data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Projek Optika Intensitas Cahaya Matahari selama 24 Jam\n",
    "Nama    : Firman Qashdus Sabil \\\n",
    "NIM     : 210321606892 \\\n",
    "Offering: AB\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pengaturan Fonts Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "rc_fonts = {\n",
    "    \"text.usetex\": True,\n",
    "    \"font.size\": 12,\n",
    "    \"mathtext.default\": \"regular\",\n",
    "    \"axes.titlesize\": 18,\n",
    "    \"axes.labelsize\": 16,\n",
    "    \"legend.fontsize\": 14,\n",
    "    \"xtick.labelsize\": 12,\n",
    "    \"ytick.labelsize\": 12,\n",
    "    \"figure.titlesize\": 18,\n",
    "    \"text.latex.preamble\": r\"\\usepackage{amsmath,amssymb,bm}\",\n",
    "    \"font.family\": \"serif\",\n",
    "    \"font.serif\": \"Times\",\n",
    "}\n",
    "matplotlib.rcParams.update(rc_fonts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cuaca\n",
    "Sumber [visualcrossing weather data](https://www.visualcrossing.com/weather/weather-data-services/krebet%20senggrong/metric/2023-11-10/2023-11-11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>name</th>\n",
       "      <th>datetime</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>preciptype</th>\n",
       "      <th>snow</th>\n",
       "      <th>...</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
       "      <th>visibility</th>\n",
       "      <th>solarradiation</th>\n",
       "      <th>solarenergy</th>\n",
       "      <th>uvindex</th>\n",
       "      <th>severerisk</th>\n",
       "      <th>conditions</th>\n",
       "      <th>icon</th>\n",
       "      <th>stations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T00:00:00</td>\n",
       "      <td>18.9</td>\n",
       "      <td>18.9</td>\n",
       "      <td>17.4</td>\n",
       "      <td>91.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T01:00:00</td>\n",
       "      <td>18.6</td>\n",
       "      <td>18.6</td>\n",
       "      <td>17.3</td>\n",
       "      <td>92.15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T02:00:00</td>\n",
       "      <td>18.5</td>\n",
       "      <td>18.5</td>\n",
       "      <td>17.1</td>\n",
       "      <td>91.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T03:00:00</td>\n",
       "      <td>18.6</td>\n",
       "      <td>18.6</td>\n",
       "      <td>16.9</td>\n",
       "      <td>89.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T04:00:00</td>\n",
       "      <td>18.7</td>\n",
       "      <td>18.7</td>\n",
       "      <td>16.7</td>\n",
       "      <td>88.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T05:00:00</td>\n",
       "      <td>18.5</td>\n",
       "      <td>18.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>88.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>80.3</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T06:00:00</td>\n",
       "      <td>20.3</td>\n",
       "      <td>20.3</td>\n",
       "      <td>17.0</td>\n",
       "      <td>81.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>96.1</td>\n",
       "      <td>24.1</td>\n",
       "      <td>67</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T07:00:00</td>\n",
       "      <td>23.5</td>\n",
       "      <td>23.5</td>\n",
       "      <td>17.2</td>\n",
       "      <td>67.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>81.3</td>\n",
       "      <td>24.1</td>\n",
       "      <td>272</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T08:00:00</td>\n",
       "      <td>25.9</td>\n",
       "      <td>25.9</td>\n",
       "      <td>17.1</td>\n",
       "      <td>58.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>18.5</td>\n",
       "      <td>24.1</td>\n",
       "      <td>521</td>\n",
       "      <td>1.9</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>Clear</td>\n",
       "      <td>clear-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T09:00:00</td>\n",
       "      <td>28.4</td>\n",
       "      <td>28.7</td>\n",
       "      <td>16.6</td>\n",
       "      <td>48.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>90.7</td>\n",
       "      <td>24.1</td>\n",
       "      <td>789</td>\n",
       "      <td>2.8</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T10:00:00</td>\n",
       "      <td>30.0</td>\n",
       "      <td>29.9</td>\n",
       "      <td>15.9</td>\n",
       "      <td>42.55</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>94.8</td>\n",
       "      <td>24.1</td>\n",
       "      <td>928</td>\n",
       "      <td>3.3</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T11:00:00</td>\n",
       "      <td>31.2</td>\n",
       "      <td>30.9</td>\n",
       "      <td>15.5</td>\n",
       "      <td>38.72</td>\n",
       "      <td>0.1</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>99.1</td>\n",
       "      <td>22.6</td>\n",
       "      <td>959</td>\n",
       "      <td>3.5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T12:00:00</td>\n",
       "      <td>29.3</td>\n",
       "      <td>29.5</td>\n",
       "      <td>16.4</td>\n",
       "      <td>45.73</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1011</td>\n",
       "      <td>100.0</td>\n",
       "      <td>21.9</td>\n",
       "      <td>478</td>\n",
       "      <td>1.7</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T13:00:00</td>\n",
       "      <td>23.8</td>\n",
       "      <td>23.8</td>\n",
       "      <td>18.9</td>\n",
       "      <td>74.05</td>\n",
       "      <td>1.3</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>100.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>140</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T14:00:00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>73.62</td>\n",
       "      <td>0.7</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>98.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>202</td>\n",
       "      <td>0.7</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T15:00:00</td>\n",
       "      <td>23.6</td>\n",
       "      <td>23.6</td>\n",
       "      <td>19.5</td>\n",
       "      <td>77.80</td>\n",
       "      <td>2.5</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>99.3</td>\n",
       "      <td>6.1</td>\n",
       "      <td>178</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T16:00:00</td>\n",
       "      <td>22.6</td>\n",
       "      <td>22.6</td>\n",
       "      <td>19.8</td>\n",
       "      <td>84.21</td>\n",
       "      <td>2.5</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>100.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>99</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T17:00:00</td>\n",
       "      <td>21.6</td>\n",
       "      <td>21.6</td>\n",
       "      <td>19.7</td>\n",
       "      <td>88.95</td>\n",
       "      <td>2.7</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>98.0</td>\n",
       "      <td>5.7</td>\n",
       "      <td>36</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T18:00:00</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>19.8</td>\n",
       "      <td>91.16</td>\n",
