pvdata_analyze.ipynb

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  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set_style(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(os.path.join(os.getcwd(),\"pv_data\", \"pvdata.csv\"), index_col=\"time\")\n",
    "data.index = pd.to_datetime(data.index, format=\"%Y%m%d:%H%M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "DatetimeIndex(['2021-01-01 00:10:00', '2021-01-01 01:10:00',\n",
       "               '2021-01-01 02:10:00', '2021-01-01 03:10:00',\n",
       "               '2021-01-01 04:10:00', '2021-01-01 05:10:00',\n",
       "               '2021-01-01 06:10:00', '2021-01-01 07:10:00',\n",
       "               '2021-01-01 08:10:00', '2021-01-01 09:10:00',\n",
       "               ...\n",
       "               '2021-12-31 14:10:00', '2021-12-31 15:10:00',\n",
       "               '2021-12-31 16:10:00', '2021-12-31 17:10:00',\n",
       "               '2021-12-31 18:10:00', '2021-12-31 19:10:00',\n",
       "               '2021-12-31 20:10:00', '2021-12-31 21:10:00',\n",
       "               '2021-12-31 22:10:00', '2021-12-31 23:10:00'],\n",
       "              dtype='datetime64[ns]', name='time', length=8760, freq=None)"
      ]
     },
     "metadata": {},
     "execution_count": 79
    }
   ],
   "source": [
    "data.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "start = datetime.datetime(year=2021, month=4, day=1, hour=5)\n",
    "end = datetime.datetime(year=2021, month=4, day=1, hour=23)\n",
    "\n",
    "mydata = data.loc[start:end]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                           P   Gb(i)   Gd(i)  Gr(i)  H_sun    T2m  WS10m  Int\n",
       "time                                                                         \n",
       "2021-04-01 05:10:00     0.00    0.00    0.00   0.00   0.00   4.05   3.13  0.0\n",
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       "2021-04-01 07:10:00  1328.48  453.12  154.86   6.06  18.06   5.17   2.93  0.0\n",
       "2021-04-01 08:10:00  1575.28  542.70  188.22   9.48  26.69   6.49   3.03  0.0\n",
       "2021-04-01 09:10:00  1695.80  601.22  193.44  12.54  34.19   7.82   3.12  0.0\n",
       "2021-04-01 10:10:00  1561.25  503.28  226.00  14.11  39.84   8.85   3.29  0.0\n",
       "2021-04-01 11:10:00  1470.02  517.72  168.06  15.96  42.84   9.87   3.46  0.0\n",
       "2021-04-01 12:10:00  1118.53  344.71  179.80  15.35  42.62  10.90   3.63  0.0\n",
       "2021-04-01 13:10:00   719.35  195.34  159.51  13.99  39.22  11.25   3.54  0.0\n",
       "2021-04-01 14:10:00   325.28   53.11  131.32  11.63  33.28  11.59   3.46  0.0\n",
       "2021-04-01 15:10:00   231.95    0.00  121.82   3.49  25.59  11.94   3.38  0.0\n",
       "2021-04-01 16:10:00   157.35    0.00   87.48   2.50  16.85  10.75   3.01  0.0\n",
       "2021-04-01 17:10:00    71.15    0.00   46.60   1.33   7.61   9.56   2.64  0.0\n",
       "2021-04-01 18:10:00     0.00    0.00    0.00   0.00   0.00   8.36   2.28  0.0\n",
       "2021-04-01 19:10:00     0.00    0.00    0.00   0.00   0.00   7.66   2.63  0.0\n",
       "2021-04-01 20:10:00     0.00    0.00    0.00   0.00   0.00   6.96   2.97  0.0\n",
       "2021-04-01 21:10:00     0.00    0.00    0.00   0.00   0.00   6.26   3.32  0.0\n",
       "2021-04-01 22:10:00     0.00    0.00    0.00   0.00   0.00   6.17   3.41  0.0"
      ],
      "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>P</th>\n      <th>Gb(i)</th>\n      <th>Gd(i)</th>\n      <th>Gr(i)</th>\n      <th>H_sun</th>\n      <th>T2m</th>\n      <th>WS10m</th>\n      <th>Int</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    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-04-01 05:10:00</th>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>4.05</td>\n      <td>3.13</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 06:10:00</th>\n      <td>740.90</td>\n      <td>242.90</td>\n      <td>95.17</td>\n      <td>2.36</td>\n      <td>8.86</td>\n      <td>3.84</td>\n      <td>2.84</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 07:10:00</th>\n      <td>1328.48</td>\n      <td>453.12</td>\n      <td>154.86</td>\n      <td>6.06</td>\n      <td>18.06</td>\n      <td>5.17</td>\n      <td>2.93</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 08:10:00</th>\n      <td>1575.28</td>\n      <td>542.70</td>\n      <td>188.22</td>\n      <td>9.48</td>\n      <td>26.69</td>\n      <td>6.49</td>\n      <td>3.03</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 09:10:00</th>\n      <td>1695.80</td>\n      <td>601.22</td>\n      <td>193.44</td>\n      <td>12.54</td>\n      <td>34.19</td>\n      <td>7.82</td>\n      <td>3.12</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 10:10:00</th>\n      <td>1561.25</td>\n      <td>503.28</td>\n      <td>226.00</td>\n      <td>14.11</td>\n      <td>39.84</td>\n      <td>8.85</td>\n      <td>3.29</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 11:10:00</th>\n      <td>1470.02</td>\n      <td>517.72</td>\n      <td>168.06</td>\n      <td>15.96</td>\n      <td>42.84</td>\n      <td>9.87</td>\n      <td>3.46</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 12:10:00</th>\n      <td>1118.53</td>\n      <td>344.71</td>\n      <td>179.80</td>\n      <td>15.35</td>\n      <td>42.62</td>\n      <td>10.90</td>\n      <td>3.63</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 13:10:00</th>\n      <td>719.35</td>\n      <td>195.34</td>\n      <td>159.51</td>\n      <td>13.99</td>\n      <td>39.22</td>\n      <td>11.25</td>\n      <td>3.54</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 14:10:00</th>\n      <td>325.28</td>\n      <td>53.11</td>\n      <td>131.32</td>\n      <td>11.63</td>\n      <td>33.28</td>\n      <td>11.59</td>\n      <td>3.46</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 15:10:00</th>\n      <td>231.95</td>\n      <td>0.00</td>\n      <td>121.82</td>\n      <td>3.49</td>\n      <td>25.59</td>\n      <td>11.94</td>\n      <td>3.38</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 16:10:00</th>\n      <td>157.35</td>\n      <td>0.00</td>\n      <td>87.48</td>\n      <td>2.50</td>\n      <td>16.85</td>\n      <td>10.75</td>\n      <td>3.01</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 17:10:00</th>\n      <td>71.15</td>\n      <td>0.00</td>\n      <td>46.60</td>\n      <td>1.33</td>\n      <td>7.61</td>\n      <td>9.56</td>\n      <td>2.64</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 18:10:00</th>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>8.36</td>\n      <td>2.28</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 19:10:00</th>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>7.66</td>\n      <td>2.63</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 20:10:00</th>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>6.96</td>\n      <td>2.97</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 21:10:00</th>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>6.26</td>\n      <td>3.32</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 22:10:00</th>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>6.17</td>\n      <td>3.41</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 81
    }
   ],
   "source": [
    "mydata"
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  {
   "cell_type": "code",
   "execution_count": 82,
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   "outputs": [
    {
     "output_type": "execute_result",
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      "text/plain": [
       "<AxesSubplot:title={'center':'Generated '}, xlabel='Time', ylabel='Power [W]'>"
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     },
     "metadata": {},
     "execution_count": 82
    },
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     "output_type": "display_data",
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     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
    "ax.set_xlabel(\"Time\") \n",
    "ax.set_ylabel(\"Power [W]\")\n",
    "ax.set_title(\"Generated \")\n",
    "sns.lineplot(x=\"time\", y=\"P\", data=mydata, label=\"Direct in-plane irradiance\", ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Generated '}, xlabel='Time', ylabel='Power [W]'>"
      ]
     },
     "metadata": {},
     "execution_count": 83
    },
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
    "ax.set_xlabel(\"Time\") \n",
    "ax.set_ylabel(\"Power [W]\")\n",
    "ax.set_title(\"Generated \")\n",
    "sns.lineplot(x=\"time\", y=\"Gb(i)\", data=mydata, label=\"Direct in-plane irradiance\", ax=ax)\n",
    "sns.lineplot(x=\"time\", y=\"Gd(i)\", data=mydata, label=\"Diffuse in-plane irradiance\", ax=ax)\n",
    "sns.lineplot(x=\"time\", y=\"Gr(i)\", data=mydata, label=\"Reflected in-plane irradiance\", ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Generated '}, xlabel='Time', ylabel='Power [W]'>"
      ]
     },
     "metadata": {},
     "execution_count": 84
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
    "ax.set_xlabel(\"Time\") \n",
    "ax.set_ylabel(\"Power [W]\")\n",
    "ax.set_title(\"Generated \")\n",
    "sns.lineplot(x=\"time\", y=\"H_sun\", data=mydata, label=\"Sun Height\", ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "WIND_DIRECTION\n",
      "WIND_SPEED\n",
      "CLOUD_COVER_TOTAL\n",
      "PRESSURE_AIR_SURFACE_REDUCED\n",
      "PROBABILITY_RADIATION_GLOBAL_LAST_1H\n",
      "RADIATION_GLOBAL\n",
      "TEMPERATURE_AIR_200\n",
      "TEMPERATURE_DEW_POINT_200\n",
      "WEATHER_SIGNIFICANT\n",
      "TEMPERATURE_AIR_200DEGC\n",
      "DEW_POINT_DEGC\n",
      "RAD_WH\n",
      "DHI_ERBS\n",
      "DNI_DISC\n",
      "DNI_DIRINDEX\n",
      "GHI_CLEARSKY\n",
