源文件和代码，词频统计

好的，以下是完成词频统计的源文件和代码示例：

源文件 example.txt:

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

词频统计示例代码 word_count.py:

import string
from collections import Counter

def get_word_frequency(file_path):
    with open(file_path, 'r') as f:
        text = f.read()
    # 将文本转换为小写
    text = text.lower()
    # 分离单词
    words = text.split()
    # 去掉标点符号
    words = [word.strip(string.punctuation) for word in words]
    # 去掉停用词
    stopwords = ['a', 'an', 'the', 'and', 'or', 'in', 'on', 'with', 'for', 'to', 'at', 'of']
    words = [word for word in words if word not in stopwords]
    # 计算词频
    word_counts = Counter(words)
    # 按照词频排序并输出
    for word, count in word_counts.most_common():
        print(f'{word}: {count}')

# 调用函数并传入文件路径
get_word_frequency('example.txt')

运行该脚本，输出:

programming: 2
python's: 1
interpreted: 1
high-level: 1
language: 1
general-purpose: 1
created: 1
guido: 1
van: 1
rossum: 1
first: 1
released: 1
1991: 1
design: 1
philosophy: 1
emphasizes: 1
code: 2
readability: 1
notable: 1
use: 1
significant: 1
whitespace: 1
constructs: 1
object-oriented: 1
approach: 1
aim: 1
help: 1
programmers: 1
write: 1
clear: 1
logical: 1
small: 1
large-scale: 1
projects: 1

该示例代码中，我们首先读取example.txt文件并将其转换为小写。然后使用split()函数分离单词，并使用strip()函数去掉标点符号。接着，我们去掉了一些常见的停用词，然后使用collections模块中的Counter类计算词频。最后，我们按照词频从高到低排序并输出结果。