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 "cells": [
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pre-matched data with auxiliary data\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import modelskill as ms\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn = \"../tests/testdata/SW/eur_matched.dfs0\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The function `from_matched()` takes a dataframe, a dfs0 or a mikeio.Dataset of already matched data and returns a Comparer object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Wind speed', 'Wind Direction')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp = ms.from_matched(fn, obs_item=1, mod_items=[0])\n",
    "cmp.aux_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NOTE: we rename data_vars to avoid spaces in names\n",
    "cmp = cmp.rename({\"Wind speed\": \"wind_speed\", \"Wind Direction\": \"wind_dir\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('wind_speed', 'wind_dir')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp.aux_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Comparer>\n",
       "Quantity: Significant wave height [meter]\n",
       "Observation: Hm0, obs, n_points=67\n",
       " Model: Hm0, model, rmse=0.228\n",
       " Auxiliary: wind_speed\n",
       " Auxiliary: wind_dir"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 67)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2017-10-27 ... 2017-10-29T18:00:00\n",
       "Data variables:\n",
       "    Observation  (time) float64 0.92 1.03 1.24 1.34 1.55 ... 3.24 3.23 3.36 3.23\n",
       "    Hm0, model   (time) float64 1.43 1.655 1.789 1.834 ... 3.473 3.395 3.307\n",
       "    wind_speed   (time) float64 9.754 11.06 11.42 10.93 ... 13.54 13.06 12.87\n",
       "    wind_dir     (time) float64 327.4 331.5 333.3 330.2 ... 343.6 343.7 345.9\n",
       "    x            float64 nan\n",
       "    y            float64 nan\n",
       "Attributes:\n",
       "    name:           Hm0, obs\n",
       "    gtype:          point\n",
       "    quantity_name:  Significant wave height</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e0741c7a-3b8b-42fb-9b6b-5e85cc1e10bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e0741c7a-3b8b-42fb-9b6b-5e85cc1e10bf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 67</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-78351ab7-3f4f-433d-85c0-fad454958b26' class='xr-section-summary-in' type='checkbox'  checked><label for='section-78351ab7-3f4f-433d-85c0-fad454958b26' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-10-27 ... 2017-10-29T18:00:00</div><input id='attrs-1ce7e13f-3610-4544-a16f-721568d294d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ce7e13f-3610-4544-a16f-721568d294d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9115e6c-2279-4962-8c31-e903b323d2c5' class='xr-var-data-in' type='checkbox'><label for='data-c9115e6c-2279-4962-8c31-e903b323d2c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-10-27T00:00:00.000000000&#x27;, &#x27;2017-10-27T01:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T02:00:00.000000000&#x27;, &#x27;2017-10-27T03:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T04:00:00.000000000&#x27;, &#x27;2017-10-27T05:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T06:00:00.000000000&#x27;, &#x27;2017-10-27T07:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T08:00:00.000000000&#x27;, &#x27;2017-10-27T09:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T10:00:00.000000000&#x27;, &#x27;2017-10-27T11:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T12:00:00.000000000&#x27;, &#x27;2017-10-27T13:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T14:00:00.000000000&#x27;, &#x27;2017-10-27T15:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T16:00:00.000000000&#x27;, &#x27;2017-10-27T17:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T18:00:00.000000000&#x27;, &#x27;2017-10-27T19:