55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
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import pandas as pd
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from datetime import datetime
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import os
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# 配置参数
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CONFIG = {
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'input_csv': r'C:\Users\Administrator\Desktop\European Local O&M\all-active-0522.csv.csv',
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'output_dir': './output',
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'required_columns': ['car_vins', 'active_status', 'MATERIAL', 'Area','active_date']
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}
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df=pd.read_csv(CONFIG['input_csv'])
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df['active_date'] = pd.to_datetime(df['active_date'], errors='coerce')
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active_df = df[df['active_status'] == 'active']
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daily_count = active_df.groupby(active_df['active_date'].dt.date).size().reset_index(name='active_count')
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print(daily_count)
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daily_count['active_date'] = pd.to_datetime(daily_count['active_date'])
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daily_count.set_index('active_date', inplace=True)
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weekly_count = daily_count.resample('W-MON').sum().reset_index() # 每周从周一开始
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weekly_count.columns = ['week_start', 'weekly_active_count']
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weekly_count['week_number'] = pd.to_datetime(weekly_count['week_start']).dt.isocalendar().week
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weekly_count['year'] = pd.to_datetime(weekly_count['week_start']).dt.isocalendar().year
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# 转换为 datetime 类型
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weekly_count['week_start'] = pd.to_datetime(weekly_count['week_start'])
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# 提取年份后两位、月份
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weekly_count['year'] = weekly_count['week_start'].dt.year % 100
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weekly_count['month'] = weekly_count['week_start'].dt.month
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# 分组内生成「每月第几周」编号（用 cumcount）
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weekly_count['week_in_month'] = weekly_count.groupby(['year', 'month']).cumcount() + 1
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# 拼接成格式：25-1-4
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weekly_count['year_month_week'] = (
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weekly_count['year'].astype(str) + '-' +
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weekly_count['month'].astype(str) + '-' +
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weekly_count['week_in_month'].astype(str)
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)
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print(weekly_count)
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# 获取输出目录路径
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output_dir = CONFIG['output_dir']
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os.makedirs(output_dir, exist_ok=True) # 自动创建目录（如果不存在）
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# 拼接 Excel 文件路径
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output_path = os.path.join(output_dir, 'active_car_number.xlsx')
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# 导出
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with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
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daily_count.reset_index().to_excel(writer, sheet_name='Daily', index=False)
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weekly_count.to_excel(writer, sheet_name='Weekly', index=False)
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print(f"已成功导出至：{output_path}")
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