https://docs.python.org/2/library/string.html 1. 空格剥离 空格剥离是字符串处理的一种基本操作,可以使用lstrip()方法(左)剥离前导空格,使用rstrip()(右)方法对尾随空格进行剥离,以及使用strip()剥离前导和尾随空格。 s = ' This is a sentence ...
1.空格剥离 空格剥离是字符串处理的一种基本操作,可以使用lstrip()方法(左)剥离前导空格,使用rstrip()(右)方法对尾随空格进行剥离,以及使用strip()剥离前导和尾随空格。 s = "This is a sentence with whitespace." print( "Strip leading whitespace: {}" .format(s.lstrip())) print( "Strip trailing wh...
Whitespace includes all Unicode whitespace characters, such as spaces, tabs (\t), carriage returns (\r), and newlines (\n). The Pythonclass has the following methods that you can use to trim whitespace from a string: strip([chars]): Trims characters from both ends of a string. Whenchar...
s=' canada 'print(s.rstrip())# For whitespace on the right side use rstrip.print(s.lstrip())# For whitespace on the left side lstrip.print(s.strip())# For whitespace from both side.s=' \t canada 'print(s.strip('\t'))# This will strip any space,\t,\n,or \r characters from...
The Python Stringstrip()method removes leading and trailing characters from a string. The default character to remove is space. Declare the string variable: s=' Hello World From DigitalOcean \t\n\r\tHi There ' Copy Use thestrip()method to remove the leading and trailing whitespace: ...
string_test = "Hello My Friend" srring_test_sub = string_test[:6] 1. 2. 2.2 字符串运算符 下表实例变量a值为字符串 “Hello”,b变量值为 “Python”: 2.3 字符串的内置函数: len(string) # 返回字符串长度 max(str)#返回字符串 str 中最大的字母 ...
from __future__importbarry_as_FLUFL __all__=['a','b','c']__version__='0.1'__author__='Cardinal Biggles'importosimportsys String Quotes|字符串引号 在Python中,单引号和双引号括起来的字符串是相同的。PEP 8并未就此提出建议。选择一种规则并坚持使用它。但是,...
这可能是最简单的例子:当late被传递给if语句时,late充当条件表达式,在布尔上下文中进行评估(就像我们调用bool(late)一样)。如果评估的结果是True,那么我们就进入if语句后面的代码体。请注意,print指令是缩进的:这意味着它属于由if子句定义的作用域。执行这段代码会产生: ...
Strip leading whitespace: This is a sentence with whitespace.Strip trailing whitespace: This is a sentence with whitespace.Strip all whitespace: This is a sentence with whitespace. 当然同样的方法也有很多,另一个比较常见的就是通过指定想要剥离的字符来处理字符串: s = 'This is a sentence with ...
,;])\1+', r'\1', corrected) corrected = re.sub(r'\.{2,}', r'...', corrected) return correcteddef _normalize_whitespace(text): """ This function normalizes whitespaces, removing duplicates. """ corrected = str(text) corrected = re.sub(r"//t",r"\t", ...