I second that request. On Thu, Oct 13, 2011 at 2:21 PM, Zachary Pincus <zachary.pin...@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 <c...@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?) > > > > _______________________________________________ > > 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 >
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