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

numpy.polynomial.polynomial.polyint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

numpy.histogram(a, bins=10, range=None, normed=False, weights=None, density=None)

numpy.polynomial.laguerre.lagmulx(c)

numpy.polynomial.polynomial.polyval2d(x, y, c)

chararray.rfind(sub, start=0, end=None)

numpy.ma.load(F)

numpy.ma.filled(a, fill_value=None)

numpy.testing.assert_allclose(actual, desired, rtol=1e-07, atol=0, equal_nan=False, err_msg='', verbose=True)

numpy.nanstd(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False)