/dR7ylJfOJkQg1U6bQ9cor/q7omDHIwQfTs2mTs8NNRKo/43S63niTjg0b6NmyJeltaqZOJVpfT/eWLSBC3dSp/qLtqDlzhhTVYxiGkUsqxkcfZPu3v52UWSo1NYy/8QbirW1+Lfa3Lrsc7e52MlQffsgPkcxkoNOFVBqGYZQKw2IxNpWBDPNQY+kNwzBKiWFp6A3DMIYT/Rn6ilmMNQzDMNJjht4wDKPCMUNvGIZR4ZihNwzDqHDM0BuGYVQ4JRd1IyLvApsGefk4oJ9sqaJRqrqgdLWZrnCYrnCUqi4YvLZJqnpougMlZ+iHgoiszRReVExKVReUrjbTFQ7TFY5S1QX50WauG8MwjArHDL1hGEaFU2mGfmGxBWSgVHVB6WozXeEwXeEoVV2QB20V5aM3DMMw+lJpM3rDMAwjhbIy9CJyuIhIsXWkIiLji60hEzZm4bDxCoeNV3iKMWZlYehFpFZEHgCeAxaKyCeLrQlAROpF5D+AX4jIg6WiC2zMwmLjFQ4br/AUc8zKwtADnwAOV9UpwE+B20VkSjEFiciRwGM4Y/h3OL+8bxZTUwo2ZuGw8QqHjVd4ijZmJWvoRaQ+sKnAuwCq2gQ8BVwtIqOLIM2jA1ikql9S1W3A48A6ETm5WIJszMJh4xUOG6/wlMqYlZyhF5HjRORxYImIfFxEDgIOAHtE5Aj3tG8BpwAnuNfk3d8lIu8Tkf9fREYAqOpO4NeBU94DHAP8Jd9a0mizMQuny8YrnC4br/DaSmrMSsrQi0gE+E/gJZxHsPOAm4FfAVOB94tIjapux3ks+xcAzXOMqIh82NVzFfAVd5+o6v7AaTXAm6ramU8tabTZmIXTZeMVTpeNV3htpTdmqloyL+BI4AdANLC9Gvgg8CngYWCWe2wq8F9AdQF0TQNOBI4D/opTPCj1nL8HvuV+/0/AyTZmpTdmNl42XsNxzIo+o3c//QBQ1XeAGcDZge3vA7ep6hPARuB6Efkq8BPgdVXtLoCuDcBfVfWvwErg9tRzgDnAISKyFPgHHH9hPnQlPd6Vypil0VWSY1Yq45VGV8mMV5BSGq8UXSU5Xq620huzQnzCZfjE+zZQE9jnffotAH4b2D8aZ1FlJiDAbOBe4LOF0BU45mURj8KZQcxJOf4L4GVgXp7G7Aic1OgTPD0lMmZ9dJXCmAGH4fyzBfVUlcB49dFVIuN1CHBwyr5SGK8+ukphvALaxpTamKXVWoibpAzE54A/A/cB9UAk5XgUeAb4cmDfI8CJxdTlaXO/fhn4qfv9Z9xf3Ol51HYT8DugG7jJ3Rc0YMUas351FWvMgBvdf/xfAveX0Hj1q6uI43UD8BrwEPBvaY4Xa7z61VWs8XLvcROwFXgCuKVUxiyj3oLdyDWcwPcy/bD0fkL/DfAGcCHwWaAZOL5YulL1ud/vBtqAxUBdnrQdBiwCfgQcCnwU+A/SP3EUcszC6Cr0mH0MWIETaFAFbAbGe1qK8Tc2kK4ij9c5OB881TgNL54G/tH7XQb+Pwo9Xv3qKtZ4ufc5ASc0sg6YhLOg+hngoGKOWX+vvPvovRhRVU24/rPTgXdF5AQR+ZaILBCRse45KiJRVW3G+YSejrOq/iVVXV8sXR6uvgYR+RbwNvB3qnqFqubU9xeIq23FmS38g6q+i7NwM0ZVu4K+SBGJFHLMstUFhRmzlDjkCLAfx5ieCKzBWbhDXQr9NzaQriBFGK+DcXzGUVVtAWLAl4APuHoSRfj7GlCXRwH/J8cFNvfhuGLqVXUT8ABwGnCyq6lgY5YteateKSKHALcBU4D/BX6tqi+JyF3ACJxPxaXABcA64FFVfcUdoEReRA1BV+D6CM7M/8U8a/sp8CtVXe+GYnWJyCTgt8B094/fu040X7/IIegKXJ+XMUuj639x3EhfxfnwmQHcjzOjehT4garuKPDfWNa6AtcXaryWA5NxZsq/A36Mk0n6XuC/VXWxt2Bc4L+vrHR5mvL8PzkWZ6H3ZODnOH7/d4CvA8tV9Rl3jO4FXgW+r6rxfP9PhiUvM3oR+VucAWkBvgEcBVzhHn4N55HmCVV9EPj/gAk47gDy/A84aF0eqprI0x9UqrYjcdYNcI2pADtxHmE/mKIpn/+Eg9YV0JfzMcvwu7xWVTer6r/gzAY/q6q3Al/EicAY6enJpZZc6fIo0Hi9x9X1G+A3OBEivwHewnF9XOxq0QL/fWWty3uPPP5P/h+gCdgDXINjD+bi/L13AtNF5AhXyy+Bf1DVeKq+UqAqT+/bCvy7qv4EQETG4IYa4fizTsV5nMGdTY8D8vbPVwa6MmmbIyK1QLf7OAjQAHS55+R1Zlqmuka6OrbTa9hXicjtwFjgTdPl6zrHdWP9UESW47gitrsz7PPc33FXno1WqeoCZx3lClXd6GqrAta77qKfAFcDZ+E89f9MRL7sGv4tedYVmiEb+nSPKK4L5u3AsW6cVGRU9a8ich9wnThV5o7BebJ4Y6haykFXSG3HqZvV5xrPfSKyBbgSWJlrY1ohutrda2qAC0XkaJwP8DZgk+lK0nW0NwMFDqjqfhGZDtwJNGuOM0pLVVc/2t5yj40B/i/Ognq9iHwExw33BPBlV9tJwDZgByXIkAy956MNbPuDpcmpyJMB/9FKVdeJyD8DZwB/VtXFQ9FRLrqGqM0zno/jzABNVz+6cMJkZ+FEQzyrqt83Xf3/HkXkBOCHwEJV/c/hoGsgbS77gB+q6lXi1Kz5Hk4wwg0ishG4CNioqg/kWlvO0MGHGH0RZ7HyduAT7j4hEH9Ob5jRt4BPut9/EjhisPctV1050Ha46QqvizT5EKYrra4J7ve1w0VXttrSXPN54F9Jk/RWqq9BLcaKyGk4caGXA+uBr4vIh9Qh4Z5zsvbO9k4A3isiv8D59OsZzH3LVVeOtMXTva/pyqgrAblfeK1QXfMCunLtrilJXWG0pVzzt8ClwGvqWv2yIOSnn/epexFO3YbgJ9yL7vfjcSq2rcJJj5+Is2r9a+DCfHxalaquUtZmukzXcNQ1SG0TXG2PA78HLsiXtrz9zFkMShXOY8p7Avvm4fgXg+f9CefT8QSc8Kjgscvy8MsqSV2lrM10ma7hqCuH2j6eD22FeA00OCcBf8QJCftxyrFXgIsD2+cBP0s5p09KfI5+aSWpq5S1mS7TNRx1lbq2Qr0G8tG3AN/FyeabLCLnBI59BfiGiNS521uAV0SkWtw0eA2sZOeYUtVVytpMl+kajrpKXVtBGLAEgoiMUNUDInI18BlVPT1wbAlOhtivcArq71HVK/Mnt/R1lbI202W6hqOuUtdWEEI8/ozAqdh2bWBfA/Bx4EngjmI8kpSqrlLWZrpM13DUVera8vpzhxykjwJ/cL8/CTjU/b6oPqxS1VXK2kyX6RqOukpdW75eoeLoVfWXwG4R6QTuxi2KpkX2YZWqLldDSWozXaZrOOpyNZSstrwR4lMwglNdbhPwT8X+hCp1XaWszXSZruGoq9S15fMVqh69iJwLPKN5yFIbCqWqC0pXm+kKh+kKR6nqgtLWli/y1njEMAzDKA3y0njEMAzDKB3M0BuGYVQ4ZugNwzAqHDP0hmEYFY4ZesMwjArHDL1hGEaFY4beMAyjwjFDbxiGUeH8PyVMwRmOF1I5AAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "o1.plot(); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                            Longitude   Latitude    swh\n",
