4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing pandas module "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "# keyword module_name as alias"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Creating Data Frame from Dictionary \n",
    "- This is easy any eficient way to create data frame "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "users ={\n",
    "    'Name':['Tejas', 'Vignesh', 'Yashraj'],\n",
    "    'Fav-subjects':[('Data-scince','python','linux'),('WebDevlopment','hacking','machine-learinng'),\n",
    "                    ('Digital Electronics','drone-manufacturing','wireless communication')],\n",
    "    'Age':[19,19,19]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Dict of users {'Name': ['Tejas', 'Vignesh', 'Yashraj'], 'Fav-subjects': [('Data-scince', 'python', 'linux'), ('WebDevlopment', 'hacking', 'machine-learinng'), ('Digital Electronics', 'drone-manufacturing', 'wireless communication')], 'Age': [19, 19, 19]} \""
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f\"Dict of users {users} \""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Syntax\n",
    "- *dataframeobject = pd.DataFrame(dict_name)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(users)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Fav-subjects</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tejas</td>\n",
       "      <td>(Data-scince, python, linux)</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Vignesh</td>\n",
       "      <td>(WebDevlopment, hacking, machine-learinng)</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yashraj</td>\n",
       "      <td>(Digital Electronics, drone-manufacturing, wir...</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Name                                       Fav-subjects  Age\n",
       "0    Tejas                       (Data-scince, python, linux)   19\n",
       "1  Vignesh         (WebDevlopment, hacking, machine-learinng)   19\n",
       "2  Yashraj  (Digital Electronics, drone-manufacturing, wir...   19"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  }
 ],
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   "display_name": "Python 3.8.6 64-bit",
   "language": "python",
   "name": "python38664bit4822670b26e8438dbb2f63c7f38ab160"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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}