import re text = "Hello, world! This is a sample text. Hello, again!" word_pattern = re.compile(r'\b\w+\b') words = word_pattern.findall(text.lower()) word_frequency = {} for word in words: if word in word_frequency: word_frequency[word] += 1 else: word_frequency[word] =...
text = "Python is great. Python is dynamic. Python is easy to learn." text = text.lower().translate(str.maketrans('', '', string.punctuation)) words = text.split() 2. 统计单词出现次数 接下来,我们使用count方法统计每个单词出现的次数: word_counts = {word: words.count(word) for word ...
words = text.split()这将把文本按照空格分割成一个单词列表。第三步：计数 现在，我们已经得到了单词列表，接下来就可以统计文本中每个单词出现的次数了。可以使用 Python 中的字典来保存单词和频率的对应关系。代码如下：word_count = {} for word in words:if word not in word_count:word_count[word] = ...
Calculate word counts in a text file! Installation $ pip install pycountwords Usage pycountwords can be used to count words in a text file and plot results as follows: from pycountwords.pycountwords import count_words from pycountwords.plotting import plot_words import matplotlib.pyplot as pl...
python from collections import Counter words = ["apple", "banana", "apple", "orange", "banana", "apple"] word_counts = Counter(words) print(word_counts) # 输出: Counter({'apple': 3, 'banana': 2, 'orange': 1}) print(word_counts["apple"]) # 输出: 3 4. 自定义count函数 你...
Python之words count 要求: 对文件单词进行统计,不区分大小写,并显示单词重复最多的十个单词 思路: 利用字典key,value的特性存单词及其重复的次数 每行进行特殊字符的处理,分离出被特殊字符包含的单词 defmakekey(s:str)->list: lst=[] s_complex= set(r"""!`#.,-*()\/[]*""") #利用集合装置特殊...
Python | Counting word occurrence: Here, we are going to learn how to find the occurrence of a word in the given text/paragraph in Python programming language? By IncludeHelp Last updated : February 25, 2024 Problem statementGiven a text (paragraph) and a word whose occurrence to be ...
= text.lower().split() # 使用 Counter 统计每个单词出现的次数 word_counts = Counter(words) ...
words = text.split() names = ['Alice', 'Bob', 'Charlie', 'David', 'Emma'] for name in names: count = words.count(name) print(name + ': ' + str(count)) 全选代码 复制 在上面的代码中,我们使用with语句打开一个名为names.txt的文件,并将其读取到变量text中。然后,我们将text转换为字符...
words = text.split() frequency = {} for word in words: if word in frequency: frequency[word] += 1 else: frequency[word] = 1 print(frequency["Python"]) # 输出: 2 这种方法适用于需要对统计结果进行进一步处理或分析的场景。 六、总结 ...