下面是我的代码，您可以看到我使用np.select来识别列中的字符串是否包含任何代码，并创建一个引用列，其中包含基于逻辑的描述。

# Creating Score column
col         = 'codes_desc'
conditions  = [(df_merged[col].str.contains('R27', case=False)),
               (df_merged[col].str.contains('R38', case=False)),
               (df_merged[col].str.contains('R52', case=False)),
               (df_merged[col].str.contains('R62', case=False)),
               (df_merged[col].str.contains('R21', case=False)),
               (df_merged[col].str.contains('R22', case=False)),
               (df_merged[col].str.contains('R23', case=False)),
               (df_merged[col].str.contains('R57', case=False)),
               (df_merged[col].str.contains('R82', case=False)),
               (df_merged[col].str.contains('R86', case=False)),
               (df_merged[col].str.contains('R20', case=False)), 
               (df_merged[col].str.contains('R98', case=False)) 
              ]

choices     = [ 
 'The person is a Ninja',
 'The person is a Pirate',
 'The person is a Doctor',
 'The person is a Samurai',
 'The person is a Admiral',
 'The person is a Police',
 'The person is a Teacher',
 'The person is a Singer',
 'The person is a Guitarist',
 'The person is a Chef',
 'The person is a Runner',
 'The person is a Wizard'
]
df_merged["reference"] = np.select(conditions, choices, default= 'Reason Unknown')

但我在 Dataframe 中发现列“codes_desc”包含两个代码的情况，例如：

codes_desc

The selected codes are R27, R22.

在本例中，我希望输出类似于列“Reference”：

1. 'The person is a Ninja'
2. 'The person is a Police'

但是由于np.select的工作方式类似于case语句;它会提取最后一个代码描述，那么怎么做呢？