{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import kagglehub\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Path to dataset files: C:\\Users\\ewell\\.cache\\kagglehub\\datasets\\ulrikthygepedersen\\electricity-demands\\versions\\1\n"
     ]
    }
   ],
   "source": [
    "# Download latest version\n",
    "path = kagglehub.dataset_download(\"ulrikthygepedersen/electricity-demands\")\n",
    "\n",
    "print(\"Path to dataset files:\", path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(path+\"/electricity.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
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       "         date   day    period  nswprice  nswdemand  vicprice  vicdemand  \\\n",
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       "\n",
       "       transfer    class  \n",
       "0      0.414912    b'UP'  \n",
       "1      0.414912    b'UP'  \n",
       "2      0.414912    b'UP'  \n",
       "3      0.414912    b'UP'  \n",
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       "...         ...      ...  \n",
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       "45308  0.420614  b'DOWN'  \n",
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       "45310  0.206579    b'UP'  \n",
       "45311  0.231140  b'DOWN'  \n",
       "\n",
       "[45312 rows x 9 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "         date  day    period  nswprice  nswdemand  vicprice  vicdemand  \\\n",
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       "45310  0.9158    7  0.978723  0.066651   0.329366  0.004630   0.345417   \n",
       "45311  0.9158    7  1.000000  0.050679   0.288753  0.003542   0.355256   \n",
       "\n",
       "       transfer  class  \n",
       "0      0.414912      1  \n",
       "1      0.414912      1  \n",
       "2      0.414912      1  \n",
       "3      0.414912      1  \n",
       "4      0.414912      0  \n",
       "...         ...    ...  \n",
       "45307  0.405263      0  \n",
       "45308  0.420614      0  \n",
       "45309  0.362281      0  \n",
       "45310  0.206579      1  \n",
       "45311  0.231140      0  \n",
       "\n",
       "[45312 rows x 9 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_df = df.dropna()\n",
    "\n",
    "cleaned_df['class'] = cleaned_df['class'].map(lambda x: x.split('\\'')[1])\n",
    "cleaned_df['day'] = cleaned_df['day'].map(lambda x: x.split('\\'')[1])\n",
    "\n",
    "cleaned_df['day'] = cleaned_df['day'].astype(int)\n",
    "\n",
    "def clean_class(val):\n",
    "    if val == \"UP\":\n",
    "        return 1\n",
    "    elif val == \"DOWN\":\n",
    "        return 0\n",
    "    return -1\n",
    "\n",
    "cleaned_df['class'] = cleaned_df['class'].map(clean_class)\n",
    "\n",
    "cleaned_df.drop(cleaned_df[cleaned_df['class'] == -1].index, inplace=True)\n",
    "cleaned_df.drop(cleaned_df[(cleaned_df['day'] < 1) & (cleaned_df['day'] > 7)].index, inplace=True)\n",
    "\n",
    "\n",
    "cleaned_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def round_to(x, base=0.5):\n",
    "    return base * round(x/base)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "942\n"
     ]
    }
   ],
   "source": [
    "from datetime import date\n",
    "\n",
    "d0 = date(1996, 5,7)\n",
    "d1 = date(1998, 12, 5)\n",
    "delta = d1 - d0\n",
    "print(delta.days)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.056443</td>\n",
       "      <td>0.439155</td>\n",
       "      <td>0.003467</td>\n",
       "      <td>0.422915</td>\n",
       "      <td>0.414912</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.000044</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.059235</td>\n",
       "      <td>0.442874</td>\n",
       "      <td>0.003467</td>\n",
       "      <td>0.422915</td>\n",
       "      <td>0.414912</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.000088</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.054642</td>\n",
       "      <td>0.448230</td>\n",
       "      <td>0.003467</td>\n",
       "      <td>0.422915</td>\n",
       "      <td>0.414912</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>0.000133</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.075868</td>\n",
       "      <td>0.459833</td>\n",
       "      <td>0.003467</td>\n",
       "      <td>0.422915</td>\n",
       "      <td>0.414912</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>0.000177</td>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.076948</td>\n",
       "      <td>0.436924</td>\n",
       "      <td>0.003467</td>\n",
       "      <td>0.422915</td>\n",
       "      <td>0.414912</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45072</th>\n",
       "      <td>0.915623</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.078300</td>\n",
       "      <td>0.403303</td>\n",
       "      <td>0.005353</td>\n",
       "      <td>0.415847</td>\n",
       "      <td>0.423246</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45120</th>\n",
       "      <td>0.915667</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.076018</td>\n",
       "      <td>0.397650</td>\n",
       "      <td>0.005206</td>\n",
       "      <td>0.401864</td>\n",
       "      <td>0.408772</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45168</th>\n",
       "      <td>0.915712</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.075087</td>\n",
       "      <td>0.392740</td>\n",
       "      <td>0.005164</td>\n",
       "      <td>0.403418</td>\n",
       "      <td>0.376316</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45216</th>\n",
       "      <td>0.915756</td>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.068062</td>\n",
       "      <td>0.403898</td>\n",
       "      <td>0.004728</td>\n",
       "      <td>0.396686</td>\n",
       "      <td>0.371930</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45264</th>\n",
       "      <td>0.915800</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.071274</td>\n",
