{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>20</th>\n",
       "      <th>22.44</th>\n",
       "      <th>25.179</th>\n",
       "      <th>28.251</th>\n",
       "      <th>31.698</th>\n",
       "      <th>35.566</th>\n",
       "      <th>39.905</th>\n",
       "      <th>44.774</th>\n",
       "      <th>50.238</th>\n",
       "      <th>56.368</th>\n",
       "      <th>...</th>\n",
       "      <th>178.25</th>\n",
       "      <th>200</th>\n",
       "      <th>224.4</th>\n",
       "      <th>251.79</th>\n",
       "      <th>282.51</th>\n",
       "      <th>316.98</th>\n",
       "      <th>355.66</th>\n",
       "      <th>399.05</th>\n",
       "      <th>447.74</th>\n",
       "      <th>502.38</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time</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",
       "      <th></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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2010-07-07 00:00:00</td>\n",
       "      <td>128.6500</td>\n",
       "      <td>126.9900</td>\n",
       "      <td>139.6700</td>\n",
       "      <td>149.3400</td>\n",
       "      <td>165.820</td>\n",
       "      <td>169.650</td>\n",
       "      <td>187.510</td>\n",
       "      <td>197.750</td>\n",
       "      <td>214.340</td>\n",
       "      <td>203.730</td>\n",
       "      <td>...</td>\n",
       "      <td>135.76</td>\n",
       "      <td>116.630</td>\n",
       "      <td>91.448</td>\n",
       "      <td>69.047</td>\n",
       "      <td>50.439</td>\n",
       "      <td>35.236</td>\n",
       "      <td>22.678</td>\n",
       "      <td>14.735</td>\n",
       "      <td>8.9347</td>\n",
       "      <td>4.1436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2010-07-07 01:00:00</td>\n",
       "      <td>142.5200</td>\n",
       "      <td>135.4300</td>\n",
       "      <td>147.0700</td>\n",
       "      <td>139.2400</td>\n",
       "      <td>141.190</td>\n",
       "      <td>141.060</td>\n",
       "      <td>150.180</td>\n",
       "      <td>151.720</td>\n",
       "      <td>167.890</td>\n",
       "      <td>175.830</td>\n",
       "      <td>...</td>\n",
       "      <td>127.48</td>\n",
       "      <td>95.335</td>\n",
       "      <td>78.890</td>\n",
       "      <td>59.925</td>\n",
       "      <td>44.050</td>\n",
       "      <td>32.284</td>\n",
       "      <td>19.935</td>\n",
       "      <td>13.537</td>\n",
       "      <td>6.4738</td>\n",
       "      <td>3.4326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2010-07-07 02:00:00</td>\n",
       "      <td>162.9700</td>\n",
       "      <td>167.5000</td>\n",
       "      <td>170.1800</td>\n",
       "      <td>156.6800</td>\n",
       "      <td>140.020</td>\n",
       "      <td>142.900</td>\n",
       "      <td>135.500</td>\n",
       "      <td>148.700</td>\n",
       "      <td>162.690</td>\n",
       "      <td>176.470</td>\n",
       "      <td>...</td>\n",
       "      <td>138.84</td>\n",
       "      <td>111.020</td>\n",
       "      <td>90.088</td>\n",
       "      <td>69.359</td>\n",
       "      <td>52.588</td>\n",
       "      <td>37.303</td>\n",
       "      <td>24.685</td>\n",
       "      <td>15.336</td>\n",
       "      <td>8.2478</td>\n",
       "      <td>4.5645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2010-07-07 03:00:00</td>\n",
       "      <td>204.5800</td>\n",
       "      <td>219.6600</td>\n",
       "      <td>219.6300</td>\n",
       "      <td>206.5200</td>\n",
       "      <td>196.520</td>\n",
       "      <td>173.940</td>\n",
       "      <td>147.350</td>\n",
       "      <td>147.300</td>\n",
       "      <td>147.140</td>\n",
       "      <td>153.780</td>\n",
       "      <td>...</td>\n",
       "      <td>111.31</td>\n",
       "      <td>93.899</td>\n",
       "      <td>76.940</td>\n",
       "      <td>55.176</td>\n",