       "      <td>1.4</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>88.2</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T19:00:00</td>\n",
       "      <td>21.2</td>\n",
       "      <td>21.2</td>\n",
       "      <td>19.7</td>\n",
       "      <td>91.16</td>\n",
       "      <td>1.1</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>100.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T20:00:00</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>19.8</td>\n",
       "      <td>95.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T21:00:00</td>\n",
       "      <td>20.1</td>\n",
       "      <td>20.1</td>\n",
       "      <td>19.8</td>\n",
       "      <td>98.16</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1016</td>\n",
       "      <td>99.5</td>\n",
       "      <td>20.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T22:00:00</td>\n",
       "      <td>20.5</td>\n",
       "      <td>20.5</td>\n",
       "      <td>19.9</td>\n",
       "      <td>96.36</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>98.6</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-10T23:00:00</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>19.8</td>\n",
       "      <td>95.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>95.6</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T00:00:00</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>19.7</td>\n",
       "      <td>94.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>98.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T01:00:00</td>\n",
       "      <td>20.5</td>\n",
       "      <td>20.5</td>\n",
       "      <td>19.7</td>\n",
       "      <td>95.17</td>\n",
       "      <td>0.2</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>96.8</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T02:00:00</td>\n",
       "      <td>20.4</td>\n",
       "      <td>20.4</td>\n",
       "      <td>19.6</td>\n",
       "      <td>95.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>48.1</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-night</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T03:00:00</td>\n",
       "      <td>19.9</td>\n",
       "      <td>19.9</td>\n",
       "      <td>19.3</td>\n",
       "      <td>96.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>35.6</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-night</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T04:00:00</td>\n",
       "      <td>19.7</td>\n",
       "      <td>19.7</td>\n",
       "      <td>19.2</td>\n",
       "      <td>96.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>14.3</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Clear</td>\n",
       "      <td>clear-night</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T05:00:00</td>\n",
       "      <td>19.3</td>\n",
       "      <td>19.3</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>11.1</td>\n",
       "      <td>22.7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Clear</td>\n",
       "      <td>clear-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T06:00:00</td>\n",
       "      <td>20.8</td>\n",
       "      <td>20.8</td>\n",
       "      <td>19.4</td>\n",
       "      <td>91.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>87.4</td>\n",
       "      <td>22.1</td>\n",
       "      <td>68</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T07:00:00</td>\n",
       "      <td>22.7</td>\n",
       "      <td>22.7</td>\n",
       "      <td>19.7</td>\n",
       "      <td>83.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>280</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>cloudy</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T08:00:00</td>\n",
       "      <td>24.7</td>\n",
       "      <td>24.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>72.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>61.4</td>\n",
       "      <td>24.1</td>\n",
       "      <td>512</td>\n",
       "      <td>1.8</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T09:00:00</td>\n",
       "      <td>27.2</td>\n",
       "      <td>28.3</td>\n",
       "      <td>18.8</td>\n",
       "      <td>60.13</td>\n",
       "      <td>0.1</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>97.5</td>\n",
       "      <td>23.7</td>\n",
       "      <td>761</td>\n",
       "      <td>2.7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T10:00:00</td>\n",
       "      <td>28.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>18.6</td>\n",
       "      <td>56.66</td>\n",
       "      <td>0.4</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>100.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>878</td>\n",
       "      <td>3.2</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T11:00:00</td>\n",
       "      <td>27.6</td>\n",
       "      <td>28.8</td>\n",
       "      <td>19.0</td>\n",
       "      <td>59.47</td>\n",
       "      <td>0.9</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>97.2</td>\n",
       "      <td>10.4</td>\n",
       "      <td>965</td>\n",
       "      <td>3.5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T12:00:00</td>\n",
       "      <td>27.0</td>\n",
       "      <td>28.4</td>\n",
       "      <td>19.8</td>\n",
       "      <td>64.75</td>\n",
       "      <td>0.7</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>64.3</td>\n",
       "      <td>12.0</td>\n",
       "      <td>944</td>\n",
       "      <td>3.4</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T13:00:00</td>\n",
       "      <td>27.3</td>\n",
       "      <td>28.6</td>\n",
       "      <td>19.5</td>\n",
       "      <td>62.44</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>42.3</td>\n",
       "      <td>9.3</td>\n",
       "      <td>814</td>\n",
       "      <td>2.9</td>\n",
       "      <td>8</td>\n",
       "      <td>30</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T14:00:00</td>\n",
       "      <td>27.3</td>\n",
       "      <td>28.6</td>\n",
       "      <td>19.4</td>\n",
       "      <td>62.05</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1011</td>\n",
       "      <td>16.9</td>\n",
       "      <td>12.0</td>\n",
       "      <td>702</td>\n",
       "      <td>2.5</td>\n",
       "      <td>7</td>\n",
       "      <td>30</td>\n",
       "      <td>Clear</td>\n",
       "      <td>clear-day</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T15:00:00</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>69.54</td>\n",
       "      <td>1.3</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1011</td>\n",
       "      <td>17.6</td>\n",
       "      <td>11.7</td>\n",
       "      <td>620</td>\n",
       "      <td>2.2</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "      <td>Rain</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T16:00:00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>82.31</td>\n",
       "      <td>1.6</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1012</td>\n",
       "      <td>44.5</td>\n",
       "      <td>6.2</td>\n",
       "      <td>389</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T17:00:00</td>\n",
       "      <td>22.4</td>\n",
       "      <td>22.4</td>\n",
       "      <td>20.7</td>\n",
