Pandas Masterclass Aula 8: Transformação de Dados – pivot_table, melt, stack e unstack! 🔄📊

🎯 Learn how to transform data between "long" and "wide" formats like a true data manipulation expert! In Lesson 8 of the Pandas Masterclass, you will master the essential tools for reshaping DataFrames, creating comparative reports with pivot_table, undoing aggregations with melt, and working with hierarchical indexes using stack and unstack. These techniques are indispensable for preparing data for visualizations, machine learning models, and advanced analytics. 🔧 What you will see in this lesson: ✅ pivot_table – Pivot table in Pandas: Transforming long data into wide data Defining values, index, columns, and aggregation function ✅ melt – Melting the DataFrame: Converting wide data back to long format Useful for preparing data for charts and models ✅ stack and unstack – Hierarchical level: unstack: moves levels from the index to the columns stack: moves levels from the columns to the index 👨‍💻 Who is this lesson for? Analysts who need to create pivot tables and reports Data scientists who want to prepare data in long format Students who want to understand advanced DataFrame reshaping 📁 Resources for this lesson: 🔗 Full source code: https://github.com/GTL98/canal_mundo_... 🎞️ Pandas Course Playlist:    • Pandas Masterclass: Do Zero ao Herói dos D...   🔗 My networks: https://allmylinks.com/mundopython98 🔔 Subscribe and activate notifications Bell so you don't miss the next lessons! 💬 Comment below: Do you usually use long or wide format in your projects? #Pandas #Python #DataScience #DataWrangling #PivotTable 👉 Challenge: Create a table with pivot_table using aggfunc=['sum', 'mean'] and then transform it back with melt! Master the art of transforming data between different formats and accelerate your analysis with Pandas! Chapters 00:00 Introduction 00:57 Initial settings 01:16 Preparing the Dataset 03:19 pivot_table: Making the Data "Wide" 07:23 melt: Making the Data "Long" 10:16 Thank you to our 600 subscribers!!! 11:42 Stack and Unstack: The Hierarchical Level 15:39 Summary Table of the Lesson 17:48 Final Considerations 18:30 Recommendations