Series.str.contains 方法需要正则表达式模式(默认情况下)，而不是文字字符串.因此 str.contains("^") 匹配任何字符串的开头.由于每个字符串都有开头，因此所有内容都匹配.而是使用 str.contains("^") 来匹配文字 ^ 字符.

The Series.str.contains method expects a regex pattern (by default), not a literal string. Therefore str.contains("^") matches the beginning of any string. Since every string has a beginning, everything matches. Instead use str.contains("^") to match the literal ^ character.

要检查每一列，您可以使用 for col in df 遍历列名，然后在每一列上调用 str.contains:

To check every column, you could use for col in df to iterate through the column names, and then call str.contains on each column:

mask = np.column_stack([df[col].str.contains(r"^", na=False) for col in df])
df.loc[mask.any(axis=1)]

或者，您可以将 regex=False 传递给 str.contains 以使测试使用 Python in 运算符；但是(通常)使用正则表达式会更快.

Alternatively, you could pass regex=False to str.contains to make the test use the Python in operator; but (in general) using regex is faster.