在Python中以扩展名.txt查找目录中的所有文件

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在Python中以扩展名.txt查找目录中的所有文件

2023-08-29 13:17| 来源: 网络整理| 查看: 265

如何在python中扩展名为.txt的目录中找到所有文件?

#1楼 import os import sys if len(sys.argv)==2: print('no params') sys.exit(1) dir = sys.argv[1] mask= sys.argv[2] files = os.listdir(dir); res = filter(lambda x: x.endswith(mask), files); print res #2楼

path.py是另一种替代方法: https : //github.com/jaraco/path.py

from path import path p = path('/path/to/the/directory') for f in p.files(pattern='*.txt'): print f #3楼

此代码使我的生活更简单。

import os fnames = ([file for root, dirs, files in os.walk(dir) for file in files if file.endswith('.txt') #or file.endswith('.png') or file.endswith('.pdf') ]) for fname in fnames: print(fname) #4楼 import os path = 'mypath/path' files = os.listdir(path) files_txt = [i for i in files if i.endswith('.txt')] #5楼

带有子目录的功能解决方案:

from fnmatch import filter from functools import partial from itertools import chain from os import path, walk print(*chain(*(map(partial(path.join, root), filter(filenames, "*.txt")) for root, _, filenames in walk("mydir")))) #6楼

使用fnmatch: https : //docs.python.org/2/library/fnmatch.html

import fnmatch import os for file in os.listdir('.'): if fnmatch.fnmatch(file, '*.txt'): print file #7楼

试试这个,这将递归地找到所有文件:

import glob, os os.chdir("H:\\wallpaper")# use whatever you directory #double\\ no single \ for file in glob.glob("**/*.psd", recursive = True):#your format print(file) #8楼

使用Python OS模块查找具有特定扩展名的文件。

简单的例子在这里:

import os # This is the path where you want to search path = r'd:' # this is extension you want to detect extension = '.txt' # this can be : .jpg .png .xls .log ..... for root, dirs_list, files_list in os.walk(path): for file_name in files_list: if os.path.splitext(file_name)[-1] == extension: file_name_path = os.path.join(root, file_name) print file_name print file_name_path # This is the full path of the filter file #9楼

Python具有执行此操作的所有工具:

import os the_dir = 'the_dir_that_want_to_search_in' all_txt_files = filter(lambda x: x.endswith('.txt'), os.listdir(the_dir)) #10楼

使用glob 。

>>> import glob >>> glob.glob('./*.txt') ['./outline.txt', './pip-log.txt', './test.txt', './testingvim.txt'] #11楼

这样的事情应该做的

for root, dirs, files in os.walk(directory): for file in files: if file.endswith('.txt'): print file #12楼

您可以使用glob :

import glob, os os.chdir("/mydir") for file in glob.glob("*.txt"): print(file)

或者只是os.listdir :

import os for file in os.listdir("/mydir"): if file.endswith(".txt"): print(os.path.join("/mydir", file))

或者如果要遍历目录,请使用os.walk :

import os for root, dirs, files in os.walk("/mydir"): for file in files: if file.endswith(".txt"): print(os.path.join(root, file)) #13楼

这样的事情会起作用:

>>> import os >>> path = '/usr/share/cups/charmaps' >>> text_files = [f for f in os.listdir(path) if f.endswith('.txt')] >>> text_files ['euc-cn.txt', 'euc-jp.txt', 'euc-kr.txt', 'euc-tw.txt', ... 'windows-950.txt'] #14楼

我喜欢os.walk() :

import os, os.path for root, dirs, files in os.walk(dir): for f in files: fullpath = os.path.join(root, f) if os.path.splitext(fullpath)[1] == '.txt': print fullpath

或使用发电机:

import os, os.path fileiter = (os.path.join(root, f) for root, _, files in os.walk(dir) for f in files) txtfileiter = (f for f in fileiter if os.path.splitext(f)[1] == '.txt') for txt in txtfileiter: print txt #15楼

以下是相同版本的更多版本,它们会产生稍微不同的结果:

glob.iglob() import glob for f in glob.iglob("/mydir/*/*.txt"): # generator, search immediate subdirectories print f glob.glob1() print glob.glob1("/mydir", "*.tx?") # literal_directory, basename_pattern fnmatch.filter() import fnmatch, os print fnmatch.filter(os.listdir("/mydir"), "*.tx?") # include dot-files #16楼

如果文件夹包含很多文件或内存是一个限制,请考虑使用生成器:

def yield_files_with_extensions(folder_path, file_extension): for _, _, files in os.walk(folder_path): for file in files: if file.endswith(file_extension): yield file

选项A:重复

for f in yield_files_with_extensions('.', '.txt'): print(f)

选项B:全部获取

files = [f for f in yield_files_with_extensions('.', '.txt')] #17楼

我建议您使用fnmatch和upper方法。 这样,您可以找到以下任意一项:

名称。 txt ; 名称。 TXT ; 名称。 文本

import fnmatch import os for file in os.listdir("/Users/Johnny/Desktop/MyTXTfolder"): if fnmatch.fnmatch(file.upper(), '*.TXT'): print(file) #18楼

为了从同一目录中名为“ data”的文件夹中获取“ .txt”文件名的数组,我通常使用以下简单代码行:

import os fileNames = [fileName for fileName in os.listdir("data") if fileName.endswith(".txt")] #19楼

您可以简单地使用pathlib的glob 1 :

import pathlib list(pathlib.Path('your_directory').glob('*.txt'))

或循环:

for txt_file in pathlib.Path('your_directory').glob('*.txt'): # do something with "txt_file"

如果您希望递归,则可以使用.glob('**/*.txt)

1pathlib模块包含在python 3.4的标准库中。 但是,即使在较旧的Python版本(即使用conda或pip )上,您也可以安装该模块的反向端口: pathlib和pathlib2 。

#20楼

可复制的解决方案,类似于ghostdog之一:

def get_all_filepaths(root_path, ext): """ Search all files which have a given extension within root_path. This ignores the case of the extension and searches subdirectories, too. Parameters ---------- root_path : str ext : str Returns ------- list of str Examples -------- >>> get_all_filepaths('/run', '.lock') ['/run/unattended-upgrades.lock', '/run/mlocate.daily.lock', '/run/xtables.lock', '/run/mysqld/mysqld.sock.lock', '/run/postgresql/.s.PGSQL.5432.lock', '/run/network/.ifstate.lock', '/run/lock/asound.state.lock'] """ import os all_files = [] for root, dirs, files in os.walk(root_path): for filename in files: if filename.lower().endswith(ext): all_files.append(os.path.join(root, filename)) return all_files #21楼

许多用户回答了os.walk答案,其中包括所有文件,还包括所有目录和子目录及其文件。

import os def files_in_dir(path, extension=''): """ Generator: yields all of the files in ending with \param path Absolute or relative path to inspect, \param extension [optional] Only yield files matching this, \yield [filenames] """ for _, dirs, files in os.walk(path): dirs[:] = [] # do not recurse directories. yield from [f for f in files if f.endswith(extension)] # Example: print all the .py files in './python' for filename in files_in_dir('./python', '*.py'): print("-", filename)

或者在不需要发电机的情况下关闭:

path, ext = "./python", ext = ".py" for _, _, dirfiles in os.walk(path): matches = (f for f in dirfiles if f.endswith(ext)) break for filename in matches: print("-", filename)

如果要将匹配用于其他内容,则可能需要使其成为列表而不是生成器表达式:

matches = [f for f in dirfiles if f.endswith(ext)] #22楼

这是带有extend()的一个

types = ('*.jpg', '*.png') images_list = [] for files in types: images_list.extend(glob.glob(os.path.join(path, files))) #23楼

使用for循环的一种简单方法:

import os dir = ["e","x","e"] p = os.listdir('E:') #path for n in range(len(p)): name = p[n] myfile = [name[-3],name[-2],name[-1]] #for .txt if myfile == dir : print(name) else: print("nops")

虽然这可以使它更加笼统。

#24楼

我做了一个测试(Python 3.6.4,W7x64),看哪个解决方案对于一个文件夹(没有子目录)最快,以获得具有特定扩展名的文件的完整文件路径列表。

简而言之,此任务os.listdir()是最快的,并且是次pathlib倍: os.walk() (有间断!),是pathlib 2.7倍,比pathlib快pathlib倍。 os.scandir()和glob快3.3倍。 请记住,当您需要递归结果时,这些结果将改变。 如果您复制/粘贴以下一种方法,请添加.lower(),否则在搜索.ext时找不到.EXT。

import os import pathlib import timeit import glob def a(): path = pathlib.Path().cwd() list_sqlite_files = [str(f) for f in path.glob("*.sqlite")] def b(): path = os.getcwd() list_sqlite_files = [f.path for f in os.scandir(path) if os.path.splitext(f)[1] == ".sqlite"] def c(): path = os.getcwd() list_sqlite_files = [os.path.join(path, f) for f in os.listdir(path) if f.endswith(".sqlite")] def d(): path = os.getcwd() os.chdir(path) list_sqlite_files = [os.path.join(path, f) for f in glob.glob("*.sqlite")] def e(): path = os.getcwd() list_sqlite_files = [os.path.join(path, f) for f in glob.glob1(str(path), "*.sqlite")] def f(): path = os.getcwd() list_sqlite_files = [] for root, dirs, files in os.walk(path): for file in files: if file.endswith(".sqlite"): list_sqlite_files.append( os.path.join(root, file) ) break print(timeit.timeit(a, number=1000)) print(timeit.timeit(b, number=1000)) print(timeit.timeit(c, number=1000)) print(timeit.timeit(d, number=1000)) print(timeit.timeit(e, number=1000)) print(timeit.timeit(f, number=1000))

结果:

# Python 3.6.4 0.431 0.515 0.161 0.548 0.537 0.274 #25楼

以Python方式将“ dataPath”文件夹中的所有“ .txt”文件名作为列表获取

from os import listdir from os.path import isfile, join path = "/dataPath/" onlyTxtFiles = [f for f in listdir(path) if isfile(join(path, f)) and f.endswith(".txt")] print onlyTxtFiles #26楼 Python v3.5 +

在递归函数中使用os.scandir的快速方法。 在文件夹和子文件夹中搜索具有指定扩展名的所有文件。

import os def findFilesInFolder(path, pathList, extension, subFolders = True): """ Recursive function to find all files of an extension type in a folder (and optionally in all subfolders too) path: Base directory to find files pathList: A list that stores all paths extension: File extension to find subFolders: Bool. If True, find files in all subfolders under path. If False, only searches files in the specified folder """ try: # Trapping a OSError: File permissions problem I believe for entry in os.scandir(path): if entry.is_file() and entry.path.endswith(extension): pathList.append(entry.path) elif entry.is_dir() and subFolders: # if its a directory, then repeat process as a nested function pathList = findFilesInFolder(entry.path, pathList, extension, subFolders) except OSError: print('Cannot access ' + path +'. Probably a permissions error') return pathList dir_name = r'J:\myDirectory' extension = ".txt" pathList = [] pathList = findFilesInFolder(dir_name, pathList, extension, True) 2019年4月更新

如果要搜索包含10,000s个文件的目录,则附加到列表的效率将降低。 “屈服”结果是一个更好的解决方案。 我还提供了一个将输出转换为Pandas Dataframe的功能。

import os import re import pandas as pd import numpy as np def findFilesInFolderYield(path, extension, containsTxt='', subFolders = True, excludeText = ''): """ Recursive function to find all files of an extension type in a folder (and optionally in all subfolders too) path: Base directory to find files extension: File extension to find. e.g. 'txt'. Regular expression. Or 'ls\d' to match ls1, ls2, ls3 etc containsTxt: List of Strings, only finds file if it contains this text. Ignore if '' (or blank) subFolders: Bool. If True, find files in all subfolders under path. If False, only searches files in the specified folder excludeText: Text string. Ignore if ''. Will exclude if text string is in path. """ if type(containsTxt) == str: # if a string and not in a list containsTxt = [containsTxt] myregexobj = re.compile('\.' + extension + '$') # Makes sure the file extension is at the end and is preceded by a . try: # Trapping a OSError or FileNotFoundError: File permissions problem I believe for entry in os.scandir(path): if entry.is_file() and myregexobj.search(entry.path): # bools = [True for txt in containsTxt if txt in entry.path and (excludeText == '' or excludeText not in entry.path)] if len(bools)== len(containsTxt): yield entry.stat().st_size, entry.stat().st_atime_ns, entry.stat().st_mtime_ns, entry.stat().st_ctime_ns, entry.path elif entry.is_dir() and subFolders: # if its a directory, then repeat process as a nested function yield from findFilesInFolderYield(entry.path, extension, containsTxt, subFolders) except OSError as ose: print('Cannot access ' + path +'. Probably a permissions error ', ose) except FileNotFoundError as fnf: print(path +' not found ', fnf) def findFilesInFolderYieldandGetDf(path, extension, containsTxt, subFolders = True, excludeText = ''): """ Converts returned data from findFilesInFolderYield and creates and Pandas Dataframe. Recursive function to find all files of an extension type in a folder (and optionally in all subfolders too) path: Base directory to find files extension: File extension to find. e.g. 'txt'. Regular expression. Or 'ls\d' to match ls1, ls2, ls3 etc containsTxt: List of Strings, only finds file if it contains this text. Ignore if '' (or blank) subFolders: Bool. If True, find files in all subfolders under path. If False, only searches files in the specified folder excludeText: Text string. Ignore if ''. Will exclude if text string is in path. """ fileSizes, accessTimes, modificationTimes, creationTimes , paths = zip(*findFilesInFolderYield(path, extension, containsTxt, subFolders)) df = pd.DataFrame({ 'FLS_File_Size':fileSizes, 'FLS_File_Access_Date':accessTimes, 'FLS_File_Modification_Date':np.array(modificationTimes).astype('timedelta64[ns]'), 'FLS_File_Creation_Date':creationTimes, 'FLS_File_PathName':paths, }) df['FLS_File_Modification_Date'] = pd.to_datetime(df['FLS_File_Modification_Date'],infer_datetime_format=True) df['FLS_File_Creation_Date'] = pd.to_datetime(df['FLS_File_Creation_Date'],infer_datetime_format=True) df['FLS_File_Access_Date'] = pd.to_datetime(df['FLS_File_Access_Date'],infer_datetime_format=True) return df ext = 'txt' # regular expression containsTxt=[] path = 'C:\myFolder' df = findFilesInFolderYieldandGetDf(path, ext, containsTxt, subFolders = True)


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