numpy.random.zipf(a, size=None) Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution with specified parameter a > 1. The Zipf distribution (also known as the zeta distribution) is a continuous probability distribution that satisfies Zipf?s law: the frequency of an item is inversely proportional to its rank in a frequency table. Parameters: a : float > 1 Distribution parameter. size : int or tuple of ints, optional Output shape. If the given shape is, e

MaskedArray.__and__ x.__and__(y) <==> x&y

record.prod() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

iinfo.min Minimum value of given dtype.

numpy.polynomial.legendre.legone = array([1])

broadcast.size Total size of broadcasted result. Examples >>> x = np.array([1, 2, 3]) >>> y = np.array([[4], [5], [6]]) >>> b = np.broadcast(x, y) >>> b.size 9

matrix.conjugate() Return the complex conjugate, element-wise. Refer to numpy.conjugate for full documentation. See also numpy.conjugate equivalent function

numpy.fft.rfft(a, n=None, axis=-1, norm=None) [source] Compute the one-dimensional discrete Fourier Transform for real input. This function computes the one-dimensional n-point discrete Fourier Transform (DFT) of a real-valued array by means of an efficient algorithm called the Fast Fourier Transform (FFT). Parameters: a : array_like Input array n : int, optional Number of points along transformation axis in the input to use. If n is smaller than the length of the input, the input is cr

generic.__array_priority__ Array priority.

numpy.testing.decorators.setastest(tf=True) [source] Signals to nose that this function is or is not a test. Parameters: tf : bool If True, specifies that the decorated callable is a test. If False, specifies that the decorated callable is not a test. Default is True. Notes This decorator can?t use the nose namespace, because it can be called from a non-test module. See also istest and nottest in nose.tools. Examples setastest can be used in the following way: from numpy.testing.decorat