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48 lines
1.3 KiB
48 lines
1.3 KiB
import re
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from collections import Counter
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# 清洗文本，移除标点符号并转换为小写
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def clean_text(text):
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return re.sub(r'[^\w\s]', '', text).lower()
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# 统计词频
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def count_frequencies(text):
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return Counter(word for word in clean_text(text).split())
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# 交互式提示用户输入文件路径和前n个单词的数量
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def interactive_mode():
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file_path = input("请输入文件路径 >> ")
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try:
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n = int(input("请输入你想要输出的前n个最常见单词的数量 >> "))
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if n <= 0:
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raise ValueError("数量必须大于0。")
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except ValueError as e:
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print(f"输入错误：{e}")
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return
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try:
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# 打开文件并读取内容
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with open(file_path, 'r', encoding='utf-8') as file:
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text = file.read()
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# 统计词频
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frequencies = count_frequencies(text)
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# 获取前n个最常见的单词
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most_common = frequencies.most_common(n)
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# 输出结果
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for word, freq in most_common:
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print(f"{word}: {freq}")
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except FileNotFoundError:
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print(f"文件未找到: {file_path}")
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except Exception as e:
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print(f"发生错误: {e}")
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# 主函数
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def main():
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print("欢迎使用词频统计工具。")
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interactive_mode()
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if __name__ == "__main__":
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main() |