February 6th, 2013, 12:45 PM
Pickle 'Buffer Region' error
I was wondering if anyone had any good solutions to the pickling error I am having at the moment. I am trying to set my code up to open several different processes in parallel, each with a fitting process to be display on a matplotlib canvas in real time. Within my main application, I have a button which activates this function:
As you may notice, a 'tab' (PyQt4.QtGui.QTabWidget object) is passed to the function process_and_fit, which I have noticed is not able to be pickled readily (link here) .
process_list = 
for tab in self.tab_list:
However, I am not certain how to change the code to get rid of the frame being passed since it needs to be called in the process_and_fit function indirectly. By indirectly I mean something like this: (psuedo code again)
Does anyone know how to get around this pickling error since the tab associated with a process should have only one set of data associated with it? I looked at Steven Bethard's approach but I really didn't understand where to put the code or how to utilize it. (I am a chemical engineer, not a computer scientist so there's a lot that I don't understand)
def process_and_fit(tab): # this just sets up and starts the fitting process
result = lmfit.Minimizer(residual, parameters, fcn_args=(tab,))
def residual(params, tab):
residual_array = Y - model
def __init__(self, parent, spectra):
# stuff to initialize the tab widget and hold all of the matplotlib lines and canvases
# This just refreshes the GUI stuff everytime that the parameters are fit in the least squares method
Any help is greatly appreciated.