53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
import pandas as pd
|
|
import os
|
|
|
|
from global_var import global_var_init
|
|
cycle, fs_ecg, fs_ppg, record_name, record_name_csv, data_path = global_var_init()
|
|
|
|
|
|
# 读取文件内容
|
|
with open(f"D://python_study//big_boss//doc//output//{record_name}//{record_name}_output_2.txt", 'r') as file:
|
|
data = file.read()
|
|
|
|
# 分割数据
|
|
lines = data.strip().split('\n')
|
|
|
|
# 初始化列数据
|
|
columns = [[]] # 使用一个列表来存储多个列的数据
|
|
current_col_index = 0
|
|
|
|
# 解析数据
|
|
for line in lines:
|
|
if line.startswith('#'):
|
|
# 如果遇到分隔符，则切换到下一列
|
|
columns.append([])
|
|
current_col_index += 1
|
|
else:
|
|
columns[current_col_index].append(float(line))
|
|
|
|
# 找到最长列的长度
|
|
max_length = max(len(col) for col in columns)
|
|
|
|
# 填充较短的列
|
|
for i in range(len(columns)):
|
|
while len(columns[i]) < max_length:
|
|
columns[i].append(None) # 使用None填充
|
|
|
|
# 创建DataFrame
|
|
df = pd.DataFrame({f'Column{idx+1}': col for idx, col in enumerate(columns)})
|
|
|
|
# 确保目录存在
|
|
directory = f'D://python_study//big_boss//doc//output//{record_name}'
|
|
if not os.path.exists(directory):
|
|
os.makedirs(directory)
|
|
|
|
# 确定文件保存路径
|
|
file_path = os.path.join(directory, f"{record_name}_output_2.xlsx")
|
|
|
|
# 保存为Excel文件
|
|
try:
|
|
df.to_excel(file_path, index=False, engine='openpyxl')
|
|
print(f"Excel文件已生成: {file_path}")
|
|
except Exception as e:
|
|
print(f"保存文件时出现错误: {e}")
|