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T20:00:00.000000000&#x27;, &#x27;2017-10-27T21:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-27T22:00:00.000000000&#x27;, &#x27;2017-10-27T23:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T00:00:00.000000000&#x27;, &#x27;2017-10-28T01:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T02:00:00.000000000&#x27;, &#x27;2017-10-28T03:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T04:00:00.000000000&#x27;, &#x27;2017-10-28T05:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T06:00:00.000000000&#x27;, &#x27;2017-10-28T07:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T08:00:00.000000000&#x27;, &#x27;2017-10-28T09:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T10:00:00.000000000&#x27;, &#x27;2017-10-28T11:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T12:00:00.000000000&#x27;, &#x27;2017-10-28T13:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T14:00:00.000000000&#x27;, &#x27;2017-10-28T15:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T16:00:00.000000000&#x27;, &#x27;2017-10-28T17:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T18:00:00.000000000&#x27;, &#x27;2017-10-28T19:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T20:00:00.000000000&#x27;, &#x27;2017-10-28T21:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-28T22:00:00.000000000&#x27;, &#x27;2017-10-28T23:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T00:00:00.000000000&#x27;, &#x27;2017-10-29T01:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T02:00:00.000000000&#x27;, &#x27;2017-10-29T03:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T04:00:00.000000000&#x27;, &#x27;2017-10-29T05:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T06:00:00.000000000&#x27;, &#x27;2017-10-29T07:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T08:00:00.000000000&#x27;, &#x27;2017-10-29T09:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T10:00:00.000000000&#x27;, &#x27;2017-10-29T11:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T12:00:00.000000000&#x27;, &#x27;2017-10-29T13:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T14:00:00.000000000&#x27;, &#x27;2017-10-29T15:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T16:00:00.000000000&#x27;, &#x27;2017-10-29T17:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-29T18:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a857f7cd-6f7b-44b9-bb13-477709474c99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a857f7cd-6f7b-44b9-bb13-477709474c99' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Observation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.92 1.03 1.24 ... 3.23 3.36 3.23</div><input id='attrs-a815fc09-72c4-4cfb-b169-da6f1919b9ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a815fc09-72c4-4cfb-b169-da6f1919b9ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc0e91c-b2d8-4e41-9607-352c59e94bfd' class='xr-var-data-in' type='checkbox'><label for='data-8bc0e91c-b2d8-4e41-9607-352c59e94bfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>kind :</span></dt><dd>observation</dd><dt><span>color :</span></dt><dd>black</dd><dt><span>unit :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([0.92000002, 1.02999997, 1.24000001, 1.34000003, 1.54999995,\n",
       "       1.65999997, 1.79999995, 2.01999998, 2.07999992, 2.07999992,\n",
       "       2.1500001 , 2.20000005, 2.1500001 , 2.1500001 , 2.08999991,\n",
       "       2.01999998, 2.02999997, 1.88999999, 1.75      , 1.69000006,\n",
       "       1.76999998, 1.48000002, 1.5       , 1.58000004, 1.69000006,\n",
       "       1.82000005, 1.86000001, 2.1099999 , 2.27999997, 2.31999993,\n",
       "       2.32999992, 2.28999996, 2.43000007, 2.44000006, 2.42000008,\n",
       "       2.48000002, 2.46000004, 2.77999997, 2.72000003, 2.74000001,\n",
       "       2.61999989, 2.79999995, 2.99000001, 2.91000009, 2.96000004,\n",
       "       3.31999993, 2.86999989, 3.26999998, 3.3900001 , 3.3599999 ,\n",