      "DNI_CLEARSKY\n",
      "DHI_CLEARSKY\n",
      "AZIMUTH\n",
      "ZENITH\n",
      "ELEVATION\n",
      "Ost_ac\n",
      "Ost_aoi\n",
      "Ost_cell_temperature\n",
      "Ost_effective_irradiance\n",
      "Ost_dc_i_sc\n",
      "Ost_dc_v_oc\n",
      "Ost_dc_i_mp\n",
      "Ost_dc_v_mp\n",
      "Ost_dc_p_mp\n",
      "Ost_dc_i_x\n",
      "Ost_dc_i_xx\n",
      "Ost_diode_params_I_L\n",
      "Ost_diode_params_I_o\n",
      "Ost_diode_params_R_s\n",
      "Ost_diode_params_R_sh\n",
      "Ost_diode_params_nNsVth\n",
      "Ost_total_irrad_poa_global\n",
      "Ost_total_irrad_poa_direct\n",
      "Ost_total_irrad_poa_diffuse\n",
      "Ost_total_irrad_poa_sky_diffuse\n",
      "Ost_total_irrad_poa_ground_diffuse\n",
      "West_ac\n",
      "West_aoi\n",
      "West_cell_temperature\n",
      "West_effective_irradiance\n",
      "West_dc_i_sc\n",
      "West_dc_v_oc\n",
      "West_dc_i_mp\n",
      "West_dc_v_mp\n",
      "West_dc_p_mp\n",
      "West_dc_i_x\n",
      "West_dc_i_xx\n",
      "West_diode_params_I_L\n",
      "West_diode_params_I_o\n",
      "West_diode_params_R_s\n",
      "West_diode_params_R_sh\n",
      "West_diode_params_nNsVth\n",
      "West_total_irrad_poa_global\n",
      "West_total_irrad_poa_direct\n",
      "West_total_irrad_poa_diffuse\n",
      "West_total_irrad_poa_sky_diffuse\n",
      "West_total_irrad_poa_ground_diffuse\n",
      "ALL_AC_POWER\n",
      "C:\\Users\\tino\\Programme\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py:5277: FutureWarning: Indexing a timezone-aware DatetimeIndex with a timezone-naive datetime is deprecated and will raise KeyError in a future version.  Use a timezone-aware object instead.\n",
      "  start_slice, end_slice = self.slice_locs(start, end, step=step, kind=kind)\n"
     ]
    }
   ],
   "source": [
    "data_file = os.path.join(os.getcwd(), \"output\", \"2021_04_01_08_Uhr.csv\")\n",
    "\n",
    "forecast_data = pd.read_csv(data_file, index_col=\"DATE\")\n",
    "forecast_data.index = pd.to_datetime(forecast_data.index)\n",
    "start = datetime.datetime(year=2021, month=4, day=1, hour=5)\n",
    "end = datetime.datetime(year=2021, month=4, day=1, hour=23)\n",
    "forecast_data = forecast_data.loc[start:end]\n",
    "#forecast_data.index = forecast_data.index - pd.offsets.YearOffset(5)\n",
    "for column in forecast_data.columns:\n",
    "    print(column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                           WIND_DIRECTION  WIND_SPEED  CLOUD_COVER_TOTAL  \\\n",
       "DATE                                                                       \n",
       "2021-04-01 05:00:00+00:00           229.0        1.54               56.0   \n",
       "2021-04-01 06:00:00+00:00           241.0        1.54               50.0   \n",
       "2021-04-01 07:00:00+00:00           269.0        2.06               50.0   \n",
       "2021-04-01 08:00:00+00:00           315.0        2.06               53.0   \n",
       "2021-04-01 09:00:00+00:00           322.0        2.57               46.0   \n",
       "2021-04-01 10:00:00+00:00           329.0        3.60               43.0   \n",
       "2021-04-01 11:00:00+00:00           334.0        4.12               37.0   \n",
       "2021-04-01 12:00:00+00:00           338.0        4.63               36.0   \n",
       "2021-04-01 13:00:00+00:00           341.0        4.63               34.0   \n",
       "2021-04-01 14:00:00+00:00           347.0        5.14               33.0   \n",
       "2021-04-01 15:00:00+00:00           353.0        5.14               39.0   \n",
       "2021-04-01 16:00:00+00:00           355.0        5.66               42.0   \n",
       "2021-04-01 17:00:00+00:00           356.0        5.14               44.0   \n",
       "2021-04-01 18:00:00+00:00             2.0        4.63               50.0   \n",
       "2021-04-01 19:00:00+00:00             4.0        4.63               45.0   \n",
       "2021-04-01 20:00:00+00:00             7.0        4.12               42.0   \n",
       "\n",
       "                           PRESSURE_AIR_SURFACE_REDUCED  \\\n",
       "DATE                                                      \n",
       "2021-04-01 05:00:00+00:00                      102010.0   \n",
       "2021-04-01 06:00:00+00:00                      102040.0   \n",
       "2021-04-01 07:00:00+00:00                      102050.0   \n",
       "2021-04-01 08:00:00+00:00                      102080.0   \n",
       "2021-04-01 09:00:00+00:00                      102110.0   \n",
       "2021-04-01 10:00:00+00:00                      102120.0   \n",
       "2021-04-01 11:00:00+00:00                      102120.0   \n",
       "2021-04-01 12:00:00+00:00                      102110.0   \n",
       "2021-04-01 13:00:00+00:00                      102110.0   \n",
       "2021-04-01 14:00:00+00:00                      102120.0   \n",
       "2021-04-01 15:00:00+00:00                      102140.0   \n",
       "2021-04-01 16:00:00+00:00                      102160.0   \n",
       "2021-04-01 17:00:00+00:00                      102210.0   \n",
       "2021-04-01 18:00:00+00:00                      102240.0   \n",
       "2021-04-01 19:00:00+00:00                      102310.0   \n",
       "2021-04-01 20:00:00+00:00                      102370.0   \n",
       "\n",
       "                           PROBABILITY_RADIATION_GLOBAL_LAST_1H  \\\n",
       "DATE                                                              \n",
       "2021-04-01 05:00:00+00:00                                   NaN   \n",
       "2021-04-01 06:00:00+00:00                                  10.0   \n",
       "2021-04-01 07:00:00+00:00                                  23.0   \n",
       "2021-04-01 08:00:00+00:00                                  35.0   \n",
       "2021-04-01 09:00:00+00:00                                  45.0   \n",
       "2021-04-01 10:00:00+00:00                                  53.0   \n",
       "2021-04-01 11:00:00+00:00                                  59.0   \n",
       "2021-04-01 12:00:00+00:00                                  60.0   \n",
       "2021-04-01 13:00:00+00:00                                  61.0   \n",
       "2021-04-01 14:00:00+00:00                                  61.0   \n",
       "2021-04-01 15:00:00+00:00                                  64.0   \n",
       "2021-04-01 16:00:00+00:00                                  60.0   \n",
       "2021-04-01 17:00:00+00:00                                  53.0   \n",
       "2021-04-01 18:00:00+00:00                                  44.0   \n",
       "2021-04-01 19:00:00+00:00                                  12.0   \n",
       "2021-04-01 20:00:00+00:00                                   NaN   \n",
       "\n",
       "                           RADIATION_GLOBAL  TEMPERATURE_AIR_200  \\\n",
       "DATE                                                               \n",
       "2021-04-01 05:00:00+00:00               0.0               281.45   \n",
       "2021-04-01 06:00:00+00:00              40.0               282.45   \n",
       "2021-04-01 07:00:00+00:00             260.0               284.45   \n",
       "2021-04-01 08:00:00+00:00             650.0               286.45   \n",
       "2021-04-01 09:00:00+00:00            1140.0               287.95   \n",
       "2021-04-01 10:00:00+00:00            1600.0               289.45   \n",
       "2021-04-01 11:00:00+00:00            1960.0               290.15   \n",
       "2021-04-01 12:00:00+00:00            2090.0               290.85   \n",
       "2021-04-01 13:00:00+00:00            2050.0               290.95   \n",
       "2021-04-01 14:00:00+00:00            1870.0               290.65   \n",
       "2021-04-01 15:00:00+00:00            1640.0               289.75   \n",
       "2021-04-01 16:00:00+00:00            1170.0               289.15   \n",
       "2021-04-01 17:00:00+00:00             640.0               287.55   \n",
       "2021-04-01 18:00:00+00:00             190.0               285.95   \n",
       "2021-04-01 19:00:00+00:00               0.0               284.75   \n",
       "2021-04-01 20:00:00+00:00               0.0               283.25   \n",
       "\n",
       "                           TEMPERATURE_DEW_POINT_200  WEATHER_SIGNIFICANT  \\\n",
       "DATE                                                                        \n",
       "2021-04-01 05:00:00+00:00                     278.35                  1.0   \n",
       "2021-04-01 06:00:00+00:00                     278.45                  1.0   \n",
       "2021-04-01 07:00:00+00:00                     278.95                  1.0   \n",
       "2021-04-01 08:00:00+00:00                     279.35                  1.0   \n",
       "2021-04-01 09:00:00+00:00                     279.15                  1.0   \n",
       "2021-04-01 10:00:00+00:00                     279.05                  1.0   \n",
       "2021-04-01 11:00:00+00:00                     278.85                  1.0   \n",
       "2021-04-01 12:00:00+00:00                     278.85                  1.0   \n",
       "2021-04-01 13:00:00+00:00                     278.55                  1.0   \n",
       "2021-04-01 14:00:00+00:00                     278.45                  1.0   \n",
       "2021-04-01 15:00:00+00:00                     277.95                  1.0   \n",
       "2021-04-01 16:00:00+00:00                     277.55                  1.0   \n",
       "2021-04-01 17:00:00+00:00                     277.25                  1.0   \n",
       "2021-04-01 18:00:00+00:00                     276.65                  1.0   \n",
       "2021-04-01 19:00:00+00:00                     276.45                  1.0   \n",
       "2021-04-01 20:00:00+00:00                     276.15                  1.0   \n",
       "\n",
       "                           TEMPERATURE_AIR_200DEGC  ...  \\\n",
       "DATE                                                ...   \n",
       "2021-04-01 05:00:00+00:00                      8.3  ...   \n",
       "2021-04-01 06:00:00+00:00                      9.3  ...   \n",
       "2021-04-01 07:00:00+00:00                     11.3  ...   \n",
       "2021-04-01 08:00:00+00:00                     13.3  ...   \n",
       "2021-04-01 09:00:00+00:00                     14.8  ...   \n",
       "2021-04-01 10:00:00+00:00                     16.3  ...   \n",
       "2021-04-01 11:00:00+00:00                     17.0  ...   \n",
       "2021-04-01 12:00:00+00:00                     17.7  ...   \n",
       "2021-04-01 13:00:00+00:00                     17.8  ...   \n",
       "2021-04-01 14:00:00+00:00                     17.5  ...   \n",
       "2021-04-01 15:00:00+00:00                     16.6  ...   \n",
       "2021-04-01 16:00:00+00:00                     16.0  ...   \n",
       "2021-04-01 17:00:00+00:00                     14.4  ...   \n",
       "2021-04-01 18:00:00+00:00                     12.8  ...   \n",
       "2021-04-01 19:00:00+00:00                     11.6  ...   \n",
       "2021-04-01 20:00:00+00:00                     10.1  ...   \n",
       "\n",
       "                           West_diode_params_I_o  West_diode_params_R_s  \\\n",
       "DATE                                                                      \n",
       "2021-04-01 05:00:00+00:00           1.218804e-12               0.078582   \n",
       "2021-04-01 06:00:00+00:00           1.557988e-12               0.078582   \n",
       "2021-04-01 07:00:00+00:00           3.043298e-12               0.078582   \n",
       "2021-04-01 08:00:00+00:00           6.947384e-12               0.078582   \n",
       "2021-04-01 09:00:00+00:00           1.196705e-11               0.078582   \n",
       "2021-04-01 10:00:00+00:00           1.854269e-11               0.078582   \n",
       "2021-04-01 11:00:00+00:00           2.880220e-11               0.078582   \n",
       "2021-04-01 12:00:00+00:00           4.995220e-11               0.078582   \n",
       "2021-04-01 13:00:00+00:00           8.357432e-11               0.078582   \n",
       "2021-04-01 14:00:00+00:00           1.237946e-10               0.078582   \n",
       "2021-04-01 15:00:00+00:00           1.848555e-10               0.078582   \n",
       "2021-04-01 16:00:00+00:00           1.184240e-10               0.078582   \n",
       "2021-04-01 17:00:00+00:00           4.075804e-11               0.078582   \n",
       "2021-04-01 18:00:00+00:00           3.526683e-12               0.078582   \n",
       "2021-04-01 19:00:00+00:00           2.250706e-12               0.078582   \n",
       "2021-04-01 20:00:00+00:00           1.706012e-12               0.078582   \n",
       "\n",
       "                           West_diode_params_R_sh  West_diode_params_nNsVth  \\\n",
       "DATE                                                                          \n",
       "2021-04-01 05:00:00+00:00                     inf                  1.458206   \n",
       "2021-04-01 06:00:00+00:00            1.320768e+04                  1.465003   \n",
       "2021-04-01 07:00:00+00:00            2.054070e+03                  1.483856   \n",
       "2021-04-01 08:00:00+00:00            8.780048e+02                  1.507757   \n",
       "2021-04-01 09:00:00+00:00            6.306864e+02                  1.523916   \n",
       "2021-04-01 10:00:00+00:00            5.097206e+02                  1.537175   \n",
       "2021-04-01 11:00:00+00:00            3.920658e+02                  1.550736   \n",
       "2021-04-01 12:00:00+00:00            2.963517e+02                  1.568021   \n",
       "2021-04-01 13:00:00+00:00            2.349234e+02                  1.584520   \n",
       "2021-04-01 14:00:00+00:00            1.927565e+02                  1.597342   \n",
       "2021-04-01 15:00:00+00:00            1.611243e+02                  1.610637   \n",
       "2021-04-01 16:00:00+00:00            1.754605e+02                  1.595885   \n",
       "2021-04-01 17:00:00+00:00            2.456269e+02                  1.561592   \n",
       "2021-04-01 18:00:00+00:00            2.764851e+03                  1.488071   \n",
       "2021-04-01 19:00:00+00:00                     inf                  1.475303   \n",
       "2021-04-01 20:00:00+00:00                     inf                  1.467531   \n",
       "\n",
       "                           West_total_irrad_poa_global  \\\n",
       "DATE                                                     \n",
       "2021-04-01 05:00:00+00:00                     0.000000   \n",
