Reshaping Data in Pandas: A Guide to Wide and Long Formats

Reshaping in pandas refers to the process of converting a data frame into a different shape, typically from a wide format to a long format or vice versa. This can be done using various methods such as `pd.melt()`, `pd.pivot_table()`, or `pd.wide_to_long()`. The goal of reshaping is to transform the data into a more useful format for analysis or visualization.

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