我尝试这样处理namedtuple:
def f():
TemplateData = namedtuple('TemplateData', ['field1', 'field2'])
f1 = np.random.randn(50,50)
f2 = np.random.randn(50,50)
td = TemplateData(f1, f2)
return td
data = f()
with open("aaaa.pkl", "wb") as fl:
pkl.dump(data, fl)但这是由于错误而崩溃:
PicklingError: Can't pickle <class '__main__.TemplateData'>: it's not the same object as __main__.TemplateData怎么了?如果pickle不是存储命名元组的最佳方式-那么最有效的方式是什么?
发布于 2019-02-23 09:11:13
您需要在函数外部定义命名元组,并将命名元组的名称更改为TemplateData。
TemplateData = namedtuple('TemplateData', ['field1', 'field2'])
f1 = np.random.randn(50,50)
f2 = np.random.randn(50,50)
model_cluster = TemplateData(f1, f2)
with open("aaaa.pkl", "wb") as fl:
pkl.dump(model_clusters_dict, fl)https://stackoverflow.com/questions/54837176
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