Files
msh-system/models-integration/read_excel.py

29 lines
881 B
Python

import pandas as pd
# 读取Excel文件
file_path = '/Users/a123/Documents/UthinkJava2025/xbb-api-demo/sql/名称代码对应表.xls'
df = pd.read_excel(file_path)
# 打印列名
print("列名:")
for i, col in enumerate(df.columns):
print(f"{i+1}. {col}")
# 打印前几行数据
print("\n前5行数据:")
print(df.head())
# 构建替换映射数组
name_code_map = []
for index, row in df.iterrows():
# 假设第一列是名称,第二列是代码
if len(df.columns) >= 2:
name = str(row.iloc[0]) if not pd.isna(row.iloc[0]) else ''
code = str(row.iloc[1]) if not pd.isna(row.iloc[1]) else ''
if name and code:
name_code_map.append((name, code))
print("\n名称代码对应关系:")
for name, code in name_code_map[:10]: # 只打印前10个
print(f"{name} -> {code}")
print(f"总共 {len(name_code_map)} 个映射关系")