<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>GroupBy on 每日拍拍</title>
    <link>https://dailypypy.org/tags/groupby/</link>
    <description>Recent content in GroupBy on 每日拍拍</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>zh-tw</language>
    <copyright>© 2026 每日拍拍</copyright>
    <lastBuildDate>Tue, 01 Sep 2026 11:53:00 +0800</lastBuildDate><atom:link href="https://dailypypy.org/tags/groupby/index.xml" rel="self" type="application/rss+xml" />
    <follow_challenge>
      <feedId>155076163427069952</feedId>
      <userId>154825760438254592</userId>
    </follow_challenge>
    
    
    <item>
      <title>Pandas GroupBy 實戰：聚合、Pivot Table 與報表整理</title>
      <link>https://dailypypy.org/learn/pandas-groupby-pivot-report/</link>
      <pubDate>Tue, 01 Sep 2026 11:53:00 +0800</pubDate>
      
      <guid>https://dailypypy.org/learn/pandas-groupby-pivot-report/</guid>
      <description>&lt;!---
1440x768
prompt: masterpiece, best quality, highres, clean anime illustration, japanese anime style, soft shading, flat color design, 1girl, black hair, green eyes, white off-shoulder shirt, black short skirt, side profile, wide shot, full body, walking between three soft translucent blank report panels, hands behind back, pleased analytical smile, looking over shoulder at viewer, pastel seafoam green background, subtle floating blank table cells and rounded chart blocks without symbols or text, neat composition, detailed eyes, cute and smart vibe, minimal background, polished illustration, no text
negative prompt: worst quality, bad eye, bad hand, extra limbs, manga, multiple views, monochrome, text, signature
---&gt;

&lt;h2 class=&#34;relative group&#34;&gt;一. 前言：資料很多，不代表報表就有答案 
    &lt;div id=&#34;一-前言資料很多不代表報表就有答案&#34; class=&#34;anchor&#34;&gt;&lt;/div&gt;
    
    &lt;span
        class=&#34;absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100&#34;&gt;
        &lt;a class=&#34;group-hover:text-primary-300 dark:group-hover:text-neutral-700&#34;
            style=&#34;text-decoration-line: none !important;&#34; href=&#34;#%e4%b8%80-%e5%89%8d%e8%a8%80%e8%b3%87%e6%96%99%e5%be%88%e5%a4%9a%e4%b8%8d%e4%bb%a3%e8%a1%a8%e5%a0%b1%e8%a1%a8%e5%b0%b1%e6%9c%89%e7%ad%94%e6%a1%88&#34; aria-label=&#34;定位點&#34;&gt;#&lt;/a&gt;
    &lt;/span&gt;        
    
&lt;/h2&gt;
&lt;p&gt;拍拍君每次拿到銷售明細，最常看到的問題不是「怎麼讀 CSV」，
而是讀完之後，大家開始手動複製、貼上、加總，再做一張新的 Excel。&lt;/p&gt;</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://dailypypy.org/learn/pandas-groupby-pivot-report/featured.png" />
    </item>
    
  </channel>
</rss>
