你可以用这个:

project_files = []
file_extensions = ['txt','mdown','markdown']
for file_extension in file_extensions:
    project_files.extend(glob.glob(projectDir  + '*.' + file_extension))

也许我遗漏了一些东西但如果只是简单的glob也许你可以这样做?

projectFiles = glob.glob(os.path.join(projectDir, '*.{txt,mdown,markdown}'))

import glob
import pandas as pd

df1 = pd.DataFrame(columns=['A'])
for i in glob.glob('C:\dir\path\*.txt'):
    df1 = df1.append({'A': i}, ignore_index=True)
for i in glob.glob('C:\dir\path\*.mdown'):
    df1 = df1.append({'A': i}, ignore_index=True)
for i in glob.glob('C:\dir\path\*.markdown):
    df1 = df1.append({'A': i}, ignore_index=True)

import os    
import glob
import operator
from functools import reduce

types = ('*.jpg', '*.png', '*.jpeg')
lazy_paths = (glob.glob(os.path.join('my_path', t)) for t in types)
paths = reduce(operator.add, lazy_paths, [])

https://docs.python.org/3.5/library/functools.html#functools.reduce https://docs.python.org/3.5/library/operator.html#operator.add

也许有更好的办法，但是:

import glob
types = ('*.pdf', '*.cpp') # the tuple of file types
files_grabbed = []
for files in types:
    files_grabbed.extend(glob.glob(files))

# files_grabbed is the list of pdf and cpp files

也许还有其他的方法，所以等待别人提出更好的答案。

例如:

import glob
lst_img = []
base_dir = '/home/xy/img/'

# get all the jpg file in base_dir 
lst_img += glob.glob(base_dir + '*.jpg')
print lst_img
# ['/home/xy/img/2.jpg', '/home/xy/img/1.jpg']

# append all the png file in base_dir to lst_img
lst_img += glob.glob(base_dir + '*.png')
print lst_img
# ['/home/xy/img/2.jpg', '/home/xy/img/1.jpg', '/home/xy/img/3.png']

一个函数:

import glob
def get_files(base_dir='/home/xy/img/', lst_extension=['*.jpg', '*.png']):
    """
    :param base_dir:base directory
    :param lst_extension:lst_extension: list like ['*.jpg', '*.png', ...]
    :return:file lists like ['/home/xy/img/2.jpg','/home/xy/img/3.png']
    """
    lst_files = []
    for ext in lst_extension:
        lst_files += glob.glob(base_dir+ext)
    return lst_files