Python Data Types.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "33c01e3a",
   "metadata": {},
   "source": [
    "# Numeric Data Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "61ed0511",
   "metadata": {},
   "outputs": [],
   "source": [
    "# NUmeric Data Type\n",
    "\n",
    "x=10 #int\n",
    "y=10.5 #float\n",
    "z=10+5j #10 is real number and 5j is imaginary //complex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e945b736",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "912467df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "float"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2c2440ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "complex"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cf8c4dc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(z,complex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cbdacfde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(x,complex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cf4faa46",
   "metadata": {},
   "outputs": [],
   "source": [
    "#int to float  convert\n",
    "\n",
    "n =float(x) #n=float\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "329e017d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ec1314fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "n = int(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "34cb2cee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "92ca3e53",
   "metadata": {},
   "outputs": [],
   "source": [
    "n= complex(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e66dd127",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10+0j)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4e0b03be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter the Complex Number:150\n"
     ]
    }
   ],
   "source": [
    "n= complex(input (\"Enter the Complex Number:\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e61e52c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Complex is:  (150+0j)\n"
     ]
    }
   ],
   "source": [
    "print('Complex is: ',n)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34ce4dea",
   "metadata": {},
   "source": [
    "# Boolean Data Types: True or False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "442cff16",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Boolean Data Types\n",
    "x= True\n",
    "y=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "dfa65f89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a6da488a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10cb7ec7",
   "metadata": {},
   "source": [
    "# Sequence Data Tupe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "7b741472",
   "metadata": {},
   "outputs": [],
   "source": [
    "#List\n",
    "l =[1,2,3,4,True,{1,2}, 'data',(1,2,3,8)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0a2747b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, True, {1, 2}, 'data', (1, 2, 3, 8)]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "206a0601",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "4168b709",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 3, 8)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "0ddb69e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l[-1][-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "69ff50fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(l) #check data type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "4307656e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(l, list) #check data type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "1508db64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Tupe()\n",
    "\n",
    "t=(1,5,8,9,'AI')\n",
    "type(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "de4b5206",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 5, 8, 9)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0:4] #0:4 means 0 to 4 all index show."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "79d32049",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "0b2e79a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Range()\n",
    "\n",
    "x =range(10) #first case"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "2bb761ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 10)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "cad901e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "for i in x:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "32782c0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n",
      "10\n",
      "11\n",
      "12\n",
      "13\n",
      "14\n",
      "15\n",
      "16\n",
      "17\n",
      "18\n",
      "19\n"
     ]
    }
   ],
   "source": [
    "x = range(5, 20) #Second case\n",
    "\n",
    "for i in x:\n",
    "    print (i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "815580a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "8\n",
      "11\n",
      "14\n",
      "17\n"
     ]
    }
   ],
   "source": [
    "x=range(5,20,3) #3rd case\n",
    "\n",
    "for i in x:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "3d20aac4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20\n",
      "17\n",
      "14\n",
      "11\n",
      "8\n"
     ]
    }
   ],
   "source": [
    "x =range(20, 5,-3) #4th case\n",
    "for i in x:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "7638cd22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array('i', [1, 2, 3, 4])"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Array # say type code 'i'\n",
    "\n",
    "import array as ar\n",
    "a = ar.array('i',[1,2,3,4])\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "8328a12d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array.array"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "ff397ed5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import array as ar\n",
    "a = ar.array('f',[1.5,2,3.1,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "17313495",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array('f', [1.5, 2.0, 3.0999999046325684, 4.0])"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "3f55c60b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#string\n",
    "\n",
    "x= 'Data'\n",
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "525c6491",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Data'"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "e584d38b",
   "metadata": {},
   "outputs": [],
   "source": [
    "x='I love' ' Machine learing'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "8585c462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'I love Machine learing'"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "e72ca456",
   "metadata": {},
   "outputs": [],
   "source": [
    "x='''I love\n",
    "Machine Learning\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "78be637d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'I love\\nMachine Learning\\n'"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "21fbe55e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "33ccf2c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Set type\n",
    "\n",
    "s={1,2,3,5}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "685e8986",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1, 2, 3, 5}"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "eb8487c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "5415718e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Mapping type\n",
    "#Dictonary\n",
    "\n",
    "\n",
    "dic={\n",
    "    'Versity': 'Green University','Dept': 'Computer Science'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "64b5768f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Versity': 'Green University', 'Dept': 'Computer Science'}"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "d454bb8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "4673bac1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['Versity', 'Dept'])"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic.keys() #Keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "36c16317",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['Green University', 'Computer Science'])"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic.values() #Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "a00cba2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Data  Frame(Pandas)\n",
