This command, .apply(pd.Series), is used to transform each element of a DataFrame or Series into a new DataFrame where each element is expanded into its constituent components in new columns. When .apply(pd.Series) is used, each input element is expected to be a list-like or dictionary object that pandas can expand into multiple columns in a new DataFrame.

It’s commonly used when you have a Series or a single column of a DataFrame where each entry itself can be expanded into multiple data points. For example, if a column contains lists or dictionaries, you can use .apply(pd.Series) to convert each list or dictionary into separate columns in the DataFrame.

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Using .apply(pd.Series) to expand the lists into separate columns. Code:

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Split a list into multiple columns with "pd.Series": code:
         
Output: