以下是我的解决方案:

def un_camel(text):
    """ Converts a CamelCase name into an under_score name. 

        >>> un_camel('CamelCase')
        'camel_case'
        >>> un_camel('getHTTPResponseCode')
        'get_http_response_code'
    """
    result = []
    pos = 0
    while pos < len(text):
        if text[pos].isupper():
            if pos-1 > 0 and text[pos-1].islower() or pos-1 > 0 and \
            pos+1 < len(text) and text[pos+1].islower():
                result.append("_%s" % text[pos].lower())
            else:
                result.append(text[pos].lower())
        else:
            result.append(text[pos])
        pos += 1
    return "".join(result)

它支持评论中讨论的那些极端情况。例如，它会像它应该的那样将getHTTPResponseCode转换为get_http_response_code。

一个使用正则表达式的可怕例子(你可以很容易地清理:)):

def f(s):
    return s.group(1).lower() + "_" + s.group(2).lower()

p = re.compile("([A-Z]+[a-z]+)([A-Z]?)")
print p.sub(f, "CamelCase")
print p.sub(f, "getHTTPResponseCode")

但适用于getHTTPResponseCode !

或者，使用lambda:

p = re.compile("([A-Z]+[a-z]+)([A-Z]?)")
print p.sub(lambda x: x.group(1).lower() + "_" + x.group(2).lower(), "CamelCase")
print p.sub(lambda x: x.group(1).lower() + "_" + x.group(2).lower(), "getHTTPResponseCode")

编辑:对于像“Test”这样的情况，应该也很容易看到有改进的空间，因为下划线是无条件插入的。

以防有人需要转换一个完整的源文件，这里有一个脚本可以做到这一点。

# Copy and paste your camel case code in the string below
camelCaseCode ="""
    cv2.Matx33d ComputeZoomMatrix(const cv2.Point2d & zoomCenter, double zoomRatio)
    {
      auto mat = cv2.Matx33d::eye();
      mat(0, 0) = zoomRatio;
      mat(1, 1) = zoomRatio;
      mat(0, 2) = zoomCenter.x * (1. - zoomRatio);
      mat(1, 2) = zoomCenter.y * (1. - zoomRatio);
      return mat;
    }
"""

import re
def snake_case(name):
    s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name)
    return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()

def lines(str):
    return str.split("\n")

def unlines(lst):
    return "\n".join(lst)

def words(str):
    return str.split(" ")

def unwords(lst):
    return " ".join(lst)

def map_partial(function):
    return lambda values : [  function(v) for v in values]

import functools
def compose(*functions):
    return functools.reduce(lambda f, g: lambda x: f(g(x)), functions, lambda x: x)

snake_case_code = compose(
    unlines ,
    map_partial(unwords),
    map_partial(map_partial(snake_case)),
    map_partial(words),
    lines
)
print(snake_case_code(camelCaseCode))

为了好玩:

>>> def un_camel(input):
...     output = [input[0].lower()]
...     for c in input[1:]:
...             if c in ('ABCDEFGHIJKLMNOPQRSTUVWXYZ'):
...                     output.append('_')
...                     output.append(c.lower())
...             else:
...                     output.append(c)
...     return str.join('', output)
...
>>> un_camel("camel_case")
'camel_case'
>>> un_camel("CamelCase")
'camel_case'

或者，更有趣的是:

>>> un_camel = lambda i: i[0].lower() + str.join('', ("_" + c.lower() if c in "ABCDEFGHIJKLMNOPQRSTUVWXYZ" else c for c in i[1:]))
>>> un_camel("camel_case")
'camel_case'
>>> un_camel("CamelCase")
'camel_case'

看一看优秀的Schematics库

https://github.com/schematics/schematics

它允许你创建类型化的数据结构，可以序列化/反序列化从python到Javascript风格，例如:

class MapPrice(Model):
    price_before_vat = DecimalType(serialized_name='priceBeforeVat')
    vat_rate = DecimalType(serialized_name='vatRate')
    vat = DecimalType()
    total_price = DecimalType(serialized_name='totalPrice')

以下是我的解决方案:

def un_camel(text):
    """ Converts a CamelCase name into an under_score name. 

        >>> un_camel('CamelCase')
        'camel_case'
        >>> un_camel('getHTTPResponseCode')
        'get_http_response_code'
    """
    result = []
    pos = 0
    while pos < len(text):
        if text[pos].isupper():
            if pos-1 > 0 and text[pos-1].islower() or pos-1 > 0 and \
            pos+1 < len(text) and text[pos+1].islower():
                result.append("_%s" % text[pos].lower())
            else:
                result.append(text[pos].lower())
        else:
            result.append(text[pos])
        pos += 1
    return "".join(result)

它支持评论中讨论的那些极端情况。例如，它会像它应该的那样将getHTTPResponseCode转换为get_http_response_code。