RandomState.hypergeometric(ngood, nbad, nsample, size=None) Draw samples from a Hypergeometric distribution

MaskedArray.__pow__(other)

numpy.base_repr(number, base=2, padding=0)

generic.shape tuple of array dimensions

numpy.extract(condition, arr)

numpy.polynomial.chebyshev.chebsub(c1, c2)

numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding='ASCII')

Polynomials in NumPy can be created, manipulated, and even fitted using the

numpy.polynomial.hermite.hermfromroots(roots)

matrix.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in a to maintain