       "      <td>90.12</td>\n",
       "      <td>1.1</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>57.5</td>\n",
       "      <td>19.4</td>\n",
       "      <td>141</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T18:00:00</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>20.3</td>\n",
       "      <td>94.03</td>\n",
       "      <td>1.5</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1013</td>\n",
       "      <td>13.9</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T19:00:00</td>\n",
       "      <td>21.1</td>\n",
       "      <td>21.1</td>\n",
       "      <td>19.9</td>\n",
       "      <td>92.86</td>\n",
       "      <td>1.2</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014</td>\n",
       "      <td>14.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T20:00:00</td>\n",
       "      <td>20.9</td>\n",
       "      <td>20.9</td>\n",
       "      <td>19.9</td>\n",
       "      <td>94.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>25.8</td>\n",
       "      <td>8.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-night</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T21:00:00</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>96.36</td>\n",
       "      <td>0.2</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T22:00:00</td>\n",
       "      <td>20.5</td>\n",
       "      <td>20.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>96.96</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>37.5</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Rain, Partially cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>krebet senggrong</td>\n",
       "      <td>2023-11-11T23:00:00</td>\n",
       "      <td>20.3</td>\n",
       "      <td>20.3</td>\n",
       "      <td>19.8</td>\n",
       "      <td>96.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1015</td>\n",
       "      <td>40.4</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>partly-cloudy-night</td>\n",
       "      <td>remote</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                name             datetime  temp  feelslike   dew  humidity  \\\n",
       "0   krebet senggrong  2023-11-10T00:00:00  18.9       18.9  17.4     91.01   \n",
       "1   krebet senggrong  2023-11-10T01:00:00  18.6       18.6  17.3     92.15   \n",
       "2   krebet senggrong  2023-11-10T02:00:00  18.5       18.5  17.1     91.56   \n",
       "3   krebet senggrong  2023-11-10T03:00:00  18.6       18.6  16.9     89.84   \n",
       "4   krebet senggrong  2023-11-10T04:00:00  18.7       18.7  16.7     88.16   \n",
       "5   krebet senggrong  2023-11-10T05:00:00  18.5       18.5  16.5     88.14   \n",
       "6   krebet senggrong  2023-11-10T06:00:00  20.3       20.3  17.0     81.34   \n",
       "7   krebet senggrong  2023-11-10T07:00:00  23.5       23.5  17.2     67.76   \n",
       "8   krebet senggrong  2023-11-10T08:00:00  25.9       25.9  17.1     58.33   \n",
       "9   krebet senggrong  2023-11-10T09:00:00  28.4       28.7  16.6     48.80   \n",
       "10  krebet senggrong  2023-11-10T10:00:00  30.0       29.9  15.9     42.55   \n",
       "11  krebet senggrong  2023-11-10T11:00:00  31.2       30.9  15.5     38.72   \n",
       "12  krebet senggrong  2023-11-10T12:00:00  29.3       29.5  16.4     45.73   \n",
       "13  krebet senggrong  2023-11-10T13:00:00  23.8       23.8  18.9     74.05   \n",
       "14  krebet senggrong  2023-11-10T14:00:00  24.0       24.0  19.0     73.62   \n",
       "15  krebet senggrong  2023-11-10T15:00:00  23.6       23.6  19.5     77.80   \n",
       "16  krebet senggrong  2023-11-10T16:00:00  22.6       22.6  19.8     84.21   \n",
       "17  krebet senggrong  2023-11-10T17:00:00  21.6       21.6  19.7     88.95   \n",
       "18  krebet senggrong  2023-11-10T18:00:00  21.3       21.3  19.8     91.16   \n",
       "19  krebet senggrong  2023-11-10T19:00:00  21.2       21.2  19.7     91.16   \n",
       "20  krebet senggrong  2023-11-10T20:00:00  20.6       20.6  19.8     95.17   \n",
       "21  krebet senggrong  2023-11-10T21:00:00  20.1       20.1  19.8     98.16   \n",
       "22  krebet senggrong  2023-11-10T22:00:00  20.5       20.5  19.9     96.36   \n",
       "23  krebet senggrong  2023-11-10T23:00:00  20.6       20.6  19.8     95.17   \n",
       "24  krebet senggrong  2023-11-11T00:00:00  20.6       20.6  19.7     94.58   \n",
       "25  krebet senggrong  2023-11-11T01:00:00  20.5       20.5  19.7     95.17   \n",
       "26  krebet senggrong  2023-11-11T02:00:00  20.4       20.4  19.6     95.17   \n",
       "27  krebet senggrong  2023-11-11T03:00:00  19.9       19.9  19.3     96.34   \n",
       "28  krebet senggrong  2023-11-11T04:00:00  19.7       19.7  19.2     96.94   \n",
       "29  krebet senggrong  2023-11-11T05:00:00  19.3       19.3  19.0     98.15   \n",
       "30  krebet senggrong  2023-11-11T06:00:00  20.8       20.8  19.4     91.70   \n",
       "31  krebet senggrong  2023-11-11T07:00:00  22.7       22.7  19.7     83.18   \n",
       "32  krebet senggrong  2023-11-11T08:00:00  24.7       24.7  19.4     72.38   \n",
       "33  krebet senggrong  2023-11-11T09:00:00  27.2       28.3  18.8     60.13   \n",
       "34  krebet senggrong  2023-11-11T10:00:00  28.0       29.0  18.6     56.66   \n",
       "35  krebet senggrong  2023-11-11T11:00:00  27.6       28.8  19.0     59.47   \n",
       "36  krebet senggrong  2023-11-11T12:00:00  27.0       28.4  19.8     64.75   \n",
       "37  krebet senggrong  2023-11-11T13:00:00  27.3       28.6  19.5     62.44   \n",
       "38  krebet senggrong  2023-11-11T14:00:00  27.3       28.6  19.4     62.05   \n",
       "39  krebet senggrong  2023-11-11T15:00:00  26.0       26.0  20.0     69.54   \n",
       "40  krebet senggrong  2023-11-11T16:00:00  24.0       24.0  20.8     82.31   \n",
       "41  krebet senggrong  2023-11-11T17:00:00  22.4       22.4  20.7     90.12   \n",
       "42  krebet senggrong  2023-11-11T18:00:00  21.3       21.3  20.3     94.03   \n",
       "43  krebet senggrong  2023-11-11T19:00:00  21.1       21.1  19.9     92.86   \n",
       "44  krebet senggrong  2023-11-11T20:00:00  20.9       20.9  19.9     94.01   \n",
       "45  krebet senggrong  2023-11-11T21:00:00  20.6       20.6  20.0     96.36   \n",
       "46  krebet senggrong  2023-11-11T22:00:00  20.5       20.5  20.0     96.96   \n",
       "47  krebet senggrong  2023-11-11T23:00:00  20.3       20.3  19.8     96.95   \n",
       "\n",
       "    precip  precipprob preciptype  snow  ...  sealevelpressure  cloudcover  \\\n",
       "0      0.0           0        NaN     0  ...              1014       100.0   \n",
       "1      0.0           0        NaN     0  ...              1014       100.0   \n",
       "2      0.0           0        NaN     0  ...              1013       100.0   \n",
       "3      0.0           0        NaN     0  ...              1013       100.0   \n",
       "4      0.0           0        NaN     0  ...              1014       100.0   \n",
       "5      0.0           0        NaN     0  ...              1014        80.3   \n",
       "6      0.0           0        NaN     0  ...              1015        96.1   \n",
       "7      0.0           0        NaN     0  ...              1015        81.3   \n",
