
164 views
Wildcards in Python
The Python wildcards are not a built-in concept like they are in some other programming languages or in command-line shells. However, you can achieve similar functionality using various libraries and techniques. Here are a few ways to implement wildcard-like behavior in Python:
- Using the
fnmatch
Module:
Thefnmatch
module in Python allows you to perform Unix shell-style wildcard pattern matching on strings. It’s handy for matching file names or other strings against patterns with wildcards. Here’s an example:
Python
import fnmatch
# List of file names
files = ["file1.txt", "file2.jpg", "file3.py", "document.docx"]
# Match files with a "*.txt" extension
txt_files = [file for file in files if fnmatch.fnmatch(file, "*.txt")]
print(txt_files)
This will match and print ["file1.txt"]
.
- Using Regular Expressions:
Regular expressions (regex) provide powerful pattern matching capabilities. You can use regex to implement more complex wildcard patterns. There
module in Python allows you to work with regular expressions. For example:
Python
import re
# List of strings
strings = ["apple", "banana", "cherry", "date"]
# Match strings starting with "b" or "c"
pattern = re.compile(r"^[bc]")
matched_strings = [s for s in strings if pattern.match(s)]
print(matched_strings)
This will match and print ["banana", "cherry"]
.
- Using the
glob
Module:
Theglob
module in Python is commonly used to search for files using wildcard patterns. It allows you to find files in directories that match a specified pattern. For example:
Python
import glob
# List files in the current directory with a "*.txt" extension
txt_files = glob.glob("*.txt")
print(txt_files)
This will list all .txt
files in the current directory.
- Custom Function:
You can also implement custom wildcard matching functions using string manipulation or other techniques depending on your specific requirements. For simple cases, you might use string methods likestartswith()
orendswith()
.
The approach you choose depends on the complexity of your wildcard matching needs. For simple patterns, the fnmatch
or glob
modules may suffice, while for more complex patterns, regular expressions provide a more powerful and flexible solution.