{"version":"1.0","provider_name":"Blog - Silicon Cloud","provider_url":"https:\/\/www.silicloud.com\/blog","author_name":"Sophia Anderson","author_url":"https:\/\/www.silicloud.com\/blog\/author\/sophiaanderson\/","title":"How is the 'groupby' function used in Pandas?","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"hRt9oAZZ0P\"><a href=\"https:\/\/www.silicloud.com\/blog\/how-is-the-groupby-function-used-in-pandas\/\">How is the &#8216;groupby&#8217; function used in Pandas?<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.silicloud.com\/blog\/how-is-the-groupby-function-used-in-pandas\/embed\/#?secret=hRt9oAZZ0P\" width=\"600\" height=\"338\" title=\"&#8220;How is the &#8216;groupby&#8217; function used in Pandas?&#8221; &#8212; Blog - Silicon Cloud\" data-secret=\"hRt9oAZZ0P\" 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:\/\/www.silicloud.com\/blog\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"In Pandas, the groupby() function is used to group data. It allows for data to be grouped based on specified columns, and then operations can be applied to each group, such as calculating statistics, aggregating, or transforming. The basic usage of groupby() is: df.groupby(by=None, axis=0, level=None, as_index=True, sort=True, group_keys=True, squeeze=False, observed=False, dropna=True) Parameter Explanation: Specify [&hellip;]"}