numpy.random.mtrand.RandomState.randint — NumPy v1.17 Manual
numpy.random.mtrand.RandomState.randint¶ method RandomState.randint(low, high=None, size=None, dtype='l')¶ Return random integers from low (inclusive) to high (exclusive). Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low). low : int or array-like of ints Lowes
scipy.stats.ttest_ind — SciPy v1.12.0 Manual
scipy.stats.ttest_ind# scipy.stats.ttest_ind(a, b, axis=0, equal_var=True, nan_policy='propagate', permutations=None, random_state=None, alternative='two-sided', trim=0, *, keepdims=False)[source]# Calculate the T-test for the means of two independent samples of scores. This is a test for the null hypothesis that 2 independent samples have identical average (expected) values. This test assumes tha
Interpolation (scipy.interpolate) — SciPy v1.1.0 Reference Guide
There are several general interpolation facilities available in SciPy, for data in 1, 2, and higher dimensions: A class representing an interpolant (interp1d) in 1-D, offering several interpolation methods. Convenience function griddata offering a simple interface to interpolation in N dimensions (N = 1, 2, 3, 4, …). Object-oriented interface for the underlying routines is also available. Function
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