我正在嘗試洗掉所有
\xf0\x9f\x93\xa2, \xf0\x9f\x95\x91\n\, \xe2\x80\xa6,\xe2\x80\x99t
在 Python pandas 列中鍵入以下字串中的字符。雖然文本以 b' 開頭，但它是一個字串
Text
_____________________________________________________
"b'Hello! \xf0\x9f\x93\xa2 End Climate Silence is looking for volunteers! \n\n1-2 hours per week. \xf0\x9f\x95\x91\n\nExperience doing digital research\xe2\x80\xa6
"b'I doubt if climate emergency 8s real, I think people will look ba\xe2\x80\xa6 '
"b'No, thankfully it doesn\xe2\x80\x99t. Can\xe2\x80\x99t see how cheap to overtourism in the alan alps can h\xe2\x80\xa6"
"b'Climate Change Poses a WidelllThreat to National Security "
"b""This doesn't feel like targeted propaganda at all. I mean states\xe2\x80\xa6"
"b'berates climate change activist who confronted her in airport\xc2\xa0
以上內容在pandas資料框中作為一列..
我在嘗試
string.encode('ascii', errors= 'ignore')
和正則運算式，但沒有運氣。如果我能得到一些建議會很有幫助。
uj5u.com熱心網友回復：
您的字串看起來像位元組字串，但不是這樣encode/decode不起作用。嘗試這樣的事情：
>>> df['text'].str.replace(r'\\x[0-9a-f]{2}', '', regex=True)
0 b'Hello! End Climate Silence is looking for v...
1 b'I doubt if climate emergency 8s real, I thin...
2 b'No, thankfully it doesnt. Cant see how cheap...
3 b'Climate Change Poses a WidelllThreat to Nati...
4 b""This doesn't feel like targeted propaganda ...
5 b'berates climate change activist who confront...
Name: text, dtype: object
請注意，您必須清除不平衡的單/雙引號并洗掉第一個 'b' 字符。
uj5u.com熱心網友回復：
您可以遍歷字串并僅保留 ascii 字符：
my_str = "b'Hello! \xf0\x9f\x93\xa2 End Climate Silence is looking for volunteers! \n\n1-2 hours per week. \xf0\x9f\x95\x91\n\nExperience doing digital research\xe2\x80\xa6"
new_str = "".join(c for c in my_str if c.isascii())
print(new_str)
請注意，.encode('ascii', errors= 'ignore')它不會更改它所應用的字串，而是回傳編碼后的字串。這應該有效：
new_str = my_str.encode('ascii',errors='ignore')
print(new_str)
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