pickle

问题 This is a problem which I suspect is common, but I haven't found a solution for it. What I want is quite simple, and seemingly technically feasible: I have a simple python class, and I want to store it on disc, instance and definition, in a single file. Pickle will store the data, but it doesn't store the class definition. One might argue that the class definition is already stored in my .py file, but I don't want a separate .py file; my goal is to have a self-contained single file that I

问题 I have a list of objects of various types that I want to pickle. I would like to pickle only those which are pickleable. Is there a standard way to check if an object is of pickleable type, other than trying to pickle it? The documentation says that if a pickling exception occurs it may be already after some of the bytes have been written to the file, so trying to pickle the objects as a test doesn't seem like a good solution. I saw this post but it doesn't answer my question. 回答1: I would

问题 If a dill file is to large to RAM, is it possible to load it in an alternative method. For example python3 is throwing Memory Errors when I load a serialized object of about 1.2 GB. file = open('SerializedData.pkl', 'rb') data = dill.load(file) This will not pass because the RAM is too small. However, is it possible to load it in a different way so that I extract the data without overloading the RAM? 来源： https://stackoverflow.com/questions/32465186/if-dill-file-is-too-large-for-ram-is-there

问题 I've big class in Python it's "DataBase-like" class. I want to save it to file - all including data. This is input(example to show the issue, in script database is like 10000 records): import cPickle # DataBase-like class class DataBase: class Arrays: pass class Zones: pass class Nodes: class CR: pass class Links: class CR: pass class Turns: class CR: pass class OrigConnectors: pass class DestConnectors: pass class Paths: pass pass # some basic input into database DataBase.Arrays.Data=[] for

问题 How to send a class object in the payload of a task in python? I want to send an object in the parameters of a task. When I use simplejson , I get the error: Object is not serializable . When I use pickle, I get KeyValue Error . How to do this ? This is the class which I want to serialize class Matrix2D_icfg: name = "" indices = [] value = {} def __init__(self,s): self.name = s self.indices = [] def __getitem__(self,i): self.indices.append(i) if len(self.indices)==2: (m,n) = self.indices self

问题 Instance methods can not automatically be pickled in both Python 2 or Python 3. I need to pickle instance methods with Python 3 and I ported example code of Steven Bethard to Python 3: import copyreg import types def _pickle_method(method): func_name = method.__func__.__name__ obj = method.__self__ cls = method.__self__.__class__ return _unpickle_method, (func_name, obj, cls) def _unpickle_method(func_name, obj, cls): for cls in cls.mro(): try: func = cls.__dict__[func_name] except KeyError:

问题 I have a script that requires Python 2.6. I will be adding a large-ish pickled database to the next version, and I want to use the fastest version of pickling. How can I tell which versions of pickling are available in every version of Python 2.6 and later? 回答1: Like so: >>> import pickle >>> pickle.compatible_formats ['1.0', '1.1', '1.2', '1.3', '2.0'] Edit I think it's safe to rely on the latest documentation. For example the pickle documentation for Python 3.2.1 states: There are currently

问题 I have a script that requires Python 2.6. I will be adding a large-ish pickled database to the next version, and I want to use the fastest version of pickling. How can I tell which versions of pickling are available in every version of Python 2.6 and later? 回答1: Like so: >>> import pickle >>> pickle.compatible_formats ['1.0', '1.1', '1.2', '1.3', '2.0'] Edit I think it's safe to rely on the latest documentation. For example the pickle documentation for Python 3.2.1 states: There are currently

问题 Okay so my question is pretty specific and I apologize in advance. I'm a new programmer and tried developing on my own from scratch. It was relatively successful only I have one last problem, that I can see. You can view my code here in its entirety. Project So the problem I'm having is related to the way I save the file. I first tried to pickle it since it's a dictionary but I kept getting an error because my dictionary is (name, class) pairs. I searched around on here and saw I could try

问题 I've just compiled and installed pandas from source (cloned github repo, >>> setup.py install ). It happened that the default behavior of module pickle for object serialization/deserialization changed being likely partially overridden by pandas internal modules. I have quite some data classes serialized via "standard" pickle which apparently I cannot deserialize anymore; in particular, when I try to deserialize a class file (surely working), I get this error In [1]: import pickle In [2]: