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It turns out that Python's groupby is very similar to how R's tapply behaves. The main differences are that Python's groupby:
Iterates with a key-value pair, similar to enumerate
Requires the iterable to be sorted by the key beforehand.
Difference 2 is especially important because otherwise, the iterator needs to be consumed before each group's data (i.e., factor) can be seen and processed.
While this is an interesting function,
dplyr
handles this case well. Also,groupby
may not translate easily to R because of the lack of dictionaries.The text was updated successfully, but these errors were encountered: