Logo video2dn
  • Сохранить видео с ютуба
  • Категории
    • Музыка
    • Кино и Анимация
    • Автомобили
    • Животные
    • Спорт
    • Путешествия
    • Игры
    • Люди и Блоги
    • Юмор
    • Развлечения
    • Новости и Политика
    • Howto и Стиль
    • Diy своими руками
    • Образование
    • Наука и Технологии
    • Некоммерческие Организации
  • О сайте

Скачать или смотреть Efficiently Copy Images Using Pandas Dataframe in Python

  • vlogize
  • 2025-08-10
  • 1
Efficiently Copy Images Using Pandas Dataframe in Python
Copy images from one folder to another using their names on a pandas dataframepythonpandasshellshutil
  • ok logo

Скачать Efficiently Copy Images Using Pandas Dataframe in Python бесплатно в качестве 4к (2к / 1080p)

У нас вы можете скачать бесплатно Efficiently Copy Images Using Pandas Dataframe in Python или посмотреть видео с ютуба в максимальном доступном качестве.

Для скачивания выберите вариант из формы ниже:

  • Информация по загрузке:

Cкачать музыку Efficiently Copy Images Using Pandas Dataframe in Python бесплатно в формате MP3:

Если иконки загрузки не отобразились, ПОЖАЛУЙСТА, НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если у вас возникли трудности с загрузкой, пожалуйста, свяжитесь с нами по контактам, указанным в нижней части страницы.
Спасибо за использование сервиса video2dn.com

Описание к видео Efficiently Copy Images Using Pandas Dataframe in Python

Learn how to leverage Python and Pandas to easily copy selected images from one folder to another based on a dataframe.
---
This video is based on the question https://stackoverflow.com/q/65071055/ asked by the user 'Vaibhav Saxena' ( https://stackoverflow.com/u/14529765/ ) and on the answer https://stackoverflow.com/a/65071190/ provided by the user 'Vipul Tawde' ( https://stackoverflow.com/u/14468252/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Copy images from one folder to another using their names on a pandas dataframe

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Efficiently Copy Images Using Pandas Dataframe in Python

If you're working with image datasets and need to organize your files, you might find yourself in a situation where you want to copy specific images based on their names which are stored in a Pandas dataframe. This is a common scenario in data preparation for machine learning or statistical analysis. In this blog, we will explore a straightforward method to do just that using Python’s capabilities, particularly with the help of the shutil library.

The Challenge

You have a substantial Pandas dataframe that contains the names of thousands of images stored in a local folder. For example, you might have a dataframe that looks something like this:

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

Your goal is to filter this dataframe to select specific images, such as 2015.png and 2022.png, and copy them from your original folder (my_images) into another folder (proc_images).

The Solution

Step 1: Import Necessary Libraries

To get started, we need to make sure we have the necessary libraries imported. Here’s what you will need:

os: This library helps with interacting with the operating system and handling file paths.

shutil: This is a powerful utility for file operations, including copying files.

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

Step 2: Define File Paths

You will need to specify the paths to your original and destination folders. Make sure you update these paths according to your local directory structure.

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

Step 3: Prepare the List of Image Names

Since you're working with a dataframe, you will need to extract the relevant file names into a list. For demonstration purposes, we'll manually define a list of image names that we want to copy. In a practical situation, you would filter this list based on your dataframe.

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

Step 4: Copy Selected Images

With everything set up, you can now loop through the list of selected image names and copy each file from the original folder to the destination folder using shutil.copyfile().

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

This piece of code performs the file copy operation for each name we specified in the file_names list.

Complete Code Example

Putting it all together, here's the complete code for copying specific images from one folder to another.

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

Conclusion

By following the steps above, you can easily copy specific images from one folder to another using their names listed in a Pandas dataframe. This method streamlines the process and efficiently handles files, making it an essential technique for anyone working with large image datasets.

Next time you need to organize your images, remember this straightforward approach using Python’s powerful libraries. Happy coding!

Комментарии

Информация по комментариям в разработке

Похожие видео

  • О нас
  • Контакты
  • Отказ от ответственности - Disclaimer
  • Условия использования сайта - TOS
  • Политика конфиденциальности

video2dn Copyright © 2023 - 2025

Контакты для правообладателей [email protected]