I’ve got a list of integers and I want to be able to identify contiguous blocks of duplicates: that is, I want to produce an order-preserving list of duples where each duples contains (int_in_question, number of occurrences).
How can I build a numpy array out of a generator object?
Do you know if there is a way to get python’s random.sample to work with a generator object. I am trying to get a random sample from a very large text corpus. The problem is that random.sample() raises the following error.
If I want the number of items in an iterable without caring about the elements themselves, what would be the pythonic way to get that? Right now, I would define
Can I reset an iterator / generator in Python? I am using DictReader and would like to reset it to the beginning of the file.
Perhaps I’ve fallen victim to misinformation on the web, but I think it’s more likely just that I’ve misunderstood something. Based on what I’ve learned so far, range() is a generator, and generators can be used as iterators. However, this code:
I can’t figure out how to look ahead one element in a Python generator. As soon as I look it’s gone.
The following behaviour seems rather counterintuitive to me (Python 3.4):