我的目做每一個動作。DataFramedf有幾列，但我只想將該函數(shù)應(yīng)用于標(biāo)題為“條目”的列，該列包含在線撲克桌上發(fā)生的所有操作的日志（列中的每一行都是一個字符串）。這是“條目”列的樣子（每行都是一個字符串）：-- ending hand #174 --"Prof @ ZY_G_5ZOve" gained 100"tom_thumb @ g1PBaozt7k" folds"Prof @ ZY_G_5ZOve" calls with 50"tom_thumb @ g1PBaozt7k" checksriver: 9a?|, 5a?￡, Qa?￥, 7a?  [Ka? ]"Prof @ ZY_G_5ZOve" checks"tom_thumb @ g1PBaozt7k" checksturn: 9a?|, 5a?￡, Qa?￥ [7a? ]"Prof @ ZY_G_5ZOve" checks"tom_thumb @ g1PBaozt7k" checksflop:  [9a?|, 5a?￡, Qa?￥]"Prof @ ZY_G_5ZOve" checks"tom_thumb @ g1PBaozt7k" calls with 50"Bob T. @ fjZTXUGV2G" folds"danny G @ tNE1_lEFYv" folds"Prof @ ZY_G_5ZOve" posts a big blind of 50"tom_thumb @ g1PBaozt7k" posts a small blind of 25-- starting hand #174  (Texas Hold'em) (dealer: "Bob T. @ fjZTXUGV2G") ---- ending hand #173 --"tom_thumb @ g1PBaozt7k" gained 475"danny G @ tNE1_lEFYv" folds"Prof @ ZY_G_5ZOve" folds"tom_thumb @ g1PBaozt7k" raises with 356flop:  [4a?￥, Aa? , 6a? ]"danny G @ tNE1_lEFYv" calls with 150"Prof @ ZY_G_5ZOve" calls with 150"tom_thumb @ g1PBaozt7k" raises with 150"Bob T. @ fjZTXUGV2G" folds"danny G @ tNE1_lEFYv" calls with 50"Prof @ ZY_G_5ZOve" calls with 50"tom_thumb @ g1PBaozt7k" posts a big blind of 50"Bob T. @ fjZTXUGV2G" posts a small blind of 25-- starting hand #173  (Texas Hold'em) (dealer: "danny G @ tNE1_lEFYv") --這是我嘗試過的一些示例代碼：player_list = ['danny G', 'Jane', 'Prof', 'spn', 'tim', 'Bob T.', 'joon', 'tom_thumb']action_list = ['call', 'fold']def action_amount(df, player_list, action):    for player in player_list:        action_number =len(df[df['entry'].str.contains('(player).*(action)', regex=True)])        print(f'{player} {action}ed {action_number} times.')action_amount(df, player_list, 'call')值得注意的是，len(df[df['entry'].str.contains('(danny G).*(call)', regex=True)])返回正確的值（我正在使用正則表達式，因為我要查找的兩個詞在同一行中，中間有一堆不同的字符）。該問題似乎與嘗試將值循環(huán)到str.contains. 我如何遍歷列表并打印姓名以及該人執(zhí)行給定輸入操作的次數(shù)？理想情況下，我希望同時遍歷代碼頂部的兩個列表。