248 lines
9.6 KiB
Python
248 lines
9.6 KiB
Python
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import pandas as pd
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import matplotlib.pyplot as plt
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from datetime import datetime
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import tkinter as tk
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from tkinter import filedialog
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import os
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import matplotlib.dates as mdates
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from jinja2 import Template
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from matplotlib import font_manager, rcParams
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class TemperatureDataAnalyzer:
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def __init__(self):
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self.data = None
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self.file_path = None
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self.timestamps = []
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self.temperatures = []
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self.statuses = []
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self._configure_chinese_font() # 配置中文字体，修复中文字符缺失警告
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def _configure_chinese_font(self):
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"""
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配置 Matplotlib 中文字体，避免中文字符缺失的警告。
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会尝试常见的中文字体并设置 axes.unicode_minus 为 False。
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"""
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try:
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# 常见中文字体候选（跨平台）
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candidates = [
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"Microsoft YaHei", "Microsoft YaHei UI", # Windows
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"SimHei", "SimSun", # Windows（黑体/宋体）
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"PingFang SC", "Heiti SC", # macOS
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"Noto Sans CJK SC", "Source Han Sans SC", "WenQuanYi Micro Hei", # Linux
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"Arial Unicode MS" # 覆盖广的 Unicode 字体
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]
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available = {f.name for f in font_manager.fontManager.ttflist}
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for name in candidates:
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if name in available:
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rcParams["font.sans-serif"] = [name]
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rcParams["axes.unicode_minus"] = False
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# 可选：打印使用的字体名称
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# print(f"使用中文字体: {name}")
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return
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# 如果没有找到常见中文字体，给出提示
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rcParams["axes.unicode_minus"] = False
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print("未检测到常见中文字体，图中中文可能无法正常显示。建议安装 'Noto Sans CJK SC' 或 'Microsoft YaHei'。")
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except Exception as e:
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print(f"中文字体配置失败: {e}")
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def select_file(self):
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"""手动选择CSV文件"""
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root = tk.Tk()
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root.withdraw() # 隐藏主窗口
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file_types = [("CSV files", "*.csv"), ("All files", "*.*")]
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self.file_path = filedialog.askopenfilename(title="选择温度数据CSV文件", filetypes=file_types)
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if not self.file_path:
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print("未选择文件，程序退出")
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return False
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return True
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def load_and_process_data(self):
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"""加载和处理数据"""
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try:
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# 读取CSV文件，无表头
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self.data = pd.read_csv(self.file_path, header=None)
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# 重命名列以便于引用
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self.data.columns = ['timestamp', 'temperature', 'status']
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# 转换时间戳格式（文本例如：10/29/2025 2:20:41 PM）
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self.data['datetime'] = pd.to_datetime(self.data['timestamp'], format='%m/%d/%Y %I:%M:%S %p')
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# 提取处理后的数据
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self.timestamps = self.data['datetime']
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self.temperatures = self.data['temperature']
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self.statuses = self.data['status']
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print(f"成功加载 {len(self.data)} 条记录")
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return True
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except Exception as e:
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print(f"数据处理错误: {e}")
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return False
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def create_scatter_plots(self):
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"""创建散点图"""
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fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10))
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# 温度散点图
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sc1 = ax1.scatter(self.timestamps, self.temperatures, c=self.temperatures,
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cmap='coolwarm', alpha=0.7, s=20)
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ax1.set_title('温度随时间变化趋势')
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ax1.set_ylabel('温度 (°C)')
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ax1.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
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ax1.grid(True, linestyle='--', alpha=0.7)
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ax1.tick_params(axis='x', rotation=45)
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plt.colorbar(sc1, ax=ax1, label="温度(°C)")
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# 状态散点图
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sc2 = ax2.scatter(self.timestamps, self.statuses, c=self.statuses,
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cmap='viridis', alpha=0.7, s=20)
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ax2.set_title('状态随时间变化')
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ax2.set_xlabel('时间')
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ax2.set_ylabel('状态值')
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ax2.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
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ax2.grid(True, linestyle='--', alpha=0.7)
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ax2.tick_params(axis='x', rotation=45)
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plt.colorbar(sc2, ax=ax2, label="状态值")
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plt.tight_layout()
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return fig
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def generate_statistics_report(self):
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"""生成统计报告"""
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stats = {
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'total_records': len(self.temperatures),
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'avg_temperature': round(self.temperatures.mean(), 2),
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'max_temperature': round(self.temperatures.max(), 2),
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'min_temperature': round(self.temperatures.min(), 2),
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'std_deviation': round(self.temperatures.std(), 2),
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'temp_range': round(self.temperatures.max() - self.temperatures.min(), 2),
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'start_time': self.timestamps.iloc[0].strftime('%Y-%m-%d %H:%M:%S'),
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'end_time': self.timestamps.iloc[-1].strftime('%Y-%m-%d %H:%M:%S'),
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'duration_hours': round((self.timestamps.iloc[-1] - self.timestamps.iloc[0]).total_seconds() / 3600, 2)
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}
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# 状态分布统计
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status_counts = self.statuses.value_counts().to_dict()
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stats['status_distribution'] = status_counts
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return stats
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def save_fig_to_html(self, fig, output_path):
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"""将图形保存为HTML"""
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import io
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import base64
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# 将图形转换为base64编码
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buf = io.BytesIO()
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fig.savefig(buf, format='png', dpi=150, bbox_inches='tight')
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buf.seek(0)
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img_str = base64.b64encode(buf.read()).decode('utf-8')
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buf.close()
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# HTML模板（修复了多余的 '}'）
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html_template = """
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<title>温度数据分析报告</title>
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<style>
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body { font-family: Arial, sans-serif; margin: 20px; }
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.header { background-color: #f0f0f0; padding: 15px; border-radius: 5px; }
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.section { margin-bottom: 30px; }
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.stats-table { width: 100%; border-collapse: collapse; }
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.stats-table th, .stats-table td { border: 1px solid #ddd; padding: 8px; text-align: left; }
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.stats-table th { background-color: #f2f2f2; }
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.image-container { text-align: center; margin: 20px 0; }
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h1, h2 { color: #333; }
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</style>
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</head>
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<body>
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<div class="header">
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<h1>温度数据分析报告</h1>
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<p><strong>数据文件:</strong> {{ file_name }}</p>
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<p><strong>生成时间:</strong> {{ generation_time }}</p>
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</div>
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<div class="section">
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<h2>数据概览</h2>
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<table class="stats-table">
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<tr><th>项目</th><th>数值</th></tr>
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{% for key, value in statistics.items() %}
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{% if key != 'status_distribution' %}
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<tr><td>{{ key.replace('_', ' ').title() }}</td><td>{{ value }}</td></tr>
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{% endif %}
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{% endfor %}
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</table>
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</div>
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<div class="section">
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<h2>状态分布</h2>
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<table class="stats-table">
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<tr><th>状态值</th><th>出现次数</th></tr>
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{% for status, count in statistics.status_distribution.items() %}
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<tr><td>{{ status }}</td><td>{{ count }}</td></tr>
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{% endfor %}
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</table>
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</div>
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<div class="section">
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<h2>温度与状态时序图</h2>
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<div class="image-container">
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<img src="data:image/png;base64,{{ image_data }}" alt="温度与状态时序图">
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</div>
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</div>
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</body>
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</html>
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"""
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template = Template(html_template)
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rendered_html = template.render(
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file_name=self.file_path,
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generation_time=datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
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statistics=self.generate_statistics_report(),
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image_data=img_str
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)
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write(rendered_html)
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def run_analysis(self):
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"""运行完整分析流程"""
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if not self.select_file():
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return
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if not self.load_and_process_data():
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return
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# 创建图形
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fig = self.create_scatter_plots()
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# 生成输出文件名（保存到选择的文件所在文件夹）
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base_filename = os.path.splitext(os.path.basename(self.file_path))[0]
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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output_filename = f"{base_filename}_{timestamp}.html"
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output_dir = os.path.dirname(self.file_path)
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output_path = os.path.join(output_dir, output_filename)
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# 保存HTML报告到同一文件夹
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self.save_fig_to_html(fig, output_path)
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print(f"分析完成！报告已保存至: {output_path}")
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# 显示统计摘要
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stats = self.generate_statistics_report()
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print("\n=== 数据统计摘要 ===")
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for key, value in stats.items():
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if key != 'status_distribution':
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print(f"{key.replace('_', ' ').title()}: {value}")
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if __name__ == "__main__":
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analyzer = TemperatureDataAnalyzer()
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analyzer.run_analysis()
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