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How to Delete Files & Folders in Python

Learn multiple methods to delete files and folders in Python using os, shutil, and pathlib modules. Complete guide with error handling and best practices for safe file operations.

Question

How to delete a file or folder in Python?

NeuroAgent

Python provides several methods to delete files and folders using the os, shutil, and pathlib modules. The most common approaches include os.remove() for files, os.rmdir() for empty directories, shutil.rmtree() for non-empty directories, and the more modern pathlib.Path.unlink() and pathlib.Path.rmdir() methods for object-oriented file operations.

Contents

Deleting Files in Python

Using os.remove()

The os.remove() function is the standard way to delete files in Python. It takes a file path as an argument and permanently removes the file.

python
import os

# Delete a single file
file_path = '/path/to/your/file.txt'
os.remove(file_path)

# Delete multiple files in a directory
directory = '/path/to/directory'
for filename in os.listdir(directory):
    file_path = os.path.join(directory, filename)
    if os.path.isfile(file_path):
        os.remove(file_path)

Important: os.remove() can only delete files, not directories. Attempting to delete a directory will result in a PermissionError or IsADirectoryError.

Using pathlib.Path.unlink()

The pathlib module provides a more modern, object-oriented approach to file operations. The unlink() method is equivalent to os.remove().

python
from pathlib import Path

# Delete a single file
file_path = Path('/path/to/your/file.txt')
file_path.unlink()

# Delete multiple files using pathlib
directory = Path('/path/to/directory')
for file_path in directory.glob('*'):
    if file_path.is_file():
        file_path.unlink()

The pathlib approach is generally preferred in modern Python code as it provides better path handling and cross-platform compatibility.

Deleting Directories in Python

Removing Empty Directories

For empty directories, you can use either os.rmdir() or pathlib.Path.rmdir().

python
# Using os.rmdir()
import os

dir_path = '/path/to/empty/directory'
os.rmdir(dir_path)

# Using pathlib.Path.rmdir()
from pathlib import Path

dir_path = Path('/path/to/empty/directory')
dir_path.rmdir()

Warning: Both methods will fail if the directory is not empty, raising an OSError with the message “Directory not empty”.

Removing Non-Empty Directories

To delete directories that contain files and subdirectories, you need to use shutil.rmtree().

python
import shutil

# Delete a non-empty directory
dir_path = '/path/to/non-empty/directory'
shutil.rmtree(dir_path)

# Delete with error handling
try:
    shutil.rmtree(dir_path)
except OSError as e:
    print(f"Error deleting directory: {e}")

The shutil.rmtree() function recursively removes all files and subdirectories within the specified directory, making it powerful but potentially dangerous if used carelessly.

Error Handling and Best Practices

Basic Error Handling

Always implement proper error handling when performing file operations:

python
import os
from pathlib import Path

# Using try-except with os.remove()
try:
    os.remove('/path/to/file.txt')
except FileNotFoundError:
    print("File not found")
except PermissionError:
    print("Permission denied")
except OSError as e:
    print(f"Error: {e}")

# Using pathlib with error handling
file_path = Path('/path/to/file.txt')
try:
    file_path.unlink()
except FileNotFoundError:
    print("File not found")
except PermissionError:
    print("Permission denied")

Advanced Error Handling with Custom Handlers

For more complex scenarios, such as handling locked files or permission issues during recursive deletion, you can use custom error handlers:

python
import shutil
import os
import stat

def handle_readonly(func, path, exc_info):
    """Handle read-only files by changing permissions"""
    os.chmod(path, stat.S_IWRITE)
    func(path)

# Delete directory with custom error handling
try:
    shutil.rmtree('/path/to/directory', onerror=handle_readonly)
except Exception as e:
    print(f"Failed to delete directory: {e}")

Safety Checks

Always verify paths before deletion:

python
import os

def safe_delete(path):
    """Safely delete a file or directory after verification"""
    if not os.path.exists(path):
        print(f"Path does not exist: {path}")
        return False
    
    if os.path.isfile(path):
        try:
            os.remove(path)
            print(f"File deleted: {path}")
            return True
        except Exception as e:
            print(f"Failed to delete file {path}: {e}")
            return False
    elif os.path.isdir(path):
        try:
            shutil.rmtree(path)
            print(f"Directory deleted: {path}")
            return True
        except Exception as e:
            print(f"Failed to delete directory {path}: {e}")
            return False
    else:
        print(f"Path is neither file nor directory: {path}")
        return False

Advanced Deletion Techniques

Bulk File Operations

Delete multiple files matching a pattern:

python
import glob
import os

# Delete all .txt files in a directory
directory = '/path/to/directory'
txt_files = glob.glob(os.path.join(directory, '*.txt'))
for file_path in txt_files:
    try:
        os.remove(file_path)
        print(f"Deleted: {file_path}")
    except Exception as e:
        print(f"Failed to delete {file_path}: {e}")