       "2021-04-01 06:00:00+00:00                     9.936859   \n",
       "2021-04-01 07:00:00+00:00                    63.894058   \n",
       "2021-04-01 08:00:00+00:00                   149.478518   \n",
       "2021-04-01 09:00:00+00:00                   208.095268   \n",
       "2021-04-01 10:00:00+00:00                   257.480032   \n",
       "2021-04-01 11:00:00+00:00                   334.747039   \n",
       "2021-04-01 12:00:00+00:00                   442.861857   \n",
       "2021-04-01 13:00:00+00:00                   558.662322   \n",
       "2021-04-01 14:00:00+00:00                   680.873804   \n",
       "2021-04-01 15:00:00+00:00                   814.543965   \n",
       "2021-04-01 16:00:00+00:00                   747.991138   \n",
       "2021-04-01 17:00:00+00:00                   534.317874   \n",
       "2021-04-01 18:00:00+00:00                    47.468324   \n",
       "2021-04-01 19:00:00+00:00                     0.000000   \n",
       "2021-04-01 20:00:00+00:00                     0.000000   \n",
       "\n",
       "                           West_total_irrad_poa_direct  \\\n",
       "DATE                                                     \n",
       "2021-04-01 05:00:00+00:00                    -0.000000   \n",
       "2021-04-01 06:00:00+00:00                    -0.000000   \n",
       "2021-04-01 07:00:00+00:00                    -0.000000   \n",
       "2021-04-01 08:00:00+00:00                     0.000000   \n",
       "2021-04-01 09:00:00+00:00                     0.000000   \n",
       "2021-04-01 10:00:00+00:00                    36.881160   \n",
       "2021-04-01 11:00:00+00:00                   128.917758   \n",
       "2021-04-01 12:00:00+00:00                   244.335160   \n",
       "2021-04-01 13:00:00+00:00                   367.945013   \n",
       "2021-04-01 14:00:00+00:00                   503.595766   \n",
       "2021-04-01 15:00:00+00:00                   675.851674   \n",
       "2021-04-01 16:00:00+00:00                   632.311518   \n",
       "2021-04-01 17:00:00+00:00                   457.972193   \n",
       "2021-04-01 18:00:00+00:00                     0.000000   \n",
       "2021-04-01 19:00:00+00:00                     0.000000   \n",
       "2021-04-01 20:00:00+00:00                     0.000000   \n",
       "\n",
       "                           West_total_irrad_poa_diffuse  \\\n",
       "DATE                                                      \n",
       "2021-04-01 05:00:00+00:00                      0.000000   \n",
       "2021-04-01 06:00:00+00:00                      9.936859   \n",
       "2021-04-01 07:00:00+00:00                     63.894058   \n",
       "2021-04-01 08:00:00+00:00                    149.478518   \n",
       "2021-04-01 09:00:00+00:00                    208.095268   \n",
       "2021-04-01 10:00:00+00:00                    220.598872   \n",
       "2021-04-01 11:00:00+00:00                    205.829281   \n",
       "2021-04-01 12:00:00+00:00                    198.526697   \n",
       "2021-04-01 13:00:00+00:00                    190.717309   \n",
       "2021-04-01 14:00:00+00:00                    177.278038   \n",
       "2021-04-01 15:00:00+00:00                    138.692291   \n",
       "2021-04-01 16:00:00+00:00                    115.679620   \n",
       "2021-04-01 17:00:00+00:00                     76.345682   \n",
       "2021-04-01 18:00:00+00:00                     47.468324   \n",
       "2021-04-01 19:00:00+00:00                      0.000000   \n",
       "2021-04-01 20:00:00+00:00                      0.000000   \n",
       "\n",
       "                           West_total_irrad_poa_sky_diffuse  \\\n",
       "DATE                                                          \n",
       "2021-04-01 05:00:00+00:00                          0.000000   \n",
       "2021-04-01 06:00:00+00:00                          9.754893   \n",
       "2021-04-01 07:00:00+00:00                         62.711282   \n",
       "2021-04-01 08:00:00+00:00                        146.521578   \n",
       "2021-04-01 09:00:00+00:00                        202.909249   \n",
       "2021-04-01 10:00:00+00:00                        213.320249   \n",
       "2021-04-01 11:00:00+00:00                        196.912968   \n",
       "2021-04-01 12:00:00+00:00                        189.018996   \n",
       "2021-04-01 13:00:00+00:00                        181.391573   \n",
       "2021-04-01 14:00:00+00:00                        168.771147   \n",
       "2021-04-01 15:00:00+00:00                        131.231703   \n",
       "2021-04-01 16:00:00+00:00                        110.357126   \n",
       "2021-04-01 17:00:00+00:00                         73.434233   \n",
       "2021-04-01 18:00:00+00:00                         46.603988   \n",
