pickle

How can I convert to a pickle object to a xml document? For example, I have a pickle like that: cpyplusplus_test Coordinate p0 (I23 I-11 tp1 Rp2 . I want to get something like: <Coordinate> <x>23</x> <y>-11</y> </Coordinate> The Coordinate class has x and y attributes of course. I can supply a xml schema for conversion. I tried gnosis.xml module. It can objectify xml documents to python object. But it cannot serialize objects to xml documents like above. Any suggestion? Thanks. gnosis.xml does support pickling to XML: import gnosis.xml.pickle xml_str = gnosis.xml.pickle.dumps(obj) To

When I run predict_proba on a dataframe without multiprocessing I get the expected behavior. The code is as follows: probabilities_data = classname.perform_model_prob_predictions_nc(prediction_model, vectorized_data) where: perform_model_prob_predictions_nc is: def perform_model_prob_predictions_nc(model, dataFrame): try: return model.predict_proba(dataFrame) except AttributeError: logging.error("AttributeError occurred",exc_info=True) But when I try to run the same function using chunks and multiprocessing: probabilities_data = classname.perform_model_prob_predictions(prediction_model, chunks

This exercise assumes that you have created the Employee class for Programming Exercise 4. Create a program that stores Employee objects in a dictionary. Use the employee ID number as the key. The program should present a menu that lets the user perform the following actions: • Look up an employee in the dictionary • Add a new employee to the dictionary • Change an existing employee’s name, department, and job title in the dictionary • Delete an employee from the dictionary • Quit the program When the program ends, it should pickle the dictionary and save it to a file. Each time the program

I have a program in which I need to store a global variable into a file. I am doing this using the pickle module. I have another thread (Daemon= False , from threading module) which sometimes changes the value of the global variable. The value is also modified in global scope(the main program). I am dumping the value of the variable into a .pkl file every 5 seconds (using another thread from threading module). But I found the following error when dump method was executed: TypeError: can't pickle _thread.lock objects Why is this happening? And what can I do to fix it? Note: I have found some

I have a simple Django model with a binary field that I would like to pickle. class MyModel(models.Model): bin_data = models.BinaryField() From the context of my unittests, I do the following: import pickle tmp_obj = MyModel.objects.create(bin_data="12345") obj = MyModel.objects.get(pk=tmp_obj.pk) # load from DB data = pickle.dumps(obj) obj2 = pickle.loads(data) However the pickle.dumps() fails with: TypeError: can't pickle buffer objects When I use the following command to pickle: data = pickle.dumps(obj, protocol=-1) The dump succeeds but pickle.loads() fails with: TypeError: buffer() takes