将累积时间字符串转换为pandas datetime格式

import pandas as pd

def convert_to_datetime(time_str):
    # 使用空格分割字符串
    parts = time_str.split()
    
    # 初始化时间间隔为0
    timedelta = pd.Timedelta(0)
    
    # 遍历每个部分
    for i in range(0, len(parts), 2):
        value = int(parts[i])
        unit = parts[i+1]
        
        # 根据单位转换为对应的时间间隔
        if unit == 'days':
            timedelta += pd.Timedelta(days=value)
        elif unit == 'hours':
            timedelta += pd.Timedelta(hours=value)
        elif unit == 'minutes':
            timedelta += pd.Timedelta(minutes=value)
        elif unit == 'seconds':
            timedelta += pd.Timedelta(seconds=value)
        elif unit == 'milliseconds':
            timedelta += pd.Timedelta(milliseconds=value)
        elif unit == 'microseconds':
            timedelta += pd.Timedelta(microseconds=value)
    
    # 返回转换后的pandas datetime格式
    return pd.Timestamp('1970-01-01') + timedelta

# 测试示例
time_str = "10 days 5 hours 30 minutes"
datetime = convert_to_datetime(time_str)
print(datetime)

1970-01-11 05:30:00