chapter_3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "27cc7532",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import datetime\n",
    "from datetime import datetime, date\n",
    "\n",
    "pd.set_option('display.notebook_repr_html', False)\n",
    "pd.set_option('display.max_columns', 8)\n",
    "pd.set_option('display.max_rows', 10)\n",
    "pd.set_option('display.width', 80)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e5daf8c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    10\n",
       "1    11\n",
       "2    12\n",
       "3    13\n",
       "4    14\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = pd.Series([10, 11, 12, 13, 14])\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4d1dc45d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "babe6a68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Mike\n",
       "1    Marcia\n",
       "2    Mikael\n",
       "3      Bleu\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(['Mike', 'Marcia', 'Mikael', 'Bleu'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "19af7af4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2\n",
       "1    2\n",
       "2    2\n",
       "3    2\n",
       "4    2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series([2]*5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b05448d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    a\n",
       "1    b\n",
       "2    c\n",
       "3    d\n",
       "4    e\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(list('abcde'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bd042ba3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mike                   Dad\n",
       "Marcia                 Mom\n",
       "Mikael                 Son\n",
       "Bleu      Best doggie ever\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series({'Mike': 'Dad',\n",
    "          'Marcia': 'Mom',\n",
    "          'Mikael': 'Son',\n",
    "          'Bleu': 'Best doggie ever'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ac0b37f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4\n",
       "1    5\n",
       "2    6\n",
       "3    7\n",
       "4    8\n",
       "dtype: int32"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(np.arange(4,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6d9d525e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.00\n",
       "1    2.25\n",
       "2    4.50\n",
       "3    6.75\n",
       "4    9.00\n",
       "dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(np.linspace(0, 9, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2aeb964b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   -0.204708\n",
       "1    0.478943\n",
       "2   -0.519439\n",
       "3   -0.555730\n",
       "4    1.965781\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(12345)\n",
    "pd.Series(np.random.normal(size=5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "89d79e79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fd4044e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "1    2\n",
       "2    4\n",
       "3    6\n",
       "4    8\n",
       "dtype: int32"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = pd.Series(np.arange(0, 5))\n",
    "s*2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "559b6484",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3], dtype=int64)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = pd.Series([1, 2, 3])\n",
    "s.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e0ed1779",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=3, step=1)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "51b498e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "da8f2c3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "abb2c9d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3,)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8275ce1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dad      Mike\n",
       "Mom    Marcia\n",
       "Son    Mikael\n",
       "Dog      Bleu\n",
       "dtype: object"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = ['Mike', 'Marcia', 'Mikael', 'Bleu']\n",
    "role = ['Dad', 'Mom', 'Son', 'Dog']\n",
    "s = pd.Series(labels, index=role)\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4b2f7ea0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Dad', 'Mom', 'Son', 'Dog'], dtype='object')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "75a31bc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mike'"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s['Dad']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0f7587b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "s = pd.Series(np.arange(1, 10),\n",
    " index=list('abcdefghi'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "20d6142f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    1\n",
       "b    2\n",
       "c    3\n",
       "d    4\n",
       "e    5\n",
       "dtype: int32"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "aab30fb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    1\n",
       "b    2\n",
       "c    3\n",
       "dtype: int32"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c4b3dbff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "e    5\n",
       "f    6\n",
       "g    7\n",
       "h    8\n",
       "i    9\n",
       "dtype: int32"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f0bda0b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "g    7\n",
       "h    8\n",
       "i    9\n",
       "dtype: int32"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "82aa74ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b    2\n",
       "f    6\n",
       "i    9\n",
       "dtype: int32"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.take([1,5,8])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "14cd5400",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    10\n",
       "b    11\n",
       "c    12\n",
       "d    13\n",
       "e    14\n",
       "dtype: int32"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1 = pd.Series(np.arange(10, 15), index=list('abcde'))\n",
    "s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "99e5f7d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1['a']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "dae5be6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "d    13\n",
       "b    11\n",
       "dtype: int32"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1[['d', 'b']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e3409efe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "d    13\n",
       "b    11\n",
       "dtype: int32"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1[[3,1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "146b2d96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10    1\n",
       "11    2\n",
       "12    3\n",
       "13    4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s2 = pd.Series([1, 2, 3, 4], index=[10, 11, 12, 13])\n",
    "s2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "92e0b5e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13    4\n",
       "10    1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s2[[13, 10]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "897fcaa0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    10\n",
       "c    12\n",
       "dtype: int32"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1.iloc[[0, 2]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "81dc9dbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13    4\n",
       "12    3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s2.iloc[[3,2]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "de027259",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    10\n",
       "d    13\n",
       "dtype: int32"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1.loc[['a', 'd']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "34fe0366",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10    100\n",
       "11    101\n",
       "12    102\n",
       "13    103\n",
       "14    104\n",
       "15    105\n",
       "16    106\n",
       "17    107\n",
       "18    108\n",
       "19    109\n",
       "dtype: int32"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = pd.Series(np.arange(100, 110), index=np.arange(10, 20))\n",
    "s\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "82aa698f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11    101\n",
       "12    102\n",
       "13    103\n",
       "14    104\n",
       "15    105\n",
       "dtype: int32"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s[1:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b0e245f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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