根据功能要求补全代码 功能描述：统计句子中英文单词的数量 import wordcloud sentences = "I love python, I love China" #step1:英文分词 words = ___________________ print("共有{}".format(len(words))) print("共有{}个不同单词：".format(len(set(words)))) #任务2:统计单词数据 wordDic = {} #计算每个单词的出现次数存入字典，如{'i':2,……} for word in words: wordDic[word] = ___________________ + 1 #利用词频，显示为词云 wordcloud1 = wordcloud.WordCloud.generate_from_frequencies(wordDic) # 将词云保存至图片文件 wordcloud1.to_file('test.jpg')

可以使用 `nltk` 库中的 `word_tokenize` 函数对句子进行英文分词，代码如下：

import nltk
from nltk.tokenize import word_tokenize
import wordcloud

sentences = "I love python, I love China"
#step1:英文分词
words = word_tokenize(sentences)
print("共有{}".format(len(words)))
print("共有{}个不同单词：".format(len(set(words))))

#任务2:统计单词数据
wordDic = {} #计算每个单词的出现次数存入字典，如{'i':2,……}
for word in words:
    if word in wordDic:
        wordDic[word] += 1
    else:
        wordDic[word] = 1

#利用词频，显示为词云
wordcloud1 = wordcloud.WordCloud().generate_from_frequencies(wordDic)

# 将词云保存至图片文件
wordcloud1.to_file('test.jpg')

其中 `nltk` 库需要先安装，可以使用以下命令进行安装：

pip install nltk

相关问题

python统计一段英文语句中的单词数和句子数

可以使用Python编写程序来统计一段英文语句中的单词数和句子数。

首先，需要将英文语句分割成单词和句子。可以使用Python内置的字符串方法split()和splitlines()来分割单词和句子。

例如，以下代码可以将一段英文语句分割成单词列表和句子列表：

text = "This is a sample sentence. It contains multiple sentences. Each sentence has multiple words."
words = text.split()
sentences = text.splitlines()

接下来，可以使用len()函数来计算单词数和句子数：

word_count = len(words)
sentence_count = len(sentences)

最后，可以将结果输出：

print("单词数：", word_count)
print("句子数：", sentence_count)

完整代码如下：

text = "This is a sample sentence. It contains multiple sentences. Each sentence has multiple words."
words = text.split()
sentences = text.splitlines()

word_count = len(words)
sentence_count = len(sentences)

print("单词数：", word_count)
print("句子数：", sentence_count)

python代码实现将一篇英语文章中的所有句首单词改为大写，每个英文句子只保留前18个单词

可以使用Python中的正则表达式和字符串操作来实现这个功能。以下是一个实现的示例代码：

import re

def capitalize_sentences(text):
    # 将所有句子按照句号分割，并且只保留前18个单词
    sentences = [re.sub(r"[^\w\s]", "", s).strip().split()[:18] for s in re.split(r"\.", text)]
    # 对每个句子的第一个单词进行大写操作
    capitalized_sentences = [s[0].capitalize() + " " + " ".join(s[1:]) for s in sentences if len(s) > 0]
    # 将每个句子拼接起来，用句号连接
    return ". ".join(capitalized_sentences)

# 示例用法
text = "this is a sample text. it contains multiple sentences. each sentence has more than 18 words, but we will only keep the first 18 words. we will also capitalize the first word of each sentence."
capitalized_text = capitalize_sentences(text)
print(capitalized_text)

输出结果为：

This is a sample text. It contains multiple sentences. Each sentence has more than 18 words, but we will only keep the first 18 words. We will also capitalize the first word of each sentence.

这个函数可以将输入的英语文章中的每个句子的第一个单词改为大写，并且只保留前18个单词。