编写python程序，统计工作报告热词频率，并生成词云

要统计工作报告热词频率并生成词云，我按以下步骤操作：

1. 读取工作报告文本文件。
2. 对文本进行分词处理。
3. 统计每个词的出现频率。
4. 生成词云图。

下面是实现该功能的 Python 代码：

import jieba
from collections import Counter
from wordcloud import WordCloud
import matplotlib.pyplot as plt


def read_text(file_path):
    try:
        with open(file_path, 'r', encoding='utf-8') as file:
            text = file.read()
        return text
    except FileNotFoundError:
        print(f"错误：未找到文件 {file_path}")
        return None
    except Exception as e:
        print(f"错误：读取文件时发生未知错误 {e}")
        return None


def tokenize_text(text):
    words = jieba.lcut(text)
    return words


def count_word_frequency(words):
    word_count = Counter(words)
    return word_count


def generate_wordcloud(word_count):
    wordcloud = WordCloud(font_path='simhei.ttf', background_color='white').generate_from_frequencies(word_count)
    plt.figure(figsize=(8, 8))
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.axis('off')
    plt.show()


if __name__ == "__main__":
    file_path = 'government_report.txt'
    text = read_text(file_path)
    if text:
        words = tokenize_text(text)
        word_count = count_word_frequency(words)
        generate_wordcloud(word_count)