Question

我正在使用Python 2.7并尝试将一个浮点值插入一个键。但是，所有值都插入为0.0。极性值插入为0.0而不是实际值。

代码段：

from textblob import TextBlob
import json
with open('new-webmd-answer.json') as data_file:
data = json.load(data_file, strict=False)
data_new = {}
lst = []
for d in data:
   string =  d["answerContent"]
   blob = TextBlob(string)
#print blob
#print blob.sentiment
#print d["questionId"]
   data_new['questionId'] = d["questionId"]

   data_new['answerMemberId'] = d["answerMemberId"]
   string1 = str(blob.sentiment.polarity)
   print string1
   data_new['polarity'] = string1
#print blob.sentiment.polarity
   lst.append((data_new))




json_data = json.dumps(lst)

#print json_data
with open('polarity.json', 'w') as outfile:
   json.dump(json_data, outfile)

Answer 1

当前编写代码的方式，每次迭代都会覆盖字典。然后，您将该字典多次附加到列表中。

假设您的词典为dict = {"a" : 1}，然后将其附加到列表

alist.append(dict)

alist

[{'a'：1}]

然后更改dict的值dict{"a" : 0}并再次将其附加到列表中alist.append(dict)

alist

[{'a'：0}，{'a'：0}]

这是因为字典是可变的。有关可变对象和不可变对象的更完整概述，请参阅文档here

要实现预期输出，请在每次迭代data

时创建一个新字典

lst = []
for d in data:
    data_new = {} # makes a new dictionary with each iteration
    string = d["answerContent"]
    blob = TextBlob(string)
    # print blob
    # print blob.sentiment
    # print d["questionId"]
    data_new['questionId'] = d["questionId"]

    data_new['answerMemberId'] = d["answerMemberId"]
    string1 = str(blob.sentiment.polarity)
    print string1
    data_new['polarity'] = string1
    # print blob.sentiment.polarity
    lst.append((data_new))

Python 2.7字典值不以float作为输入

1 个答案: