On Tue, Feb 9, 2010 at 9:30 PM, David Goldsmith <d.l.goldsm...@gmail.com> wrote: > Are you talking about absence in the Wiki or absence in a NumPy executable. > They're in the former (I've been editing them), and they're in 1.4.0 of the > latter:
I have them in numpy 1.4, I see them in the doceditor, but not in http://docs.scipy.org/doc/numpy/search.html?q=chebychev&check_keywords=yes&area=default or search for chebfit I think they are not added to the html docs because they are not referenced in any rst file. That's a different issue from having them in the source and the doceditor application. Josef > >>>> import numpy as N >>>> N.version.version > '1.4.0' >>>> from numpy.polynomial import chebyshev as C >>>> help(C.chebfit) > Help on function chebfit in module numpy.polynomial.chebyshev: > > chebfit(x, y, deg, rcond=None, full=False) > Least squares fit of Chebyshev series to data. > > Fit a Chebyshev series ``p(x) = p[0] * T_{deq}(x) + ... + p[deg] * > T_{0}(x)`` of degree `deg` to points `(x, y)`. Returns a vector of > coefficients `p` that minimises the squared error. > > Parameters > ---------- > x : array_like, shape (M,) > x-coordinates of the M sample points ``(x[i], y[i])``. > y : array_like, shape (M,) or (M, K) > y-coordinates of the sample points. Several data sets of sample > points sharing the same x-coordinates can be fitted at once by > passing in a 2D-array that contains one dataset per column. > Etc. > > What version of NumPy are you running? > > DG > > On Tue, Feb 9, 2010 at 4:40 PM, <josef.p...@gmail.com> wrote: >> >> Similar to the recfunctions, I also don't find the new chebychev >> polynomials in the docs. >> >> Are they linked from any rst file? >> >> A search in the online sphinx html docs comes up empty, and >> >> http://docs.scipy.org/numpy/docs/numpy-docs/reference/routines.poly.rst/#routines-poly >> doesn't link to the new functions. >> >> The docstrings look nice but maybe nobody sees them. >> >> Josef >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
