方法一

使用pickle
把对象保存成.pkl文件

import pickle
def save_obj(obj, name ):
    with open('obj/'+ name + '.pkl', 'wb') as f:
        pickle.dump(obj, f, pickle.HIGHEST_PROTOCOL)

def load_obj(name ):
    with open('obj/' + name + '.pkl', 'rb') as f:
        return pickle.load(f)

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方法二

使用numpy

把字典对象保存成.npy文件

import numpy as np

# Save
dictionary = {'hello':'world'}
np.save('my_file.npy', dictionary) 

# Load
read_dictionary1 = np.load('my_file.npy',allow_pickle=True)
print(type(read_dictionary1))
print(read_dictionary1)
read_dictionary2 = np.load('my_file.npy',allow_pickle=True).item()
print(read_dictionary2['hello']) # displays "world"

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如果不加.item()的话读取到的是原始的np.array数据是不能直接使用的

把列表对象保存成.npy文件

import numpy as np
# Save
np.save('my_file.npy',[1,2,3,[1,2,3]])
# Load
data = np.load('my_file.npy',allow_pickle=True)
print(data)
print(type(data))
print(list(data))
print(data.tolist())

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