    "#from pandas import read_csv\n",
    "\n",
    "import pandas as pd\n",
    "df=pd.read_csv('colors.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "e3dc1dda",
   "metadata": {},
   "outputs": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>air_force_blue_raf</th>\n",
       "      <th>Air Force Blue (Raf)</th>\n",
       "      <th>#5d8aa8</th>\n",
       "      <th>93</th>\n",
       "      <th>138</th>\n",
       "      <th>168</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>air_force_blue_usaf</td>\n",
       "      <td>Air Force Blue (Usaf)</td>\n",
       "      <td>#00308f</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>air_superiority_blue</td>\n",
       "      <td>Air Superiority Blue</td>\n",
       "      <td>#72a0c1</td>\n",
       "      <td>114</td>\n",
       "      <td>160</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alabama_crimson</td>\n",
       "      <td>Alabama Crimson</td>\n",
       "      <td>#a32638</td>\n",
       "      <td>163</td>\n",
       "      <td>38</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alice_blue</td>\n",
       "      <td>Alice Blue</td>\n",
       "      <td>#f0f8ff</td>\n",
       "      <td>240</td>\n",
       "      <td>248</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alizarin_crimson</td>\n",
       "      <td>Alizarin Crimson</td>\n",
       "      <td>#e32636</td>\n",
       "      <td>227</td>\n",
       "      <td>38</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     air_force_blue_raf   Air Force Blue (Raf)  #5d8aa8   93  138  168\n",
       "0   air_force_blue_usaf  Air Force Blue (Usaf)  #00308f    0   48  143\n",
       "1  air_superiority_blue   Air Superiority Blue  #72a0c1  114  160  193\n",
       "2       alabama_crimson        Alabama Crimson  #a32638  163   38   56\n",
       "3            alice_blue             Alice Blue  #f0f8ff  240  248  255\n",
       "4      alizarin_crimson       Alizarin Crimson  #e32636  227   38   54"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "2e1a97e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(864, 6)"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape #Here 864 is row and 6 column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "35f4c219",
   "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>air_force_blue_raf</th>\n",
       "      <th>Air Force Blue (Raf)</th>\n",
       "      <th>#5d8aa8</th>\n",
       "      <th>93</th>\n",
       "      <th>138</th>\n",
       "      <th>168</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>air_force_blue_usaf</td>\n",
       "      <td>Air Force Blue (Usaf)</td>\n",
       "      <td>#00308f</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>air_superiority_blue</td>\n",
       "      <td>Air Superiority Blue</td>\n",
       "      <td>#72a0c1</td>\n",
       "      <td>114</td>\n",
       "      <td>160</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alabama_crimson</td>\n",
       "      <td>Alabama Crimson</td>\n",
       "      <td>#a32638</td>\n",
       "      <td>163</td>\n",
       "      <td>38</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alice_blue</td>\n",
       "      <td>Alice Blue</td>\n",
       "      <td>#f0f8ff</td>\n",
       "      <td>240</td>\n",
       "      <td>248</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alizarin_crimson</td>\n",
       "      <td>Alizarin Crimson</td>\n",
       "      <td>#e32636</td>\n",
       "      <td>227</td>\n",
       "      <td>38</td>\n",
       "      <td>54</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>yellow_orange</td>\n",
       "      <td>Yellow Orange</td>\n",
       "      <td>#ffae42</td>\n",
       "      <td>255</td>\n",
       "      <td>174</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>yellow_process</td>\n",
       "      <td>Yellow (Process)</td>\n",
       "      <td>#ffef00</td>\n",
       "      <td>255</td>\n",
       "      <td>239</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>yellow_ryb</td>\n",
       "      <td>Yellow (Ryb)</td>\n",
       "      <td>#fefe33</td>\n",
       "      <td>254</td>\n",
       "      <td>254</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>zaffre</td>\n",
       "      <td>Zaffre</td>\n",
       "      <td>#0014a8</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>zinnwaldite_brown</td>\n",
       "      <td>Zinnwaldite Brown</td>\n",
       "      <td>#2c1608</td>\n",
       "      <td>44</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>864 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       air_force_blue_raf   Air Force Blue (Raf)  #5d8aa8   93  138  168\n",
       "0     air_force_blue_usaf  Air Force Blue (Usaf)  #00308f    0   48  143\n",
       "1    air_superiority_blue   Air Superiority Blue  #72a0c1  114  160  193\n",
       "2         alabama_crimson        Alabama Crimson  #a32638  163   38   56\n",
       "3              alice_blue             Alice Blue  #f0f8ff  240  248  255\n",
       "4        alizarin_crimson       Alizarin Crimson  #e32636  227   38   54\n",
       "..                    ...                    ...      ...  ...  ...  ...\n",
       "859         yellow_orange          Yellow Orange  #ffae42  255  174   66\n",
       "860        yellow_process       Yellow (Process)  #ffef00  255  239    0\n",
       "861            yellow_ryb           Yellow (Ryb)  #fefe33  254  254   51\n",
       "862                zaffre                 Zaffre  #0014a8    0   20  168\n",
       "863     zinnwaldite_brown      Zinnwaldite Brown  #2c1608   44   22    8\n",
       "\n",
       "[864 rows x 6 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(864)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "e5b0274e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 864 entries, 0 to 863\n",
      "Data columns (total 6 columns):\n",
      " #   Column                Non-Null Count  Dtype \n",
      "---  ------                --------------  ----- \n",
      " 0   air_force_blue_raf    864 non-null    object\n",
      " 1   Air Force Blue (Raf)  864 non-null    object\n",
      " 2   #5d8aa8               864 non-null    object\n",
      " 3   93                    864 non-null    int64 \n",
      " 4   138                   864 non-null    int64 \n",
      " 5   168                   864 non-null    int64 \n",
      "dtypes: int64(3), object(3)\n",
      "memory usage: 40.6+ KB\n"
     ]
    }
   ],
   "source": [
    " df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "8e1a2941",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Binary TYpes\n",
    "\n",
    "byte_arr=bytearray('ABCDEF','utf8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "ce61041b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bytearray"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(byte_arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "d496bda0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bytearray(b'ABCDEF')"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byte_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "b7fadaa6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<memory at 0x000001C1B01F5280>"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memoryview(byte_arr) #data type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "59c09afb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memoryview(byte_arr)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "bca80d30",
   "metadata": {},
   "outputs": [],
   "source": [
    "mv = memoryview(byte_arr)  #Replace Capital A to small a\n",
    "mv[0] =97"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "c66e8500",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "97"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memoryview(byte_arr)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "f045d7d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bytearray(b'aBCDEF')"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byte_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd755a44",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}