       "8      0.0           0        NaN     0  ...              1015        18.5   \n",
       "9      0.0           0        NaN     0  ...              1014        90.7   \n",
       "10     0.0           0        NaN     0  ...              1013        94.8   \n",
       "11     0.1         100       rain     0  ...              1012        99.1   \n",
       "12     0.3         100       rain     0  ...              1011       100.0   \n",
       "13     1.3         100       rain     0  ...              1012       100.0   \n",
       "14     0.7         100       rain     0  ...              1012        98.0   \n",
       "15     2.5         100       rain     0  ...              1012        99.3   \n",
       "16     2.5         100       rain     0  ...              1012       100.0   \n",
       "17     2.7         100       rain     0  ...              1013        98.0   \n",
       "18     1.4         100       rain     0  ...              1014        88.2   \n",
       "19     1.1         100       rain     0  ...              1014       100.0   \n",
       "20     0.0           0       rain     0  ...              1015       100.0   \n",
       "21     0.3         100       rain     0  ...              1016        99.5   \n",
       "22     0.3         100       rain     0  ...              1015        98.6   \n",
       "23     0.0           0        NaN     0  ...              1014        95.6   \n",
       "24     0.0           0        NaN     0  ...              1014        98.0   \n",
       "25     0.2         100       rain     0  ...              1013        96.8   \n",
       "26     0.0           0        NaN     0  ...              1013        48.1   \n",
       "27     0.0           0        NaN     0  ...              1013        35.6   \n",
       "28     0.0           0        NaN     0  ...              1014        14.3   \n",
       "29     0.0           0        NaN     0  ...              1015        11.1   \n",
       "30     0.0           0        NaN     0  ...              1015        87.4   \n",
       "31     0.0           0        NaN     0  ...              1015       100.0   \n",
       "32     0.0           0        NaN     0  ...              1015        61.4   \n",
       "33     0.1         100       rain     0  ...              1015        97.5   \n",
       "34     0.4         100       rain     0  ...              1014       100.0   \n",
       "35     0.9         100       rain     0  ...              1014        97.2   \n",
       "36     0.7         100       rain     0  ...              1013        64.3   \n",
       "37     1.0         100       rain     0  ...              1012        42.3   \n",
       "38     0.0           0       rain     0  ...              1011        16.9   \n",
       "39     1.3         100       rain     0  ...              1011        17.6   \n",
       "40     1.6         100       rain     0  ...              1012        44.5   \n",
       "41     1.1         100       rain     0  ...              1013        57.5   \n",
       "42     1.5         100       rain     0  ...              1013        13.9   \n",
       "43     1.2         100       rain     0  ...              1014        14.8   \n",
       "44     0.0           0       rain     0  ...              1015        25.8   \n",
       "45     0.2         100       rain     0  ...              1015        31.0   \n",
       "46     0.3         100       rain     0  ...              1015        37.5   \n",
       "47     0.0           0        NaN     0  ...              1015        40.4   \n",
       "\n",
       "    visibility  solarradiation  solarenergy  uvindex  severerisk  \\\n",
       "0         24.1               0          0.0        0          10   \n",
       "1         24.1               0          0.0        0          10   \n",
       "2         24.1               0          0.0        0          10   \n",
       "3         24.1               0          0.0        0          10   \n",
       "4         24.1               0          0.0        0          10   \n",
       "5         24.1               0          0.0        0          10   \n",
       "6         24.1              67          0.2        1          10   \n",
       "7         24.1             272          1.0        3          10   \n",
       "8         24.1             521          1.9        5          10   \n",
       "9         24.1             789          2.8        8          10   \n",
       "10        24.1             928          3.3        9          10   \n",
       "11        22.6             959          3.5       10          10   \n",
       "12        21.9             478          1.7        5          10   \n",
       "13         6.9             140          0.5        1          10   \n",
       "14         8.0             202          0.7        2          10   \n",
       "15         6.1             178          0.6        2          10   \n",
       "16         8.3              99          0.4        1          10   \n",
       "17         5.7              36          0.1        0          10   \n",
       "18         8.5               1          0.0        0          10   \n",
       "19         7.1               0          0.0        0          10   \n",
       "20         5.9               0          0.0        0          10   \n",
       "21        20.3               0          0.0        0          10   \n",
       "22        24.1               0          0.0        0          10   \n",
       "23        24.1               0          0.0        0          10   \n",
       "24        24.1               0          0.0        0          10   \n",
       "25        24.1               0          0.0        0          10   \n",
       "26        24.1               0          0.0        0          10   \n",
       "27        24.1               0          0.0        0          10   \n",
       "28        24.1               0          0.0        0          10   \n",
       "29        22.7               0          0.0        0          10   \n",
       "30        22.1              68          0.2        1          10   \n",
       "31        24.1             280          1.0        3          10   \n",
       "32        24.1             512          1.8        5          10   \n",
       "33        23.7             761          2.7        8          10   \n",
       "34         9.4             878          3.2        9          10   \n",
       "35        10.4             965          3.5       10          10   \n",
       "36        12.0             944          3.4        9          30   \n",
       "37         9.3             814          2.9        8          30   \n",
       "38        12.0             702          2.5        7          30   \n",
       "39        11.7             620          2.2        6          30   \n",
       "40         6.2             389          1.4        4          30   \n",
       "41        19.4             141          0.5        1          30   \n",
       "42         6.5               6          0.0        0          10   \n",
       "43         8.2               0          0.0        0          10   \n",
