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Aug 8 2010 nbsp 0183 32 I have a set of data and I want to compare which line describes it best polynomials of different orders exponential or logarithmic I use Python and Numpy and for polynomial fitting there is a You can get a number of random indices from your array by using: indices = np.random.choice(A.shape[0], number_of_samples, replace=False) You can then use fancy indexing with your numpy array to get the samples at those indices: A[indices] This will get you the specified number of random samples from your data.

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Numpy Array Get MemberOct 17, 2010 · It's vectorized across arbitrary input dimensions, it's fast, its intuitive, it works on numpy v1.15.4, it doesn't use pandas. I really wish numpy supported this functionality, it's required all the time in application development. I always get super nervous when I have to roll my own stuff like this, I always feel like I'm missing an edge case. Mar 14 2021 nbsp 0183 32 Therefore you need Python 3 7 or higher to install this version of numpy If you are using an older version of Python and need the most recent version of the package that is compatible with that version you can go to the release history the second link at the top of the sidebar and try different versions scrolling down to the quot Meta