numpy.random.rand(d0, d1, ..., dn) Random values in a given shape. Create an array of the given shape and populate

chararray.isalpha()

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

chararray.lower()

ndindex.ndincr()

chararray.nonzero() Return the indices of the elements that are non-zero. Refer to

numpy.testing.assert_approx_equal(actual, desired, significant=7, err_msg='', verbose=True)

matrix.sum(axis=None, dtype=None, out=None)

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

numpy.polynomial.legendre.legdiv(c1, c2)