       "44         8.3               0          0.0        0          10   \n",
       "45         8.1               0          0.0        0          10   \n",
       "46        24.1               0          0.0        0          10   \n",
       "47        24.1               0          0.0        0          10   \n",
       "\n",
       "                conditions                 icon  stations  \n",
       "0                 Overcast               cloudy    remote  \n",
       "1                 Overcast               cloudy    remote  \n",
       "2                 Overcast               cloudy    remote  \n",
       "3                 Overcast               cloudy    remote  \n",
       "4                 Overcast               cloudy    remote  \n",
       "5         Partially cloudy    partly-cloudy-day    remote  \n",
       "6                 Overcast               cloudy    remote  \n",
       "7         Partially cloudy    partly-cloudy-day    remote  \n",
       "8                    Clear            clear-day    remote  \n",
       "9                 Overcast               cloudy    remote  \n",
       "10                Overcast               cloudy    remote  \n",
       "11          Rain, Overcast                 rain    remote  \n",
       "12          Rain, Overcast                 rain    remote  \n",
       "13          Rain, Overcast                 rain    remote  \n",
       "14          Rain, Overcast                 rain    remote  \n",
       "15          Rain, Overcast                 rain    remote  \n",
       "16          Rain, Overcast                 rain    remote  \n",
       "17          Rain, Overcast                 rain    remote  \n",
       "18  Rain, Partially cloudy                 rain    remote  \n",
       "19          Rain, Overcast                 rain    remote  \n",
       "20                Overcast               cloudy    remote  \n",
       "21          Rain, Overcast                 rain    remote  \n",
       "22          Rain, Overcast                 rain    remote  \n",
       "23                Overcast               cloudy    remote  \n",
       "24                Overcast               cloudy    remote  \n",
       "25          Rain, Overcast                 rain    remote  \n",
       "26        Partially cloudy  partly-cloudy-night    remote  \n",
       "27        Partially cloudy  partly-cloudy-night    remote  \n",
       "28                   Clear          clear-night    remote  \n",
       "29                   Clear            clear-day    remote  \n",
       "30        Partially cloudy    partly-cloudy-day    remote  \n",
       "31                Overcast               cloudy    remote  \n",
       "32        Partially cloudy    partly-cloudy-day    remote  \n",
       "33          Rain, Overcast                 rain    remote  \n",
       "34          Rain, Overcast                 rain    remote  \n",
       "35          Rain, Overcast                 rain    remote  \n",
       "36  Rain, Partially cloudy                 rain    remote  \n",
       "37  Rain, Partially cloudy                 rain    remote  \n",
       "38                   Clear            clear-day    remote  \n",
       "39                    Rain                 rain    remote  \n",
       "40  Rain, Partially cloudy                 rain    remote  \n",
       "41  Rain, Partially cloudy                 rain    remote  \n",
       "42                    Rain                 rain    remote  \n",
       "43                    Rain                 rain    remote  \n",
       "44        Partially cloudy  partly-cloudy-night    remote  \n",
       "45  Rain, Partially cloudy                 rain    remote  \n",
       "46  Rain, Partially cloudy                 rain    remote  \n",
       "47        Partially cloudy  partly-cloudy-night    remote  \n",
       "\n",
       "[48 rows x 24 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_cuaca = pd.read_csv(\"dataset/krebet senggrong 2023-11-10 to 2023-11-11 - Weather Data.csv\")\n",
    "data_cuaca"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kompilasi Data Pengukuran Intensitas Cahaya, Cuaca, dan Posisi Matahari"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>No.</th>\n",
       "      <th>Jam</th>\n",
       "      <th>Posisi Matahari (°)</th>\n",
       "      <th colspan=\"2\" halign=\"left\"></th>\n",
       "      <th>Intensitas (lux)</th>\n",
       "      <th colspan=\"2\" halign=\"left\"></th>\n",
       "      <th>Intensitas rata-rata (lux)</th>\n",
       "      <th>Suhu udara (*C)</th>\n",
       "      <th>Kelembapan udara (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Altitude</th>\n",
       "      <th>Deklinasi</th>\n",
       "      <th>Data 1</th>\n",
       "      <th>Data 2</th>\n",
       "      <th>Data 3</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>19:00</td>\n",
       "      <td>247.52</td>\n",
       "      <td>-22.76</td>\n",
       "      <td>-17.146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21.2</td>\n",
       "      <td>91.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20:00</td>\n",
       "      <td>241.78</td>\n",
       "      <td>-36.18</td>\n",
       "      <td>-17.158</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.6</td>\n",
       "      <td>95.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>21:00</td>\n",
       "      <td>232.21</td>\n",
       "      <td>-48.66</td>\n",
       "      <td>-17.170</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.1</td>\n",
       "      <td>98.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>22:00</td>\n",
       "      <td>215.27</td>\n",
       "      <td>-59.03</td>\n",
       "      <td>-17.181</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.5</td>\n",
       "      <td>96.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>23:00</td>\n",
       "      <td>186.96</td>\n",
       "      <td>-64.54</td>\n",
       "      <td>-17.193</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.6</td>\n",
       "      <td>95.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>00:00</td>\n",
       "      <td>155.16</td>\n",
       "      <td>-62.13</td>\n",
       "      <td>-17.205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.6</td>\n",
       "      <td>94.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>01:00</td>\n",
       "      <td>133.73</td>\n",
       "      <td>-53.33</td>\n",
       "      <td>-17.216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.5</td>\n",
       "      <td>95.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>02:00</td>\n",
       "      <td>121.68</td>\n",
       "      <td>-41.51</td>\n",
       "      <td>-17.228</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.4</td>\n",
       "      <td>95.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>03:00</td>\n",
       "      <td>114.64</td>\n",
       "      <td>-28.40</td>\n",
       "      <td>-17.240</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.9</td>\n",
       "      <td>96.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>04:00</td>\n",
       "      <td>110.28</td>\n",
       "      <td>-14.69</td>\n",
       "      <td>-17.251</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.7</td>\n",
       "      <td>96.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>05:00</td>\n",
       "      <td>107.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-17.263</td>\n",
       "      <td>312</td>\n",
       "      <td>306</td>\n",
       "      <td>310</td>\n",
       "      <td>309.333333</td>\n",
       "      <td>19.3</td>\n",
       "      <td>98.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>06:00</td>\n",
       "      <td>105.91</td>\n",
       "      <td>13.72</td>\n",
       "      <td>-17.274</td>\n",
       "      <td>6662</td>\n",
       "      <td>6622</td>\n",
       "      <td>6681</td>\n",
       "      <td>6655.000000</td>\n",
       "      <td>20.8</td>\n",
       "      <td>91.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>07:00</td>\n",
       "      <td>105.33</td>\n",
       "      <td>28.00</td>\n",
       "      <td>-17.286</td>\n",
       "      <td>25453</td>\n",
       "      <td>25518</td>\n",
       "      <td>25326</td>\n",
       "      <td>25432.333330</td>\n",
       "      <td>22.7</td>\n",
       "      <td>83.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>08:00</td>\n",
       "      <td>106.06</td>\n",
       "      <td>42.29</td>\n",
       "      <td>-17.298</td>\n",
       "      <td>59230</td>\n",
       "      <td>57291</td>\n",
       "      <td>58964</td>\n",
       "      <td>58495.000000</td>\n",
       "      <td>24.7</td>\n",
       "      <td>72.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>09:00</td>\n",
       "      <td>109.14</td>\n",
       "      <td>56.22</td>\n",
       "      <td>-17.309</td>\n",
       "      <td>82439</td>\n",
       "      <td>81723</td>\n",
       "      <td>80571</td>\n",
       "      <td>81577.666670</td>\n",
       "      <td>27.2</td>\n",
       "      <td>60.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>10:00</td>\n",
       "      <td>119.34</td>\n",
       "      <td>70.07</td>\n",
       "      <td>-17.321</td>\n",
       "      <td>116971</td>\n",
       "      <td>116969</td>\n",
       "      <td>117208</td>\n",
       "      <td>117049.333300</td>\n",
       "      <td>28.0</td>\n",
       "      <td>56.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>11:00</td>\n",
       "      <td>161.98</td>\n",
       "      <td>80.27</td>\n",
       "      <td>-17.332</td>\n",
       "      <td>153597</td>\n",
       "      <td>153391</td>\n",
       "      <td>153631</td>\n",
       "      <td>153539.666700</td>\n",
       "      <td>27.6</td>\n",
       "      <td>59.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>12:00</td>\n",
       "      <td>230.15</td>\n",
       "      <td>75.20</td>\n",
       "      <td>-17.344</td>\n",
       "      <td>146211</td>\n",
       "      <td>146961</td>\n",
       "      <td>146004</td>\n",
       "      <td>146392.000000</td>\n",
       "      <td>27.0</td>\n",
       "      <td>64.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>13:00</td>\n",
       "      <td>247.85</td>\n",
       "      <td>62.26</td>\n",
       "      <td>-17.355</td>\n",
       "      <td>119068</td>\n",
       "      <td>119679</td>\n",
       "      <td>119120</td>\n",
       "      <td>119289.000000</td>\n",
       "      <td>27.3</td>\n",
       "      <td>62.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>14:00</td>\n",
       "      <td>252.94</td>\n",
       "      <td>48.24</td>\n",
       "      <td>-17.367</td>\n",
       "      <td>29602</td>\n",
       "      <td>29658</td>\n",
       "      <td>30156</td>\n",
       "      <td>29805.333330</td>\n",
       "      <td>27.3</td>\n",
       "      <td>62.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>15:00</td>\n",
       "      <td>254.46</td>\n",
       "      <td>33.99</td>\n",
       "      <td>-17.379</td>\n",
       "      <td>11497</td>\n",
       "      <td>11355</td>\n",
       "      <td>11450</td>\n",
       "      <td>11434.000000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>69.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>16:00</td>\n",
       "      <td>254.35</td>\n",
       "      <td>19.70</td>\n",
       "      <td>-17.390</td>\n",
       "      <td>9445</td>\n",
       "      <td>9475</td>\n",
       "      <td>9425</td>\n",
       "      <td>9448.333333</td>\n",
       "      <td>24.0</td>\n",
       "      <td>82.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>17:00</td>\n",
       "      <td>253.14</td>\n",
       "      <td>5.54</td>\n",
       "      <td>-17.402</td>\n",
       "      <td>1706</td>\n",
       "      <td>1720</td>\n",
       "      <td>1755</td>\n",
       "      <td>1727.000000</td>\n",
       "      <td>22.4</td>\n",
       "      <td>90.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>18:00</td>\n",
       "      <td>250.87</td>\n",
       "      <td>-8.82</td>\n",
       "      <td>-17.413</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21.3</td>\n",
       "      <td>94.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   No.    Jam Posisi Matahari (°)                    Intensitas (lux)          \\\n",
       "                          Azimuth Altitude Deklinasi           Data 1  Data 2   \n",
       "0    1  19:00              247.52   -22.76   -17.146                0       0   \n",
       "1    2  20:00              241.78   -36.18   -17.158                0       0   \n",
       "2    3  21:00              232.21   -48.66   -17.170                0       0   \n",
       "3    4  22:00              215.27   -59.03   -17.181                0       0   \n",
       "4    5  23:00              186.96   -64.54   -17.193                0       0   \n",
       "5    6  00:00              155.16   -62.13   -17.205                0       0   \n",
       "6    7  01:00              133.73   -53.33   -17.216                0       0   \n",
       "7    8  02:00              121.68   -41.51   -17.228                0       0   \n",
       "8    9  03:00              114.64   -28.40   -17.240                0       0   \n",
       "9   10  04:00              110.28   -14.69   -17.251                0       0   \n",
       "10  11  05:00              107.53     0.00   -17.263              312     306   \n",
       "11  12  06:00              105.91    13.72   -17.274             6662    6622   \n",
       "12  13  07:00              105.33    28.00   -17.286            25453   25518   \n",
       "13  14  08:00              106.06    42.29   -17.298            59230   57291   \n",
       "14  15  09:00              109.14    56.22   -17.309            82439   81723   \n",
       "15  16  10:00              119.34    70.07   -17.321           116971  116969   \n",
       "16  17  11:00              161.98    80.27   -17.332           153597  153391   \n",
       "17  18  12:00              230.15    75.20   -17.344           146211  146961   \n",
       "18  19  13:00              247.85    62.26   -17.355           119068  119679   \n",
       "19  20  14:00              252.94    48.24   -17.367            29602   29658   \n",
       "20  21  15:00              254.46    33.99   -17.379            11497   11355   \n",
       "21  22  16:00              254.35    19.70   -17.390             9445    9475   \n",
