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Diffstat (limited to 'numpy/polynomial/chebyshev.py')
| -rw-r--r-- | numpy/polynomial/chebyshev.py | 32 |
1 files changed, 23 insertions, 9 deletions
diff --git a/numpy/polynomial/chebyshev.py b/numpy/polynomial/chebyshev.py index d99fd98f5..6745c9371 100644 --- a/numpy/polynomial/chebyshev.py +++ b/numpy/polynomial/chebyshev.py @@ -477,8 +477,6 @@ def chebline(off, scl): """ Chebyshev series whose graph is a straight line. - - Parameters ---------- off, scl : scalars @@ -492,7 +490,11 @@ def chebline(off, scl): See Also -------- - polyline + numpy.polynomial.polynomial.polyline + numpy.polynomial.legendre.legline + numpy.polynomial.laguerre.lagline + numpy.polynomial.hermite.hermline + numpy.polynomial.hermite_e.hermeline Examples -------- @@ -545,7 +547,11 @@ def chebfromroots(roots): See Also -------- - polyfromroots, legfromroots, lagfromroots, hermfromroots, hermefromroots + numpy.polynomial.polynomial.polyfromroots + numpy.polynomial.legendre.legfromroots + numpy.polynomial.laguerre.lagfromroots + numpy.polynomial.hermite.hermfromroots + numpy.polynomial.hermite_e.hermefromroots Examples -------- @@ -764,7 +770,7 @@ def chebdiv(c1, c2): See Also -------- - chebadd, chebsub, chemulx, chebmul, chebpow + chebadd, chebsub, chebmulx, chebmul, chebpow Notes ----- @@ -1601,7 +1607,7 @@ def chebfit(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 ----- @@ -1615,11 +1621,15 @@ def chebfit(x, y, deg, rcond=None, full=False, w=None): See Also -------- - polyfit, legfit, lagfit, hermfit, hermefit + numpy.polynomial.polynomial.polyfit + numpy.polynomial.legendre.legfit + numpy.polynomial.laguerre.lagfit + numpy.polynomial.hermite.hermfit + numpy.polynomial.hermite_e.hermefit chebval : Evaluates a Chebyshev series. chebvander : Vandermonde matrix of Chebyshev series. chebweight : Chebyshev weight function. - 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 @@ -1729,7 +1739,11 @@ def chebroots(c): See Also -------- - polyroots, legroots, lagroots, hermroots, hermeroots + numpy.polynomial.polynomial.polyroots + numpy.polynomial.legendre.legroots + numpy.polynomial.laguerre.lagroots + numpy.polynomial.hermite.hermroots + numpy.polynomial.hermite_e.hermeroots Notes ----- |