从前面的答案

glob('*.jpg') + glob('*.png')

这是一个较短的问题，

from glob import glob
extensions = ['jpg', 'png'] # to find these filename extensions

# Method 1: loop one by one and extend to the output list
output = []
[output.extend(glob(f'*.{name}')) for name in extensions]
print(output)

# Method 2: even shorter
# loop filename extension to glob() it and flatten it to a list
output = [p for p2 in [glob(f'*.{name}') for name in extensions] for p in p2]
print(output)

链接结果:

import itertools as it, glob

def multiple_file_types(*patterns):
    return it.chain.from_iterable(glob.iglob(pattern) for pattern in patterns)

然后:

for filename in multiple_file_types("*.txt", "*.sql", "*.log"):
    # do stuff

一句俏皮话，只是为了好玩。

folder = "C:\\multi_pattern_glob_one_liner"
files = [item for sublist in [glob.glob(folder + ext) for ext in ["/*.txt", "/*.bat"]] for item in sublist]

输出:

['C:\\multi_pattern_glob_one_liner\\dummy_txt.txt', 'C:\\multi_pattern_glob_one_liner\\dummy_bat.bat']

根据我从经验测试中得到的结果，那一团东西。Glob并不是通过扩展名过滤文件的更好方法。其中一些原因是:

通配符“语言”不允许对多个扩展进行完美的规范。 前一点导致根据文件扩展名获得不正确的结果。 经经验证明，通配符法比大多数其他方法都要慢。 即使这很奇怪，甚至其他文件系统对象也可以有“扩展名”，文件夹也是如此。

我已经测试了以下4种不同的方法，通过扩展名过滤文件，并将它们放在一个列表中:

from glob import glob, iglob
from re import compile, findall
from os import walk


def glob_with_storage(args):

    elements = ''.join([f'[{i}]' for i in args.extensions])
    globs = f'{args.target}/**/*{elements}'
    results = glob(globs, recursive=True)

    return results


def glob_with_iteration(args):

    elements = ''.join([f'[{i}]' for i in args.extensions])
    globs = f'{args.target}/**/*{elements}'
    results = [i for i in iglob(globs, recursive=True)]

    return results


def walk_with_suffixes(args):

    results = []
    for r, d, f in walk(args.target):
        for ff in f:
            for e in args.extensions:
                if ff.endswith(e):
                    results.append(path_join(r,ff))
                    break
    return results


def walk_with_regs(args):

    reg = compile('|'.join([f'{i}$' for i in args.extensions]))

    results = []
    for r, d, f in walk(args.target):
        for ff in f:
            if len(findall(reg,ff)):
                results.append(path_join(r, ff))

    return results

通过在我的笔记本电脑上运行上面的代码，我得到了以下自动解释的结果。

Elapsed time for '7 times glob_with_storage()':  0.365023 seconds.
mean   : 0.05214614
median : 0.051861
stdev  : 0.001492152
min    : 0.050864
max    : 0.054853

Elapsed time for '7 times glob_with_iteration()':  0.360037 seconds.
mean   : 0.05143386
median : 0.050864
stdev  : 0.0007847381
min    : 0.050864
max    : 0.052859

Elapsed time for '7 times walk_with_suffixes()':  0.26529 seconds.
mean   : 0.03789857
median : 0.037899
stdev  : 0.0005759071
min    : 0.036901
max    : 0.038896

Elapsed time for '7 times walk_with_regs()':  0.290223 seconds.
mean   : 0.04146043
median : 0.040891
stdev  : 0.0007846776
min    : 0.04089
max    : 0.042885

Results sizes:
0 2451
1 2451
2 2446
3 2446

Differences between glob() and walk():
0 E:\x\y\z\venv\lib\python3.7\site-packages\Cython\Includes\numpy
1 E:\x\y\z\venv\lib\python3.7\site-packages\Cython\Utility\CppSupport.cpp
2 E:\x\y\z\venv\lib\python3.7\site-packages\future\moves\xmlrpc
3 E:\x\y\z\venv\lib\python3.7\site-packages\Cython\Includes\libcpp
4 E:\x\y\z\venv\lib\python3.7\site-packages\future\backports\xmlrpc

Elapsed time for 'main':  1.317424 seconds.

通过扩展名过滤文件的最快方法，甚至是最丑陋的方法。也就是说，使用endswith()方法进行嵌套for循环和字符串比较。

此外，正如您所看到的，配色算法(使用模式E:\x\y\z\**/*[py][pyc])即使只给出两个扩展名(py和pyc)也会返回不正确的结果。

一个glob，许多扩展…但不完美的解决方案(可能匹配其他文件)。

filetypes = ['tif', 'jpg']

filetypes = zip(*[list(ft) for ft in filetypes])
filetypes = ["".join(ch) for ch in filetypes]
filetypes = ["[%s]" % ch for ch in filetypes]
filetypes = "".join(filetypes) + "*"
print(filetypes)
# => [tj][ip][fg]*

glob.glob("/path/to/*.%s" % filetypes)

files = glob.glob('*.txt')
files.extend(glob.glob('*.dat'))