diff options
Diffstat (limited to 'numpy/polynomial/legendre.py')
| -rw-r--r-- | numpy/polynomial/legendre.py | 28 |
1 files changed, 22 insertions, 6 deletions
diff --git a/numpy/polynomial/legendre.py b/numpy/polynomial/legendre.py index 7b5b665f2..427f9f82f 100644 --- a/numpy/polynomial/legendre.py +++ b/numpy/polynomial/legendre.py @@ -243,7 +243,11 @@ def legline(off, scl): See Also -------- - polyline, chebline + numpy.polynomial.polynomial.polyline + numpy.polynomial.chebyshev.chebline + numpy.polynomial.laguerre.lagline + numpy.polynomial.hermite.hermline + numpy.polynomial.hermite_e.hermeline Examples -------- @@ -296,7 +300,11 @@ def legfromroots(roots): See Also -------- - polyfromroots, chebfromroots, lagfromroots, hermfromroots, hermefromroots + numpy.polynomial.polynomial.polyfromroots + numpy.polynomial.chebyshev.chebfromroots + numpy.polynomial.laguerre.lagfromroots + numpy.polynomial.hermite.hermfromroots + numpy.polynomial.hermite_e.hermefromroots Examples -------- @@ -1343,7 +1351,7 @@ def legfit(x, y, deg, rcond=None, full=False, w=None): sv -- singular values of the scaled Vandermonde matrix rcond -- value of `rcond`. - For more details, see `linalg.lstsq`. + For more details, see `numpy.linalg.lstsq`. Warns ----- @@ -1357,11 +1365,15 @@ def legfit(x, y, deg, rcond=None, full=False, w=None): See Also -------- - chebfit, polyfit, lagfit, hermfit, hermefit + numpy.polynomial.polynomial.polyfit + numpy.polynomial.chebyshev.chebfit + numpy.polynomial.laguerre.lagfit + numpy.polynomial.hermite.hermfit + numpy.polynomial.hermite_e.hermefit legval : Evaluates a Legendre series. legvander : Vandermonde matrix of Legendre series. legweight : Legendre weight function (= 1). - linalg.lstsq : Computes a least-squares fit from the matrix. + numpy.linalg.lstsq : Computes a least-squares fit from the matrix. scipy.interpolate.UnivariateSpline : Computes spline fits. Notes @@ -1470,7 +1482,11 @@ def legroots(c): See Also -------- - polyroots, chebroots, lagroots, hermroots, hermeroots + numpy.polynomial.polynomial.polyroots + numpy.polynomial.chebyshev.chebroots + numpy.polynomial.laguerre.lagroots + numpy.polynomial.hermite.hermroots + numpy.polynomial.hermite_e.hermeroots Notes ----- |