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