without the svn version, you can save both files.
edit figureoptions.py to modify the import:
#import matplotlib.backends.qt4_editor.formlayout as formlayout
import formlayout
then, you can attach the nice dialog box to a Event, something like that
works:
import matplotlib.pyplot as plt
import numpy as np
import figureoptions
t = np.arange(0, 1+0.01, 0.01)
y = np.sin(2*np.pi*t)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(t, y, 'r-o')
def onclick(event):
figureoptions.figure_edit(ax)
cid = fig.canvas.mpl_connect('button_press_event', onclick)
plt.show()
click on the figure, you will get the dialog box. less cool than the button,
but not too bad.
2010/3/21 Peter Butterworth <butt...@gmail.com>
> Correction: '0.99.3rc1' does not include the qt4_editor code, so you
> do need to get the source files from svn.
>
> The feature is a nice addition to matplotlib..
>
>
> On Sun, Mar 21, 2010 at 1:53 AM, Gökhan Sever <gokhanse...@gmail.com>
> wrote:
> >
> >
> > On Sat, Mar 20, 2010 at 7:43 PM, <butt...@gmail.com> wrote:
> >>
> >> I'm using the recent '0.99.3rc1' which does include the qt4_editor code.
> >
> >
> > If you have the qt4_editor code within your installation you are good to
> go
> > then. Just create a new plot while the Qt4Agg backend is pre-selected you
> > should have an additional icon on the existing navigation toolbar. From
> > there on you should see a window when you fire that icon.
> >
> > It is migrated from Pierre Raybout's spyderlib
> > (http://code.google.com/p/spyderlib/)
> >
> >
> >>
> >> Should the new toolbar just appear when you open a plot or is specific
> >> code needed to call it ?
> >>
> >>
> >> Le , Gökhan Sever <gokhanse...@gmail.com> a écrit :
> >> >
> >> >
> >> > On Sat, Mar 20, 2010 at 6:06 PM, butterw butt...@gmail.com> wrote:
> >> >
> >> >
> >> >
> >> > Is there an minimal example file available showing how to activate
> this
> >> > new
> >> >
> >> > plot toolbar ?
> >> >
> >> >
> >> >
> >> > changing the backend to Qt4Agg apparently is not sufficient.
> >> >
> >> >
> >> >
> >> >
> >> >
> >> > You need to install matplotlib from the svn trunk.
> >> >
> >> > http://matplotlib.sourceforge.net/faq/installing_faq.html#install-svn
> >> >
> >> >
> >> > --
> >> > Gökhan
> >
> >
> > --
> > Gökhan
> >
>
>
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