Python 类型错误：不能pickle 生成器对象
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TypeError: can't pickle generator objects
提问by nlper
I am trying to write some result on to pickle file as below:
我正在尝试将一些结果写入泡菜文件，如下所示：
raw_X = (self.token_ques(text) for text in training_data)
with open('/root/Desktop/classifier_result.pkl', 'wb') as handle:
pickle.dump(raw_X, handle)
Error:
错误：
raise TypeError, "can't pickle %s objects" % base.__name__
TypeError: can't pickle generator objects
Any help would be much appreciable.
任何帮助将是非常可观的。
回答by Martijn Pieters
Don't use a generator expression when you want to pickle data. Use a list comprehension instead, or call list()on the generator to capture all generated elements for pickling.
当您想要腌制数据时，不要使用生成器表达式。改用列表理解，或调用list()生成器来捕获所有生成的元素以进行酸洗。
For example, the following works just fine:
例如，以下工作正常：
raw_X = [self.token_ques(text) for text in training_data]
with open('/root/Desktop/classifier_result.pkl', 'wb') as handle:
pickle.dump(raw_X, handle)
as does:
就像：
raw_X = (self.token_ques(text) for text in training_data)
with open('/root/Desktop/classifier_result.pkl', 'wb') as handle:
pickle.dump(list(raw_X), handle)
回答by ForceBru
raw_X = (self.token_ques(text) for text in training_data)
This is a generator. As the error says, we cannot pickle generators. Use this instead.
这是一个发电机。正如错误所说，我们不能pickle 生成器。改用这个。
raw_X=[]
for text in data:
raw_X.append(self.token_ques(text))
raw_X=tuple(raw_X)
And pickle raw_Xthen.
然后腌制raw_X。
Edit
编辑
This works for me
这对我有用
import pickle
raw_X=[]
data=[1,2,3,4,5,6,2,0]
for text in data:
raw_X.append(str(text))
print pickle.dumps(raw_X)
I'm using str()instead of your function and dumps()instead of dump().
我正在使用str()而不是你的函数而dumps()不是dump().
