numpy.testing.assert_almost_equal(actual, desired, decimal=7, err_msg='', verbose=True)

numpy.cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, aweights=None)

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn

numpy.ma.corrcoef(x, y=None, rowvar=True, bias=, allow_masked=True, ddof=)

Note numpy.emath is a preferred alias for

Legendre.copy()

Legendre.truncate(size)

numpy.ma.getmask(a)

broadcast.shape Shape of broadcasted result. Examples

numpy.core.records.fromrecords(recList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)