{"version":"1.0","provider_name":"DataFlair","provider_url":"https:\/\/data-flair.training\/blogs","title":"How to Use SQL in Pandas - DataFlair","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"7DFRMOeKXN\"><a href=\"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/\">How to Use SQL in Pandas<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/embed\/#?secret=7DFRMOeKXN\" width=\"600\" height=\"338\" title=\"&#8220;How to Use SQL in Pandas&#8221; &#8212; DataFlair\" data-secret=\"7DFRMOeKXN\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/data-flair.training\/blogs\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Program 1 Pandas Dataset import pandas as pd emp=pd.read_excel(\"D:\/\/mypandas\/employee.xlsx\") #print(emp.nlargest(5,columns='totalsalary')) #print(emp.nlargest(5,columns='totalsalary').tail(4)) #Insert # Update # emp.loc[emp['totalsalary']==10000]=15000 # emp.loc[emp['totalsalary']==15000,'totalsalary']=25000 # print(emp) #Delete #emp=emp.drop(emp[emp.totalsalary==10000].index) print(emp) #print(emp.head(6)) #print(emp.tail(6)) #select * from employee where salary&gt;10000; #print(emp.columns) #select *&#46;&#46;&#46;"}