你应该用humanize。

>>> humanize.naturalsize(1000000)
'1.0 MB'
>>> humanize.naturalsize(1000000, binary=True)
'976.6 KiB'
>>> humanize.naturalsize(1000000, gnu=True)
'976.6K'

参考: https://pypi.org/project/humanize/

def human_readable_data_quantity(quantity, multiple=1024):
    if quantity == 0:
        quantity = +0
    SUFFIXES = ["B"] + [i + {1000: "B", 1024: "iB"}[multiple] for i in "KMGTPEZY"]
    for suffix in SUFFIXES:
        if quantity < multiple or suffix == SUFFIXES[-1]:
            if suffix == SUFFIXES[0]:
                return "%d%s" % (quantity, suffix)
            else:
                return "%.1f%s" % (quantity, suffix)
        else:
            quantity /= multiple

你应该用humanize。

>>> humanize.naturalsize(1000000)
'1.0 MB'
>>> humanize.naturalsize(1000000, binary=True)
'976.6 KiB'
>>> humanize.naturalsize(1000000, gnu=True)
'976.6K'

参考: https://pypi.org/project/humanize/

现代Django有自模板标签filesizeformat:

将值格式化为人类可读的文件大小(即:“13 KB”，“4.1 MB”，“102字节”等)。

例如:

{{ value|filesizeformat }}

如果值是123456789，输出将是117.7 MB。

更多信息:https://docs.djangoproject.com/en/1.10/ref/templates/builtins/#filesizeformat

使用1000或kibibytes的幂将更符合标准:

def sizeof_fmt(num, use_kibibyte=True):
    base, suffix = [(1000.,'B'),(1024.,'iB')][use_kibibyte]
    for x in ['B'] + map(lambda x: x+suffix, list('kMGTP')):
        if -base < num < base:
            return "%3.1f %s" % (num, x)
        num /= base
    return "%3.1f %s" % (num, x)

附注:永远不要相信一个以K(大写)后缀打印数千的库。

我喜欢senderle的十进制版本的固定精度，所以这里有一种与上面joctee的答案的混合(你知道你可以取非整数底数的对数吗?):

from math import log
def human_readable_bytes(x):
    # hybrid of https://stackoverflow.com/a/10171475/2595465
    #      with https://stackoverflow.com/a/5414105/2595465
    if x == 0: return '0'
    magnitude = int(log(abs(x),10.24))
    if magnitude > 16:
        format_str = '%iP'
        denominator_mag = 15
    else:
        float_fmt = '%2.1f' if magnitude % 3 == 1 else '%1.2f'
        illion = (magnitude + 1) // 3
        format_str = float_fmt + ['', 'K', 'M', 'G', 'T', 'P'][illion]
    return (format_str % (x * 1.0 / (1024 ** illion))).lstrip('0')