[英]Use Python format string in reverse for parsing
我一直在使用以下python代码将整数部件ID格式化为格式化的部件号字符串:
pn = 'PN-{:0>9}'.format(id)
我想知道是否有一种方法可以反向使用相同的格式字符串( 'PN-{:0>9}'
)来从格式化的部件号中提取整数ID。 如果无法做到,有没有办法使用单个格式字符串(或正则表达式?)来创建和解析?
解析模块 “与format()”相反。
用法示例:
>>> import parse
>>> format_string = 'PN-{:0>9}'
>>> id = 123
>>> pn = format_string.format(id)
>>> pn
'PN-000000123'
>>> parsed = parse.parse(format_string, pn)
>>> parsed
<Result ('123',) {}>
>>> parsed[0]
'123'
你可能会发现模拟scanf interresting。
怎么样:
id = int(pn.split('-')[1])
这将拆分破折号处的零件号,获取第二个组件并将其转换为整数。
PS我保留id
作为变量名称,以便与您的问题的连接清晰。 重命名该变量不会影响内置函数是个好主意。
如果您不想使用解析模块,这是一个解决方案。 它将格式字符串转换为具有命名组的正则表达式。 它做了一些假设(在docstring中描述)在我的情况下是可以的,但在你的情况下可能不合适。
def match_format_string(format_str, s):
"""Match s against the given format string, return dict of matches.
We assume all of the arguments in format string are named keyword arguments (i.e. no {} or
{:0.2f}). We also assume that all chars are allowed in each keyword argument, so separators
need to be present which aren't present in the keyword arguments (i.e. '{one}{two}' won't work
reliably as a format string but '{one}-{two}' will if the hyphen isn't used in {one} or {two}).
We raise if the format string does not match s.
Example:
fs = '{test}-{flight}-{go}'
s = fs.format('first', 'second', 'third')
match_format_string(fs, s) -> {'test': 'first', 'flight': 'second', 'go': 'third'}
"""
# First split on any keyword arguments, note that the names of keyword arguments will be in the
# 1st, 3rd, ... positions in this list
tokens = re.split(r'\{(.*?)\}', format_str)
keywords = tokens[1::2]
# Now replace keyword arguments with named groups matching them. We also escape between keyword
# arguments so we support meta-characters there. Re-join tokens to form our regexp pattern
tokens[1::2] = map(u'(?P<{}>.*)'.format, keywords)
tokens[0::2] = map(re.escape, tokens[0::2])
pattern = ''.join(tokens)
# Use our pattern to match the given string, raise if it doesn't match
matches = re.match(pattern, s)
if not matches:
raise Exception("Format string did not match")
# Return a dict with all of our keywords and their values
return {x: matches.group(x) for x in keywords}
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