For convenience of use, I implemented three simple scales. I have not yet
tested it rigorously, but the usage is similar to protovis scales.
https://github.com/laserson/pytools/blob/master/scale.py
Uri
...................................................................................
Uri Laserson
Graduate Student, Biomedical Engineering
Harvard-MIT Division of Health Sciences and Technology
M +1 917 742 8019
laser...@mit.edu
On Sun, Jan 16, 2011 at 21:23, Paul Ivanov <pivanov...@gmail.com> wrote:
> Uri Laserson, on 2011-01-16 17:41, wrote:
> > Hi all,
> >
> > Does there already exist some python implementation (in MPL or other) of
> an
> > easy-to-use 1D scale transformation? This is something analogous to
> > processing's map function or protovis's scale functionality. It would
> work
> > something like:
> >
> > s = linear().domain(5,100).range(13000,15000)
> >
> > or
> >
> > s = root(p=5).domain(0.1,0.6).range(0,1)
> >
> > There could be multiple versions, including linear, log, symlog, root
> > (power), discrete, etc.
>
> Hi Uri,
>
> I think that the closest we have matplotlib is
> matplotlib.colors.Normalize[1] and matplotlib.colors.LogNorm[2], but
> both of these have a fixed range of the 0-1 (which is the reason
> they are in colors). Both of these do end up with an inverse
> method that you could leverage to get an arbitrary range, though.
>
> 1.
> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.Normalize
> 2.
> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LogNorm
>
> --
> Paul Ivanov
> 314 address only used for lists, off-list direct email at:
> http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
>
> -----BEGIN PGP SIGNATURE-----
> Version: GnuPG v1.4.10 (GNU/Linux)
>
> iEYEARECAAYFAk0zqBAACgkQe+cmRQ8+KPcfSwCdGJp3J4uENsx11VMKAJdxkLEG
> SEMAn1qqBYY8G6M1bcsfl7+7yc3doKiw
> =x2vj
> -----END PGP SIGNATURE-----
>
>
> ------------------------------------------------------------------------------
> Protect Your Site and Customers from Malware Attacks
> Learn about various malware tactics and how to avoid them. Understand
> malware threats, the impact they can have on your business, and how you
> can protect your company and customers by using code signing.
> http://p.sf.net/sfu/oracle-sfdevnl
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
------------------------------------------------------------------------------
Protect Your Site and Customers from Malware Attacks
Learn about various malware tactics and how to avoid them. Understand
malware threats, the impact they can have on your business, and how you
can protect your company and customers by using code signing.
http://p.sf.net/sfu/oracle-sfdevnl
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
