[Numpy-discussion] wanted: decent matplotlib alternative

John Salvatier jsalvati@u.washington....
Thu Oct 13 16:31:04 CDT 2011


I second that request.

On Thu, Oct 13, 2011 at 2:21 PM, Zachary Pincus <zachary.pincus@yale.edu>wrote:

> I keep meaning to use matplotlib as well, but every time I try I also get
> really turned off by the matlabish interface in the examples. I get that
> it's a selling point for matlab refugees, but I find it counterintuitive in
> the same way Christoph seems to.
>
> I'm glad to hear the OO interface isn't as clunky as it looks on some of
> the doc pages, though. This is good news. Can anyone point out any good
> tutorials/docs on using matplotlib idiomatically via its OO interface?
>
> Zach
>
>
>
> On Oct 13, 2011, at 3:21 PM, Joe Kington wrote:
>
> > Have a look at Chaco: http://code.enthought.com/chaco/  If you're
> wanting a more pythonic api, it's a good choice.
> >
> > Personally, I still prefer matplotlib.
> >
> > You don't every need to touch the state machine interface.
> >
> > The OO interface is slighly un-pythonic, but it's hardly clunky. I think
> you're referring to one of the webpage examples of it which avoids _any_
> convenience functions.  You can still use the convenience functions without
> having to rely on the state machine in any way. E.g.:
> >
> > import matplotlib.pyplot as plt
> >
> > fig, axes = plt.subplots(ncols=4)
> >
> > for ax in axes:
> >     ax.plot(range(10))
> >
> > plt.show()
> >
> > All in all, matplotlib deliberately tries to mimic matlab for a lot of
> the conventions.  This is mostly to make it easier to switch if you're
> already familiar with matlab.
> >
> > To each his own, but for better or worse, matplotlib is the most widely
> used plotting library for python.  It's worth getting a bit more familiar
> with, if nothing else just to see past some of the rough edges.
> >
> > -Joe
> >
> >
> >
> > On Thu, Oct 13, 2011 at 1:58 PM, Christoph Groth <cwg@falma.de> wrote:
> > Hello,
> >
> > Is it just me who thinks that matplotlib is ugly and a pain to use?  So
> > far I haven't found a decent alternative usable from within python.  (I
> > haven't tried all the packages out there.)  I'm mostly interested in 2d
> > plots.  Who is happy enough with a numpy-compatible plotting package to
> > recommend it?
> >
> > Thanks,
> >
> > Christoph
> >
> >
> >
> >
> > A few things I can't stand about matplotlib:
> >
> >  * It works as a state machine.  (There is an OO-API, too, but it's ugly
> >   and cumbersome to use, and most examples use the state machine mode
> >   or, even worse, a mixture of OO and global state.)
> >
> >  * It uses inches by default. (I propose to switch to nails: 1 nail = 3
> >   digits = 2 1/4 inches = 1/16 yard.)
> >
> >  * subplot(211)  (ugh!)
> >
> >  * Concepts are named in a confusing way. ("ax = subplot(112)" anyone?)
> >
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