       "2021-04-01 19:00:00+00:00                          0.000000   \n",
       "2021-04-01 20:00:00+00:00                          0.000000   \n",
       "\n",
       "                           West_total_irrad_poa_ground_diffuse  ALL_AC_POWER  \n",
       "DATE                                                                          \n",
       "2021-04-01 05:00:00+00:00                             0.000000    -15.800000  \n",
       "2021-04-01 06:00:00+00:00                             0.181966      6.966640  \n",
       "2021-04-01 07:00:00+00:00                             1.182776    274.776595  \n",
       "2021-04-01 08:00:00+00:00                             2.956941    800.231895  \n",
       "2021-04-01 09:00:00+00:00                             5.186019   1366.273150  \n",
       "2021-04-01 10:00:00+00:00                             7.278623   1766.901724  \n",
       "2021-04-01 11:00:00+00:00                             8.916313   2056.893567  \n",
       "2021-04-01 12:00:00+00:00                             9.507701   2230.463170  \n",
       "2021-04-01 13:00:00+00:00                             9.325736   2270.108539  \n",
       "2021-04-01 14:00:00+00:00                             8.506891   2195.337402  \n",
       "2021-04-01 15:00:00+00:00                             7.460589   2183.405752  \n",
       "2021-04-01 16:00:00+00:00                             5.322493   2000.806669  \n",
       "2021-04-01 17:00:00+00:00                             2.911449   1431.255067  \n",
       "2021-04-01 18:00:00+00:00                             0.864336    190.514067  \n",
       "2021-04-01 19:00:00+00:00                             0.000000    -15.800000  \n",
       "2021-04-01 20:00:00+00:00                             0.000000    -15.800000  \n",
       "\n",
       "[16 rows x 64 columns]"
      ],
      "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>WIND_DIRECTION</th>\n      <th>WIND_SPEED</th>\n      <th>CLOUD_COVER_TOTAL</th>\n      <th>PRESSURE_AIR_SURFACE_REDUCED</th>\n      <th>PROBABILITY_RADIATION_GLOBAL_LAST_1H</th>\n      <th>RADIATION_GLOBAL</th>\n      <th>TEMPERATURE_AIR_200</th>\n      <th>TEMPERATURE_DEW_POINT_200</th>\n      <th>WEATHER_SIGNIFICANT</th>\n      <th>TEMPERATURE_AIR_200DEGC</th>\n      <th>...</th>\n      <th>West_diode_params_I_o</th>\n      <th>West_diode_params_R_s</th>\n      <th>West_diode_params_R_sh</th>\n      <th>West_diode_params_nNsVth</th>\n      <th>West_total_irrad_poa_global</th>\n      <th>West_total_irrad_poa_direct</th>\n      <th>West_total_irrad_poa_diffuse</th>\n      <th>West_total_irrad_poa_sky_diffuse</th>\n      <th>West_total_irrad_poa_ground_diffuse</th>\n      <th>ALL_AC_POWER</th>\n    </tr>\n    <tr>\n      <th>DATE</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      <th>2021-04-01 05:00:00+00:00</th>\n      <td>229.0</td>\n      <td>1.54</td>\n      <td>56.0</td>\n      <td>102010.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>281.45</td>\n      <td>278.35</td>\n      <td>1.0</td>\n      <td>8.3</td>\n      <td>...</td>\n      <td>1.218804e-12</td>\n      <td>0.078582</td>\n      <td>inf</td>\n      <td>1.458206</td>\n      <td>0.000000</td>\n      <td>-0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>-15.800000</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 06:00:00+00:00</th>\n      <td>241.0</td>\n      <td>1.54</td>\n      <td>50.0</td>\n      <td>102040.0</td>\n      <td>10.0</td>\n      <td>40.0</td>\n      <td>282.45</td>\n      <td>278.45</td>\n      <td>1.0</td>\n      <td>9.3</td>\n      <td>...</td>\n      <td>1.557988e-12</td>\n      <td>0.078582</td>\n      <td>1.320768e+04</td>\n      <td>1.465003</td>\n      <td>9.936859</td>\n      <td>-0.000000</td>\n      <td>9.936859</td>\n      <td>9.754893</td>\n      <td>0.181966</td>\n      <td>6.966640</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 07:00:00+00:00</th>\n      <td>269.0</td>\n      <td>2.06</td>\n      <td>50.0</td>\n      <td>102050.0</td>\n      <td>23.0</td>\n      <td>260.0</td>\n      <td>284.45</td>\n      <td>278.95</td>\n      <td>1.0</td>\n      <td>11.3</td>\n      <td>...</td>\n      <td>3.043298e-12</td>\n      <td>0.078582</td>\n      <td>2.054070e+03</td>\n      <td>1.483856</td>\n      <td>63.894058</td>\n      <td>-0.000000</td>\n      <td>63.894058</td>\n      <td>62.711282</td>\n      <td>1.182776</td>\n      <td>274.776595</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 08:00:00+00:00</th>\n      <td>315.0</td>\n      <td>2.06</td>\n      <td>53.0</td>\n      <td>102080.0</td>\n      <td>35.0</td>\n      <td>650.0</td>\n      <td>286.45</td>\n      <td>279.35</td>\n      <td>1.0</td>\n      <td>13.3</td>\n      <td>...