       "      <td>41.100</td>\n",
       "      <td>27.840</td>\n",
       "      <td>16.733</td>\n",
       "      <td>11.408</td>\n",
       "      <td>6.8561</td>\n",
       "      <td>3.8129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2010-07-07 04:00:00</td>\n",
       "      <td>214.4400</td>\n",
       "      <td>240.9200</td>\n",
       "      <td>268.1500</td>\n",
       "      <td>276.0500</td>\n",
       "      <td>286.490</td>\n",
       "      <td>266.620</td>\n",
       "      <td>222.980</td>\n",
       "      <td>192.410</td>\n",
       "      <td>170.270</td>\n",
       "      <td>159.820</td>\n",
       "      <td>...</td>\n",
       "      <td>104.40</td>\n",
       "      <td>92.404</td>\n",
       "      <td>72.497</td>\n",
       "      <td>55.296</td>\n",
       "      <td>43.028</td>\n",
       "      <td>27.762</td>\n",
       "      <td>18.217</td>\n",
       "      <td>12.484</td>\n",
       "      <td>6.9652</td>\n",
       "      <td>3.8685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2013-12-31 19:00:00</td>\n",
       "      <td>2.3852</td>\n",
       "      <td>1.6169</td>\n",
       "      <td>5.9581</td>\n",
       "      <td>7.0585</td>\n",
       "      <td>11.437</td>\n",
       "      <td>19.874</td>\n",
       "      <td>24.573</td>\n",
       "      <td>32.347</td>\n",
       "      <td>37.406</td>\n",
       "      <td>40.055</td>\n",
       "      <td>...</td>\n",
       "      <td>288.72</td>\n",
       "      <td>311.860</td>\n",
       "      <td>298.500</td>\n",
       "      <td>250.810</td>\n",
       "      <td>183.840</td>\n",
       "      <td>129.730</td>\n",
       "      <td>85.915</td>\n",
       "      <td>51.917</td>\n",
       "      <td>33.2940</td>\n",
       "      <td>17.8550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2013-12-31 20:00:00</td>\n",
       "      <td>2.0354</td>\n",
       "      <td>2.6995</td>\n",
       "      <td>4.8646</td>\n",
       "      <td>8.6929</td>\n",
       "      <td>11.924</td>\n",
       "      <td>19.435</td>\n",
       "      <td>29.183</td>\n",
       "      <td>36.526</td>\n",
       "      <td>43.307</td>\n",
       "      <td>43.851</td>\n",
       "      <td>...</td>\n",
       "      <td>291.47</td>\n",
       "      <td>316.820</td>\n",
       "      <td>301.820</td>\n",
       "      <td>256.060</td>\n",
       "      <td>192.160</td>\n",
       "      <td>133.380</td>\n",
       "      <td>86.822</td>\n",
       "      <td>55.801</td>\n",
       "      <td>33.8890</td>\n",
       "      <td>19.3720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2013-12-31 21:00:00</td>\n",
       "      <td>1.3631</td>\n",
       "      <td>4.5269</td>\n",
       "      <td>4.1257</td>\n",
       "      <td>11.0030</td>\n",
       "      <td>13.544</td>\n",
       "      <td>22.086</td>\n",
       "      <td>29.118</td>\n",
       "      <td>35.592</td>\n",
       "      <td>42.276</td>\n",
       "      <td>47.847</td>\n",
       "      <td>...</td>\n",
       "      <td>292.76</td>\n",
       "      <td>315.630</td>\n",
       "      <td>300.060</td>\n",
       "      <td>251.300</td>\n",
       "      <td>190.420</td>\n",
       "      <td>136.240</td>\n",
       "      <td>89.902</td>\n",
       "      <td>54.446</td>\n",
       "      <td>33.1140</td>\n",
       "      <td>20.1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2013-12-31 22:00:00</td>\n",
       "      <td>4.4490</td>\n",
       "      <td>3.6954</td>\n",
       "      <td>5.3171</td>\n",
       "      <td>10.6240</td>\n",
       "      <td>12.280</td>\n",
       "      <td>21.114</td>\n",
       "      <td>29.556</td>\n",
       "      <td>35.932</td>\n",
       "      <td>39.776</td>\n",
       "      <td>46.649</td>\n",
       "      <td>...</td>\n",
       "      <td>282.38</td>\n",
       "      <td>316.950</td>\n",
       "      <td>300.190</td>\n",
