一个递归的解决方案。当然，这对负二进制值不起作用。您需要实现Two's Complement。

def generateBase36Alphabet():
    return ''.join([str(i) for i in range(10)]+[chr(i+65) for i in range(26)])

def generateAlphabet(base):
    return generateBase36Alphabet()[:base]

def intToStr(n, base, alphabet):
    def toStr(n, base, alphabet):
        return alphabet[n] if n < base else toStr(n//base,base,alphabet) + alphabet[n%base]
    return ('-' if n < 0 else '') + toStr(abs(n), base, alphabet)

print('{} -> {}'.format(-31, intToStr(-31, 16, generateAlphabet(16)))) # -31 -> -1F

>>> import string
>>> def int2base(integer, base):
        if not integer: return '0'
        sign = 1 if integer > 0 else -1
        alphanum = string.digits + string.ascii_lowercase
        nums = alphanum[:base]
        res = ''
        integer *= sign
        while integer:
                integer, mod = divmod(integer, base)
                res += nums[mod]
        return ('' if sign == 1 else '-') + res[::-1]


>>> int2base(-15645, 23)
'-16d5'
>>> int2base(213, 21)
'a3'

虽然目前排名第一的答案绝对是一个很棒的解决方案，但仍然有更多用户可能喜欢的定制。

Basencode添加了其中的一些特性，包括浮点数的转换、修改数字(在链接的答案中，只能使用数字)。

下面是一个可能的用例:

>>> from basencode import *
>>> n1 = Number(12345)
>> n1.repr_in_base(64) # convert to base 64
'30V'
>>> Number('30V', 64) # construct Integer from base 64
Integer(12345)
>>> n1.repr_in_base(8)
'30071'
>>> n1.repr_in_octal() # shortcuts
'30071'
>>> n1.repr_in_bin() # equivelant to `n1.repr_in_base(2)`
'11000000111001'
>>> n1.repr_in_base(2, digits=list('-+')) # override default digits: use `-` and `+` in place of `0` and `1`
'++------+++--+'
>>> n1.repr_in_base(33) # yet another base - all bases from 2 to 64 are supported from the start
'bb3'

你怎么添加你想要的碱基?让我复制一下目前投票最多的答案的例子:digits参数允许您覆盖从2到64的默认数字，并为任何高于该基数的数字提供数字。mode参数决定了表示的值如何决定(列表或字符串)如何返回答案。

>>> n2 = Number(67854 ** 15 - 102)
>>> n2.repr_in_base(577, digits=[str(i) for i in range(577)], mode="l")
['4', '473', '131', '96', '431', '285', '524', '486', '28', '23', '16', '82', '292', '538', '149', '25', '41', '483', '100', '517', '131', '28', '0', '435', '197', '264', '455']
>>> n2.repr_in_base(577, mode="l") # the program remembers the digits for base 577 now
['4', '473', '131', '96', '431', '285', '524', '486', '28', '23', '16', '82', '292', '538', '149', '25', '41', '483', '100', '517', '131', '28', '0', '435', '197', '264', '455']

可以执行以下操作:Number类返回basencode的一个实例。如果提供的数字是Integer，则返回一个基本编码。浮动

>>> n3 = Number(54321) # the Number class returns an instance of `basencode.Integer` if the provided number is an Integer, otherwise it returns a `basencode.Float`.
>>> n1 + n3
Integer(66666)
>>> n3 - n1
Integer(41976)
>>> n1 * n3
Integer(670592745)
>>> n3 // n1
Integer(4)
>>> n3 / n1 # a basencode.Float class allows conversion of floating point numbers
Float(4.400243013365735)
>>> (n3 / n1).repr_in_base(32)
'4.cpr56v6rnc4oitoblha2r11sus0dheqd4pgechfcjklo74b2bgom7j8ih86mipdvss0068sehi9f3791mdo4uotfujq66cf0jkgo'
>>> n4 = Number(0.5) # returns a basencode.Float
>>> n4.repr_in_bin() # binary version of 0.5
'0.1'

免责声明:此项目正在积极维护中，我是贡献者。

很棒的答案! 我想我问题的答案是“不”，我并没有错过一些明显的解决方案。 下面是我将使用的函数，它可以浓缩答案中所表达的好想法。

允许调用者提供的字符映射(允许base64编码) 检查负数和零 将复数映射为字符串元组

def int2base(x,b,alphabet='0123456789abcdefghijklmnopqrstuvwxyz'): 'convert an integer to its string representation in a given base' if b<2 or b>len(alphabet): if b==64: # assume base64 rather than raise error alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/" else: raise AssertionError("int2base base out of range") if isinstance(x,complex): # return a tuple return ( int2base(x.real,b,alphabet) , int2base(x.imag,b,alphabet) ) if x<=0: if x==0: return alphabet[0] else: return '-' + int2base(-x,b,alphabet) # else x is non-negative real rets='' while x>0: x,idx = divmod(x,b) rets = alphabet[idx] + rets return rets

简单基底变换

def int_to_str(x, b):
    s = ""
    while x:
        s = str(x % b) + s
        x //= b
    return s

输出的例子，没有0到基数9

s = ""
x = int(input())
while x:
    if x % 9 == 0:
        s = "9" + s
        x -= x % 10
        x = x // 9
    else:
        s = str(x % 9) + s
        x = x // 9

print(s)

字符串不是表示数字的唯一选择:您可以使用一个整数列表来表示每个数字的顺序。这些可以很容易地转换为字符串。

没有一个答案拒绝底数< 2;对于非常大的数字(如56789 ** 43210)，大多数将运行非常缓慢或因堆栈溢出而崩溃。为了避免这种失败，可以像这样快速减少:

def n_to_base(n, b):
    if b < 2: raise # invalid base
    if abs(n) < b: return [n]
    ret = [y for d in n_to_base(n, b*b) for y in divmod(d, b)]
    return ret[1:] if ret[0] == 0 else ret # remove leading zeros

def base_to_n(v, b):
    h = len(v) // 2
    if h == 0: return v[0]
    return base_to_n(v[:-h], b) * (b**h) + base_to_n(v[-h:], b)

assert ''.join(['0123456789'[x] for x in n_to_base(56789**43210,10)])==str(56789**43210)

在速度方面，n_to_base对于较大的数字(在我的机器上约为0.3秒)与str相当，但如果与十六进制进行比较，您可能会感到惊讶(在我的机器上约为0.3毫秒，或快1000倍)。这是因为大整数以256(字节)为基数存储在内存中。每个字节可以简单地转换为两个字符的十六进制字符串。这种对齐只发生在底数为2的幂的情况下，这就是为什么有2、8和16(以及base64, ascii, utf16, utf32)的特殊情况。

Consider the last digit of a decimal string. How does it relate to the sequence of bytes that forms its integer? Let's label the bytes s[i] with s[0] being the least significant (little endian). Then the last digit is sum([s[i]*(256**i) % 10 for i in range(n)]). Well, it happens that 256**i ends with a 6 for i > 0 (6*6=36) so that last digit is (s[0]*5 + sum(s)*6)%10. From this, you can see that the last digit depends on the sum of all the bytes. This nonlocal property is what makes converting to decimal harder.