       "2017-10-27 12:52:52.337098   2.422854  51.253353  1.638\n",
       "2017-10-27 12:52:53.280494   2.413789  51.310268  1.383\n",
       "2017-10-27 12:52:54.224001   2.404711  51.367184  1.791\n",
       "2017-10-27 12:52:55.167398   2.395619  51.424099  1.700\n",
       "2017-10-27 12:52:56.110895   2.386516  51.481014  1.800"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Longitude</th>\n      <th>Latitude</th>\n      <th>swh</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2017-10-27 12:52:52.337098</th>\n      <td>2.422854</td>\n      <td>51.253353</td>\n      <td>1.638</td>\n    </tr>\n    <tr>\n      <th>2017-10-27 12:52:53.280494</th>\n      <td>2.413789</td>\n      <td>51.310268</td>\n      <td>1.383</td>\n    </tr>\n    <tr>\n      <th>2017-10-27 12:52:54.224001</th>\n      <td>2.404711</td>\n      <td>51.367184</td>\n      <td>1.791</td>\n    </tr>\n    <tr>\n      <th>2017-10-27 12:52:55.167398</th>\n      <td>2.395619</td>\n      <td>51.424099</td>\n      <td>1.700</td>\n    </tr>\n    <tr>\n      <th>2017-10-27 12:52:56.110895</th>\n      <td>2.386516</td>\n      <td>51.481014</td>\n      <td>1.800</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "o3 = TrackObservation(\"../tests/testdata/SW/Alti_c2_Dutch.dfs0\", item=3, name=\"c2\")\n",
    "o3.df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<shapely.geometry.multipoint.MultiPoint at 0x1cf19e743d0>"
      ],
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     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "source": [
    "o3.geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "{'HKNA': PointObservation: HKNA, x=4.242, y=52.6887,\n",
       " 'EPL': PointObservation: EPL, x=3.276, y=51.999,\n",
       " 'c2': TrackObservation: c2, n=298}"
      ]
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "mr.add_observation(o1, item=0)\n",
    "mr.add_observation(o2, item=0)\n",
    "mr.add_observation(o3, item=0)\n",
    "mr.observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "mr.plot_observation_positions();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "cc = mr.extract()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<ComparerCollection>\n",
       "PointComparer: HKNA\n",
       "PointComparer: EPL\n",
       "TrackComparer: c2"
      ]
     },
     "metadata": {},
     "execution_count": 13
    }
   ],
   "source": [
    "cc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1cf19fb1130>"
      ],
      "text/html": "<style  type=\"text/css\" >\n#T_65c41_row0_col1{\n            background-color:  #a1c0ff;\n            color:  #000000;\n        }#T_65c41_row0_col2,#T_65c41_row0_col3,#T_65c41_row0_col4,#T_65c41_row0_col6,#T_65c41_row0_col7,#T_65c41_row2_col5{\n            background-color:  #fff7ec;\n            color:  #000000;\n            text-decoration:  underline;\n             font-style:  italic;\n             font-weight:  bold;\n        }#T_65c41_row0_col5{\n            background-color:  #f4764f;\n            color:  #000000;\n        }#T_65c41_row1_col1{\n            background-color:  #3b4cc0;\n            color:  #f1f1f1;\n        }#T_65c41_row1_col2,#T_65c41_row1_col5,#T_65c41_row2_col2,#T_65c41_row2_col3,#T_65c41_row2_col4,#T_65c41_row2_col6,#T_65c41_row2_col7{\n            background-color:  #7f0000;\n            color:  #f1f1f1;\n        }#T_65c41_row1_col3{\n            background-color:  #f16a4a;\n            color:  #000000;\n        }#T_65c41_row1_col4{\n            background-color:  #f06849;\n            color:  #000000;\n        }#T_65c41_row1_col6{\n            background-color:  #fdc58e;\n            color:  #000000;\n        }#T_65c41_row1_col7{\n            background-color:  #bb0b07;\n            color:  #f1f1f1;\n        }#T_65c41_row2_col1{\n            background-color:  #dcdddd;\n            color:  #000000;\n            text-decoration:  underline;\n             font-style:  italic;\n             font-weight:  bold;\n        }</style><table id=\"T_65c41_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >n</th>        <th class=\"col_heading level0 col1\" >bias</th>        <th class=\"col_heading level0 col2\" >rmse</th>        <th class=\"col_heading level0 col3\" >urmse</th>        <th class=\"col_heading level0 col4\" >mae</th>        <th class=\"col_heading level0 col5\" >cc</th>        <th class=\"col_heading level0 col6\" >si</th>        <th class=\"col_heading level0 col7\" >r2</th>    </tr>    <tr>        <th class=\"index_name level0\" >observation</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_65c41_level0_row0\" class=\"row_heading level0 row0\" >EPL</th>\n                        <td id=\"T_65c41_row0_col0\" class=\"data row0 col0\" >66</td>\n                        <td id=\"T_65c41_row0_col1\" class=\"data row0 col1\" >-0.08</td>\n                        <td id=\"T_65c41_row0_col2\" class=\"data row0 col2\" >0.22</td>\n                        <td id=\"T_65c41_row0_col3\" class=\"data row0 col3\" >0.20</td>\n                        <td id=\"T_65c41_row0_col4\" class=\"data row0 col4\" >0.18</td>\n                        <td id=\"T_65c41_row0_col5\" class=\"data row0 col5\" >0.97</td>\n                        <td id=\"T_65c41_row0_col6\" class=\"data row0 col6\" >0.07</td>\n                        <td id=\"T_65c41_row0_col7\" class=\"data row0 col7\" >0.93</td>\n            </tr>\n            <tr>\n                        <th id=\"T_65c41_level0_row1\" class=\"row_heading level0 row1\" >HKNA</th>\n                        <td id=\"T_65c41_row1_col0\" class=\"data row1 col0\" >385</td>\n                        <td id=\"T_65c41_row1_col1\" class=\"data row1 col1\" >-0.20</td>\n                        <td id=\"T_65c41_row1_col2\" class=\"data row1 col2\" >0.35</td>\n                        <td id=\"T_65c41_row1_col3\" class=\"data row1 col3\" >0.29</td>\n                        <td id=\"T_65c41_row1_col4\" class=\"data row1 col4\" >0.25</td>\n                        <td id=\"T_65c41_row1_col5\" class=\"data row1 col5\" >0.97</td>\n                        <td id=\"T_65c41_row1_col6\" class=\"data row1 col6\" >0.09</td>\n                        <td id=\"T_65c41_row1_col7\" class=\"data row1 col7\" >0.90</td>\n            </tr>\n            <tr>\n                        <th id=\"T_65c41_level0_row2\" class=\"row_heading level0 row2\" >c2</th>\n                        <td id=\"T_65c41_row2_col0\" class=\"data row2 col0\" >113</td>\n                        <td id=\"T_65c41_row2_col1\" class=\"data row2 col1\" >-0.00</td>\n                        <td id=\"T_65c41_row2_col2\" class=\"data row2 col2\" >0.35</td>\n                        <td id=\"T_65c41_row2_col3\" class=\"data row2 col3\" >0.35</td>\n                        <td id=\"T_65c41_row2_col4\" class=\"data row2 col4\" >0.29</td>\n                        <td id=\"T_65c41_row2_col5\" class=\"data row2 col5\" >0.97</td>\n                        <td id=\"T_65c41_row2_col6\" class=\"data row2 col6\" >0.12</td>\n                        <td id=\"T_65c41_row2_col7\" class=\"data row2 col7\" >0.90</td>\n            </tr>\n    </tbody></table>"