</td>\n      <td>6.947384e-12</td>\n      <td>0.078582</td>\n      <td>8.780048e+02</td>\n      <td>1.507757</td>\n      <td>149.478518</td>\n      <td>0.000000</td>\n      <td>149.478518</td>\n      <td>146.521578</td>\n      <td>2.956941</td>\n      <td>800.231895</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 09:00:00+00:00</th>\n      <td>322.0</td>\n      <td>2.57</td>\n      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<td>2.963517e+02</td>\n      <td>1.568021</td>\n      <td>442.861857</td>\n      <td>244.335160</td>\n      <td>198.526697</td>\n      <td>189.018996</td>\n      <td>9.507701</td>\n      <td>2230.463170</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 13:00:00+00:00</th>\n      <td>341.0</td>\n      <td>4.63</td>\n      <td>34.0</td>\n      <td>102110.0</td>\n      <td>61.0</td>\n      <td>2050.0</td>\n      <td>290.95</td>\n      <td>278.55</td>\n      <td>1.0</td>\n      <td>17.8</td>\n      <td>...</td>\n      <td>8.357432e-11</td>\n      <td>0.078582</td>\n      <td>2.349234e+02</td>\n      <td>1.584520</td>\n      <td>558.662322</td>\n      <td>367.945013</td>\n      <td>190.717309</td>\n      <td>181.391573</td>\n      <td>9.325736</td>\n      <td>2270.108539</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 14:00:00+00:00</th>\n      <td>347.0</td>\n      <td>5.14</td>\n      <td>33.0</td>\n      <td>102120.0</td>\n      <td>61.0</td>\n      <td>1870.0</td>\n      <td>290.65</td>\n 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<td>355.0</td>\n      <td>5.66</td>\n      <td>42.0</td>\n      <td>102160.0</td>\n      <td>60.0</td>\n      <td>1170.0</td>\n      <td>289.15</td>\n      <td>277.55</td>\n      <td>1.0</td>\n      <td>16.0</td>\n      <td>...</td>\n      <td>1.184240e-10</td>\n      <td>0.078582</td>\n      <td>1.754605e+02</td>\n      <td>1.595885</td>\n      <td>747.991138</td>\n      <td>632.311518</td>\n      <td>115.679620</td>\n      <td>110.357126</td>\n      <td>5.322493</td>\n      <td>2000.806669</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 17:00:00+00:00</th>\n      <td>356.0</td>\n      <td>5.14</td>\n      <td>44.0</td>\n      <td>102210.0</td>\n      <td>53.0</td>\n      <td>640.0</td>\n      <td>287.55</td>\n      <td>277.25</td>\n      <td>1.0</td>\n      <td>14.4</td>\n      <td>...</td>\n      <td>4.075804e-11</td>\n      <td>0.078582</td>\n      <td>2.456269e+02</td>\n      <td>1.561592</td>\n      <td>534.317874</td>\n      <td>457.972193</td>\n      <td>76.345682</td>\n      <td>73.434233</td>\n      <td>2.911449</td>\n      <td>1431.255067</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 18:00:00+00:00</th>\n      <td>2.0</td>\n      <td>4.63</td>\n      <td>50.0</td>\n      <td>102240.0</td>\n      <td>44.0</td>\n      <td>190.0</td>\n      <td>285.95</td>\n      <td>276.65</td>\n      <td>1.0</td>\n      <td>12.8</td>\n      <td>...</td>\n      <td>3.526683e-12</td>\n      <td>0.078582</td>\n      <td>2.764851e+03</td>\n      <td>1.488071</td>\n      <td>47.468324</td>\n      <td>0.000000</td>\n      <td>47.468324</td>\n      <td>46.603988</td>\n      <td>0.864336</td>\n      <td>190.514067</td>\n    </tr>\n    <tr>\n      <th>2021-04-01 19:00:00+00:00</th>\n      <td>4.0</td>\n      <td>4.63</td>\n      <td>45.0</td>\n      <td>102310.0</td>\n      <td>12.0</td>\n      <td>0.0</td>\n      <td>284.75</td>\n      <td>276.45</td>\n      <td>1.0</td>\n      <td>11.6</td>\n      <td>...</td>\n      <td>2.250706e-12</td>\n      <td>0.078582</td>\n      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     },
     "metadata": {},
     "execution_count": 86
    }
   ],
   "source": [
    "forecast_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Generated '}, xlabel='Time', ylabel='Power [W]'>"
      ]
     },
     "metadata": {},
     "execution_count": 87
    },
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
    "ax.set_xlabel(\"Time\") \n",
    "ax.set_ylabel(\"Power [W]\")\n",
    "ax.set_title(\"Generated \")\n",
    "sns.lineplot(x=\"time\", y=\"H_sun\", data=mydata, label=\"Sun Height\", ax=ax)\n",
    "sns.lineplot(x=forecast_data.index, y=\"ELEVATION\", data=forecast_data, label=\"Sun Height\", ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Generated '}, xlabel='Time', ylabel='Power [W]'>"
      ]
     },
     "metadata": {},
     "execution_count": 89
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
    "ax.set_xlabel(\"Time\") \n",
    "ax.set_ylabel(\"Power [W]\")\n",
    "ax.set_title(\"Generated \")\n",
    "sns.lineplot(x=\"time\", y=\"Gb(i)\", data=mydata, label=\"Direct in-plane irradiance\", ax=ax)\n",
    "sns.lineplot(x=\"time\", y=\"Gd(i)\", data=mydata, label=\"Diffuse in-plane irradiance\", ax=ax)\n",
    "sns.lineplot(x=\"DATE\", y=\"Ost_total_irrad_poa_direct\", data=forecast_data, label=\"Direct\", ax=ax)\n",
    "sns.lineplot(x=\"DATE\", y=\"Ost_total_irrad_poa_diffuse\", data=forecast_data, label=\"Diffus\", ax=ax)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}