pickle

Python3 json和pickle序列化

由 被刻印的时光 ゝ 提交于 2020-02-29 11:19:55
用于序列化的两个模块 json，用于字符串 和 python数据类型间进行转换 pickle，用于python特有的类型 和 python的数据类型间进行转换 Json模块提供了四个功能： dumps、dump、loads、load pickle模块提供了四个功能： dumps、dump、loads、load import pickle data = dict(k1=123, k2='hello') # pickle.dumps 将数据通过特殊的形式转换为只有python语言认识的字符串 p_str = pickle.dumps(data) print(p_str) # pickle.loads 将pickle字符串转换为原数据类型的数据 d = pickle.loads(p_str) for k in d: print ("%s ---> %s" % (k,d[k])) # pickle.dump 将数据通过特殊的形式转换为只有python语言认识的字符串，并写入文件 with open('result.pk','wb') as fp: pickle.dump(data,fp) with open('result.pk','rb') as fp: d = pickle.load(fp) print(type(d)) # <class 'dict'> import json j

cPickle.load() in python consumes a large memory

由 生来就可爱ヽ(ⅴ＜●) 提交于 2020-02-29 07:40:19
问题 I have a large dictionary whose structure looks like: dcPaths = {'id_jola_001': CPath instance} where CPath is a self-defined class: class CPath(object): def __init__(self): # some attributes self.m_dAvgSpeed = 0.0 ... # a list of CNode instance self.m_lsNodes = [] where m_lsNodes is a list of CNode: class CNode(object): def __init__(self): # some attributes self.m_nLoc = 0 # a list of Apps self.m_lsApps = [] Here, m_lsApps is a list of CApp, which is another self-defined class: class CApp

cPickle.load() in python consumes a large memory

由 有些话、适合烂在心里 提交于 2020-02-29 07:40:07
问题 I have a large dictionary whose structure looks like: dcPaths = {'id_jola_001': CPath instance} where CPath is a self-defined class: class CPath(object): def __init__(self): # some attributes self.m_dAvgSpeed = 0.0 ... # a list of CNode instance self.m_lsNodes = [] where m_lsNodes is a list of CNode: class CNode(object): def __init__(self): # some attributes self.m_nLoc = 0 # a list of Apps self.m_lsApps = [] Here, m_lsApps is a list of CApp, which is another self-defined class: class CApp

how to save chatbot model using pickle

由 ⅰ亾dé卋堺 提交于 2020-02-25 04:01:41
问题 i have created a Chatbot using chatterbot and tkinter library. but whenever i open the file it starts the training model and takes a lot of time so for solution i searched and find the pickle module. But now i also tried pickle its not working and shows me error. is there any way to save the model that will not start training everytime. here is my code import chatterbot import pickle from chatterbot import ChatBot from chatterbot.trainers import ListTrainer import os import tkinter as tk try:

how to save chatbot model using pickle

由 强颜欢笑 提交于 2020-02-25 04:01:33
问题 i have created a Chatbot using chatterbot and tkinter library. but whenever i open the file it starts the training model and takes a lot of time so for solution i searched and find the pickle module. But now i also tried pickle its not working and shows me error. is there any way to save the model that will not start training everytime. here is my code import chatterbot import pickle from chatterbot import ChatBot from chatterbot.trainers import ListTrainer import os import tkinter as tk try:

Not able to pip install pickle in python 3.6

由 限于喜欢 提交于 2020-02-20 06:28:32
问题 I am trying to run the below code:- import bs4 as bs import pickle import requests import lxml def save_sp500_tickers(): resp = requests.get("https://en.wikipedia.org/wiki/List_of_S%26P_500_companies") soup = bs.BeautifulSoup(resp.text, "html5lib") table = soup.find("table", { "class" : "wikitable sortable"}) # print(soup) # print(soup.table) tickers = [] for row in table.findAll("tr")[1:]: ticker = row.findAll("td")[0].text tickers.append(ticker) with open("sp500tickers.pickle","wb") as f:

Not able to pip install pickle in python 3.6

由 天大地大妈咪最大 提交于 2020-02-20 06:28:03
问题 I am trying to run the below code:- import bs4 as bs import pickle import requests import lxml def save_sp500_tickers(): resp = requests.get("https://en.wikipedia.org/wiki/List_of_S%26P_500_companies") soup = bs.BeautifulSoup(resp.text, "html5lib") table = soup.find("table", { "class" : "wikitable sortable"}) # print(soup) # print(soup.table) tickers = [] for row in table.findAll("tr")[1:]: ticker = row.findAll("td")[0].text tickers.append(ticker) with open("sp500tickers.pickle","wb") as f:

opening old xgboost pickles with the new xgboost version 'XGBClassifier' object has no attribute 'kwargs'

由 折月煮酒 提交于 2020-02-06 18:53:33
问题 I was using xgboost version 0.6 when I pickled some pickle objects. Now I upgraded to version 0.82 and when I'm trying to unpickle the old models I get: AttributeError: 'XGBClassifier' object has no attribute 'kwargs' I would really like to use these model without re training them, is there any way to open these pickles? 回答1: The new xgboost requires that objects will have a "kwargs" attribute, which old models do not have. One way to solve this is to downgrade to the old xgboost version,

opening old xgboost pickles with the new xgboost version 'XGBClassifier' object has no attribute 'kwargs'

由 馋奶兔 提交于 2020-02-06 18:51:13
问题 I was using xgboost version 0.6 when I pickled some pickle objects. Now I upgraded to version 0.82 and when I'm trying to unpickle the old models I get: AttributeError: 'XGBClassifier' object has no attribute 'kwargs' I would really like to use these model without re training them, is there any way to open these pickles? 回答1: The new xgboost requires that objects will have a "kwargs" attribute, which old models do not have. One way to solve this is to downgrade to the old xgboost version,

Load pickle file(comes from python3) in python2

由 扶醉桌前 提交于 2020-02-03 03:08:11
问题 I have a pickle file, with >>> with open("wikilinks.pickle", "rb") as f: ... titles, links = pickle.load(f) ... >>> len(titles) 13421 I can load it in python3. However, when I try to load it in python2, I get this message: Traceback (most recent call last): File "<stdin>", line 2, in <module> File "/usr/lib/python2.7/pickle.py", line 1378, in load return Unpickler(file).load() File "/usr/lib/python2.7/pickle.py", line 858, in load dispatch[key](self) File "/usr/lib/python2.7/pickle.py", line
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