       "22  23  17:00              253.14     5.54   -17.402             1706    1720   \n",
       "23  24  18:00              250.87    -8.82   -17.413                0       0   \n",
       "\n",
       "           Intensitas rata-rata (lux) Suhu udara (*C) Kelembapan udara (%)  \n",
       "    Data 3                                                                  \n",
       "0        0                   0.000000            21.2                91.16  \n",
       "1        0                   0.000000            20.6                95.17  \n",
       "2        0                   0.000000            20.1                98.16  \n",
       "3        0                   0.000000            20.5                96.36  \n",
       "4        0                   0.000000            20.6                95.17  \n",
       "5        0                   0.000000            20.6                94.58  \n",
       "6        0                   0.000000            20.5                95.17  \n",
       "7        0                   0.000000            20.4                95.17  \n",
       "8        0                   0.000000            19.9                96.34  \n",
       "9        0                   0.000000            19.7                96.94  \n",
       "10     310                 309.333333            19.3                98.15  \n",
       "11    6681                6655.000000            20.8                91.70  \n",
       "12   25326               25432.333330            22.7                83.18  \n",
       "13   58964               58495.000000            24.7                72.38  \n",
       "14   80571               81577.666670            27.2                60.13  \n",
       "15  117208              117049.333300            28.0                56.66  \n",
       "16  153631              153539.666700            27.6                59.47  \n",
       "17  146004              146392.000000            27.0                64.75  \n",
       "18  119120              119289.000000            27.3                62.44  \n",
       "19   30156               29805.333330            27.3                62.05  \n",
       "20   11450               11434.000000            26.0                69.54  \n",
       "21    9425                9448.333333            24.0                82.31  \n",
       "22    1755                1727.000000            22.4                90.12  \n",
       "23       0                   0.000000            21.3                94.03  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_percobaan = pd.read_csv(\"dataset/Analisis Data Projek Optika - Sheet1.csv\", header=[0,1])\n",
    "data_percobaan = data_percobaan.rename(columns=lambda x: x if not 'Unnamed' in str(x) else '')\n",
    "data_percobaan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Maksimum dan Minimum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No.                                           1\n",
       "Jam                                       00:00\n",
       "Posisi Matahari (°)         Azimuth      105.33\n",
       "                            Altitude     -64.54\n",
       "                            Deklinasi   -17.413\n",
       "Intensitas (lux)            Data 1            0\n",
       "                            Data 2            0\n",
       "                            Data 3            0\n",
       "Intensitas rata-rata (lux)                  0.0\n",
       "Suhu udara (*C)                            19.3\n",
       "Kelembapan udara (%)                      56.66\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "minimum = data_percobaan.min()\n",
    "minimum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No.                                               24\n",
       "Jam                                            23:00\n",
       "Posisi Matahari (°)         Azimuth           254.46\n",
       "                            Altitude           80.27\n",
       "                            Deklinasi        -17.146\n",
       "Intensitas (lux)            Data 1            153597\n",
       "                            Data 2            153391\n",
       "                            Data 3            153631\n",
       "Intensitas rata-rata (lux)               153539.6667\n",
       "Suhu udara (*C)                                 28.0\n",
       "Kelembapan udara (%)                           98.16\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maksimum = data_percobaan.max()\n",
    "maksimum"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Intensitas Cahaya Matahari Tiap Jam selama 24 Jam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "intensitas_cahaya = data_percobaan[\"Intensitas rata-rata (lux)\"]\n",
    "waktu_pengukuran = data_percobaan[\"Jam\"]\n",
    "\n",
    "figure, (grafik_1) = plt.subplots(1, 1, figsize=(12, 6))\n",
    "grafik_1.plot(waktu_pengukuran, intensitas_cahaya, linewidth=2,\n",
    "              color='blue', linestyle=\"--\", marker=\"D\", markerfacecolor='black')\n",
    "grafik_1.grid()\n",
    "grafik_1.set_title(\n",
    "    '''Grafik Hubungan Waktu Pengukuran Data terhadap\n",
    "Intensitas Cahaya (lux) yang didapat''', pad=10)\n",
    "grafik_1.set_xlabel(r'Waktu Pengukuran Data')\n",
    "grafik_1.set_ylabel('Intensitas Cahaya (Lux)')\n",
    "plt.xticks(ticks=waktu_pengukuran, rotation=45, ha='right')\n",
    "for axis in ['top', 'bottom', 'left', 'right']:\n",
    "    grafik_1.spines[axis].set_linewidth(0.9)\n",
    "\n",
    "figure.savefig(\"dataset/grafik waktu vs intensitas.pdf\", format=\"pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Intensitas Cahaya Matahari terhadap Suhu Udara"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering & Sorting 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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Intensitas rata-rata (lux)</th>\n",
       "      <th>Suhu udara (*C)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>309.333333</td>\n",
       "      <td>19.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1727.000000</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>6655.000000</td>\n",
       "      <td>20.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9448.333333</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11434.000000</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>25432.333330</td>\n",
       "      <td>22.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>29805.333330</td>\n",
       "      <td>27.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>58495.000000</td>\n",
       "      <td>24.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>81577.666670</td>\n",
       "      <td>27.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>117049.333300</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>119289.000000</td>\n",
       "      <td>27.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>146392.000000</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>153539.666700</td>\n",
       "      <td>27.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Intensitas rata-rata (lux) Suhu udara (*C)\n",
       "                                             \n",
       "9                    0.000000            19.7\n",
