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]   

def baseConverter(x, b):
    s = ""
    d = string.printable.upper()
    while x > 0:
        s += d[x%b]
        x = x / b
    return s[::-1]

def base(decimal ,base) :
    list = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
    other_base = ""
    while decimal != 0 :
        other_base = list[decimal % base] + other_base
        decimal    = decimal / base
    if other_base == "":
        other_base = "0"
    return other_base

print base(31 ,16)

输出:

“1 f”

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.

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()

您可以使用我的项目中的baseconv.py: https://github.com/semente/python-baseconv

示例用法:

>>> from baseconv import BaseConverter
>>> base20 = BaseConverter('0123456789abcdefghij')
>>> base20.encode(1234)
'31e'
>>> base20.decode('31e')
'1234'
>>> base20.encode(-1234)
'-31e'
>>> base20.decode('-31e')
'-1234'
>>> base11 = BaseConverter('0123456789-', sign='$')
>>> base11.encode('$1234')
'$-22'
>>> base11.decode('$-22')
'$1234'

有一些bultin转换器，例如baseconv。base2 baseconv。Base16和baseconv.base64。