       "       4.13000011, 4.07000017, 4.01000023, 4.26999998, 3.97000003,\n",
       "       4.15999985, 3.8900001 , 4.17999983, 3.63000011, 3.79999995,\n",
       "       3.47000003, 3.46000004, 3.36999989, 3.24000001, 3.23000002,\n",
       "       3.3599999 , 3.23000002])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Hm0, model</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.43 1.655 1.789 ... 3.395 3.307</div><input id='attrs-df23775f-a902-4e98-88cd-487820af7aba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df23775f-a902-4e98-88cd-487820af7aba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3c06962-eefa-4d6a-987c-c99f3b797c82' class='xr-var-data-in' type='checkbox'><label for='data-b3c06962-eefa-4d6a-987c-c99f3b797c82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>kind :</span></dt><dd>model</dd></dl></div><div class='xr-var-data'><pre>array([1.43012357, 1.65531552, 1.78946149, 1.83432007, 1.85007548,\n",
       "       1.88810992, 1.91699803, 1.98814738, 2.03688717, 2.03490376,\n",
       "       2.01962423, 2.00415182, 1.94293642, 1.85048389, 1.77836597,\n",
       "       1.75923872, 1.75259233, 1.75367975, 1.72203565, 1.64668751,\n",
       "       1.57914627, 1.52860236, 1.50953329, 1.56580639, 1.64933288,\n",
       "       1.72945035, 1.84817863, 1.97161794, 2.1112957 , 2.19987416,\n",
       "       2.29758883, 2.36435962, 2.41646504, 2.47689247, 2.48058844,\n",
       "       2.45307708, 2.45904875, 2.47637129, 2.55487871, 2.68618751,\n",
       "       2.83624077, 2.96349311, 3.08343101, 3.14569426, 3.15837502,\n",
       "       3.20412183, 3.24757648, 3.30238676, 3.41156077, 3.52448201,\n",
       "       3.74735975, 3.9755125 , 4.14409924, 4.26423264, 4.30005264,\n",
       "       4.25883722, 4.15624857, 4.0532217 , 3.99341106, 3.97029829,\n",
       "       3.93167901, 3.77592611, 3.63365626, 3.53073692, 3.47268701,\n",
       "       3.39540291, 3.3068819 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.754 11.06 11.42 ... 13.06 12.87</div><input id='attrs-3fa81430-a24c-45be-8d44-8f5bd41f1fd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fa81430-a24c-45be-8d44-8f5bd41f1fd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4aa0a24-48f1-42cf-b35d-7ccef4b03a68' class='xr-var-data-in' type='checkbox'><label for='data-b4aa0a24-48f1-42cf-b35d-7ccef4b03a68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>kind :</span></dt><dd>auxiliary</dd></dl></div><div class='xr-var-data'><pre>array([ 9.75422764, 11.05792618, 11.41961288, 10.93108845, 11.59212685,\n",
       "       11.50384808, 11.65175247, 12.03963852, 11.58486843, 11.15458775,\n",
       "       10.9690237 , 10.31010818,  9.36198521,  7.5320425 ,  7.88942194,\n",
       "        8.23822212,  8.55280876,  8.85723591,  8.33512497,  7.71903372,\n",
       "        7.88614607,  8.11098766,  9.22024536, 10.71835136, 11.26555157,\n",
       "       11.58329678, 12.29633713, 12.95066452, 13.37149906, 13.2597723 ,\n",
       "       13.52050114, 13.86180305, 13.53653717, 13.54683971, 13.14327049,\n",
       "       12.56189728, 12.56243896, 12.59917164, 13.45185947, 14.30421638,\n",
       "       15.24296665, 15.61402416, 16.41535378, 15.84278202, 15.97074413,\n",
       "       16.34448814, 16.65880013, 17.06884575, 17.3742485 , 17.63953781,\n",
       "       18.84160423, 18.75466156, 18.17855644, 17.60562897, 17.0172348 ,\n",
       "       16.37489319, 15.27303028, 15.21595955, 14.86328125, 15.18598461,\n",
       "       14.70676708, 13.52915859, 13.29970551, 13.29527473, 13.5355835 ,\n",
       "       13.06369305, 12.87180138])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_dir</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>327.4 331.5 333.3 ... 343.7 345.9</div><input id='attrs-3e29425e-d0b0-4032-840b-139bc03ea967' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e29425e-d0b0-4032-840b-139bc03ea967' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1578969-557d-4dd1-a644-aaf0b962729a' class='xr-var-data-in' type='checkbox'><label for='data-c1578969-557d-4dd1-a644-aaf0b962729a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>kind :</span></dt><dd>auxiliary</dd></dl></div><div class='xr-var-data'><pre>array([327.40255737, 331.50585938, 333.26519775, 330.1819458 ,\n",
