This is the first part of the traceback:

Traceback (most recent call last):
File “C:Python25Libsite-packagesmatplotlibbackendsbackend_wx.py”, line 1081, in _onPaint
self.draw(repaint=False)
File “C:Python25Libsite-packagesmatplotlibbackendsbackend_wxagg.py”, line 61, in draw
FigureCanvasAgg.draw(self)
File “C:Python25Libsite-packagesmatplotlibbackendsbackend_agg.py”, line 358, in draw
self.figure.draw(self.renderer)
File “C:Python25Libsite-packagesmatplotlibfigure.py”, line 624, in draw
for a in self.axes: a.draw(renderer)
File “C:Python25Libsite-packagesmatplotlibaxes.py”, line 1345, in draw
a.draw(renderer)
File “C:projektelm2.worksrcviewyagutetframes.py”, line 67, in draw
rf = self.make_range_frame()
File “C:projektelm2.worksrcviewyagutetframes.py”, line 85, in make_range_frame
colors=[self.color])
File “C:Python25Libsite-packagesmatplotlibcollections.py”, line 678, in init
self._colors = _colors.colorConverter.to_rgba_list(colors)
File “C:Python25Libsite-packagesmatplotlibcolors.py”, line 327, in to_rgba_list
c[i] = self.to_rgba(cc, alpha) # change in place
File “C:Python25Libsite-packagesmatplotlibcolors.py”, line 309, in to_rgba
raise ValueError(’to_rgba: Invalid rgba arg “%s”n%s’ % (str(arg), exc))
ValueError: to_rgba: Invalid rgba arg “(100, 300)”

I try to use etframes integrated in a wxpython application and use a program like this, which goes into recursion and crashes.

I presume that I use etframes in a wrong way but can’t figure it out.

Source follows (hopefully the indentation keeps in order)

!/usr/bin/env python

import wx
import wx.grid
from numpy import *
import matplotlib
matplotlib.use(’WXAgg’)
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
from matplotlib.figure import Figure
import etframes

def minmax(data):
return min(data), max(data)

class ActionFrame(wx.Frame):

def __init__(self, *args, **kwargs):
    wx.Frame.__init__(self, *args, **kwargs)
    self.fig = Figure((5,4), 75)
    self.canvas = FigureCanvasWxAgg(self, -1, self.fig)
    sizer = wx.BoxSizer(wx.VERTICAL)
    # This way of adding to sizer allows resizing
    sizer.Add(self.canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
    self.SetSizer(sizer)
    self.Fit()
    data = [100, 200, 300,]
    index = [1,2,3]
    self.axes = self.fig.add_subplot(111)
    etframes.add_range_frame(self.axes,minmax(data),minmax(index))
    self.axes.plot(index,data,'go')

class App(wx.App):
def OnInit(self):
self.frm = ActionFrame(None,title=”Action Frame”)
self.frm.Show()
self.SetTopWindow(self.frm)
return True

if name == ‘main‘:
app = App(False)
app.MainLoop()

Good point about the major tick marks. You can turn them off by putting this into the script after the imports:

rcParams['xtick.major.size'] = 0
rcParams['ytick.major.size'] = 0

I don’t see any cleaner way of doing this. If you turn off the major ticks entirely it also turns off the numbers below.

Thanks for all your thoughts and this great solution to the dot-dash and the range-plot!
-Allen

from numpy import random
import pylab
import etframes

ys = [random.normal() for _ in range(100)]
xs = [random.normal() for _ in range(100)]

pylab.scatter(xs,ys)

etframes.add_dot_dash_plot(pylab.gca(), ys=ys, xs=xs)

show()

Essentially, all calls for me need to reference the imports… I don’t know if import numpy as * would work… perhaps. On some SciPy sites, I’ve seen the preference of having import numpy as n, import etframes as e, etc… then your calls are like: p.gca() intead of gca().

In anycase, very very interesting work!! Feel free to edit the comments as you wish- I just wanted some of this info out there for anyone trying to make your demos work with a new/newbie install of SciPy and all the goodies.

Cheers!!
-Allen

ps- If I use any of these in publications for any reason, you will get acknowledgment and I’ll be in touch to let you know.

I’ve tried out the demos, but am having some problems… demo_range.py works just fine (I’m manually typing this into iPython right now)- but, I can’t seem to make the demo_ddp.py work. It’s telling me that it doesn’t know what random() means.

I suspect a problem in my install, but I’ve been able to run all the numpy tests without issues… so I’m a bit stumped. I believe that numpy is importing without problems, but even if I import numpy as n, then do an n.random() I’m not getting anywhere.

Any thoughts are greatly appreciated! Like the plots!
-Allen