{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f1039720-9692-4605-adf9-d37651958e4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from pandas import DataFrame, Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "8d39819f-2cac-437f-b5fc-633ca7443f8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "rs = DataFrame({0: range(10, 101, 10), 1: range(10, 20), 2: range(20, 40, 2)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "eb69c292-79e3-4105-b10c-6f4f5c22074f",
   "metadata": {},
   "outputs": [],
   "source": [
    "rs.set_index(2, drop=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "d7976bb8-05cb-4924-a6e2-90ea8af85d9d",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>40</td>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>50</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>60</td>\n",
       "      <td>15</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>70</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>80</td>\n",
       "      <td>17</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>90</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>100</td>\n",
       "      <td>19</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      0   1   2\n",
       "2              \n",
       "20   10  10  20\n",
       "22   20  11  22\n",
       "24   30  12  24\n",
       "26   40  13  26\n",
       "28   50  14  28\n",
       "30   60  15  30\n",
       "32   70  16  32\n",
       "34   80  17  34\n",
       "36   90  18  36\n",
       "38  100  19  38"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "3c456100-4931-4fbd-a63d-531eaf735e70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs.index.get_loc(rs[rs.index <= 31].index[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "1a5a99bb-3fc4-458d-95b8-4e031f3e04c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([20, 22, 24, 26, 28, 30, 32, 34, 36, 38], dtype='int64', name=2)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "2d53ccef-72e1-4378-818f-b60682bbd8b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "g = rs[rs.index <= 31].iloc[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "7318351e-e185-4695-ada5-43596b4844e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(20)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs.index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "55441116-8c00-4fd1-94c8-939320c6dfc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[25, 26, 27, 28, 29]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = list(range(30))\n",
    "t[25:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "6ef28e4c-15a5-4fe5-aa66-10ba464f1256",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[6, 7, 8, 9]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[6: 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "f15cf18c-54cb-4624-8d18-3998bde2b9ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "p = 0 or None\n",
    "print(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47dd4064-dde6-4824-a12b-ecf334bf4ebe",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}