python中要列出的特殊字符

我有数据帧

data2 = {'col0' : ['USD<500','AUD>100','GBP>200'],
         'col1' : ['weights(kgs)','weights(lbs)','weights(gms)'],
         'col2' : ['USD$500','AUD$400','GBP$450'],
         'col3' : ['height[cm]','height[mm]','height[m]'],
         'col4' : ['length*10%','length*100%','length*1000%'],
         'col5' : ['exp^2','exp^3','exp^4'],
         'col6' : ['length.height','height.weight','length.weight'],
         'col7' : ['len?ht','ht?wt','len?wt'],
         'col8' : ['length+height','height+weight','length+weight']}
df2 = pd.DataFrame(data=data2)

这些字符抛出错误为：无需重复 和“$”显示在所有字符串中

我可以知道如何提取字符吗

"<",">","-","/","@","!","~","#","&","?","`"," ",",",":",";"

预期结果

avaichars = ["<",">","(",")","$","[","]","%","*","^",".","?","+"]

avichars=[“”、“（“，”）、“$”、“[”、“]”、“%”、“*”、“^”、“？”、“+”]

看起来像

str.contains

也将regex作为默认值。

str.contains

函数有一个名为

regex

的参数，默认为true。尝试将其设置为false。正如注释所述，它似乎是一个正则表达式，因此可以通过在无法获取的字符串开头添加反斜杠来获取它。我检查了。是的，设置df2[col].str.contains（ch，regex=False）有效

"(",")","[","]","*","^",".","?","+","%"

avaichars = ["<",">","(",")","$","[","]","%","*","^",".","?","+"]