如何在 python 中将 ascii 值列表转换为字符串？

You are probably looking for 'chr()':

>>> L = [104, 101, 108, 108, 111, 44, 32, 119, 111, 114, 108, 100]
>>> ''.join(chr(i) for i in L)
'hello, world'

l = [83, 84, 65, 67, 75]


s = "".join([chr(c) for c in l])


print s

Same basic solution as others, but I personally prefer to use map instead of the list comprehension:

>>> L = [104, 101, 108, 108, 111, 44, 32, 119, 111, 114, 108, 100]
>>> ''.join(map(chr,L))
'hello, world'

import array
def f7(list):
return array.array('B', list).tostring()

from Python Patterns - An Optimization Anecdote

def working_ascii():
"""
G    r   e    e    t    i     n   g    s    !
71, 114, 101, 101, 116, 105, 110, 103, 115, 33
"""


hello = [71, 114, 101, 101, 116, 105, 110, 103, 115, 33]
pmsg = ''.join(chr(i) for i in hello)
print(pmsg)


for i in range(33, 256):
print(" ascii: {0} char: {1}".format(i, chr(i)))


working_ascii()

Perhaps not as Pyhtonic a solution, but easier to read for noobs like me:

charlist = [34, 38, 49, 67, 89, 45, 103, 105, 119, 125]
mystring = ""
for char in charlist:
mystring = mystring + chr(char)
print mystring

Question = [67, 121, 98, 101, 114, 71, 105, 114, 108, 122]
print(''.join(chr(number) for number in Question))

You can use bytes(list).decode() to do this - and list(string.encode()) to get the values back.

I've timed the existing answers. Code to reproduce is below. TLDR is that bytes(seq).decode() is by far the fastest. Results here:

 test_bytes_decode : 12.8046 μs/rep
test_join_map : 62.1697 μs/rep
test_array_library : 63.7088 μs/rep
test_join_list : 112.021 μs/rep
test_join_iterator : 171.331 μs/rep
test_naive_add : 286.632 μs/rep

Setup was CPython 3.8.2 (32-bit), Windows 10, i7-2600 3.4GHz

Interesting observations:

• The "official" fastest answer (as reposted by Toni Ruža) is now out of date for Python 3, but once fixed is still basically tied for second place
• Joining a mapped sequence is almost twice as fast as a list comprehension
• The list comprehension is faster than its non-list counterpart

Code to reproduce is here:

import array, string, timeit, random
from collections import namedtuple


# Thomas Wouters (https://stackoverflow.com/a/180615/13528444)
def test_join_iterator(seq):
return ''.join(chr(c) for c in seq)


# community wiki (https://stackoverflow.com/a/181057/13528444)
def test_join_map(seq):
return ''.join(map(chr, seq))


# Thomas Vander Stichele (https://stackoverflow.com/a/180617/13528444)
def test_join_list(seq):
return ''.join([chr(c) for c in seq])


# Toni Ruža (https://stackoverflow.com/a/184708/13528444)
# Also from https://www.python.org/doc/essays/list2str/
def test_array_library(seq):
return array.array('b', seq).tobytes().decode()  # Updated from tostring() for Python 3


# David White (https://stackoverflow.com/a/34246694/13528444)
def test_naive_add(seq):
output = ''
for c in seq:
output += chr(c)
return output


# Timo Herngreen (https://stackoverflow.com/a/55509509/13528444)
def test_bytes_decode(seq):
return bytes(seq).decode()


RESULT = ''.join(random.choices(string.printable, None, k=1000))
INT_SEQ = [ord(c) for c in RESULT]
REPS=10000


if __name__ == '__main__':
tests = {
name: test
for (name, test) in globals().items()
if name.startswith('test_')
}


Result = namedtuple('Result', ['name', 'passed', 'time', 'reps'])
results = [
Result(
name=name,
passed=test(INT_SEQ) == RESULT,
time=timeit.Timer(
stmt=f'{name}(INT_SEQ)',
setup=f'from __main__ import INT_SEQ, {name}'
).timeit(REPS) / REPS,
reps=REPS)
for name, test in tests.items()
]
results.sort(key=lambda r: r.time if r.passed else float('inf'))


def seconds_per_rep(secs):
(unit, amount) = (
('s', secs) if secs > 1
else ('ms', secs * 10 ** 3) if secs > (10 ** -3)
else ('μs', secs * 10 ** 6) if secs > (10 ** -6)
else ('ns', secs * 10 ** 9))
return f'{amount:.6} {unit}/rep'


max_name_length = max(len(name) for name in tests)
for r in results:
print(
r.name.rjust(max_name_length),
':',
'failed' if not r.passed else seconds_per_rep(r.time))