RandomState.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution

numpy.ma.all(self, axis=None, out=None) = Check if all of the elements of a are true. Performs a logical_and

numpy.fft.rfft2(a, s=None, axes=(-2, -1), norm=None)

numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None)

numpy.linalg.pinv(a, rcond=1e-15)

RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return

numpy.geterrcall()

numpy.transpose(a, axes=None)

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

numpy.polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False)