64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
"""
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分析 Excel 文件的数据结构
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"""
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import pandas as pd
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import openpyxl
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import sys
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# 设置输出编码
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if sys.platform == 'win32':
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import io
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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# 读取 Excel 文件
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file_path = "data/导出文件.xlsx"
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print("=" * 80)
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print("1. 读取所有工作表名称")
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print("=" * 80)
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wb = openpyxl.load_workbook(file_path)
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sheet_names = wb.sheetnames
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print(f"工作表数量: {len(sheet_names)}")
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print(f"工作表名称: {sheet_names}")
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print("\n" + "=" * 80)
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print("2. 逐行读取原始数据（使用 openpyxl）")
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print("=" * 80)
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for sheet_name in sheet_names:
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print(f"\n--- 工作表: {sheet_name} ---")
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ws = wb[sheet_name]
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for idx, row in enumerate(ws.iter_rows(values_only=True), 1):
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# 检查是否为空行
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is_empty = all(cell is None or str(cell).strip() == "" for cell in row)
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if is_empty:
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print(f"行 {idx}: [空行]")
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else:
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# 过滤掉 None 和空字符串，只显示有效数据
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valid_data = [str(cell) if cell is not None else "" for cell in row]
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print(f"行 {idx}: {valid_data}")
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print("\n" + "=" * 80)
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print("3. 使用 pandas 读取数据（观察列结构）")
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print("=" * 80)
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for sheet_name in sheet_names:
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print(f"\n--- 工作表: {sheet_name} ---")
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df = pd.read_excel(file_path, sheet_name=sheet_name)
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print(f"DataFrame 形状: {df.shape}")
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print(f"\n列名:")
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for i, col in enumerate(df.columns):
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print(f" 列 {i}: {col}")
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print(f"\n数据预览:")
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pd.set_option('display.max_rows', 25)
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pd.set_option('display.max_columns', 20)
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pd.set_option('display.width', 200)
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pd.set_option('display.max_colwidth', 30)
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print(df)
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pd.reset_option('display.max_rows')
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pd.reset_option('display.max_columns')
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pd.reset_option('display.width')
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pd.reset_option('display.max_colwidth')
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