       "       329.84255981, 330.83706665, 332.21621704, 334.30059814,\n",
       "       339.52163696, 340.134552  , 346.37115479, 351.52597046,\n",
       "       352.15368652, 342.68927002, 335.25900269, 332.52694702,\n",
       "       331.50216675, 332.73135376, 323.90362549, 315.73312378,\n",
       "       303.58590698, 293.41372681, 283.28015137, 282.3427124 ,\n",
       "       281.49691772, 282.24893188, 284.72872925, 288.24108887,\n",
       "       288.14099121, 291.40057373, 293.46334839, 287.16912842,\n",
       "       287.4234314 , 286.82751465, 282.67053223, 281.55844116,\n",
       "       277.71987915, 274.09899902, 277.03219604, 278.20327759,\n",
       "       280.80819702, 284.3190918 , 287.29998779, 281.2434082 ,\n",
       "       281.49319458, 282.18078613, 282.68603516, 285.64093018,\n",
       "       286.8213501 , 290.25241089, 301.35461426, 312.87652588,\n",
       "       324.72293091, 336.34906006, 341.91207886, 340.01062012,\n",
       "       339.22665405, 342.81564331, 344.95181274, 346.12741089,\n",
       "       345.7918396 , 346.46191406, 342.99346924, 340.83685303,\n",
       "       343.58926392, 343.68731689, 345.85305786])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-fb8d8b6f-e275-4f88-b931-72ee16bbc515' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb8d8b6f-e275-4f88-b931-72ee16bbc515' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a79b2ba0-7973-47b1-b1f3-fbd589725e9c' class='xr-var-data-in' type='checkbox'><label for='data-a79b2ba0-7973-47b1-b1f3-fbd589725e9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>kind :</span></dt><dd>position</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-815dde9c-5a5f-44bf-b8c0-b307ca59b60a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-815dde9c-5a5f-44bf-b8c0-b307ca59b60a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aecf781-727f-45b7-9fda-fc8d34064d0c' class='xr-var-data-in' type='checkbox'><label for='data-9aecf781-727f-45b7-9fda-fc8d34064d0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>kind :</span></dt><dd>position</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6290a7a5-20c9-4da9-8954-cc1439f50ee0' class='xr-section-summary-in' type='checkbox'  ><label for='section-6290a7a5-20c9-4da9-8954-cc1439f50ee0' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8a8bdde-d1e6-447e-af25-9e58b5ca1eea' class='xr-index-data-in' type='checkbox'/><label for='index-c8a8bdde-d1e6-447e-af25-9e58b5ca1eea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2017-10-27 00:00:00&#x27;, &#x27;2017-10-27 01:00:00&#x27;,\n",
       "               &#x27;2017-10-27 02:00:00&#x27;, &#x27;2017-10-27 03:00:00&#x27;,\n",
       "               &#x27;2017-10-27 04:00:00&#x27;, &#x27;2017-10-27 05:00:00&#x27;,\n",
       "               &#x27;2017-10-27 06:00:00&#x27;, &#x27;2017-10-27 07:00:00&#x27;,\n",
       "               &#x27;2017-10-27 08:00:00&#x27;, &#x27;2017-10-27 09:00:00&#x27;,\n",
       "               &#x27;2017-10-27 10:00:00&#x27;, &#x27;2017-10-27 11:00:00&#x27;,\n",
       "               &#x27;2017-10-27 12:00:00&#x27;, &#x27;2017-10-27 13:00:00&#x27;,\n",
       "               &#x27;2017-10-27 14:00:00&#x27;, &#x27;2017-10-27 15:00:00&#x27;,\n",
       "               &#x27;2017-10-27 16:00:00&#x27;, &#x27;2017-10-27 17:00:00&#x27;,\n",
       "               &#x27;2017-10-27 18:00:00&#x27;, &#x27;2017-10-27 19:00:00&#x27;,\n",
       "               &#x27;2017-10-27 20:00:00&#x27;, &#x27;2017-10-27 21:00:00&#x27;,\n",
       "               &#x27;2017-10-27 22:00:00&#x27;, &#x27;2017-10-27 23:00:00&#x27;,\n",
       "               &#x27;2017-10-28 00:00:00&#x27;, &#x27;2017-10-28 01:00:00&#x27;,\n",
