53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
import pandas as pd
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import os
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from global_var import global_var_init
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cycle, fs_ecg, fs_ppg, record_name, record_name_csv = global_var_init()
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# 读取文件内容
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with open(f"D://python_study//big_boss//doc//output//{record_name}_output.txt", 'r') as file:
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data = file.read()
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# 分割数据
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lines = data.strip().split('\n')
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# 初始化列数据
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columns = [[]] # 使用一个列表来存储多个列的数据
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current_col_index = 0
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# 解析数据
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for line in lines:
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if line.startswith('#'):
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# 如果遇到分隔符，则切换到下一列
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columns.append([])
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current_col_index += 1
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else:
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columns[current_col_index].append(float(line))
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# 找到最长列的长度
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max_length = max(len(col) for col in columns)
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# 填充较短的列
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for i in range(len(columns)):
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while len(columns[i]) < max_length:
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columns[i].append(None) # 使用None填充
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# 创建DataFrame
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df = pd.DataFrame({f'Column{idx+1}': col for idx, col in enumerate(columns)})
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# 确保目录存在
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directory = 'D://python_study//big_boss//doc//output'
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if not os.path.exists(directory):
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os.makedirs(directory)
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# 确定文件保存路径
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file_path = os.path.join(directory, f"{record_name}_output.xlsx")
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# 保存为Excel文件
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try:
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df.to_excel(file_path, index=False, engine='openpyxl')
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print(f"Excel文件已生成: {file_path}")
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except Exception as e:
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print(f"保存文件时出现错误: {e}")
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