I was working on a similar problem. @S.Lott said "If you have the list of variables, what's the point of "discovering" their names?" And my answer is just to see if it could be done and if for some reason you want to sort your variables by type into lists. So anyways, in my research I came came across this thread and my solution is a bit expanded and is based on @rlotun solution. One other thing, @unutbu said, "This idea has merit, but note that if two variable names reference the same value (e.g. True), then an unintended variable name might be returned." In this exercise that was true so I dealt with it by using a list comprehension similar to this for each possibility: isClass = [i for i in isClass if i != 'item']. Without it "item" would show up in each list.

__metaclass__ = type

from types import *

class Class_1: pass
class Class_2: pass
list_1 = [1, 2, 3]
list_2 = ['dog', 'cat', 'bird']
tuple_1 = ('one', 'two', 'three')
tuple_2 = (1000, 2000, 3000)
dict_1 = {'one': 1, 'two': 2, 'three': 3}
dict_2 = {'dog': 'collie', 'cat': 'calico', 'bird': 'robin'}
x = 23
y = 29
pie = 3.14159
eee = 2.71828
house = 'single story'
cabin = 'cozy'

isClass = []; isList = []; isTuple = []; isDict = []; isInt = []; isFloat = []; isString = []; other = []

mixedDataTypes = [Class_1, list_1, tuple_1, dict_1, x, pie, house, Class_2, list_2, tuple_2, dict_2, y, eee, cabin]

print '\nMIXED_DATA_TYPES total count:', len(mixedDataTypes)

for item in mixedDataTypes:
    try:
        # if isinstance(item, ClassType): # use this for old class types (before 3.0)
        if isinstance(item, type):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isClass.append(mapping_as_str)
            isClass = [i for i in isClass if i != 'item']

        elif isinstance(item, ListType):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isList.append(mapping_as_str)
            isList = [i for i in isList if i != 'item']

        elif isinstance(item, TupleType):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isTuple.append(mapping_as_str)
            isTuple = [i for i in isTuple if i != 'item']

        elif isinstance(item, DictType):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isDict.append(mapping_as_str)
            isDict = [i for i in isDict if i != 'item']

        elif isinstance(item, IntType):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isInt.append(mapping_as_str)
            isInt = [i for i in isInt if i != 'item']

        elif isinstance(item, FloatType):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isFloat.append(mapping_as_str)
            isFloat = [i for i in isFloat if i != 'item']

        elif isinstance(item, StringType):
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    isString.append(mapping_as_str)
            isString = [i for i in isString if i != 'item']

        else:
            for k, v in list(locals().iteritems()):
                if v is item:
                    mapping_as_str = k
                    other.append(mapping_as_str)
            other = [i for i in other if i != 'item']

    except (TypeError, AttributeError), e:
        print e

print '\n isClass:', len(isClass), isClass
print '  isList:', len(isList), isList
print ' isTuple:', len(isTuple), isTuple
print '  isDict:', len(isDict), isDict
print '   isInt:', len(isInt), isInt
print ' isFloat:', len(isFloat), isFloat
print 'isString:', len(isString), isString
print '   other:', len(other), other

# my output and the output I wanted
'''
MIXED_DATA_TYPES total count: 14

 isClass: 2 ['Class_1', 'Class_2']
  isList: 2 ['list_1', 'list_2']
 isTuple: 2 ['tuple_1', 'tuple_2']
  isDict: 2 ['dict_1', 'dict_2']
   isInt: 2 ['x', 'y']
 isFloat: 2 ['pie', 'eee']
isString: 2 ['house', 'cabin']
   other: 0 []
'''

虽然这可能是一个糟糕的想法，但它与rlotun的答案相同，但它会更经常地返回正确的结果。

import inspect
def getVarName(getvar):
  frame = inspect.currentframe()
  callerLocals = frame.f_back.f_locals
  for k, v in list(callerLocals.items()):
    if v is getvar():
      callerLocals.pop(k)
      try:
        getvar()
        callerLocals[k] = v
      except NameError:
        callerLocals[k] = v
        del frame
        return k
  del frame

你这样称呼它:

bar = True
foo = False
bean = False
fooName = getVarName(lambda: foo)
print(fooName) # prints "foo"

这是一个黑客。它不能在所有Python实现发行版上工作(特别是那些没有traceback.extract_stack的发行版)。

import traceback

def make_dict(*expr):
    (filename,line_number,function_name,text)=traceback.extract_stack()[-2]
    begin=text.find('make_dict(')+len('make_dict(')
    end=text.find(')',begin)
    text=[name.strip() for name in text[begin:end].split(',')]
    return dict(zip(text,expr))

bar=True
foo=False
print(make_dict(bar,foo))
# {'foo': False, 'bar': True}

注意，这个黑客是脆弱的:

make_dict(bar,
          foo)

(在2行上调用make_dict)将无法工作。

与其尝试用foo和bar值生成dict， 从字符串变量名'foo'和'bar'中生成dict会更加python化:

dict([(name,locals()[name]) for name in ('foo','bar')])

使用python-varname你可以很容易地做到这一点:

PIP安装python-varname

from varname import Wrapper

foo = Wrapper(True)
bar = Wrapper(False)

your_dict = {val.name: val.value for val in (foo, bar)}

print(your_dict)

# {'foo': True, 'bar': False}

声明:我是python-varname库的作者。

正如unwind所说，这不是你在Python中真正做的事情——变量实际上是对象的名称映射。

然而，这里有一种方法可以尝试去做:

 >>> a = 1
 >>> for k, v in list(locals().iteritems()):
         if v is a:
             a_as_str = k
 >>> a_as_str
 a
 >>> type(a_as_str)
 'str'

大多数对象没有__name__属性。(类、函数和模块可以;还有其他内置类型吗?)

除了print("my_var")，你还期望print(my_var.__name__)有什么?你能直接使用字符串吗?

你可以"slice" a dict:

def dict_slice(D, keys, default=None):
  return dict((k, D.get(k, default)) for k in keys)

print dict_slice(locals(), ["foo", "bar"])
# or use set literal syntax if you have a recent enough version:
print dict_slice(locals(), {"foo", "bar"})

另外:

throw = object()  # sentinel
def dict_slice(D, keys, default=throw):
  def get(k):
    v = D.get(k, throw)
    if v is not throw:
      return v
    if default is throw:
      raise KeyError(k)
    return default
  return dict((k, get(k)) for k in keys)