       "10                 309.333333            19.3\n",
       "22                1727.000000            22.4\n",
       "11                6655.000000            20.8\n",
       "21                9448.333333            24.0\n",
       "20               11434.000000            26.0\n",
       "12               25432.333330            22.7\n",
       "19               29805.333330            27.3\n",
       "13               58495.000000            24.7\n",
       "14               81577.666670            27.2\n",
       "15              117049.333300            28.0\n",
       "18              119289.000000            27.3\n",
       "17              146392.000000            27.0\n",
       "16              153539.666700            27.6"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_intensitas_vs_suhu = data_percobaan.loc[9:22, [\n",
    "    \"Intensitas rata-rata (lux)\", \"Suhu udara (*C)\"]].copy(deep=True).sort_values(by=[\"Intensitas rata-rata (lux)\"])\n",
    "data_intensitas_vs_suhu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "intensitas_cahaya_filtered = data_intensitas_vs_suhu[\"Intensitas rata-rata (lux)\"]\n",
    "suhu_udara = data_intensitas_vs_suhu[\"Suhu udara (*C)\"]\n",
    "\n",
    "figure, (grafik_intensitas_vs_suhu) = plt.subplots(1, 1, figsize=(12, 6))\n",
    "grafik_intensitas_vs_suhu.plot(intensitas_cahaya_filtered, suhu_udara, linewidth=2,\n",
    "                               color='blue', linestyle=\"--\", marker=\"D\", markerfacecolor='black')\n",
    "\n",
    "grafik_intensitas_vs_suhu.set_title('''Grafik Hubungan Intensitas Cahaya Matahari terhadap Suhu Udara''', pad=10)\n",
    "grafik_intensitas_vs_suhu.set_xlabel(r'Intensitas Cahaya (Lux)')\n",
    "grafik_intensitas_vs_suhu.set_ylabel('Suhu Udara (${}^\\circ$C)')\n",
    "grafik_intensitas_vs_suhu.axis([-1000, 156000, 18, 30])\n",
    "m, b = np.polyfit(intensitas_cahaya_filtered, suhu_udara, deg=1)\n",
    "plt.axline(xy1=(0, b), slope=m, label=f'$y = {m:.12f}x {b:+.1f}$', color='orange')\n",
    "grafik_intensitas_vs_suhu.legend()\n",
    "grafik_intensitas_vs_suhu.grid()\n",
    "plt.xticks(ticks=np.setdiff1d(np.append(np.arange(0, 160000, 10000), intensitas_cahaya_filtered), [\n",
    "           0, 10000, 30000, 80000, 60000, 150000, 120000]), rotation=45, ha='right')\n",
    "for axis in ['top', 'bottom', 'left', 'right']:\n",
    "    grafik_intensitas_vs_suhu.spines[axis].set_linewidth(0.9)\n",
    "\n",
    "figure.savefig(\"dataset/grafik intensitas vs suhu.pdf\", format=\"pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Intensitas Cahaya Matahari terhadap Kelembapan Udara"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering & Sorting Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Intensitas rata-rata (lux)</th>\n",
       "      <th>Kelembapan udara (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>96.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>309.333333</td>\n",
       "      <td>98.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1727.000000</td>\n",
       "      <td>90.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>6655.000000</td>\n",
       "      <td>91.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9448.333333</td>\n",
       "      <td>82.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11434.000000</td>\n",
       "      <td>69.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>25432.333330</td>\n",
       "      <td>83.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>29805.333330</td>\n",
       "      <td>62.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>58495.000000</td>\n",
       "      <td>72.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>81577.666670</td>\n",
       "      <td>60.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>117049.333300</td>\n",
       "      <td>56.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>119289.000000</td>\n",
       "      <td>62.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>146392.000000</td>\n",
       "      <td>64.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>153539.666700</td>\n",
       "      <td>59.47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Intensitas rata-rata (lux) Kelembapan udara (%)\n",
       "                                                  \n",
       "9                    0.000000                96.94\n",
       "10                 309.333333                98.15\n",
       "22                1727.000000                90.12\n",
       "11                6655.000000                91.70\n",
       "21                9448.333333                82.31\n",
       "20               11434.000000                69.54\n",
       "12               25432.333330                83.18\n",
       "19               29805.333330                62.05\n",
       "13               58495.000000                72.38\n",
       "14               81577.666670                60.13\n",
       "15              117049.333300                56.66\n",
       "18              119289.000000                62.44\n",
       "17              146392.000000                64.75\n",
       "16              153539.666700                59.47"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_intensitas_vs_kelembapan = data_percobaan.loc[9:22, [\n",
    "    \"Intensitas rata-rata (lux)\", \"Kelembapan udara (%)\"]].copy(deep=True).sort_values(by=[\"Intensitas rata-rata (lux)\"])\n",
    "data_intensitas_vs_kelembapan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "intensitas_cahaya_filtered = data_intensitas_vs_kelembapan[\n",
    "    \"Intensitas rata-rata (lux)\"]\n",
    "kelembapan_udara = data_intensitas_vs_kelembapan[\"Kelembapan udara (%)\"]\n",
    "\n",
    "figure, (grafik_itensitas_vs_kelembapan) = plt.subplots(1, 1, figsize=(12, 6))\n",
    "grafik_itensitas_vs_kelembapan.plot(intensitas_cahaya_filtered, kelembapan_udara, linewidth=2,\n",
    "                                    color='blue', linestyle=\"--\", marker=\"D\", markerfacecolor='black')\n",
    "\n",
    "grafik_itensitas_vs_kelembapan.set_title(\n",
    "    '''Grafik Hubungan Intensitas Cahaya Matahari terhadap Kelembapan Udara''', pad=10)\n",
    "grafik_itensitas_vs_kelembapan.set_xlabel('Intensitas Cahaya (Lux)')\n",
    "grafik_itensitas_vs_kelembapan.set_ylabel('Kelembapan Udara (%)')\n",
    "grafik_itensitas_vs_kelembapan.axis([-1000, 156000, 55, 98])\n",
    "m, b = np.polyfit(intensitas_cahaya_filtered, kelembapan_udara, deg=1)\n",
    "plt.axline(xy1=(0, b), slope=m,\n",
    "           label=f'$y = {m:.12f}x {b:+.1f}$', color='orange')\n",
    "grafik_itensitas_vs_kelembapan.legend()\n",
    "grafik_itensitas_vs_kelembapan.grid()\n",
    "plt.xticks(ticks=np.setdiff1d(np.append(np.arange(0, 160000, 10000), intensitas_cahaya_filtered), [\n",
    "           0, 10000, 30000, 80000, 60000, 150000, 120000]), rotation=45, ha='right')\n",
    "for axis in ['top', 'bottom', 'left', 'right']:\n",
    "    grafik_itensitas_vs_kelembapan.spines[axis].set_linewidth(0.9)\n",
    "\n",
    "figure.savefig(\"dataset/grafik intensitas vs kelembapan.pdf\", format=\"pdf\", bbox_inches='tight')"
   ]
  }
 ],
 "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": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}