如何在Python中读取文件的每一行,并将每一行存储为列表中的元素?

我想逐行读取文件,并将每一行附加到列表的末尾。


当前回答

将文件行读取到列表中的干净和Python方式


首先也是最重要的一点,你应该专注于以一种高效的方式打开文件并阅读其内容。下面是一个我个人不喜欢的方式的例子:

infile = open('my_file.txt', 'r')  # Open the file for reading.

data = infile.read()  # Read the contents of the file.

infile.close()  # Close the file since we're done using it.

相反,我更喜欢以下打开文件的方法,既可以读也可以写非常干净,不需要关闭文件的额外步骤一旦您使用完它。在下面的语句中,我们将打开文件用于读取,并将其分配给变量infile一旦代码在此语句已完成运行,文件将自动关闭。

# Open the file for reading.
with open('my_file.txt', 'r') as infile:

    data = infile.read()  # Read the contents of the file into memory.

现在我们需要专注于将这些数据引入Python列表,因为它们是可迭代的、高效的和灵活的。在您的案例中,期望的目标是将文本文件的每一行放入一个单独的元素中。为此,我们将使用splitlines()方法,如下所示:

# Return a list of the lines, breaking at line boundaries.
my_list = data.splitlines()

最终产品:

# Open the file for reading.
with open('my_file.txt', 'r') as infile:

    data = infile.read()  # Read the contents of the file into memory.

# Return a list of the lines, breaking at line boundaries.
my_list = data.splitlines()

测试我们的代码:

文本文件的内容:

     A fost odatã ca-n povesti,
     A fost ca niciodatã,
     Din rude mãri împãrãtesti,
     O prea frumoasã fatã.

打印测试报表:

    print my_list  # Print the list.

    # Print each line in the list.
    for line in my_list:
        print line

    # Print the fourth element in this list.
    print my_list[3]

输出(因unicode字符而不同):

     ['A fost odat\xc3\xa3 ca-n povesti,', 'A fost ca niciodat\xc3\xa3,',
     'Din rude m\xc3\xa3ri \xc3\xaemp\xc3\xa3r\xc3\xa3testi,', 'O prea
     frumoas\xc3\xa3 fat\xc3\xa3.']

     A fost odatã ca-n povesti, A fost ca niciodatã, Din rude mãri
     împãrãtesti, O prea frumoasã fatã.

     O prea frumoasã fatã.

其他回答

另一个选项是numpy.genfromttxt,例如:

import numpy as np
data = np.genfromtxt("yourfile.dat",delimiter="\n")

这将使数据成为一个NumPy数组,其行数与文件中的行数相同。

下面是我用来简化文件I/O的Python(3)助手库类:

import os

# handle files using a callback method, prevents repetition
def _FileIO__file_handler(file_path, mode, callback = lambda f: None):
  f = open(file_path, mode)
  try:
    return callback(f)
  except Exception as e:
    raise IOError("Failed to %s file" % ["write to", "read from"][mode.lower() in "r rb r+".split(" ")])
  finally:
    f.close()


class FileIO:
  # return the contents of a file
  def read(file_path, mode = "r"):
    return __file_handler(file_path, mode, lambda rf: rf.read())

  # get the lines of a file
  def lines(file_path, mode = "r", filter_fn = lambda line: len(line) > 0):
    return [line for line in FileIO.read(file_path, mode).strip().split("\n") if filter_fn(line)]

  # create or update a file (NOTE: can also be used to replace a file's original content)
  def write(file_path, new_content, mode = "w"):
    return __file_handler(file_path, mode, lambda wf: wf.write(new_content))

  # delete a file (if it exists)
  def delete(file_path):
    return os.remove() if os.path.isfile(file_path) else None

然后使用FileIO.lines函数,如下所示:

file_ext_lines = FileIO.lines("./path/to/file.ext"):
for i, line in enumerate(file_ext_lines):
  print("Line {}: {}".format(i + 1, line))

请记住,mode(默认为“r”)和filter_fn(默认为检查空行)参数是可选的。

您甚至可以删除read、write和delete方法,只保留FileIO.line,甚至将其转换为一个单独的方法read_lines。

使用Python 2和Python 3读写文本文件;它适用于Unicode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# Define data
lines = ['     A first string  ',
         'A Unicode sample: €',
         'German: äöüß']

# Write text file
with open('file.txt', 'w') as fp:
    fp.write('\n'.join(lines))

# Read text file
with open('file.txt', 'r') as fp:
    read_lines = fp.readlines()
    read_lines = [line.rstrip('\n') for line in read_lines]

print(lines == read_lines)

注意事项:

with是所谓的上下文管理器。它确保打开的文件再次关闭。这里的所有解决方案,只要简单地生成.strip()或.rstrip(),就无法再现线条,因为它们也会剥离空白。

常用文件结尾

.txt

更高级的文件写入/读取

CSV:超简单格式(读写)JSON:适合编写人类可读数据;非常常用(读写)YAML:YAML是JSON的超集,但更易于阅读(读写,JSON和YAML的比较)pickle:Python序列化格式(读写)MessagePack(Python包):更紧凑的表示(读写)HDF5(Python包):适合矩阵(读写)XML:也存在*叹息*(读写)

对于您的应用程序,以下内容可能很重要:

其他编程语言的支持读/写性能紧凑性(文件大小)

另请参阅:数据序列化格式的比较

如果您正在寻找创建配置文件的方法,您可能需要阅读我的Python配置文件短文。

Python 3.4中引入了pathlib,它有一种非常方便的方法来从文件中读取文本,如下所示:

from pathlib import Path
p = Path('my_text_file')
lines = p.read_text().splitlines()

(splitlines调用将其从包含文件全部内容的字符串转换为文件中的行列表。)

pathlib有很多方便的地方。readtext很好,很简洁,您不必担心打开和关闭文件。如果您只需一次将文件全部读入,这是一个不错的选择。

如果要包含以下内容:

with open(fname) as f:
    content = f.readlines()

如果不希望包含:

with open(fname) as f:
    content = f.read().splitlines()