Скачать или смотреть How to Use os.walk() to Organize Images by Time of Day in Python

Learn how to efficiently organize images into `Daytime` and `Nighttime` folders using Python's `os.walk()`. This guide will simplify the process for you!
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Organizing Images Based on Time of Day Using os.walk()

If you're dealing with a collection of images and want to sort them into different folders based on the time of day, you've come to the right place! This guide will guide you step-by-step on how to implement Python's os.walk() to achieve just that. We’ll focus on organizing images from a specific directory into Daytime and Nighttime folders, based on the hour extracted from each image's filename.

Understanding the Problem

You have images located in a directory, and the goal is to categorize these images. The filenames contain the hour information (positions 37 and 39) you can use to determine whether they belong to daytime or nighttime.

The primary steps involved in this process include:

Walking through all the folders to find your images.

Extracting the hour from the filenames.

Copying the images to the appropriate destination folders based on the hour.

Implementation

To effectively accomplish the task, let's take a look at the structure of the code you'll need to implement. The following sections will guide you through it.

Setting Up Your Environment

Before diving into the code, ensure you have the following directories created:

Source Directory: D:/TR/Eumetsat_IR_photos/Prueba

Destination Directories:

D:/TR/IR_Photos/Daytime

D:/TR/IR_Photos/Nighttime

The Code Explained

Here's a refined version of the code that correctly uses os.walk() to organize your images:

[[See Video to Reveal this Text or Code Snippet]]

Code Walkthrough

Imports: We import shutil for copying files and os for navigating folders.

Directory Definitions: We specify source and destination directories to work with.

Get Hour Function: We define a helper function that extracts the hour from the filename.

Walking the Directory: We use os.walk() to traverse the specified source directory, looking for files.

Hour Extraction: For each file, the hour is extracted and checked to determine its category—Daytime or Nighttime.

File Handling: The code attempts to create the destination directory if it doesn’t already exist and then copies the files accordingly. An error message is printed if a file fails to copy.

Conclusion

Using the above approach, you can automate the organization of images based on the time they were taken. This can save you from the laborious task of manual sorting and ensures that your image library is neatly organized for easier access.

If you have any questions or need further assistance with implementing this code, feel free to reach out. Happy coding!