       "      <td>253.250</td>\n",
       "      <td>197.130</td>\n",
       "      <td>134.600</td>\n",
       "      <td>84.968</td>\n",
       "      <td>57.362</td>\n",
       "      <td>33.9640</td>\n",
       "      <td>18.1130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2013-12-31 23:00:00</td>\n",
       "      <td>3.0799</td>\n",
       "      <td>7.6240</td>\n",
       "      <td>5.6407</td>\n",
       "      <td>7.8557</td>\n",
       "      <td>14.058</td>\n",
       "      <td>20.485</td>\n",
       "      <td>28.359</td>\n",
       "      <td>36.936</td>\n",
       "      <td>40.048</td>\n",
       "      <td>41.861</td>\n",
       "      <td>...</td>\n",
       "      <td>286.95</td>\n",
       "      <td>308.880</td>\n",
       "      <td>298.690</td>\n",
       "      <td>257.650</td>\n",
       "      <td>191.500</td>\n",
       "      <td>135.350</td>\n",
       "      <td>90.100</td>\n",
       "      <td>57.743</td>\n",
       "      <td>33.5210</td>\n",
       "      <td>17.6850</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30551 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           20     22.44    25.179    28.251   31.698   35.566  \\\n",
       "Time                                                                            \n",
       "2010-07-07 00:00:00  128.6500  126.9900  139.6700  149.3400  165.820  169.650   \n",
       "2010-07-07 01:00:00  142.5200  135.4300  147.0700  139.2400  141.190  141.060   \n",
       "2010-07-07 02:00:00  162.9700  167.5000  170.1800  156.6800  140.020  142.900   \n",
       "2010-07-07 03:00:00  204.5800  219.6600  219.6300  206.5200  196.520  173.940   \n",
       "2010-07-07 04:00:00  214.4400  240.9200  268.1500  276.0500  286.490  266.620   \n",
       "...                       ...       ...       ...       ...      ...      ...   \n",
       "2013-12-31 19:00:00    2.3852    1.6169    5.9581    7.0585   11.437   19.874   \n",
       "2013-12-31 20:00:00    2.0354    2.6995    4.8646    8.6929   11.924   19.435   \n",
       "2013-12-31 21:00:00    1.3631    4.5269    4.1257   11.0030   13.544   22.086   \n",
       "2013-12-31 22:00:00    4.4490    3.6954    5.3171   10.6240   12.280   21.114   \n",
       "2013-12-31 23:00:00    3.0799    7.6240    5.6407    7.8557   14.058   20.485   \n",
       "\n",
       "                      39.905   44.774   50.238   56.368  ...  178.25      200  \\\n",
       "Time                                                     ...                    \n",
       "2010-07-07 00:00:00  187.510  197.750  214.340  203.730  ...  135.76  116.630   \n",
       "2010-07-07 01:00:00  150.180  151.720  167.890  175.830  ...  127.48   95.335   \n",
       "2010-07-07 02:00:00  135.500  148.700  162.690  176.470  ...  138.84  111.020   \n",
       "2010-07-07 03:00:00  147.350  147.300  147.140  153.780  ...  111.31   93.899   \n",
       "2010-07-07 04:00:00  222.980  192.410  170.270  159.820  ...  104.40   92.404   \n",
       "...                      ...      ...      ...      ...  ...     ...      ...   \n",
       "2013-12-31 19:00:00   24.573   32.347   37.406   40.055  ...  288.72  311.860   \n",
       "2013-12-31 20:00:00   29.183   36.526   43.307   43.851  ...  291.47  316.820   \n",
       "2013-12-31 21:00:00   29.118   35.592   42.276   47.847  ...  292.76  315.630   \n",
       "2013-12-31 22:00:00   29.556   35.932   39.776   46.649  ...  282.38  316.950   \n",
       "2013-12-31 23:00:00   28.359   36.936   40.048   41.861  ...  286.95  308.880   \n",
       "\n",
       "                       224.4   251.79   282.51   316.98  355.66  399.05  \\\n",
       "Time                                                                      \n",
       "2010-07-07 00:00:00   91.448   69.047   50.439   35.236  22.678  14.735   \n",
       "2010-07-07 01:00:00   78.890   59.925   44.050   32.284  19.935  13.537   \n",
       "2010-07-07 02:00:00   90.088   69.359   52.588   37.303  24.685  15.336   \n",
       "2010-07-07 03:00:00   76.940   55.176   41.100   27.840  16.733  11.408   \n",
       "2010-07-07 04:00:00   72.497   55.296   43.028   27.762  18.217  12.484   \n",
       "...                      ...      ...      ...      ...     ...     ...   \n",
       "2013-12-31 19:00:00  298.500  250.810  183.840  129.730  85.915  51.917   \n",
       "2013-12-31 20:00:00  301.820  256.060  192.160  133.380  86.822  55.801   \n",
       "2013-12-31 21:00:00  300.060  251.300  190.420  136.240  89.902  54.446   \n",
       "2013-12-31 22:00:00  300.190  253.250  197.130  134.600  84.968  57.362   \n",
       "2013-12-31 23:00:00  298.690  257.650  191.500  135.350  90.100  57.743   \n",
       "\n",
       "                      447.74   502.38  \n",
       "Time                                   \n",
       "2010-07-07 00:00:00   8.9347   4.1436  \n",
       "2010-07-07 01:00:00   6.4738   3.4326  \n",
       "2010-07-07 02:00:00   8.2478   4.5645  \n",
       "2010-07-07 03:00:00   6.8561   3.8129  \n",
       "2010-07-07 04:00:00   6.9652   3.8685  \n",
       "...                      ...      ...  \n",
       "2013-12-31 19:00:00  33.2940  17.8550  \n",
       "2013-12-31 20:00:00  33.8890  19.3720  \n",
       "2013-12-31 21:00:00  33.1140  20.1400  \n",
       "2013-12-31 22:00:00  33.9640  18.1130  \n",
       "2013-12-31 23:00:00  33.5210  17.6850  \n",
       "\n",
       "[30551 rows x 29 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import glob\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "import matplotlib as mpl\n",
    "\n",
    "my_dateparser = lambda x: pd.datetime.strptime(x, \"%Y %m %d %H %M\")\n",
    "\n",
    "path = 'shared-ns1000k/inputs/Aerosol_sizedist_obs/' \n",
    "all_files = glob.glob(path + \"/Station_Nord_201*_hourly.csv\")\n",
    "\n",
    "\n",
    "myorder = [3, 2, 0, 1]\n",
    "mylist = [all_files[i] for i in myorder]\n",
    "  \n",
    "li = []\n",
    "\n",
    "for filename in mylist:\n",
    "    df = pd.read_csv(filename, parse_dates=[['0', '0.1', '0.2', '0.3', '0.4']], date_parser = my_dateparser)\n",
    "    li.append(df)\n",
    "\n",
    "\n",
    "df = pd.concat(li, axis=0, ignore_index=True)\n",
    "\n",
    "df.rename(columns={'0_0.1_0.2_0.3_0.4':'Time'},inplace = True)\n",
    "df.replace(-999, np.nan, inplace=True)\n",
    "df.drop(labels=['0.5','0.6'], axis=1, inplace=True)\n",
    "df = df.set_index('Time')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "diam = df.columns\n",
    "diam = ([float(ii) for ii in diam])\n",
    "time = df.index\n",
    "data = xr.DataArray(df.values,dims={'Time':time, 'Diameter':diam})\n",
    "datas = xr.Dataset({'SizeDist':data})\n",
    "datas['Time']=time\n",
    "datas['Diameter']=diam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fa4c7701550>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/matplotlib/colors.py:1031: RuntimeWarning: invalid value encountered in less_equal\n",
      "  mask |= resdat <= 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "datas['SizeDist'].plot(x='Time', robust=True, yscale='log', norm=mpl.colors.LogNorm())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weekly = df.resample('w').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "diam = df_weekly.columns\n",
    "diam = ([float(ii) for ii in diam])\n",
    "time = df_weekly.index\n",
    "data_w = xr.DataArray(df_weekly.values,dims={'Time':time, 'Diameter':diam})\n",
    "datas_w = xr.Dataset({'SizeDist':data_w})\n",
    "datas_w['Time']=time\n",
    "datas_w['Diameter']=diam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fa4c743fd68>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "datas_w['SizeDist'].plot(x='Time', robust=True, yscale='log', norm=mpl.colors.LogNorm())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}