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oh, I got it...needed to include backend package in the cf_freeze setup
script.

thanks,



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Hhhhmmm...what exactly do you have in mind? Sure, many of the steps to plot
something are the same; to be sure, the data changes and possibly the type
of plot...

what kind of application are you writing?
how much freedom do you really want to give to the user?
is the plot specific enough? given the context of the application?
is the user expected to know python and matplotlib?

have you tried eval?

have you thought about simply providing a python console along with your
application?

...just throwing questions at you to make you think more about this.



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So, I have a working program that starts like this:

import os
import sys
import numpy as np
from pylab import *
from matplotlib.widgets import Slider
from matplotlib.patches import FancyBboxPatch, Rectangle

but when I cx_freeze it, it complains about some missing backend_ stuff, so,
I do:

import os
import sys
import numpy as np
*import matplotlib
matplotlib.use("TkAgg")
*from pylab import *
from matplotlib.widgets import Slider
from matplotlib.patches import FancyBboxPatch, Rectangle

but the problem continues...

...anybody know how to solve this problem?

I would appreciate very much.

Oh, here is the setup file generated with cx_freeze


from cx_Freeze import setup, Executable

# Dependencies are automatically detected, but it might need
# fine tuning.
buildOptions = dict(packages = [], excludes = [])

import sys
base = 'Win32GUI' if sys.platform=='win32' else None

executables = [
    Executable('c.py', base=base)
]

setup(name='Cross-slot-flux',
      version = '1.0',
      description = 'Visual',
      options = dict(build_exe = buildOptions),
      executables = executables)






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