Pandas/Append-Run-Time.ipynb

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   "cell_type": "markdown",
   "id": "7461b3a1",
   "metadata": {},
   "source": [
    "# Daily-Dose-of-Data-Science\n",
    "\n",
    "[Daily Dose of Data Science](https://avichawla.substack.com) is a publication on Substack that brings together intriguing frameworks, libraries, technologies, and tips that make the life cycle of a Data Science project effortless. \n",
    "\n",
    "Author: Avi Chawla\n",
    "\n",
    "[Medium](https://medium.com/@avi_chawla) | [LinkedIn](https://www.linkedin.com/in/avi-chawla/)\n",
    "\n",
    "# Why You Should Avoid Appending Rows To A DataFrame\n",
    "\n",
    "Post Link: [Substack](https://avichawla.substack.com/p/why-you-should-avoid-appending-rows)\n",
    "\n",
    "LinkedIn Post: [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7047162873323659264/)\n",
    "\n",
    "Twitter Post: [Twitter](https://twitter.com/_avichawla/status/1641399230773223426)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e07ffa9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from time import time\n",
    "import seaborn as sns\n",
    "from tqdm import tqdm\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a20f3122",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=040942cd-4d29-4cad-b515-8ad39589cb68 style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands?.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('040942cd-4d29-4cad-b515-8ad39589cb68').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Company_Name</th>\n",
       "      <th>Employee_Job_Title</th>\n",
       "      <th>Employee_City</th>\n",
       "      <th>Employee_Country</th>\n",
       "      <th>Employee_Salary</th>\n",
       "      <th>Employment_Status</th>\n",
       "      <th>Employee_Rating</th>\n",
       "      <th>Credits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Johnny Maynard</td>\n",
       "      <td>White, Mcclain and Cobb</td>\n",
       "      <td>Equities trader</td>\n",
       "      <td>New Cindychester</td>\n",
       "      <td>Mongolia</td>\n",
       "      <td>764340</td>\n",
       "      <td>Full Time</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Michael Williams</td>\n",
       "      <td>Scott Inc</td>\n",
       "      <td>Patent examiner</td>\n",
       "      <td>Ricardomouth</td>\n",
       "      <td>Guinea-Bissau</td>\n",
       "      <td>929230</td>\n",
       "      <td>Full Time</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Laura Flynn</td>\n",
       "      <td>Andrade LLC</td>\n",
       "      <td>Equities trader</td>\n",
       "      <td>North Melissafurt</td>\n",
       "      <td>Tonga</td>\n",
       "      <td>606900</td>\n",
       "      <td>Intern</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Stefanie Archer</td>\n",
       "      <td>James and Sons</td>\n",
       "      <td>Retail merchandiser</td>\n",
       "      <td>Ricardomouth</td>\n",
       "      <td>San Marino</td>\n",
       "      <td>775380</td>\n",
       "      <td>Full Time</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sierra Garcia</td>\n",
       "      <td>Matthews Inc</td>\n",
       "      <td>Armed forces logistics/support/administrative officer</td>\n",
       "      <td>Whitakerbury</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>944480</td>\n",
       "      <td>Full Time</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "               Name             Company_Name  \\\n",
       "0    Johnny Maynard  White, Mcclain and Cobb   \n",
       "1  Michael Williams                Scott Inc   \n",
       "2       Laura Flynn              Andrade LLC   \n",
       "3   Stefanie Archer           James and Sons   \n",
       "4     Sierra Garcia             Matthews Inc   \n",
       "\n",
       "                                  Employee_Job_Title      Employee_City  \\\n",
       "0                                    Equities trader   New Cindychester   \n",
       "1                                    Patent examiner       Ricardomouth   \n",
       "2                                    Equities trader  North Melissafurt   \n",
       "3                                Retail merchandiser       Ricardomouth   \n",
       "4  Armed forces logistics/support/administrative ...       Whitakerbury   \n",
       "\n",
       "  Employee_Country  Employee_Salary Employment_Status  Employee_Rating  \\\n",
       "0         Mongolia           764340         Full Time              3.3   \n",
       "1    Guinea-Bissau           929230         Full Time              4.6   \n",
       "2            Tonga           606900            Intern              0.3   \n",
       "3       San Marino           775380         Full Time              2.8   \n",
       "4            Nepal           944480         Full Time              4.5   \n",
       "\n",
       "   Credits  \n",
       "0        1  \n",
       "1        4  \n",
       "2        3  \n",
       "3        5  \n",
       "4        4  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"../_Datasets/employee_dataset.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f256cbe7",
   "metadata": {},
   "outputs": [],
   "source": [
    "row = list(df.iloc[999].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dfe0746a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████| 50000/50000 [01:43<00:00, 483.35it/s]\n"
     ]
    }
   ],
   "source": [
    "time_list = []\n",
    "for i in tqdm(range(50000)):\n",
    "    \n",
    "    start = time()\n",
    "    df.loc[df.shape[0]] = row\n",
    "    end = time()-start\n",
    "    time_list.append((df.shape[0],end))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f29ab935",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "time_list1 = time_df.iloc[10::101, :].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "feb6a194",
   "metadata": {},
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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_vals, y_vals = time_list1[:, 0], 1000*time_list1[:, 1]\n",
    "    \n",
    "# Create the scatter plot\n",
    "plt.subplots(figsize = (15, 9))\n",
    "plt.plot(x_vals, y_vals, lw = 2)\n",
    "plt.ylim(0, 51000)\n",
    "plt.ylim(1000*0.0007, 1000*0.0045)\n",
    "plt.xlabel(\"Total Rows\", fontweight =\"bold\", fontsize = 20)\n",
    "plt.ylabel(\"Append Time (in ms)\", fontweight =\"bold\", fontsize = 20)\n",
    "plt.title(\"DataFrame Size vs Row Append Time\", fontweight =\"bold\", fontsize = 25)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}