在我的项目中，我用带键没有值的section完成了类似的任务:

import configparser

# allow_no_value param says that no value keys are ok
config = configparser.ConfigParser(allow_no_value=True)

# overwrite optionxform method for overriding default behaviour (I didn't want lowercased keys)
config.optionxform = lambda optionstr: optionstr

config.read('./app.config')

features = list(config['FEATURES'].keys())

print(features)

输出:

['BIOtag', 'TextPosition', 'IsNoun', 'IsNomn']

app.config:

[FEATURES]
BIOtag
TextPosition
IsNoun
IsNomn

在我的项目中，我用带键没有值的section完成了类似的任务:

import configparser

# allow_no_value param says that no value keys are ok
config = configparser.ConfigParser(allow_no_value=True)

# overwrite optionxform method for overriding default behaviour (I didn't want lowercased keys)
config.optionxform = lambda optionstr: optionstr

config.read('./app.config')

features = list(config['FEATURES'].keys())

print(features)

输出:

['BIOtag', 'TextPosition', 'IsNoun', 'IsNomn']

app.config:

[FEATURES]
BIOtag
TextPosition
IsNoun
IsNomn

json。负载& ast.literal_eval似乎工作，但配置中的简单列表将每个字符视为字节，因此返回偶数方括号....

这意味着如果配置字段值= [1,2,3,4,5]

然后config.read (* . cfg) config['fieldValue'][0]返回[代替1

如果你想字面上传递一个列表，那么你可以使用:

ast.literal_eval()

举例配置:

[section]
option=["item1","item2","item3"]

代码是:

import ConfigParser
import ast

my_list = ast.literal_eval(config.get("section", "option"))
print(type(my_list))
print(my_list)

输出:

<type'list'>
["item1","item2","item3"]

正如Peter Smit所提到的(https://stackoverflow.com/a/11866695/7424596) 您可能想要扩展ConfigParser，此外，还可以使用Interpolator来自动转换列表。

作为参考，在底部你可以找到自动转换配置的代码，如:

[DEFAULT]
keys = [
    Overall cost structure, Capacity, RAW MATERIALS,
    BY-PRODUCT CREDITS, UTILITIES, PLANT GATE COST,
    PROCESS DESCRIPTION, AT 50% CAPACITY, PRODUCTION COSTS,
    INVESTMENT, US$ MILLION, PRODUCTION COSTS, US ¢/LB,
    VARIABLE COSTS, PRODUCTION COSTS, MAINTENANCE MATERIALS
  ]

所以如果你请求密钥，你会得到:

<class 'list'>: ['Overall cost structure', 'Capacity', 'RAW MATERIALS', 'BY-PRODUCT CREDITS', 'UTILITIES', 'PLANT GATE COST', 'PROCESS DESCRIPTION', 'AT 50% CAPACITY', 'PRODUCTION COSTS', 'INVESTMENT', 'US$ MILLION', 'PRODUCTION COSTS', 'US ¢/LB', 'VARIABLE COSTS', 'PRODUCTION COSTS', 'MAINTENANCE MATERIALS']

代码:

class AdvancedInterpolator(Interpolation):
    def before_get(self, parser, section, option, value, defaults):
        is_list = re.search(parser.LIST_MATCHER, value)
        if is_list:
            return parser.getlist(section, option, raw=True)
        return value


class AdvancedConfigParser(ConfigParser):

    _DEFAULT_INTERPOLATION = AdvancedInterpolator()

    LIST_SPLITTER = '\s*,\s*'
    LIST_MATCHER = '^\[([\s\S]*)\]$'

    def _to_list(self, str):
        is_list = re.search(self.LIST_MATCHER, str)
        if is_list:
            return re.split(self.LIST_SPLITTER, is_list.group(1))
        else:
            return re.split(self.LIST_SPLITTER, str)


    def getlist(self, section, option, conv=lambda x:x.strip(), *, raw=False, vars=None,
                  fallback=_UNSET, **kwargs):
        return self._get_conv(
                section, option,
                lambda value: [conv(x) for x in self._to_list(value)],
                raw=raw,
                vars=vars,
                fallback=fallback,
                **kwargs
        )

    def getlistint(self, section, option, *, raw=False, vars=None,
            fallback=_UNSET, **kwargs):
        return self.getlist(section, option, int, raw=raw, vars=vars,
                fallback=fallback, **kwargs)

    def getlistfloat(self, section, option, *, raw=False, vars=None,
            fallback=_UNSET, **kwargs):
        return self.getlist(section, option, float, raw=raw, vars=vars,
                fallback=fallback, **kwargs)

    def getlistboolean(self, section, option, *, raw=False, vars=None,
            fallback=_UNSET, **kwargs):
        return self.getlist(section, option, self._convert_to_boolean,
                raw=raw, vars=vars, fallback=fallback, **kwargs)

请记住缩进的重要性。ConfigParser文档字符串: 值可以跨越多行，只要它们缩进得更深 而不是第一行的值。根据解析器的模式，为空白 行可以被视为多行值的一部分或被忽略。

配置解析器只支持基本类型的序列化。对于这种需求，我会使用JSON或YAML。