What is the difference between itertools.groupby and pandas.groupby?
The main difference is that itertools.groupby is a general-purpose grouping tool for iterators, while pandas.groupby is specifically designed for data manipulation in DataFrames.
Can you give me an example of how to use both?
Sure! For itertools.groupby, you can group a list of tuples by the first element. For pandas, you can group a DataFrame by a column and perform aggregations.
Which one is more efficient for large datasets?
Pandas is generally more efficient for large datasets due to its optimized data structures and built-in functions for aggregation.
Are there any limitations to using itertools.groupby?
Yes, itertools.groupby requires the input to be sorted by the key function, which can be a limitation compared to pandas.
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