numpy.ma.make_mask_none(newshape, dtype=None)

numpy.ma.masked_where(condition, a, copy=True)

numpy.zeros_like(a, dtype=None, order='K', subok=True)

numpy.random.chisquare(df, size=None) Draw samples from a chi-square distribution. When df independent

dtype.descr Array-interface compliant full description of the data-type. The format is that required by the ?descr

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

numpy.core.defchararray.capitalize(a)

classmethod Chebyshev.identity(domain=None, window=None)

numpy.ma.maximum_fill_value(obj)

numpy.tile(A, reps)