python -- 如何将nc数据中的时间转换为北京时区的时间

在nc数据处理时，以ERA5的小时数据为例，使用的时间为UTC，不同时区存在时间上的差异，如何将其转化为北京当地的时间呢?
https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug  7 20:53:05 2023@author: xpji
"""import xarray as xr
import numpy as np
import pandas as pd
from datetime import datetime
from dateutil import tzdef convert_time_zone(input_path, output_path, start_time, end_time):# 设置时区from_zone = tz.gettz('UTC')to_zone = tz.gettz('Asia/Shanghai')# 打开NetCDF文件pre = xr.open_dataset(input_path)# 获取时间变量time_str = pd.date_range(start=start_time, end=end_time, freq='1H').strftime('%Y-%m-%d %H:%M:%S')result = []for t in time_str:dt = datetime.strptime(t, '%Y-%m-%d %H:%M:%S').replace(tzinfo=from_zone)dt = dt.astimezone(to_zone)print('原始时间:', t, '北京时间：', dt)result.append(dt)result_formatted = []for dt in result:dt_beijing = dt.strftime('%Y-%m-%d %H:%M:%S')result_formatted.append(dt_beijing)# 将result_formatted转换为与pre数据集的维度相同的DataArraytime_beijing = xr.DataArray(result_formatted, dims='time')# 创建新的数据集pre_beijing = pre.copy(deep=True)pre_beijing['time'] = time_beijing# 保存为新的NetCDF文件pre_beijing.to_netcdf(output_path)print("数据已保存为:", output_path)convert_time_zone('./wind_850hpa_hourly.nc', './wind_850hpa_hourly_beijing.nc', '2004-06-15 00:00:00', '2004-06-30 18:00:00')