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import matplotlib.pyplot as plt
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import seaborn as sns
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import numpy as np
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# 设置中文字体
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plt.rcParams['font.sans-serif'] = ['SimHei', 'Arial Unicode MS', 'DejaVu Sans']
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plt.rcParams['axes.unicode_minus'] = False
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# 合并后的数据
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before = {
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'Total Lines': 12066,
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'Source Code Lines': 8701,
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'Comment Lines': 1638,
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'Blank Lines': 1727,
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'Source Code %': 72.1,
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'Comment %': 13.6,
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'Blank %': 14.3
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}
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after = {
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'Total Lines': 23926,
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'Source Code Lines': 16122,
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'Comment Lines': 5145,
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'Blank Lines': 2659,
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'Source Code %': 67.4,
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'Comment %': 21.5,
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'Blank %': 11.1
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}
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# 设置新的配色方案
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colors = {
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'before': '#2E86AB', # 深蓝色
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'after': '#F24236', # 红色
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'pie': ['#2E86AB', '#F7B733', '#FC4A1A'] # 饼图配色
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}
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# 图1：柱状图
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fig, ax = plt.subplots(figsize=(12, 6))
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categories = ['总行数', '代码行数', '注释行数', '空白行数']
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before_values = [before['Total Lines'], before['Source Code Lines'],
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before['Comment Lines'], before['Blank Lines']]
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after_values = [after['Total Lines'], after['Source Code Lines'],
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after['Comment Lines'], after['Blank Lines']]
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x = np.arange(len(categories))
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width = 0.35
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# 创建柱状图
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rects1 = ax.bar(x - width/2, before_values, width, label='维护前',
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color=colors['before'], alpha=0.8)
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rects2 = ax.bar(x + width/2, after_values, width, label='维护后',
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color=colors['after'], alpha=0.8)
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# 美化
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ax.set_ylabel('行数')
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ax.set_title('代码行数对比')
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ax.set_xticks(x)
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ax.set_xticklabels(categories)
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ax.legend()
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# 添加数值标签
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def autolabel(rects):
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for rect in rects:
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height = rect.get_height()
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ax.annotate(f'{int(height):,}',
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xy=(rect.get_x() + rect.get_width() / 2, height),
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xytext=(0, 3), # 3 points vertical offset
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textcoords="offset points",
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ha='center', va='bottom')
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autolabel(rects1)
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autolabel(rects2)
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plt.grid(True, axis='y', alpha=0.3)
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plt.tight_layout()
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plt.savefig('合并数据柱状图.png', dpi=300, bbox_inches='tight')
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plt.close()
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# 图2：饼图对比
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fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6))
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categories_percent = ['代码比例', '注释比例', '空白比例']
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before_percent = [before['Source Code %'], before['Comment %'], before['Blank %']]
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after_percent = [after['Source Code %'], after['Comment %'], after['Blank %']]
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# 绘制饼图
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def make_autopct(values):
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def my_autopct(pct):
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total = sum(values)
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val = int(round(pct*total/100.0))
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return f'{pct:.1f}%'
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return my_autopct
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ax1.pie(before_percent, labels=categories_percent, colors=colors['pie'],
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autopct=make_autopct(before_percent), startangle=90)
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ax1.set_title('维护前')
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ax2.pie(after_percent, labels=categories_percent, colors=colors['pie'],
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autopct=make_autopct(after_percent), startangle=90)
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ax2.set_title('维护后')
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plt.suptitle('代码构成比例对比')
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plt.tight_layout()
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plt.savefig('合并数据饼状图.png', dpi=300, bbox_inches='tight')
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plt.close()
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