pickle

问题 I have this file which contains python pickle data stream. I've to read contents of this file in Android. For example, if I wanted to read this data stream in python, I'd just use the following code queue = pickle.load(open('filename', 'rb')) I want to achieve same thing in Android such that I can read this pickle stream data and store it in some kind of collection. How can I achieve this? 回答1: UPDATE: This only works for pickle protocols 2 and 3 . I think the Unpickler class from Pyrolite

问题 I'm new to the PySpark environment and came across an error while trying to encrypt data in an RDD with the cryptography module. Here's the code: from pyspark.sql import SparkSession spark = SparkSession.builder.appName('encrypt').getOrCreate() df = spark.read.csv('test.csv', inferSchema = True, header = True) df.show() df.printSchema() from cryptography.fernet import Fernet key = Fernet.generate_key() f = Fernet(key) dfRDD = df.rdd print(dfRDD) mappedRDD = dfRDD.map(lambda value: (value[0],

问题 How can I pickle a python object which contains lambdas? Can't pickle local object 'BaseDiscretizer.__init__.<locals>.<lambda>' is the error I get when trying to pickle https://github.com/marcotcr/lime/blob/97a1e2d7c1adf7b0c4f0d3b3e9b15f6197b75c5d/lime/discretize.py when pickling the https://github.com/marcotcr/lime/blob/2703bcdcddd135947fe74e99cc270aa4fac3263a/lime/lime_tabular.py#L88 LimeTabularExplainer 回答1: The standard pickle module cannot serialize lambdas, but there is a third party

问题 How can I save a scipy.stats distribution? For example: a = [scipy.stats.norm(0,1), scipy.stats.norm(0,2)] with open("distro.pickle", 'w') as f: pickle.dump(a, f) Doing this I get a TypeError: can't pickle instancemethod objects 回答1: They do not support pickling. The easier way to "solve" your problem is to pickle the arguments and, when unpickling, create a new object: >>> from collections import namedtuple >>> Norm = namedtuple('Norm', 'mu variance') >>> def pickle_norm(n): ... return

问题 I am trying to load a pkl dump of my classifier from sklearn-learn. The joblib dump does a much better compression than the cPickle dump for my object so I would like to stick with it. However, I am getting an error when trying to read the object from AWS S3. Cases: Pkl object hosted locally: pickle.load works, joblib.load works Pkl object pushed to Heroku with app (load from static folder): pickle.load works, joblib.load works Pkl object pushed to S3: pickle.load works, joblib.load returns

问题 I've download the start code from here: http://goo.gl/Tcxkod and followed the instructions and installed the sample.py from here https://developers.google.com/api-client-library/python/start/installation: alvas@ubi:~/git/UniversalCorpus/drive-cmd-line-sample$ python sample.py Success! Now add code here. But how do I dump pickle/json files onto the drive and then retrieve it to read from python? I clicked on the dev documentation and there's no clue other than the repr and source code itself:

问题 I tried to Google but cannot find an answer. If I just do c = pickle.load(open(fileName, 'r')) Will the file be automatically closed after this operation? 回答1: No, but you can simply adapt it to close the file: # file not yet opened with open(fileName, 'r') as f: # file opened c = pickle.load(f) # file opened # file closed What with statement does, is (among other things) calling __exit__() method of object listed in with statement (in this case: opened file), which in this case closes the

问题 I am trying to dump a dictionary into pickle format, using 'dump' command provided in python. The file size of the dictionary is around 150 mb, but an exception occurs when only 115 mb of the file is dumped. The exception is: Traceback (most recent call last): File "C:\Python27\generate_traffic_pattern.py", line 32, in <module> b.dump_data(way_id_data,'way_id_data.pickle') File "C:\Python27\class_dump_load_data.py", line 8, in dump_data pickle.dump(data,saved_file) File "C:\Python27\lib

问题 Here is the code I have: import pickle alist = ['here', 'there'] c = open('config.pck', 'w') pickle.dump(alist, c) and this is the error I receive: Traceback (most recent call last): File "C:\pickle.py", line 1, in ? import pickle File "C:\pickle.py", line 6, in ? pickle.dump(alist, c) AttributeError: 'module' object has no attribute 'dump' whats going on? I am using python 2.4 on windows xp 回答1: Don't call your file pickle.py. It conflicts with the python standard libary module of the same

问题 After a class definition is updated by recompiling a script, pickle refuses to serialize previously instantiated objects of that class, giving the error: "Can't pickle object: it's not the same object as " Is there a way to tell pickle that it should ignore such cases? To just identify classes by name, ignore whichever internal unique ID is causing the mismatch? I would definitely welcome as an answer the suggestion of an alternative, equivalent module which solves this problem in a