Comments (2)
I like them both. For the first one though you can do:
s=pl.Series("a",['apple','banana', 'apple','carrot','date','eggplant'],dtype=pl.Categorical)
s=s.filter(s!='carrot')
{x[1]:x[0] for x in s.cat.get_categories().to_frame().with_row_index('i').iter_rows()}
{'apple': 0, 'banana': 1, 'carrot': 2, 'date': 3, 'eggplant': 4}
works even though carrot isn't in s anymore.
Actually you don't even need to go through a frame, you can alternatively do
{val:i for i, val in enumerate(s.cat.get_categories())}
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The indices of the cat.get_categories()
are equal to the physicals. I'm not convinced that we really need a new method for this as the method by @deanm0000 will provide you the mapping
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