pickle

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]:

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]:

问题 I am trying to use cPickle on a windows box, using Anaconda. I am using python 3.5. I am not using a virtualenv (though probably should be). When I try to import cPickle I get "ImportError: No module named 'cPickle'" Python 3.5.0 |Anaconda custom (64-bit)| (default, Dec 1 2015, 11:46:22) [MSC v. 1900 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import cPickle Traceback (most recent call last): File "<stdin>", line 1, in <module>

问题 I am pickling Python Objects in Django and saving it in MySQL db. So far i have followed these simple rules: cPickle.dumps(object) #to convert python object to pickled object cPickle.loads(pickled_object) # to load back the python object from pickled object My Django Model Field is Text Field MySQL db field Type is longblob Attributes binary MySQL db encoding is utf8_unicode_ci Unfortunately i am getting following error while loading back python object. Type Error: ('an integer is required',

问题 I am pickling Python Objects in Django and saving it in MySQL db. So far i have followed these simple rules: cPickle.dumps(object) #to convert python object to pickled object cPickle.loads(pickled_object) # to load back the python object from pickled object My Django Model Field is Text Field MySQL db field Type is longblob Attributes binary MySQL db encoding is utf8_unicode_ci Unfortunately i am getting following error while loading back python object. Type Error: ('an integer is required',

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 6 months ago . i need to store Python structures made of lists / dictionaries, tuples into a human readable format. The idea is like using something similar to pickle, but pickle is not human-friendly. Other options that come to my mind are YAML (through PyYAML and JSON (through simplejson

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 6 months ago . i need to store Python structures made of lists / dictionaries, tuples into a human readable format. The idea is like using something similar to pickle, but pickle is not human-friendly. Other options that come to my mind are YAML (through PyYAML and JSON (through simplejson

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . What is faster: (A) 'Unpickling' (Loading) a pickled dictionary object, using pickle.load() or (B) Loading a JSON file to a dictionary using simplejson.load() Assuming: The pickled object file exists already in case A, and that the JSON file exists already in case B. 回答1: The speed actually depends on the data,

问题 I'm using mongoid, machinist 2 and pickle. But I think, that question is more common. I have an Account model: class Account include Mongoid::Document include Mongoid::Timestamps referenced_in :user end and User: class User include Mongoid::Document include Mongoid::Timestamps references_one :account end I have the following scenario(I set reference_one association): Scenario: Client views his account Given a user with id: "4ceede9b5e6f991aef000007" And the following accounts exist: | user_id

问题 Trying to use the code here https://stackoverflow.com/a/15390953/378594 to convert a numpy array into a shared memory array and back. Running the following code: shared_array = shmarray.ndarray_to_shm(my_numpy_array) and then passing the shared_array as an argument in the list of argument for a multiprocessing pool: pool.map(my_function, list_of_args_arrays) Where list_of_args_arrays contains my shared array and other arguments. It results in the following error PicklingError: Can't pickle