我在python中有一些数据作为数组,如下所示:
train = [("Great place to be when you are in Bangalore.", "pos"),
("The place was being renovated when I visited so the seating was limited.", "neg"),
("Loved the ambience, loved the food", "pos"),
("The food is delicious but not over the top.", "neg"),
("Service - Little slow, probably because too many people.", "neg"),
("The place is not easy to locate", "neg"),
("Mushroom fried rice was spicy", "pos"),
("Cocee was hot and spicy", "neg")
]
我想从文件中读取这些数据。所以我创建了一个文本文件并将数据复制到其中。
现在,当我使用以下代码从文本文件中读取时:
train = []
text_file = open("testdata.txt", "r")
train = text_file.readlines()
text_file.close()
train
有8个项目由文本文档中的每一行分割。我希望它与我在python代码中提供的数据相同。请帮忙。提到的重复问题没有回答我的问题。
答案 0 :(得分:0)
这应该有所帮助。使用ast
模块
import ast
text_file = open("testdata.txt", "r")
train = text_file.read()
text_file.close()
print(ast.literal_eval(train.replace("train = ", "")))
<强>输出:强>
[('Great place to be when you are in Bangalore.', 'pos'), ('The place was being renovated when I visited so the seating was limited.', 'neg'), ('Loved the ambience, loved the food', 'pos'), ('The food is delicious but not over the top.', 'neg'), ('Service - Little slow, probably because too many people.', 'neg'), ('The place is not easy to locate', 'neg'), ('Mushroom fried rice was spicy', 'pos'), ('Cocee was hot and spicy', 'neg')]
答案 1 :(得分:-1)
使用json库
# reading
with open('dump.txt', 'r') as f:
a = [tuple(x) for x in json.load(f)]
# writing
with open('dump.txt', 'w') as f:
a = json.dump(f)