       "               &#x27;2017-10-28 02:00:00&#x27;, &#x27;2017-10-28 03:00:00&#x27;,\n",
       "               &#x27;2017-10-28 04:00:00&#x27;, &#x27;2017-10-28 05:00:00&#x27;,\n",
       "               &#x27;2017-10-28 06:00:00&#x27;, &#x27;2017-10-28 07:00:00&#x27;,\n",
       "               &#x27;2017-10-28 08:00:00&#x27;, &#x27;2017-10-28 09:00:00&#x27;,\n",
       "               &#x27;2017-10-28 10:00:00&#x27;, &#x27;2017-10-28 11:00:00&#x27;,\n",
       "               &#x27;2017-10-28 12:00:00&#x27;, &#x27;2017-10-28 13:00:00&#x27;,\n",
       "               &#x27;2017-10-28 14:00:00&#x27;, &#x27;2017-10-28 15:00:00&#x27;,\n",
       "               &#x27;2017-10-28 16:00:00&#x27;, &#x27;2017-10-28 17:00:00&#x27;,\n",
       "               &#x27;2017-10-28 18:00:00&#x27;, &#x27;2017-10-28 19:00:00&#x27;,\n",
       "               &#x27;2017-10-28 20:00:00&#x27;, &#x27;2017-10-28 21:00:00&#x27;,\n",
       "               &#x27;2017-10-28 22:00:00&#x27;, &#x27;2017-10-28 23:00:00&#x27;,\n",
       "               &#x27;2017-10-29 00:00:00&#x27;, &#x27;2017-10-29 01:00:00&#x27;,\n",
       "               &#x27;2017-10-29 02:00:00&#x27;, &#x27;2017-10-29 03:00:00&#x27;,\n",
       "               &#x27;2017-10-29 04:00:00&#x27;, &#x27;2017-10-29 05:00:00&#x27;,\n",
       "               &#x27;2017-10-29 06:00:00&#x27;, &#x27;2017-10-29 07:00:00&#x27;,\n",
       "               &#x27;2017-10-29 08:00:00&#x27;, &#x27;2017-10-29 09:00:00&#x27;,\n",
       "               &#x27;2017-10-29 10:00:00&#x27;, &#x27;2017-10-29 11:00:00&#x27;,\n",
       "               &#x27;2017-10-29 12:00:00&#x27;, &#x27;2017-10-29 13:00:00&#x27;,\n",
       "               &#x27;2017-10-29 14:00:00&#x27;, &#x27;2017-10-29 15:00:00&#x27;,\n",
       "               &#x27;2017-10-29 16:00:00&#x27;, &#x27;2017-10-29 17:00:00&#x27;,\n",
       "               &#x27;2017-10-29 18:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;H&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae0ffdf8-d723-435c-8a73-57d64574a1ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae0ffdf8-d723-435c-8a73-57d64574a1ca' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>Hm0, obs</dd><dt><span>gtype :</span></dt><dd>point</dd><dt><span>quantity_name :</span></dt><dd>Significant wave height</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 67)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2017-10-27 ... 2017-10-29T18:00:00\n",
       "Data variables:\n",
       "    Observation  (time) float64 0.92 1.03 1.24 1.34 1.55 ... 3.24 3.23 3.36 3.23\n",
       "    Hm0, model   (time) float64 1.43 1.655 1.789 1.834 ... 3.473 3.395 3.307\n",
       "    wind_speed   (time) float64 9.754 11.06 11.42 10.93 ... 13.54 13.06 12.87\n",
       "    wind_dir     (time) float64 327.4 331.5 333.3 330.2 ... 343.6 343.7 345.9\n",
       "    x            float64 nan\n",
       "    y            float64 nan\n",
       "Attributes:\n",
       "    name:           Hm0, obs\n",
       "    gtype:          point\n",
       "    quantity_name:  Significant wave height"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n</th>\n",
       "      <th>bias</th>\n",
       "      <th>rmse</th>\n",
       "      <th>urmse</th>\n",
       "      <th>mae</th>\n",
       "      <th>cc</th>\n",
       "      <th>si</th>\n",
       "      <th>r2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>observation</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Hm0, obs</th>\n",
       "      <td>67</td>\n",
       "      <td>0.052239</td>\n",
       "      <td>0.22824</td>\n",
       "      <td>0.222181</td>\n",
       "      <td>0.174851</td>\n",
       "      <td>0.968321</td>\n",
       "      <td>0.085898</td>\n",
       "      <td>0.929767</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              n      bias     rmse     urmse       mae        cc        si  \\\n",