     },
     "metadata": {},
     "execution_count": 14
    }
   ],
   "source": [
    "cc.skill().style(precision=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "               n  mean_absolute_error\n",
       "observation                          \n",
       "c2           113             0.294585"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>n</th>\n      <th>mean_absolute_error</th>\n    </tr>\n    <tr>\n      <th>observation</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>c2</th>\n      <td>113</td>\n      <td>0.294585</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 15
    }
   ],
   "source": [
    "cc[\"c2\"].skill(metrics=\"mean_absolute_error\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 720x360 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "cc[\"HKNA\"].plot_timeseries(figsize=(10,5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "line": {
          "color": "#004165"
         },
         "name": "HKZN_local",
         "type": "scatter",
         "x": [
          "2017-10-27T00:00:00",
          "2017-10-27T03:00:00",
          "2017-10-27T06:00:00",
          "2017-10-27T09:00:00",
          "2017-10-27T12:00:00",
          "2017-10-27T15:00:00",
          "2017-10-27T18:00:00",
          "2017-10-27T21:00:00",
          "2017-10-28T00:00:00",
          "2017-10-28T03:00:00",
          "2017-10-28T06:00:00",
          "2017-10-28T09:00:00",
          "2017-10-28T12:00:00",
          "2017-10-28T15:00:00",
          "2017-10-28T18:00:00",
          "2017-10-28T21:00:00",
          "2017-10-29T00:00:00",
          "2017-10-29T03:00:00",
          "2017-10-29T06:00:00",
          "2017-10-29T09:00:00",
          "2017-10-29T12:00:00",
          "2017-10-29T15:00:00",
          "2017-10-29T18:00:00"
         ],
         "y": [
          1.5797287225723267,
          1.7945095300674438,
          1.9933656454086304,
          2.2484540939331055,
          2.1624858379364014,
          1.8930269479751587,
          1.8805941343307495,
          1.7819037437438965,
          1.819505214691162,
          2.1193060874938965,
          2.506195068359375,
          2.6303439140319824,
          2.7131879329681396,
          3.053407907485962,
          3.606905937194824,
          3.837244987487793,
          4.370694637298584,
          4.792234897613525,
          4.630319118499756,
          4.153286933898926,
          3.960529327392578,
          3.577984094619751,
          3.249600410461426
         ]
        },
        {
         "marker": {
          "color": "#d62728"
         },
         "mode": "markers",
         "name": "Observation",
         "type": "scatter",
         "x": [
          "2017-10-27T00:10:00",
          "2017-10-27T00:19:59.999994",
          "2017-10-27T00:29:59.999999",
          "2017-10-27T00:39:59.999993",
          "2017-10-27T00:49:59.999998",
          "2017-10-27T00:59:59.999992",
          "2017-10-27T01:09:59.999997",
          "2017-10-27T01:19:59.999991",
          "2017-10-27T01:29:59.999996",
          "2017-10-27T01:40:00",
          "2017-10-27T01:49:59.999994",
          "2017-10-27T01:59:59.999999",
          "2017-10-27T02:09:59.999993",
          "2017-10-27T02:19:59.999998",
          "2017-10-27T02:29:59.999992",
          "2017-10-27T02:39:59.999997",
          "2017-10-27T02:49:59.999991",
          "2017-10-27T02:59:59.999996",
          "2017-10-27T03:10:00",
          "2017-10-27T03:19:59.999994",
          "2017-10-27T03:29:59.999999",
          "2017-10-27T03:39:59.999993",
          "2017-10-27T03:49:59.999998",
          "2017-10-27T03:59:59.999992",
          "2017-10-27T04:09:59.999997",
          "2017-10-27T04:19:59.999991",
          "2017-10-27T04:29:59.999996",
          "2017-10-27T04:40:00",
          "2017-10-27T04:49:59.999994",
          "2017-10-27T04:59:59.999999",
          "2017-10-27T05:09:59.999993",
          "2017-10-27T05:19:59.999998",
          "2017-10-27T05:29:59.999992",
          "2017-10-27T05:39:59.999997",
          "2017-10-27T05:49:59.999991",
          "2017-10-27T05:59:59.999996",
          "2017-10-27T06:10:00",
          "2017-10-27T06:19:59.999994",
          "2017-10-27T06:29:59.999999",
          "2017-10-27T06:39:59.999993",
          "2017-10-27T06:49:59.999998",
          "2017-10-27T06:59:59.999992",
          "2017-10-27T07:09:59.999997",
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           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "HKNA"
        },
        "width": 1000,
        "yaxis": {
         "title": {
          "text": "Significant wave height [m]"
         }
        }
       }
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "cc[\"HKNA\"].plot_timeseries(width=1000,backend=\"plotly\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 576x576 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "cc[\"EPL\"].scatter(figsize=(8,8), show_hist=True) #, ylim=[2,8], xlim=[1,10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "line": {
          "color": "red"
         },
         "mode": "lines",
         "name": "Fit: y=1.00x-0.09",
         "type": "scatter",
         "x": [
          1.0299999713897705,
          1.2400000095367432,
          1.340000033378601,
          1.5499999523162842,
          1.659999966621399,
          1.7999999523162842,
          2.0199999809265137,
          2.0799999237060547,
          2.0799999237060547,
          2.1500000953674316,
          2.200000047683716,
          2.1500000953674316,
          2.1500000953674316,
          2.0899999141693115,
          2.0199999809265137,
          2.0299999713897705,
          1.8899999856948853,
          1.75,
          1.690000057220459,
          1.7699999809265137,
          1.4800000190734863,
          1.5,
          1.5800000429153442,
          1.690000057220459,
          1.8200000524520874,
          1.8600000143051147,
          2.109999895095825,
          2.2799999713897705,
          2.319999933242798,
          2.3299999237060547,
          2.2899999618530273,
          2.430000066757202,
          2.440000057220459,
          2.4200000762939453,
          2.4800000190734863,
          2.4600000381469727,
          2.7799999713897705,
          2.7200000286102295,
          2.740000009536743,
          2.619999885559082,
          2.799999952316284,
          2.990000009536743,
          2.9100000858306885,
          2.9600000381469727,
          3.319999933242798,
          2.869999885559082,
          3.2699999809265137,
          3.390000104904175,
          3.359999895095825,
          4.130000114440918,
          4.070000171661377,
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              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
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             "#9c179e"
            ],
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             "#bd3786"
            ],
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             "#d8576b"
            ],
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            ],
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            ]
           ],
           "sequentialminus": [
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             "#0d0887"
            ],
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            ],
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            ],
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            ],
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             "#bd3786"
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             "#ed7953"
            ],
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             "#fb9f3a"
            ],
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             "#fdca26"
            ],
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             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "HKZN_local vs EPL",
         "x": 0.5,
         "xanchor": "center",
         "y": 0.9,
         "yanchor": "top"
        },
        "width": 600,
        "xaxis": {
         "range": [
          1.0299999713897705,
          4.269999980926514
         ],
         "title": {
          "text": "Observation, Significant wave height [m]"
         }
        },
        "yaxis": {
         "range": [
          1.0299999713897705,
          4.269999980926514
         ],
         "scaleanchor": "x",
         "scaleratio": 1,
         "title": {
          "text": "Model, Significant wave height [m]"
         }
        }
       }
      }
     },
     "metadata": {}
    }
   ],
   "source": [
    "cc[\"EPL\"].scatter(show_hist=True, backend='plotly', width=600, height=600) #,xlim=[-1,11])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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K3759efLJJ3fYtmHDBlauXEmHDh12SvxmRu/evampqeG5555j0qRJnHjiiZx11ln07duXN998M247nTp1ar5/+umnM2nSJL744gtqamo4/vjjgWBdm1mzZlFeXs60adPaXKGxtSWCm3Ts2BEIpppSmetPhkbuIpJXhg8fzqZNm/jtb38LBEsFX3PNNYwbN4599tmHOXPm8MUXX7B582ZmzZrFMcccw6effso+++zDd7/7Xa699lrmz59Pnz59WLt2bXNyb2hoaHXkXVJSwuDBg7n66qsZOXIkHTp0AIKVLLt3705DQwPTp09vLt+0mmRL3/zmN1mxYgUffvghAA8//DDHHXdcRvsnURq5i0iruk64MmN1JbqWu5nx9NNPc/nll3Prrbeyfft2Tj31VH7yk5/w2GOPceyxx3LhhRfy4Ycfcv7551NZWcmLL77Iddddx1577UVhYSG/+c1v2HvvvXniiSe46qqrWL9+PY2NjUycOJG+ffvGbXfMmDGMHj16h9H5rbfeylFHHcXXv/51+vXr1/wczj33XC699FLuueee5g9SIViu93/+538YPXp08xLBl112WeqdlgZr621EJlVWVvq8efOyVn8+rrGd1nruGfzDak0+9lkTxZa8TKznfthhh2UuoBj5uoZLvsUV+xo0vZ5mVuPulcnUo2kZEZEIUnIXEYkgJXcR2UF7TtXKjjLZ90ruItKsqKiIdevWKcHngLuzbt06ioqKMlKfzpYRkWYHHXQQq1atYu3atRmvu76+PmOJK5PyKa6ioiIOOuigjNSl5C4izQoLC+nVq1dW6q6urmbAgJ0u6pZz+RpXujQtIyISQUruIiIRpOQuIhJBSu4iIhGk5C4iEkFK7iIiEaTkLiISQW0mdzM72MxeMbOlZrbEzK4Ot08xs0/MbEF4OzX74YqISCIS+RJTI3CNu883s1KgxszmhPvucvfsXghQRESS1mZyd/fVwOrwfq2ZLQV6ZDswERFJXVIX6zCznsBrwBHA94FxwAZgHsHo/h9xjhkPjAcoKyurmDFjRtpBt6auro6SkpKs1Z+KxjXBGh2bCwsobkjumokF3bpmI6Qd5GOfNVFsycvXuCB/Y8vXuOCr2IYNG5b0xToSTu5mVgK8Cvynuz9lZmXA54ADtwLd3f3iXdWhKzHpSkzJUGzJy9e4IH9jy9e4oB2uxGRmhcCTwHR3fwrA3T9z923uvh24DxicbOAiIpIdiZwtY8ADwFJ3/3nM9u4xxc4CFmc+PBERSUUiZ8scA1wIvGtmC8JtNwDnmVl/gmmZFcC/ZyE+ERFJQSJny7wOWJxdz2U+HBERyQR9Q1VEJIKU3EVEIkjJXUQkgpTcRUQiSMldRCSClNxFRCJIyV1EJIKU3EVEIkjJXUQkgpTcRUQiSMldRCSClNxFRCJIyV1EJIKU3EVEIkjJXUQkgpTcRUQiSMldRCSClNxFRCJIyV1EJIKU3EVEIkjJXUQkgpTcRUQiSMldRCSClNxFRCKozeRuZgeb2StmttTMlpjZ1eH2/c1sjpl9EP78WvbDFRGRRCQycm8ErnH3w4BvAVeY2eHA9cDL7n4o8HL4WERE8kCbyd3dV7v7/PB+LbAU6AGcATwUFnsIODNLMYqISJLM3RMvbNYTeA04AvjY3feL2fcPd99pasbMxgPjAcrKyipmzJiRZsiwet36uNs7doAt21o/rnuXzmm3nazGNWsB2FxYQHFDY1LHFnTrmo2QdlBXV0dJSUnW20mFYktevsYF+RtbvsYFX8U2bNiwGnevTObYgkQLmlkJ8CQw0d03mFlCx7n7VGAqQGVlpVdVVSUTX1xTps2Ou71PqbOstvW4zhuVftvJWvvLewFYWFZG+WefJXVs1++MzkZIO6iuriYTr0k2KLbk5WtckL+x5WtckF5sCZ0tY2aFBIl9urs/FW7+zMy6h/u7A2tSikBERDIukbNlDHgAWOruP4/ZNRsYG94fC/w+8+GJiEgqEpmWOQa4EHjXzBaE224AbgceN7NLgI+B7M8hiIhIQtpM7u7+OtDaRPbwzIYjIiKZoG+oiohEkJK7iEgEKbmLiESQkruISAQpuYuIRJCSu4hIBCm5i4hEkJK7iEgEJbxwWBS0tuBYW/rOnUNV/z4ZjkZEJHs0chcRiSAldxGRCFJyFxGJICV3EZEIUnIXEYmgPepsmVypXrCMgqGdqV6wLKnjlkybzZRxp2cpKhGJMo3cRUQiSMldRCSClNxFRCJIyV1EJIKU3EVEIkjJXUQkgpTcRUQiSMldRCSClNxFRCKozeRuZg+a2RozWxyzbYqZfWJmC8LbqdkNU0REkpHIyH0acHKc7Xe5e//w9lxmwxIRkXS0mdzd/TXgi3aIRUREMiSdOfcrzWxROG3ztYxFJCIiaTN3b7uQWU/gWXc/InxcBnwOOHAr0N3dL27l2PHAeICysrKKGTNmpB306nXr427v2AG2bEu7+p0U1W2gtLgo5eNrN9djJZ3wuo1JHVdfsi/du3ROud1E1NXVUVJSktU2UqXYkpevcUH+xpavccFXsQ0bNqzG3SuTOTalJX/d/bOm+2Z2H/DsLspOBaYCVFZWelVVVSpN7qC1C133KXWW1Vra9bfUd+7blKdxgexgyd/BNL72dlLHLRsygvNGVaXcbiKqq6vJxGuSDYotefkaF+RvbPkaF6QXW0rTMmbWPebhWcDi1sqKiEj7a3PkbmaPAVXAAWa2CpgMVJlZf4JpmRXAv2cvRBERSVabyd3dz4uz+YEsxCIiIhmib6iKiESQrqGax/rOncPa2o9TOrbrhCszHI2I7E40chcRiSAldxGRCFJyFxGJICV3EZEIUnIXEYkgJXcRkQjSqZAJql6wLNchiIgkTCN3EZEIUnIXEYkgJXcRkQhSchcRiSAldxGRCFJyFxGJICV3EZEIUnIXEYkgJXcRkQhSchcRiSAldxGRCFJyFxGJICV3EZEIUnIXEYkgJXcRkQhSchcRiaA2k7uZPWhma8xsccy2/c1sjpl9EP78WnbDFBGRZCQycp8GnNxi2/XAy+5+KPBy+FhERPJEm8nd3V8Dvmix+QzgofD+Q8CZmQ1LRETSYe7ediGznsCz7n5E+PhLd98vZv8/3D3u1IyZjQfGA5SVlVXMmDEj7aBXr1sfd3vHDrBlW9rV76SobkPadVhJJ7xuY9LHlRYXpdReQbeuCZWrq6ujpKQkpTayTbElL1/jgvyNLV5creWYtnTv0jkTITVrim3YsGE17l6ZzLFZv0C2u08FpgJUVlZ6VVVV2nVOmTY77vY+pc6yWku7/pb6zn077ToKhg6m8bXk6ynv3yel9rp+Z3RC5aqrq8nEa5INii15+RoX5G9s8eJqLce05bxRVW2WSUY6fZbq2TKfmVl3gPDnmhTrERGRLEg1uc8Gxob3xwK/z0w4IiKSCYmcCvkY8CbQx8xWmdklwO3ACDP7ABgRPhYRkTzR5py7u5/Xyq7hGY5FREQyRN9QFRGJICV3EZEIUnIXEYkgJXcRkQhSchcRiSAldxGRCFJyFxGJICV3EZEIUnIXEYkgJXcRkQhSchcRiSAldxGRCFJyFxGJICV3EZEIyvpl9iQ91QuWpXTckmmzmTLu9AxHI9K+Ur3cHbDH//5r5C4iEkFK7iIiEaTkLiISQUruIiIRpOQuIhJBSu4iIhG0R5wK2XfunFyHIBIpa395b9LHNJaVNR/XdcKVKbed6N/z2tqPd9qWTru7G43cRUQiSMldRCSC0pqWMbMVQC2wDWh098pMBCUiIunJxJz7MHf/PAP1iIhIhmhaRkQkgszdUz/Y7CPgH4AD/+3uU+OUGQ+MBygrK6uYMWNGyu01Wb1ufdztHTvAlm07by+q25B2m+mykk543cZ2a6++ZF+6d+ncZrm6ujpKSkraIaLkRTm21n6HExH7ujauWbvDvs2FBRQ3NCZUT0G3rgm32TLeZP6mSouLdoot0bbj9VOibTe1Gyteu/Fey1Rfn0T+5pLRFNuwYcNqkp32Tnda5hh3/9TMugFzzOx9d38ttkCY8KcCVFZWelVVVZpNtr5SXJ9SZ1mt7bS979y3024zXQVDB9P4WvvFsWzICM4bVdVmuerqajLxmmRDlGNLZ7XD2Ne15SmJC8vKKP/ss4Tq6fqd0Qm32TLeZP6myvv32Sm2RNuO10+Jtt3Ubqx47cZ7LVN9fRL5m0tGOr9naU3LuPun4c81wNPA4HTqExGRzEg5uZtZJzMrbboPnAgszlRgIiKSunSmZcqAp82sqZ5H3f2FjEQlIiJpSTm5u/vfgPIMxiIiIhmiUyFFRCJoj1g4TCRKYs/k6NviGrsFQzvv8rq7VTFnkCSz+FfLdtKVaNvptBuvH5bEOQumT6mndfZSvtLIXUQkgpTcRUQiSMldRCSClNxFRCJIyV1EJIKU3EVEImi3ORUy9tSp1k6PKhg6OC8WCcsHfefOiXsNyZZir2vZZE+6zmSTZK8JGq/fkhH7O7xkyIiU6xFpjUbuIiIRpOQuIhJBSu4iIhGk5C4iEkFK7iIiEbTbnC0je4bYM1CSOSOlesGylM86mTLu9JSOk91P37lzdtqW6Fl2u9tZTRq5i4hEkJK7iEgEKbmLiESQkruISAQpuYuIRJCSu4hIBOlUSNlJOgtiibTUdC3Ttq7vmu/inUbZ0q4W62vvBfk0chcRiSAldxGRCFJyFxGJoLSSu5mdbGbLzOxDM7s+U0GJiEh6Uk7uZtYB+BVwCnA4cJ6ZHZ6pwEREJHXpjNwHAx+6+9/cfSswAzgjM2GJiEg6zN1TO9DsHOBkd/+38PGFwFHufmWLcuOB8eHDPkA2z4U6APg8i/WnI19jy9e4QLGlIl/jgvyNLV/jgq9i+7q7d03mwHTOc7c423b6T+HuU4GpabSTMDOb5+6V7dFWsvI1tnyNCxRbKvI1Lsjf2PI1LkgvtnSmZVYBB8c8Pgj4NI36REQkQ9JJ7u8Ah5pZLzPbGzgXmJ2ZsEREJB0pT8u4e6OZXQm8CHQAHnT3JRmLLDXtMv2TonyNLV/jAsWWinyNC/I3tnyNC9KILeUPVEVEJH/pG6oiIhGk5C4iEkG7XXI3swfNbI2ZLW5lf5WZrTezBeHtpnaM7WAze8XMlprZEjO7Ok4ZM7N7wiUbFpnZwDyJKyf9ZmZFZva2mS0MY7s5Tplc9FkiceXsdy1sv4OZ/cXMno2zr937LMG4cvn3ucLM3g3bnRdnfy77rK3Yku83d9+tbsBQYCCwuJX9VcCzOYqtOzAwvF8KLAcOb1HmVOB5gu8JfAv4c57ElZN+C/uhJLxfCPwZ+FYe9FkiceXsdy1s//vAo/FiyEWfJRhXLv8+VwAH7GJ/LvusrdiS7rfdbuTu7q8BX+Q6jnjcfbW7zw/v1wJLgR4tip0B/NYDbwH7mVn3PIgrJ8J+qAsfFoa3lp/y56LPEokrZ8zsIODbwP2tFGn3PkswrnyWkz7Llt0uuSfoX8K308+bWd9cBGBmPYEBBCO+WD2AlTGPV9GOiXYXcUGO+i18G78AWAPMcfe86LME4oLc/a79Avi/wPZW9ufq9+wX7DouyF2fOfBHM6uxYFmUlnL5t9lWbJBkv0XxMnvzCdZhqDOzU4FZwKHtGYCZlQBPAhPdfUPL3XEOaZcRYRtx5azf3H0b0N/M9gOeNrMj3D32M5Wc9FkCceWkz8xsJLDG3WvMrKq1YnG2ZbXPEowrl3+fx7j7p2bWDZhjZu+HMwFNcva3mUBsSfdb5Ebu7r6h6e20uz8HFJrZAe3VvpkVEiTQ6e7+VJwiOVm2oa24ct1vYbtfAtXAyS125XSpi9biymGfHQOcbmYrCFZjPd7MHmlRJhd91mZcufw9c/dPw59rgKcJVraNlbPfs7ZiS6XfIpfczeyfzMzC+4MJnuO6dmrbgAeApe7+81aKzQb+Nfxk/lvAendfneu4ctVvZtY1HBljZsXACcD7LYrlos/ajCtXfebuk9z9IHfvSbDsx5/c/bstirV7nyUSVw5/zzqZWWnTfeBEoOUZd+3eZ4nGlkq/7XbTMmb2GMEnxweY2SpgMsGHXbj7fwHnAN8zs0ZgM3Cuhx83t4NjgAuBd8O5WoAbgENi4nuO4FP5D4FNwEV5Eleu+q078JAFF3/ZC3jc3Z81s8tiYstFnyUSVy5/13aSB32WSFy56rMygqk1CPLeo+7+Qp70WSKxJd1vWn5ARCSCIjctIyIiSu4iIpGk5C4iEkFK7iIiEaTkLiISQUrueygz+6EFqx0usmCVuaPC7feb2eEp1nmgmT0R8/ixsP7/MLNbzOyETMUf1j/RzPbJZJ3pMLMpZnZtksc813Q+/S7KVJvZThdJNrP+4bcV4x0zzszWmllSa7yY2R1m9r/JPg/JP7vdee6SPjP7F2AkwUqRW8Jvuu0N4O7/lmq94bfszgnb+CfgaHf/egZCbs1E4BGCc5J3S+4eNzknqD9QSXB+djwz3f3KJOO5zsw2phGT5AmN3PdM3YHP3X0LgLt/3vT159hRopldYmbLw233mdm94fZpFqx7/YaZ/c3MmhJ6T/tqnf0/At3CdwVDwmOayg0Kj11owZrppeGxc81sfng7OixbFbb/hJm9b2bTw28QXgUcCLxiZq/EPjkzG2xmT4X3zzCzzWa2twVrtP8t3H6pmb0TxvCkme1jZp0tWFd7r7DMPma20swKzewbZvaCBQs7zTWzb7bSt4eH8f4tjLEppu+Gz3WBmf13+OWopnW8Dwjv3xg+xznhu57Y0fPo8PjlYX/uDdwCjAnrHLOrFzwcyc8ys2fM7CMzu9LMvm/Buutvmdn+uzpedj9K7numPwIHh4ni12Z2XMsCZnYgcCPButYjgJbJrDtwLME7gNvjtHE68Fd37+/uc2Pq3RuYCVzt7uUEX+vfTLDy4gh3HwiMAe6JqWsAwSj9cOD/ECyydA/Buh/D3H1Yi7bnh8cADCH4Kvcg4Ci+Wg3zKXcfFMawFLjE3dcDC4Gm/jgNeNHdGwguVDzB3SuAa4Ffx3nOhP10EsHaIJPDfwyHhc/pGHfvD2wDLog9KPyHOiqM+2yCEXmsAncfHPbDZHffCtxEMDrv7+4zW4kn1hHA+WFs/wlscvcBwJvAvyZwvOxGNC2zBwpXlqsgSHzDgJlmdr27T4spNhh41d2/ADCz3wG9Y/bPcvftwHtmVpZE832A1e7+ThjLhrD+TsC9ZtafIPnFtvW2u68Kyy0AegKv7+L5NVpwNZ3Dwufxc4KLvHQAmv7RHGFmPwb2A0qAF8PtMwkS8SsE66P82oLVNI8GfmfWvHBgx1aa/0P4jmiLma0h+Gr5cKACeCc8vpjgn1msY4Hfu/vm8Hk+02J/02JvNeHzT8UrHqznX2tm64GmNt4FjkyxTslTSu57qHA522qg2szeBcYC02KKxFv+NNaWJMrGMuIvo/ofwGdAOcE7yvpW2tpGYr+3c4FTgAbgJYLn1oFg1E34+Ex3X2hm4wjWK4Jg8ajbwmmKCuBPQCfgy3DU3ZZ4sRrwkLtP2sVxifZ3os+/rdi2xzzenkadkqc0LbMHMrM+Zha7FnR/4O8tir0NHGdmXzOzAoIpg0x4HzjQzAaFsZSG9XcmGNFvJ1jkrEMCddUSXDYwntcIpjDedPe1QBeCKZMl4f5SYLUFSyE3T5GEy6q+DdxNcFmzbeG7i4/MbHQYs5lZeRLP+WXgHAvW6sbM9jezlh80vw6cFn4uUEJwNaO27Or5yx5OyX3PVEKw4uF7ZraIYC57SmwBd/8E+AnBHPVLwHvA+nQbDueKxwC/NLOFwBygiGAOe6yZvUUwJZPIGRtTgedbfqAa+jPBlEjTBQ8WAYtiVtK7MSwzh52XGJ4JfDf82eQC4JIw5iUEl2RLiLu/B/yI4Eo7i8I2u7co8w7Bu4aFBFMw82i7v18h+AC3zQ9UZc+jVSGlVWZWEs7PFxBcQOBBd38613FFVUx/70PwT2m8h9e+TaGucUBlsqdChsdOAerc/c5U2pb8oJG77MqU8APMxcBHBJf2kuyZGvb3fODJVBN7aDNwiqXwJSaCdy061303p5G7iEgEaeQuIhJBSu4iIhGk5C4iEkFK7iIiEaTkLiISQf8fNog4HGesSkUAAAAASUVORK5CYII=\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "cc[\"c2\"].hist(bins=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 576x576 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "cc[\"HKNA\"].scatter(binsize=0.25, cmap=\"viridis\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "mr.plot_temporal_coverage();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "mr.plot_temporal_coverage(limit_to_model_period=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Automatic reporting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fmskill.report import Reporter\n",
    "rep = Reporter(mr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture \n",
    "rep.to_markdown(); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python385jvsc74a57bd01b27a185e5e38addd349bee67c436665dc7832e161e2a923b2540665280bf8fe",
   "display_name": "Python 3.8.5 64-bit ('base': conda)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}