Pandas (2.3.1) A-Z | 03B

🚀 Course: Pandas (2.3.1) A-Z
🔁 Module 03: Transforming Data
🧠 Lecture B: Reshaping DataFrames

👇 Link to the notebook:
https://tinyurl.com/23krqh33

🚀 Pandas DataFrame reshaping in Python: learn how to go from wide to long and back using pd.melt, pivot, and pivot_table to prepare clean, tidy data for analysis, visualization, and machine learning. This lecture walks through identifier columns, hierarchical indexes, MultiIndex columns, stack and unstack, and managing duplicates and missing values during pivot operations. You will see practical sales and weather examples that show when to use long vs wide format, how to aggregate with pivot_table, and how to design grouped reshape workflows. Watch to master Pandas reshaping techniques and improve your real-world data wrangling skills.

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