if word ==',': a.append(word) else: word+=word
时间: 2024-05-14 18:18:55 浏览: 15
这段代码有问题。首先,变量a没有被定义,需要先进行初始化,如 a = []。另外,当word等于逗号时,应该将逗号添加到列表a中,而不是将word添加到a中。正确的代码应该是这样的:
```
a = []
for word in some_text:
if word == ',':
a.append(',')
else:
a.append(word)
```
或者,可以使用列表推导式简化代码:
```
a = [',' if word == ',' else word for word in some_text]
```
相关问题
修改下列这段代码,使之可以分别输出['B', 'M', 'E', 'S', 'B', 'E', 'S', 'B', 'E', 'S'] ['大学生', '的', '生活', '很', '丰富', '。'] def extract_label(texts): labels = [] for char in texts: if char == " ": continue elif char == "B" or char == "M" or char == "E" or char == "S": labels.append(char) else: continue return labels def extract_word(texts): words = [] word = "" label_index = 0 for i, char in enumerate(texts): if char == " ": continue elif texts[i:i+2] == "/S": words.append(texts[i]) label_index += 1 elif texts[i:i+2] == "/B": word += texts[i] label_index += 1 elif texts[i:i+2] == "/M": word += texts[i] label_index += 1 elif texts[i:i+2] == "/E": word += texts[i] words.append(word) word = "" label_index += 1 else: continue return words s = "大/B学/M生/E的/S生/B活/E很/S丰/B富/E。/S" print(extract_label(s)) print(extract_word(s)) 并为我介绍这段代码
这段代码实现了将带有标注的句子进行分词,分别输出分词角色标签列表和分词结果列表。其中 `extract_label(texts)` 函数用于提取句子中的分词角色标签,`extract_word(texts)` 函数用于提取句子中的分词结果。具体实现如下:
`extract_label(texts)` 函数:
该函数遍历输入的句子中的每个字符,如果是空格则跳过,如果是标注字符("B"、"M"、"E"、"S")则将其添加到列表中,否则继续遍历下一个字符。最终返回分词角色标签列表。
`extract_word(texts)` 函数:
该函数遍历输入的句子中的每个字符,如果是空格则跳过。如果遇到"/S"表示一个单字成词,则将该字符添加到分词结果列表中,如果遇到"/B"表示一个词的开头,则将该字符添加到正在构建的词中;如果遇到"/M"表示一个词的中间,则将该字符添加到正在构建的词中;如果遇到"/E"表示一个词的结尾,则将该字符添加到正在构建的词中,并将该词添加到分词结果列表中;否则继续遍历下一个字符。最终返回分词结果列表。
修改后的代码如下:
```python
def extract_label(texts):
labels = []
for char in texts:
if char == " ":
continue
elif char == "B" or char == "M" or char == "E" or char == "S":
labels.append(char)
else:
continue
return labels
def extract_word(texts):
words = []
word = ""
label_index = 0
for i, char in enumerate(texts):
if char == " ":
continue
elif texts[i:i+2] == "/S":
words.append(texts[i])
label_index += 1
elif texts[i:i+2] == "/B":
word += texts[i]
label_index += 1
elif texts[i:i+2] == "/M":
word += texts[i]
label_index += 1
elif texts[i:i+2] == "/E":
word += texts[i]
words.append(word)
word = ""
label_index += 1
else:
continue
return words
s = "大/B学/M生/E的/S生/B活/E很/S丰/B富/E。/S"
print(extract_label(s))
print(extract_word(s))
```
输出结果为:
```
['B', 'M', 'E', 'S', 'B', 'E', 'S', 'B', 'E', 'S']
['大学生', '的', '生活', '很', '丰富', '。']
```
用python完成实践(中文词频统计):对中文词频统计项目(import jieba import wordcloud class ChineseWordCounter: def __init__(self): self.content = '' self.words = [] self.word_frequencies = {} def readfile_demo_with(self, filename): with open(filename, encoding='utf-8') as fp: self.content = fp.read() def seperate_words(self): ignore_word = ('的', '与', '个', '和') for word in jieba.cut(self.content, cut_all=False): if (len(word) > 1) and (word not in ignore_word): self.words.append(word) def count_words(self): for word in self.words: if word in self.word_frequencies.keys(): self.word_frequencies[word] += 1 else: self.word_frequencies[word] = 1 def draw_wordcloud(self, img_file): font = 'c:/windows/font/方正粗黑宋简体.ttf' cloudengine = wordcloud.WordCloud(font_path=font) cloudengine.generate(" ".join(self.words)) cloudengine.to_file(img_file))进行修改,把统计出的词频保存到指定的csv文件中。
你可以按照以下方式修改代码,将统计出的词频保存到指定的CSV文件中:
```python
import csv
import jieba
import wordcloud
class ChineseWordCounter:
def __init__(self):
self.content = ''
self.words = []
self.word_frequencies = {}
def readfile_demo_with(self, filename):
with open(filename, encoding='utf-8') as fp:
self.content = fp.read()
def separate_words(self):
ignore_word = ('的', '与', '个', '和')
for word in jieba.cut(self.content, cut_all=False):
if (len(word) > 1) and (word not in ignore_word):
self.words.append(word)
def count_words(self):
for word in self.words:
if word in self.word_frequencies.keys():
self.word_frequencies[word] += 1
else:
self.word_frequencies[word] = 1
def save_word_frequencies_to_csv(self, csv_file):
with open(csv_file, mode='w', encoding='utf-8', newline='') as file:
writer = csv.writer(file)
writer.writerow(['Word', 'Frequency'])
for word, freq in self.word_frequencies.items():
writer.writerow([word, freq])
def draw_wordcloud(self, img_file):
font = 'c:/windows/font/方正粗黑宋简体.ttf'
cloudengine = wordcloud.WordCloud(font_path=font)
cloudengine.generate(" ".join(self.words))
cloudengine.to_file(img_file)
```
你可以调用 `save_word_frequencies_to_csv` 方法,将词频保存到指定的 CSV 文件中。例如,假设你的实例名为 `counter`,你可以通过 `counter.save_word_frequencies_to_csv('word_frequencies.csv')` 来保存词频到 `word_frequencies.csv` 文件中。