Python 选择从比较数据帧列和列表中派生的数据帧索引

考虑到下面的

仪器\u ticker

数据帧和

ticker

列表：

import pandas as pd
import numpy as np

stk_off = pd.DataFrame({'Ticker': ['EWZ US 05/29/20 P27', 'HSI US 12/30/20 C24800', 'TLT US 06/19/20 C225', 'EWZ US 05/29/20 P29'],
                   'Instrument': ['EWZ', 'HSI', 'TLT', 'EWZ'],
                   'Maturity Label': ['MAI 20 D29', 'DEC 20 D30', 'JUN 20 D19', 'MAY 20 D29'],
                   'Strike': [27, 24800, 225, 29],
                   'Payout': ['P', 'C', 'C', 'P'],
                   'Maturity': ['29/05/2020', '12/30/2020', '19/06/2020', '29/05/2020'],
                   'Market': ['US NYSE', 'US NYSE', 'HK HKSE', 'US NYSE']})

stk_off['Reduced_Ticker'] = stk_off['Ticker'].apply(lambda a :" ".join(a.split(" ", 2)[:2]))

instrument_ticker = stk_off[['Instrument','Reduced_Ticker']].groupby(['Instrument']).agg(list)
instrument_ticker['Reduced_Ticker'] = instrument_ticker['Reduced_Ticker'].apply(lambda x: pd.unique(x))

ticker = ['EWZ US 05/29/20 C31','HSI US 12/30/20 C24900'] 

我进行拆分以选择从每行的此操作中获得的每个值的第一项：

tickers_reduced = [t.split()[0] for t in tickers]

现在，我如何获得

仪器\u ticker

的索引，其中

减少的\u ticker

包含一个减少的项目？我需要将其保存在列表中，如下所示（预期输出）：

---

通过检查

Reduced\u Ticker

的第一个拆分项，然后获取所选行的索引，选择所需内容：

selection = (
    instrument_ticker
    .explode('Reduced_Ticker')
    ['Reduced_Ticker']
    .apply(lambda x : x.split()[0] in tickers_reduced)
)

instrument = instrument_ticker.loc[selection].index.to_list()

selection = (
    instrument_ticker
    .explode('Reduced_Ticker')
    ['Reduced_Ticker']
    .apply(lambda x : x.split()[0] in tickers_reduced)
)

instrument = instrument_ticker.loc[selection].index.to_list()