我在报告文件中有以下字符串:
"Bunch(conditions=['s1', 's2', 's3', 's4', 's5', 's6'], durations=[[30.0], [30.0], [30.0], [30.0], [30.0], [30.0]], onsets=[[172.77], [322.77], [472.77], [622.77], [772.77], [922.77]])"
我想把它变成一个 Bunch()
对象或一个 dict
,这样我就可以访问里面的信息(通过 my_var.conditions
或 my_var["conditions"]
).
这与 eval()
配合得很好:
eval("Bunch(conditions=['s1', 's2', 's3', 's4', 's5', 's6'], durations=[[30.0], [30.0], [30.0], [30.0], [30.0], [30.0]], onsets=[[172.77], [322.77], [472.77], [622.77], [772.77], [922.77]])")
但是我想避免使用它。
我尝试编写几个字符串替换,以便将其转换为 dict 语法,然后使用 json.loads()
解析它,但这看起来非常 hackish,并且会中断一旦我在未来的字符串中遇到任何新字段;例如:
"{"+"Bunch(conditions=['s1', 's2', 's3', 's4', 's5', 's6'], durations=[[30.0], [30.0], [30.0], [30.0], [30.0], [30.0]], onsets=[[172.77], [322.77], [472.77], [622.77], [772.77], [922.77]])"[1:-1]+"}".replace("conditions=","'conditions':")
你明白了。
你知道有没有更好的方法来解析这个?
最佳答案
此 pyparsing 代码将为您的 Bunch 声明定义一个解析表达式。
from pyparsing import (pyparsing_common, Suppress, Keyword, Forward, quotedString,
Group, delimitedList, Dict, removeQuotes, ParseResults)
# define pyparsing parser for the Bunch declaration
LBRACK,RBRACK,LPAR,RPAR,EQ = map(Suppress, "[]()=")
integer = pyparsing_common.integer
real = pyparsing_common.real
ident = pyparsing_common.identifier
# define a recursive expression for nested lists
listExpr = Forward()
listItem = real | integer | quotedString.setParseAction(removeQuotes) | Group(listExpr)
listExpr << LBRACK + delimitedList(listItem) + RBRACK
# define an expression for the Bunch declaration
BUNCH = Keyword("Bunch")
arg_defn = Group(ident + EQ + listItem)
bunch_decl = BUNCH + LPAR + Dict(delimitedList(arg_defn))("args") + RPAR
这是针对您的示例输入运行的解析器:
# run the sample input as a test
sample = """Bunch(conditions=['s1', 's2', 's3', 's4', 's5', 's6'],
durations=[[30.0], [30.0], [30.0], [30.0], [30.0], [30.0]],
onsets=[[172.77], [322.77], [472.77], [622.77], [772.77], [922.77]])"""
bb = bunch_decl.parseString(sample)
# print the parsed output as-is
print(bb)
给予:
['Bunch', [['conditions', ['s1', 's2', 's3', 's4', 's5', 's6']],
['durations', [[30.0], [30.0], [30.0], [30.0], [30.0], [30.0]]],
['onsets', [[172.77], [322.77], [472.77], [622.77], [772.77], [922.77]]]]]
使用 pyparsing,你还可以添加一个解析时回调,这样 pyparsing 就会为你做 tokens->Bunch 转换:
# define a simple placeholder class for Bunch
class Bunch(object):
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
def __repr__(self):
return "Bunch:(%s)" % ', '.join("%r: %s" % item for item in vars(self).items())
# add this as a parse action, and pyparsing will autoconvert the parsed data to a Bunch
bunch_decl.addParseAction(lambda t: Bunch(**t.args.asDict()))
现在解析器会给你一个实际的 Bunch 实例:
[Bunch:('durations': [[30.0], [30.0], [30.0], [30.0], [30.0], [30.0]],
'conditions': ['s1', 's2', 's3', 's4', 's5', 's6'],
'onsets': [[172.77], [322.77], [472.77], [622.77], [772.77], [922.77]])]
关于python - 从字符串中读取 Bunch(),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/37669160/