Question

我正在使用Python的NLP库-Spacy。我正在尝试替换文章中的名词块。名词块看起来像这样：“最安全的面部识别”。我想用这样的东西代替它们：“ the_most_secure_facial_recognition”（下划线而不是空格）

所以我写了这段代码：

import spacy

nlp = spacy.load('en_core_web_md')

data =  "In the end, the notch was a relatively useless design trend for Android phones, and consumers were left " \
        "wanting. The hole-punch camera seems to be a better answer. Here's a new idea that looks genuinely futuristic " \
        "and hasn't been pulled off by Apple yet. It's an admission that Face ID is difficult to clone, a hole-punch " \
        "won't include all the fancy sensors required for the most secure facial recognition, but consumers probably " \
        "don't care that much, anyway. There's always a fingerprint sensor, after all."

doc = nlp(data)

# doc2 = doc.text
doc2 = str(doc)

for nc in doc.noun_chunks:
    old_nc = str(nc)
    new_nc = old_nc.replace(' ', '_')
    print(old_nc)
    print(new_nc)
    doc2.replace(old_nc, new_nc)

print(doc2)

当我运行它时，doc2中什么也不会被替换。我在做错什么吗？

Answer 1

replace不会修改现有字符串，而是返回一个新字符串。

所以这行不通：

doc2.replace(old_nc, new_nc)

但这会：

doc2 = doc2.replace(old_nc, new_nc)

这是相关文档：

str.replace（旧，新[，计数]）

返回该字符串的副本，其中所有出现的子字符串old都被new替换。如果指定了可选的参数count，则仅替换第一个出现的计数。

https://docs.python.org/3/library/stdtypes.html#str.replace

蟒蛇。 Replace（）不替换任何东西

1 个答案: