我正在创建以下时间序列：

  private void MainCategory_ItemSelected(object sender,SelectedItemChangedEventArgs e)
    {
        var carier = e.SelectedItem as Item;






        var cart_Itemsx = new List<cart_Items>();
        cart_Itemsx.Add(new Models.cart_Items { cartid = 1,Id = carier.itid,image = carier.image,name = carier.title,price = carier.price1,quantity = "1",type = "Wash and iron" });
        cart_Itemsx.Add(new Models.cart_Items { cartid = 2,price = carier.price2,type = "iron Only" });
        SubCategory.ItemsSource = cart_Itemsx.ToList();
    }



    private void SubCategory_ItemSelected(object sender,SelectedItemChangedEventArgs e)
    {
        var dbcontet = e.SelectedItem as cart_Items;
        _dbPath = Path.Combine(System.Environment.GetFolderPath(System.Environment.SpecialFolder.LocalApplicationData),"WashPro.db3");
        var db = new SQLiteConnection(_dbPath);
        db.Createtable<cart_Items>();



        var MaximumPrimaryKey = db.Table<cart_Items>().OrderByDescending(zt => zt.cartid).FirstOrDefault();

        var waltani = new cart_Items()
        {
            cartid = (MaximumPrimaryKey == null ? 1 : MaximumPrimaryKey.cartid + 1),Id = dbcontet.Id,image = dbcontet.image,name = dbcontet.name,price = dbcontet.price,quantity = dbcontet.quantity,type = dbcontet.quantity
        };

        if (MaximumPrimaryKey == null)
        {
            db.Insert(waltani);
        }
        else if (MaximumPrimaryKey != null)
        {
            var MaximumQuantityKey = db.Table<cart_Items>().Where(m => m.cartid.Equals(dbcontet.cartid) && m.type.Equals(dbcontet.type)).FirstOrDefault();

            if (MaximumQuantityKey != null)
            {
               waltani.price = dbcontet.price = 1;
                db.Update(waltani);
            }

        }
        SubCategory.SelectedItem = null;

    }

现在，我想根据import pandas as pd dti = pd.date_range('2020-01-01 00:00','2021-01-01 00:00',freq='0.25H') 中的夏时制修改此时间序列。含义： 2020年3月29日，时钟从Europe/berlin跳到29-03-2020 01:59:59，并且在 2020年10月25日，时钟将从{ {1}}至29-03-2020 03:00:00，依此类推。

我尝试做：

25-10-2020 02:59:59

但是会引发以下错误：

25-10-2020 02:00:00

我当前的时间序列dti_CEST = dti.tz_localize(tz='Europe/berlin',ambiguous='infer') ：

 dti_CEST = dti.tz_localize(tz='Europe/berlin',ambiguous='infer')
Traceback (most recent call last):

  File "<ipython-input-3-cb1d671c16a6>",line 1,in <module>
    dti_CEST = dti.tz_localize(tz='Europe/berlin',ambiguous='infer')

  File "C:\Users\kashy\Anaconda3\envs\py36\lib\site-packages\pandas\core\accessor.py",line 93,in f
    return self._delegate_method(name,*args,**kwargs)

  File "C:\Users\kashy\Anaconda3\envs\py36\lib\site-packages\pandas\core\indexes\datetimelike.py",line 813,in _delegate_method
    result = operator.methodcaller(name,**kwargs)(self._data)

  File "C:\Users\kashy\Anaconda3\envs\py36\lib\site-packages\pandas\core\arrays\datetimes.py",line 1151,in tz_localize
    self.asi8,tz,ambiguous=ambiguous,nonexistent=nonexistent

  File "pandas\_libs\tslibs\tzconversion.pyx",line 196,in pandas._libs.tslibs.tzconversion.tz_localize_to_utc

AmbiguousTimeError: 2020-10-25 02:00:00

所需的输出

dti

我该怎么做？