WebSep 12, 2024 · Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. WebDec 7, 2016 · In [5]: %timeit len(df.values) 100000 loops, best of 3: 3.55 µs per loop So the bottleneck is not len but how df.values is constructed. If you examine pandas.DataFrame.values(), you'll find the (roughly equivalent) methods:
fastai/data.py at master · fastai/fastai · GitHub
WebNov 18, 2024 · The only one that really pops to mind is if you need to remove elements from x over the course of the for loop (in which case, as pointed out in the comments, you should go backwards), or you want to do a number of loops equal to len (x) for some reason unconnected to operations on x. WebThe Internals of Operations Like len () and [] Every class in Python defines its own behavior for built-in functions and methods. When you pass an instance of some class to a built-in … daish 3 lvl 46
datasketch/minhash.py at master · ekzhu/datasketch · GitHub
WebMay 24, 2016 · I'd say the more pythonic alternative is probably the one which matches your needs more closely: a.shape may contain more information than len (a) since it contains the size along all axes whereas len only returns the size along the first axis: >>> a = np.array ( [ [1,2,3,4], [1,2,3,4]]) >>> len (a) 2 >>> a.shape (2L, 4L) If you actually happen ... Webdef __iter__ (self) -> Iterator [date]: for i in range (len (self)): yield self [i] Or alternatively, something like this (assuming you fixed your constructor so self._total_dates is a list, not a generator): def __iter__ (self) -> Iterator [date]: return iter (self._total_dates) WebFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - pandas/array.py at main · pandas-dev/pandas daisha chaise lounge with cushion