12/11/2023 0 Comments Np random permutation![]() On NumPy with np.argsort - In : timeit.timeit( 'np.random.rand(138).argsort()', setup='import numpy as np', number=1000000) On NumPy with np.argpartition - In : timeit.timeit( 'np.random.rand(138).argpartition(range(4))', setup='import numpy as np', number=1000000) Let's time these two versions for performance comparison against the MATLAB version. Or with np.argsort like so - np.random.rand(138).argsort() NumPy's np.random.choice(138,4, replace=False) with np.argpartition as : np.random.rand(138).argpartition(range(4)) (string vs lambda doesn't make a noticeable difference)īased on this solution that showed how one can simulate np.random.choice(., replace=False)'s behavior with a trick based on argsort/ argpartition, you can recreate MATLAB's randperm(138,4), i.e. That's about 22 times faster than the original: > timeit.timeit('permutation(138)', setup='from numpy.random import permutation', number=1000000) Update 2: Since NumPy's random function appears to be much faster, I tried this and it's another factor ~1.33 faster: > def four(): Update 1: At first I used random.randrange, but np.random.randint made the whole thing about twice as fast. Return (a, b, c, d) if a != b and a != c and a != d and b != c and b != d and c != d else four() How long does this take for you? I estimate 1-2 seconds. How to return html of a page using robobrowser.Now to convert this strings to date time object in Python or django?.Django: alternative to using annotate(Count()) for speed.How to open a generated PDF file in browser?.Duplicate key issue when loading back.json file PostgreSQL.Logged in users still see login page (django auth).Django Rest Framework add page number attribute using the PageNumberPagination class.must be of the form 'app_label.ModelName'." % model ValueError: Invalid model reference.Django Raises Improperl圜onfigured When Trying to Create A Menu by django-admin-tools.Split a dataframe into all possible combinations of dataframes by 3 columns in R.beautifulsoup how to purposely add return none if element not found.Filtering a pyspark DataFrame where rows are within a range of another DataFrame.Assigning values to a column based on values of a second (shorter) column from a different dataframe.pandas.DataFrame: Filter rows of df A based on data in df B?. How to transform a timestamp in a data frame.Is there an easy way to run DataFrames::by in parallel?. ![]()
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