       "observation                                                                  \n",
       "Hm0, obs     67  0.052239  0.22824  0.222181  0.174851  0.968321  0.085898   \n",
       "\n",
       "                   r2  \n",
       "observation            \n",
       "Hm0, obs     0.929767  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp.skill()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmp.plot.scatter(quantiles=0, figsize=(6,6));\n",
    "cmp.plot.timeseries();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter \n",
    "\n",
    "Filter on auxiliary data using `query()` or `where()`. Below, we consider only wave data when the wind speed is above 15 m/s."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Comparer>\n",
       "Quantity: Significant wave height [meter]\n",
       "Observation: Hm0, obs, n_points=19\n",
       " Model: Hm0, model, rmse=0.201\n",
       " Auxiliary: wind_speed\n",
       " Auxiliary: wind_dir"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp.query(\"wind_speed > 15.0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Comparer>\n",
       "Quantity: Significant wave height [meter]\n",
       "Observation: Hm0, obs, n_points=19\n",
       " Model: Hm0, model, rmse=0.201\n",
       " Auxiliary: wind_speed\n",
       " Auxiliary: wind_dir"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmp2 = cmp.where(cmp.data.wind_speed>15.0)\n",
    "cmp2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# notice that the model data is kept, but the observations are filtered\n",
    "cmp2.plot.timeseries();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More auxiliary data can be added, e.g. as derived data from the original data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cmp.data[\"residual\"] = cmp.data[\"Hm0, model\"] - cmp.data[\"Observation\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "large_residuals = np.abs(cmp.data.residual)>0.3\n",
    "cmp3 = cmp.where(large_residuals)\n",
    "cmp3.plot.scatter(quantiles=0, figsize=(6,6));\n",
    "cmp3.plot.timeseries();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aggregate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's split the data based on wind direction sector and aggregate the skill calculation of the significant wave height predition for each sector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note: in this short example wind direction is between 274 and 353 degrees\n",
    "df = cmp.data.wind_dir.to_dataframe()\n",
    "cmp.data[\"windsector\"] = pd.cut(df.wind_dir, [255, 285, 315, 345, 360], labels=[\"W\", \"WNW\", \"NNW\", \"N\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_df24e_level0_col0\" class=\"col_heading level0 col0\" >observation</th>\n",
       "      <th id=\"T_df24e_level0_col1\" class=\"col_heading level0 col1\" >n</th>\n",
       "      <th id=\"T_df24e_level0_col2\" class=\"col_heading level0 col2\" >bias</th>\n",
       "      <th id=\"T_df24e_level0_col3\" class=\"col_heading level0 col3\" >rmse</th>\n",
       "      <th id=\"T_df24e_level0_col4\" class=\"col_heading level0 col4\" >urmse</th>\n",
       "      <th id=\"T_df24e_level0_col5\" class=\"col_heading level0 col5\" >mae</th>\n",
       "      <th id=\"T_df24e_level0_col6\" class=\"col_heading level0 col6\" >cc</th>\n",
       "      <th id=\"T_df24e_level0_col7\" class=\"col_heading level0 col7\" >si</th>\n",
       "      <th id=\"T_df24e_level0_col8\" class=\"col_heading level0 col8\" >r2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >windsector</th>\n",
       "      <th class=\"blank col0\" >&nbsp;</th>\n",
       "      <th class=\"blank col1\" >&nbsp;</th>\n",
       "      <th class=\"blank col2\" >&nbsp;</th>\n",
       "      <th class=\"blank col3\" >&nbsp;</th>\n",
       "      <th class=\"blank col4\" >&nbsp;</th>\n",
       "      <th class=\"blank col5\" >&nbsp;</th>\n",
       "      <th class=\"blank col6\" >&nbsp;</th>\n",
       "      <th class=\"blank col7\" >&nbsp;</th>\n",
       "      <th class=\"blank col8\" >&nbsp;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_df24e_level0_row0\" class=\"row_heading level0 row0\" >N</th>\n",
       "      <td id=\"T_df24e_row0_col0\" class=\"data row0 col0\" >Hm0, obs</td>\n",
       "      <td id=\"T_df24e_row0_col1\" class=\"data row0 col1\" >7</td>\n",
       "      <td id=\"T_df24e_row0_col2\" class=\"data row0 col2\" >0.070</td>\n",
       "      <td id=\"T_df24e_row0_col3\" class=\"data row0 col3\" >0.252</td>\n",
       "      <td id=\"T_df24e_row0_col4\" class=\"data row0 col4\" >0.242</td>\n",
       "      <td id=\"T_df24e_row0_col5\" class=\"data row0 col5\" >0.223</td>\n",
       "      <td id=\"T_df24e_row0_col6\" class=\"data row0 col6\" >0.991</td>\n",
       "      <td id=\"T_df24e_row0_col7\" class=\"data row0 col7\" >0.083</td>\n",
       "      <td id=\"T_df24e_row0_col8\" class=\"data row0 col8\" >0.859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_df24e_level0_row1\" class=\"row_heading level0 row1\" >NNW</th>\n",
       "      <td id=\"T_df24e_row1_col0\" class=\"data row1 col0\" >Hm0, obs</td>\n",
       "      <td id=\"T_df24e_row1_col1\" class=\"data row1 col1\" >28</td>\n",
       "      <td id=\"T_df24e_row1_col2\" class=\"data row1 col2\" >0.116</td>\n",
       "      <td id=\"T_df24e_row1_col3\" class=\"data row1 col3\" >0.285</td>\n",
       "      <td id=\"T_df24e_row1_col4\" class=\"data row1 col4\" >0.261</td>\n",
       "      <td id=\"T_df24e_row1_col5\" class=\"data row1 col5\" >0.231</td>\n",
       "      <td id=\"T_df24e_row1_col6\" class=\"data row1 col6\" >0.970</td>\n",
       "      <td id=\"T_df24e_row1_col7\" class=\"data row1 col7\" >0.103</td>\n",
       "      <td id=\"T_df24e_row1_col8\" class=\"data row1 col8\" >0.928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_df24e_level0_row2\" class=\"row_heading level0 row2\" >W</th>\n",
       "      <td id=\"T_df24e_row2_col0\" class=\"data row2 col0\" >Hm0, obs</td>\n",
       "      <td id=\"T_df24e_row2_col1\" class=\"data row2 col1\" >17</td>\n",
       "      <td id=\"T_df24e_row2_col2\" class=\"data row2 col2\" >0.026</td>\n",
       "      <td id=\"T_df24e_row2_col3\" class=\"data row2 col3\" >0.165</td>\n",
       "      <td id=\"T_df24e_row2_col4\" class=\"data row2 col4\" >0.163</td>\n",
       "      <td id=\"T_df24e_row2_col5\" class=\"data row2 col5\" >0.123</td>\n",
       "      <td id=\"T_df24e_row2_col6\" class=\"data row2 col6\" >0.962</td>\n",
       "      <td id=\"T_df24e_row2_col7\" class=\"data row2 col7\" >0.067</td>\n",
       "      <td id=\"T_df24e_row2_col8\" class=\"data row2 col8\" >0.904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_df24e_level0_row3\" class=\"row_heading level0 row3\" >WNW</th>\n",
       "      <td id=\"T_df24e_row3_col0\" class=\"data row3 col0\" >Hm0, obs</td>\n",
       "      <td id=\"T_df24e_row3_col1\" class=\"data row3 col1\" >15</td>\n",
       "      <td id=\"T_df24e_row3_col2\" class=\"data row3 col2\" >-0.045</td>\n",
       "      <td id=\"T_df24e_row3_col3\" class=\"data row3 col3\" >0.142</td>\n",
       "      <td id=\"T_df24e_row3_col4\" class=\"data row3 col4\" >0.135</td>\n",
       "      <td id=\"T_df24e_row3_col5\" class=\"data row3 col5\" >0.108</td>\n",
       "      <td id=\"T_df24e_row3_col6\" class=\"data row3 col6\" >0.984</td>\n",
       "      <td id=\"T_df24e_row3_col7\" class=\"data row3 col7\" >0.050</td>\n",
       "      <td id=\"T_df24e_row3_col8\" class=\"data row3 col8\" >0.965</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7ff6ac559dd0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ss = cmp.skill(by=\"windsector\")\n",
    "ss.style()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ss.plot.bar(field=\"rmse\", title=\"Hm0 RMSE by wind sector\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmp.where(cmp.data.windsector==\"W\").plot.timeseries();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}