Pandas/nsmallest-and-nlargest.ipynb

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   "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",
    "# \n",
    "\n",
    "Post Link: [Substack]()\n",
    "\n",
    "LinkedIn Post: [LinkedIn]()"
   ]
  },
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     "start_time": "2022-12-15T10:44:22.254172Z"
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   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
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   "id": "fab75615",
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     "start_time": "2022-12-15T10:46:40.128288Z"
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   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame([[\"Peter\", 95], \n",
    "                   [\"Jane\", 100],\n",
    "                   [\"Mark\", 97], \n",
    "                   [\"David\", 95]],\n",
    "                   columns = [\"Name\", \"Marks\"])"
   ]
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       "    Name  Marks\n",
       "0  Peter     95\n",
       "1   Jane    100\n",
       "2   Mark     97\n",
       "3  David     95"
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    "df"
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       "    Name  Marks\n",
       "1   Jane    100\n",
       "2   Mark     97\n",
       "0  Peter     95"
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   "source": [
    "df.sort_values(\"Marks\", ascending=False).head(3)"
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       "    Name  Marks\n",
       "1   Jane    100\n",
       "2   Mark     97\n",
       "0  Peter     95\n",
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     "execution_count": 20,
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   "source": [
    "df.nlargest(n=3, \n",
    "            columns=\"Marks\", \n",
    "            keep=\"all\")"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "id": "f6676e87",
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