Home > Backend Development > Python Tutorial > How to Efficiently Remove Newline Characters When Reading Files in Python?

How to Efficiently Remove Newline Characters When Reading Files in Python?

Patricia Arquette
Release: 2024-12-16 20:32:17
Original
940 people have browsed it

How to Efficiently Remove Newline Characters When Reading Files in Python?

Stripping Newline Characters from File Reads in Python

When using the readlines() method to read a file in Python, the resulting list of strings contains newline characters at the end of each element. To obtain the data without these newlines, several methods are available:

str.splitlines()

This method splits the entire file content into a list of strings, preserving the lines' original order without the newline characters.

temp = file.read().splitlines()
Copy after login

Manual Stripping

Individually removing the newline characters from each string in the list is another option.

temp = [line[:-1] for line in file]
Copy after login

Note: This approach assumes the file has a newline character at the end; otherwise, the last line will be truncated.

Enforcing Newline at End of File

If the file may not have a trailing newline, a newline can be manually added before reading the file.

with open(the_file, 'r+') as f:
    f.seek(-1, 2)  # Navigate to the file end
    if f.read(1) != '\n':
        f.write('\n')        # Insert newline if missing
        f.flush()
        f.seek(0)
    lines = [line[:-1] for line in f]
Copy after login

Other Alternative Stripping Methods

  • [line.rstrip('n') for line in file]
  • [line[:-(line[-1] == 'n') or len(line) 1] for line in file]

Remember that the readlines() method iterates through the file line by line, retaining the newlines. To ensure an exact copy of the file, use writelines() without adding newlines.

The above is the detailed content of How to Efficiently Remove Newline Characters When Reading Files in Python?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Latest Articles by Author
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template