# Using pathlib for pattern matching
from pathlib import Path

directory = Path('/path/to/directory')
for file_path in directory.glob('*.txt'):
    try:
        file_path.unlink()
        print(f"Deleted: {file_path}")
    except Exception as e:
        print(f"Failed to delete {file_path}: {e}")

Conditional Deletion

Delete files based on certain conditions:

python
import os
from pathlib import Path
import time

# Delete files older than 7 days
directory = Path('/path/to/directory'
cutoff_time = time.time() - (7 * 24 * 60 * 60)  # 7 days ago

for file_path in directory.glob('*'):
    if file_path.is_file():
        file_mtime = file_path.stat().st_mtime
        if file_mtime < cutoff_time:
            try:
                file_path.unlink()
                print(f"Deleted old file: {file_path}")
            except Exception as e:
                print(f"Failed to delete {file_path}: {e}")

Interactive Deletion

Prompt user before deletion:

python
import shutil
from pathlib import Path

def interactive_delete(path):
    """Prompt user before deleting"""
    path_obj = Path(path)
    if not path_obj.exists():
        print(f"Path does not exist: {path}")
        return
    
    if path_obj.is_file():
        response = input(f"Delete file {path}? (y/N): ")
        if response.lower() == 'y':
            try:
                path_obj.unlink()
                print(f"File deleted: {path}")
            except Exception as e:
                print(f"Failed to delete file: {e}")
    else:
        response = input(f"Delete directory {path} and all its contents? (y/N): ")
        if response.lower() == 'y':
            try:
                shutil.rmtree(path)
                print(f"Directory deleted: {path}")
            except Exception as e:
                print(f"Failed to delete directory: {e}")

# Example usage
interactive_delete('/path/to/file_or_directory')

Comparing Different Methods

Here’s a comparison of the main deletion methods:

Method Module Purpose Handles Empty Directories Handles Non-Empty Directories Error Handling
os.remove() os Delete files Basic
os.rmdir() os Delete empty directories Basic
shutil.rmtree() shutil Delete non-empty directories Advanced
pathlib.Path.unlink() pathlib Delete files Basic
pathlib.Path.rmdir() pathlib Delete empty directories Basic

When to Use Each Method

  • os.remove() or pathlib.Path.unlink(): Use for simple file deletion in scripts that don’t need advanced path handling.
  • os.rmdir() or pathlib.Path.rmdir(): Use when you know directories are empty and want to fail fast if they’re not.
  • shutil.rmtree(): Use for complete directory removal when you need to delete everything recursively.
  • pathlib methods: Preferred in modern Python code for better readability, cross-platform compatibility, and object-oriented approach.

Performance Considerations

For performance-critical applications, consider the following:

python
import time
import os
from pathlib import Path

# Performance test for different methods
def test_performance():
    test_file = 'test_file.txt'
    
    # Create test file
    with open(test_file, 'w') as f:
        f.write('test content')
    
    # Test os.remove()
    start = time.time()
    os.remove(test_file)
    os_time = time.time() - start
    
    # Create test file again
    with open(test_file, 'w') as f:
        f.write('test content')
    
    # Test pathlib.unlink()
    start = time.time()
    Path(test_file).unlink()
    pathlib_time = time.time() - start
    
    print(f"os.remove(): {os_time:.6f}s")
    print(f"pathlib.unlink(): {pathlib_time:.6f}s")

test_performance()

Sources

  1. How can I delete a file or folder in Python? - Stack Overflow
  2. How to delete files and folders in Python - Python Engineer
  3. Delete (Remove) Files and Directories in Python - Pynative
  4. Delete a directory or file using Python - GeeksforGeeks
  5. Python Delete File – How to Remove Files and Folders - freeCodeCamp
  6. How to Delete (Remove) Files and Directories in Python - Linuxize
  7. How can I delete a file or folder in Python? - SourceBae
  8. Python Delete a File or Directory: A Complete Guide • datagy
  9. Delete File or Folder in Python? - Spark By Examples
  10. Delete Files from Python: 6 Easy Methods Explained – Master Data Skills + AI

Conclusion

In summary, Python offers multiple approaches to delete files and directories, each with specific use cases and advantages. For file deletion, both os.remove() and pathlib.Path.unlink() work well, with the latter being more modern and readable. For directory deletion, use os.rmdir() or pathlib.Path.rmdir() for empty directories and shutil.rmtree() for non-empty ones. Always implement proper error handling and consider using the pathlib module for better cross-platform compatibility and code readability. Remember to verify paths before deletion and implement appropriate safety measures to prevent accidental data loss.