我写了这个函数，我用它来编码不同的碱基。我还提供了通过值“offset”来移动结果的方法。如果你想编码到64进制以上，但保持可显示字符(如95进制)，这是有用的。

我还试图避免反转输出“列表”，并尽量减少计算操作。pow(base)数组是根据需要计算的，并保留用于对函数的其他调用。

输出是一个二进制字符串

pows = {}

######################################################
def encode_base(value,
                base = 10,
                offset = 0) :

    """
    Encode value into a binary string, according to the desired base.

    Input :
        value : Any positive integer value
        offset : Shift the encoding (eg : Starting at chr(32))
        base : The base in which we'd like to encode the value

    Return : Binary string

    Example : with : offset = 32, base = 64

              100 -> !D
              200 -> #(
    """

    # Determine the number of loops
    try :
        pb = pows[base]

    except KeyError :
        pb = pows[base] = {n : base ** n for n in range(0, 8) if n < 2 ** 48 -1}

    for n in pb :
        if value < pb[n] :
            n -= 1
            break

    out = []
    while n + 1 :
        b = pb[n]
        out.append(chr(offset + value // b))
        n -= 1
        value %= b

    return ''.join(out).encode()

令人惊讶的是，人们给出的答案只能转换成小基数(比英语字母表的长度还小)。没有人试图给出一个可以转换为2到无穷任意底数的解。

这里有一个超级简单的解决方案:

def numberToBase(n, b):
    if n == 0:
        return [0]
    digits = []
    while n:
        digits.append(int(n % b))
        n //= b
    return digits[::-1]

所以如果你需要把一个超级大的数转换成577的底数，

numberToBase(67854 ** 15 - 102,577)，将为您提供正确的解决方案: [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]，

你以后可以把它转换成任何你想要的基数

at some point of time you will notice that sometimes there is no built-in library function to do things that you want, so you need to write your own. If you disagree, post you own solution with a built-in function which can convert a base 10 number to base 577. this is due to lack of understanding what a number in some base means. I encourage you to think for a little bit why base in your method works only for n <= 36. Once you are done, it will be obvious why my function returns a list and has the signature it has.

"{0:b}".format(100) # bin: 1100100
"{0:x}".format(100) # hex: 64
"{0:o}".format(100) # oct: 144

def base_changer(number,base):
    buff=97+abs(base-10)
    dic={};buff2='';buff3=10
    for i in range(97,buff+1):
        dic[buff3]=chr(i)
        buff3+=1   
    while(number>=base):
        mod=int(number%base)
        number=int(number//base)
        if (mod) in dic.keys():
            buff2+=dic[mod]
            continue
        buff2+=str(mod)
    if (number) in dic.keys():
        buff2+=dic[number]
    else:
        buff2+=str(number)

    return buff2[::-1]   

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。

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.