Python os.path.splitext
时间: 2024-04-24 10:26:08 浏览: 9
`os.path.splitext` 是 Python 中的一个函数,用于将文件路径分割成文件名和扩展名。它接受一个文件路径作为参数,并返回一个包含文件名和扩展名的元组。
例如,假设我们有一个文件路径为 `/path/to/file.txt`,我们可以使用 `os.path.splitext` 来获取文件名和扩展名:
```python
import os
filepath = '/path/to/file.txt'
filename, extension = os.path.splitext(filepath)
print("文件名:", filename)
print("扩展名:", extension)
```
输出结果将是:
```
文件名: /path/to/file
扩展名: .txt
```
这样我们就可以方便地获取文件的文件名和扩展名了。
相关问题
python os.path.splitext
os.path.splitext是Python中的一个函数,用于将一个文件路径分割成文件名和扩展名两部分。函数的返回值是一个元组,第一个元素是文件名,第二个元素是扩展名。例如,os.path.splitext('/path/to/file.txt')将返回('/path/to/file', '.txt')。
python os.path
The `os.path` module in Python provides functions for working with file paths and directories. It includes functions for checking if a file or directory exists, joining paths together, splitting paths into their component parts, and more.
Some of the commonly used functions in `os.path` module are:
1. `os.path.join()`: This function joins one or more path components into a single path. For example, `os.path.join('/usr', 'bin', 'python')` will return the path `/usr/bin/python`.
2. `os.path.exists()`: This function checks if a file or directory exists. For example, `os.path.exists('/usr/bin/python')` will return `True` if the file exists, and `False` if it doesn't.
3. `os.path.abspath()`: This function returns the absolute path of a file or directory. For example, `os.path.abspath('file.txt')` will return the absolute path of the file `file.txt`.
4. `os.path.basename()`: This function returns the base name of a file or directory. For example, `os.path.basename('/usr/bin/python')` will return `python`.
5. `os.path.dirname()`: This function returns the directory name of a file or directory. For example, `os.path.dirname('/usr/bin/python')` will return `/usr/bin`.
6. `os.path.splitext()`: This function splits a file path into its base name and extension. For example, `os.path.splitext('file.txt')` will return `('file', '.txt')`.
These functions make it easy to work with file paths and directories in Python, allowing you to write more robust and flexible scripts.