       "      <td>0.391550</td>\n",
       "      <td>0.005041</td>\n",
       "      <td>0.387623</td>\n",
       "      <td>0.215351</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>933 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date  day  period  nswprice  nswdemand  vicprice  vicdemand  \\\n",
       "0      0.000000    2     0.0  0.056443   0.439155  0.003467   0.422915   \n",
       "48     0.000044    3     0.0  0.059235   0.442874  0.003467   0.422915   \n",
       "96     0.000088    4     0.0  0.054642   0.448230  0.003467   0.422915   \n",
       "144    0.000133    5     0.0  0.075868   0.459833  0.003467   0.422915   \n",
       "192    0.000177    6     0.0  0.076948   0.436924  0.003467   0.422915   \n",
       "...         ...  ...     ...       ...        ...       ...        ...   \n",
       "45072  0.915623    3     0.0  0.078300   0.403303  0.005353   0.415847   \n",
       "45120  0.915667    4     0.0  0.076018   0.397650  0.005206   0.401864   \n",
       "45168  0.915712    5     0.0  0.075087   0.392740  0.005164   0.403418   \n",
       "45216  0.915756    6     0.0  0.068062   0.403898  0.004728   0.396686   \n",
       "45264  0.915800    7     0.0  0.071274   0.391550  0.005041   0.387623   \n",
       "\n",
       "       transfer  class  \n",
       "0      0.414912      1  \n",
       "48     0.414912      1  \n",
       "96     0.414912      1  \n",
       "144    0.414912      1  \n",
       "192    0.414912      0  \n",
       "...         ...    ...  \n",
       "45072  0.423246      1  \n",
       "45120  0.408772      1  \n",
       "45168  0.376316      1  \n",
       "45216  0.371930      0  \n",
       "45264  0.215351      0  \n",
       "\n",
       "[933 rows x 9 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_clean = cleaned_df.drop_duplicates('date', keep='first')\n",
    "extra_clean\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        3.14200e-03,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  8.80500e-03,\n",
       "        4.42500e-03,  4.42400e-03,  4.42500e-03,  4.42400e-03,\n",
       "        4.42500e-03,  4.42500e-03, -3.49990e-02,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  3.09700e-03,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  3.14200e-03,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.50000e-05,  4.40000e-05,  8.80000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  3.92461e-01,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  3.09700e-03,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  3.23000e-03,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  3.09800e-03,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  3.14100e-03,\n",
       "        4.40000e-05,  1.33000e-04,  4.42500e-03,  4.42400e-03,\n",
       "        4.42500e-03,  4.42400e-03, -1.74770e-02,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        8.32700e-02,  4.42500e-03,  4.42400e-03,  4.42500e-03,\n",
       "        4.42500e-03,  4.42400e-03,  4.42500e-03, -1.09465e-01,\n",
       "        3.09800e-03,  4.40000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        8.90000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.40000e-05,  4.50000e-05,\n",
       "        4.40000e-05,  3.14100e-03,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  8.90000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  3.09700e-03,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  8.80000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  9.64110e-02,\n",
       "        4.42500e-03, -1.14995e-01,  1.75660e-02,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  3.14100e-03,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.50000e-05,  4.40000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  3.09800e-03,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        3.14100e-03,  4.40000e-05,  4.50000e-05,  4.40000e-05,\n",
       "        4.40000e-05])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_clean['date'].diff().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62.26575342465753"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "human_df = cleaned_df.copy()\n",
    "\n",
    "human_df['period'] = round_to(cleaned_df['period']*24)\n",
    "# print(delta.days/human_df['date'].max())\n",
    "# print(human_df['date'].max())\n",
    "\n",
    "\n",
    "days = round(1/(human_df['date'][49] - human_df['date'][0]))\n",
    "days/365\n",
    "\n",
    "\n",
    "# temp = delta.days + 1\n",
    "\n",
    "# import numpy as np\n",
    "\n",
    "# arr = np.arange(0, delta.days + 1)/temp\n",
    "# print(arr)\n",
    "\n",
    "# human_df['date'] = human_df['date']*temp\n",
    "# human_df\n",
    "# print(human_df['date'][20000])\n",
    "# print(human_df['date'][48:60])\n",
    "# print(human_df['date'][49])\n",
    "# print(1/22727)\n",
    "\n",
    "\n",
    "# print(human_df['date'].tail())\n",
    "# human_df['date'].hist()\n",
    "# human_df['date'].plot()\n",
    "\n",
    "# print(df['day'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "human_df['date'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import pandas as pd\n",
    "\n",
    "\n",
    "# Assuming df is your DataFrame and 'date_column' is the name of the date column\n",
    "# df = pd.read_csv('your_data_file.csv')  # Replace with your data file path\n",
    "\n",
    "# Convert 'date_column' to datetime if it's not already in that format\n",
    "# if not isinstance(df['date_column'], pd.DatetimeTZDtype):\n",
    "    # df['date_column'] = pd.to_datetime(df['date_column'])\n",
    "\n",
    "# Set the date column as the index for easier plotting\n",
    "# df.set_index('date_column', inplace=True)\n",
    "\n",
    "# Plotting the dataframe with respect to the date\n",
    "fig = plt.figure(figsize=(15, 15))\n",
    "ax = plt.gca()\n",
    "\n",
    "human_df.plot(x='date',ax=ax)\n",
    "plt.title('Data Visualization Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Values')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}