numpy.fromiter(iterable, dtype, count=-1) Create a new 1-dimensional array from an iterable object.

numpy.ma.average(a, axis=None, weights=None, returned=False)

RandomState.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The

MaskedArray.mask Mask

chararray.flags Information about the memory layout of the array. Notes

chararray.shape Tuple of array dimensions. Notes May be used to ?reshape

chararray.nbytes Total bytes consumed by the elements of the array. Notes

numpy.matlib.repmat(a, m, n)

classmethod Chebyshev.cast(series, domain=None, window=None)

numpy.ma.masked_equal(x, value, copy=True)