numpy.ma.masked_object(x, value, copy=True, shrink=True)

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

MaskedArray.var(axis=None, dtype=None, out=None, ddof=0)

numpy.in1d(ar1, ar2, assume_unique=False, invert=False)

numpy.polynomial.hermite.hermpow(c, pow, maxpower=16)

chararray.expandtabs(tabsize=8)

numpy.core.defchararray.isalpha(a)

numpy.array_equiv(a1, a2)

Various windows

RandomState.weibull(a, size=None) Draw samples from a Weibull distribution. Draw samples from a 1-parameter