python list all files of directory in given pattern with code examples

Python is a high-level programming language that is widely used in various fields including scientific computing, web development, artificial intelligence, and data science. In this article, we will discuss how to list all files of a directory in a given pattern using Python.

Python provides a built-in module called “os” that enables us to interact with the operating system. Using os, we can easily manipulate files and directories. For instance, we can create, delete, move, and modify files and directories using Python.

To list all the files of a directory in a given pattern, we can use the “os” module of Python. The following are the steps that we follow:

  1. Import the os module

The first step is to import the os module in Python. This is done as follows:

import os
  1. Define the directory path

The next step is to define the path of the directory that we want to list the files in. This can be done using the “os” module’s “chdir” function. For example, to list all the files in the “Downloads” directory, we can use the following code:

path = "/home/user/Downloads"
os.chdir(path)
  1. Create a list of file names

We can use the “os” module’s “listdir” function to create a list of the file names in the directory. For example, to list all the file names in the “Downloads” directory, we can use the following code:

files = os.listdir()
  1. Filter the files based on the pattern

Finally, we can filter the list of file names based on the pattern we want to match. We can use Python’s regular expression module “re” to match patterns. For example, to list all the files in the “Downloads” directory that end with “.txt”, we can use the following code:

import re

pattern = "^.*\.txt$"
text_files = [file_name for file_name in files if re.match(pattern, file_name)]

In the code above, we first define the regular expression pattern using the “re” module. The pattern “^.*.txt$” matches any string that ends with “.txt”. Next, we use Python’s list comprehension to iterate over the list of file names and create a new list called “text_files” that contains only the file names that match the pattern.

Putting it all together, the complete Python code to list all the files of a directory in a given pattern is:

import os
import re

path = "/home/user/Downloads"
os.chdir(path)

files = os.listdir()

pattern = "^.*\.txt$"
text_files = [file_name for file_name in files if re.match(pattern, file_name)]

print(text_files)

In the code above, we first import the os and re modules. Next, we define the path of the directory that we want to list the files in. We then change the current working directory to the specified path using the os.chdir() function. Next, we create a list of file names in the directory using the os.listdir() function. Finally, we use Python’s regular expression module “re” to filter the list of file names based on our specified pattern.

Conclusion

In conclusion, listing all files of a directory in a given pattern is a useful task that can be accomplished using Python’s built-in “os” module and the regular expression module “re”. By combining these two modules, we can easily manipulate files and directories and filter them based on our desired pattern. In this article, we have demonstrated how to list all the files in a directory that end with “.txt”. However, this method can be easily modified to match any other pattern that we desire.

I can provide more information about the topic of listing files in a directory and other related topics that can be useful for manipulating files and directories using Python.

  1. Listing files in a directory with different patterns

In the previous section, we demonstrated how to list all files in a directory that end with the .txt extension. However, we can use other patterns to match other types of files as well. Some of the common patterns used to match files with specific extensions are:

  • *.docx: Matches all files with the .docx extension.
  • *.pdf: Matches all files with the .pdf extension.
  • *.png: Matches all files with the .png extension.
  • *.csv: Matches all files with the .csv extension.

To match files with the above patterns, we just need to modify the regular expression pattern used in the code. For example, to match all files ending with the .pdf extension, we can use the pattern ^.*\.pdf$:

import os, re

path = "/path/to/directory"
os.chdir(path)

files = os.listdir()
pattern = r'^.*\.pdf$'
pdf_files = [file for file in files if re.match(pattern, file)]

print(pdf_files)
  1. Renaming files

Renaming files is another common operation that is frequently required. To rename a file using Python, the os module provides the os.rename() method. The os.rename() method accepts two arguments: the old filename and the new filename. Here's an example code that can be used to rename a file named old_name.txt to new_name.txt:

import os

path = "/path/to/file"
os.chdir(path)

old_name = "old_name.txt"
new_name = "new_name.txt"

os.rename(old_name, new_name)
  1. Creating directories

To create a directory using Python, the os module provides the os.mkdir() method. The os.mkdir() method accepts a single argument, which is the name of the directory to be created. Here's an example code that can be used to create a directory named new_directory:

import os

path = "/path/to/directory"
os.chdir(path)

new_directory = "new_directory"

os.mkdir(new_directory)
  1. Reading and writing files

Reading and writing files is a fundamental operation that is frequently required in many Python programs. To read the contents of a file using Python, we can use the open() function, which returns a file object that can be used to read the contents of the file. Here's an example code that can be used to read the contents of a file named filename.txt:

path = "/path/to/file"
os.chdir(path)

filename = "filename.txt"

with open(filename, 'r') as f:
    contents = f.read()

print(contents)

To write to a file using Python, we can also use the open() function, but with a different mode parameter w. This will open the given file in write mode. The file object returned by the open() function can then be used to write to the file. Here's an example code that can be used to write some contents to a file named filename.txt:

path = "/path/to/file"
os.chdir(path)

filename = "filename.txt"

with open(filename, 'w') as f:
    f.write("Some contents to be written to the file")

Popular questions

  1. What module do we need to import to manipulate files and directories using Python?
    Answer: We need to import the "os" module to manipulate files and directories using Python.

  2. How do we define the path of the directory that we want to list the files in?
    Answer: We can define the path of the directory using the "os.chdir()" function. For example, os.chdir("/path/to/directory").

  3. How do we create a list of file names in a directory?
    Answer: We can create a list of file names in a directory using the "os.listdir()" method. For example, files = os.listdir().

  4. How do we match patterns using regular expressions in Python?
    Answer: We can match patterns using the "re" module in Python. We can use the "re.match()" function to match patterns.

  5. How can we rename a file using Python?
    Answer: We can rename a file using the "os.rename()" method. The "os.rename()" method takes two arguments: the old filename and the new filename. For example, os.rename("old_name.txt", "new_name.txt").

Tag

"File-Listing"

Throughout my career, I have held positions ranging from Associate Software Engineer to Principal Engineer and have excelled in high-pressure environments. My passion and enthusiasm for my work drive me to get things done efficiently and effectively. I have a balanced mindset towards software development and testing, with a focus on design and underlying technologies. My experience in software development spans all aspects, including requirements gathering, design, coding, testing, and infrastructure. I specialize in developing distributed systems, web services, high-volume web applications, and ensuring scalability and availability using Amazon Web Services (EC2, ELBs, autoscaling, SimpleDB, SNS, SQS). Currently, I am focused on honing my skills in algorithms, data structures, and fast prototyping to develop and implement proof of concepts. Additionally, I possess good knowledge of analytics and have experience in implementing SiteCatalyst. As an open-source contributor, I am dedicated to contributing to the community and staying up-to-date with the latest technologies and industry trends.
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