我有一个熊猫系列，其中包含从社交媒体中提取的几个文本。我注意到一些文本包含由表情符号编码产生的字符。我需要在情绪分析（vader 工具）中使用此文本，因此保留表情符号很重要。所以我正在使用解决方案： 我们如何解码表情符号，python中的特殊字符？
通过使用 encode('latin')，然后 decode('utf-8') 对 pandas 系列中的一行进行测试，如果我将值更改为 str 然后应用编码和解码，它可以正常工作并显示表情符号，但是如果我直接使用 pandas 系列，它不会像下面那样工作，我需要使用表情符号以便 vader 能够理解它们，不胜感激任何建议：
# Direct encode&decode case
posts_texts[127:128]
output: Tesla increases Model S Plaid prices by $10k hours ahead of first deliveries ð How do they get away with it? If a traditional automaker did this surely theyâd be crucified.
posts_texts[127:128].str.encode('latin')
posts_texts[127:128].str.decode('utf-8')
posts_texts[127:128]
output: Tesla increases Model S Plaid prices by $10k hours ahead of first deliveries ð How do they get away with it? If a traditional automaker did this surely theyâd be crucified
#change to string case
str(posts_texts[127:128])
output: Tesla increases Model S Plaid prices by $10k hours ahead of first deliveries ð\x9f\x99\x84 How do they get away with it? If a traditional automaker did this surely theyâ\x80\x99d be crucified
str(posts_texts[127:128]).encode('latin').decode('utf-8')
output: Tesla increases Model S Plaid prices by $10k hours ahead of first deliveries How do they get away with it? If a traditional automaker did this surely they’d be crucified