Explain how to use the 'explode' function in Pandas.

Instruction: Provide an example illustrating the use of the 'explode' function to transform lists within DataFrame cells into separate rows.

Context: Candidates should demonstrate their ability to manipulate and transform nested data within DataFrames, which is crucial for flattening complex data structures.

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To clarify, the 'explode' function is used when we have a DataFrame where one or several columns have lists as their elements, and we want each item of the list to become a separate row, replicating the values of the other columns in the DataFrame. It essentially "explodes" lists into separate rows, making nested data more accessible and easier to work with.

Let's consider an example to illustrate this. Assume we have a DataFrame that records information about movies and the genres they belong to. The 'Genres' column contains lists of genres associated with each movie. Our...

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