pickle与cpickle的用法
將對象序列化(保存的意思)和反序列化(讀取的意思)
cpickle是pickle的C語言編譯版本
下面是dump和load的用法
import pickle ?
favorite_color = { "lion": "yellow", "kitty": "red" } ?
pickle.dump( favorite_color, open( "save.p", "wb" ) ) ?
import pickle ?
favorite_color = pickle.load( open( "save.p", "rb" ) ) ?
print"favorite_color=",favorite_color
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下面是dumps和loads的用法:
import cPickle as pickle
origin = ('this is a string', 42, [1, 2, 3], None)
print origin
print"##########################################################################################"
p1 = pickle.dumps(origin)
print "p1=",p1
t1 = pickle.loads(p1)
print"t1=",t1
print"##########################################################################################"
p2 = pickle.dumps(origin, True)
print p2
t2 = pickle.loads(p2)
print"t2=",t2
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
涉及文件的序列化與反序列化
import cPickle
data = range(1000)
cPickle.dump(data,open("./data.pkl","wb"))?
data = cPickle.load(open("./data.pkl","rb"))
print"data=",data
print"#######################################################"
data_string = cPickle.dumps(data)
data = cPickle.loads(data_string)
print"data=",data
總結:
dumps和loads是處理字符串的
dump和load是涉及到處理字符串并且與文件進行交互的。
總結
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