我有一个名字和年龄的文件,
john 25
bob 30
john bob 35
这是我到目前为止所拥有的
from pyparsing import *
data = '''
john 25
bob 30
john bob 35
'''
name = Word(alphas + Optional(' ') + alphas)
rowData = Group(name +
Suppress(White(" ")) +
Word(nums))
table = ZeroOrMore(rowData)
print table.parseString(data)
我期待的输出是
[['john', 25], ['bob', 30], ['john bob', 35]]
这是stacktrace
Traceback (most recent call last):
File "C:\Users\mccauley\Desktop\client.py", line 11, in <module>
eventType = Word(alphas + Optional(' ') + alphas)
File "C:\Python27\lib\site-packages\pyparsing.py", line 1657, in __init__
self.name = _ustr(self)
File "C:\Python27\lib\site-packages\pyparsing.py", line 122, in _ustr
return str(obj)
File "C:\Python27\lib\site-packages\pyparsing.py", line 1743, in __str__
self.strRepr = "W:(%s)" % charsAsStr(self.initCharsOrig)
File "C:\Python27\lib\site-packages\pyparsing.py", line 1735, in charsAsStr
if len(s)>4:
TypeError: object of type 'And' has no len()
答案 0 :(得分:3)
pyparsing
会自动删除空格,以便您可以编写更清晰的语法。所以,你的名字解析器应该更像是:
# Parse for a name with an optional surname
# Note that pyparsing is built to accept "john doe" or "john doe"
name = Word(alphas) + Optional(Word(alphas))
然后,行解析器:
# Parses a row of a name and an age
row = Group(name) + Word(nums)
但是,你会得到一个相当复杂的结构,每行([(['john', 'doe'], {}), '25'], {})
,但我希望你能看到如何使用它。我建议不要使用pyparsing来解析整个字符串,但如果您的数据是基于行的,则迭代地逐行解析它。我认为事情变得更简单了:
for line in input_string.splitlines():
results = row.parseString(line)
# Do something with results...
答案 1 :(得分:0)
以下代码可以使用内置字符串库解决您的问题。
def main():
f = open('filename.txt')
fe = open('ERROR.TXT','w+')
for line in f.readlines():
# print line,
lst = line.split()
try:
name = lst[0]
age = lst[1]
# process name and age valuse
except IndexError as e:
print e
fe.write(e)
except IOError as e:
print e
fe.write(e)
if __name__ == '__main__':
main()