Basic Image Loading
The most common way to load an image in Jupyter Notebook is to use the Pillow library. It is a fork of the Python Imaging Library (PIL) and provides a simple and powerful interface to manipulate images. Here is an example code snippet that shows how to load an image file using Pillow:The example code shows how to load an image file using Pillow in Jupyter Notebook.
As you can see, the process is quite simple. We just need to import the Image class from the PIL module and call its open function with the path of the image file. After that, we can perform any operation we want on the image. For example, we can resize it, crop it, or apply some filters.Displaying Images in Jupyter Notebook
Once we have loaded an image in Jupyter Notebook, we may want to display it. There are several ways to do that, depending on the output format we want. The most common formats are HTML and Markdown.HTML Output
To display an image as HTML, we can create an img tag and set its src attribute to the URL of the image. The URL can be a local file path or a remote URL. Here is an example code snippet that shows how to display an image as HTML in Jupyter Notebook:The example code shows how to display an image as HTML in Jupyter Notebook.
As you can see, we just need to create an img tag and set its src attribute to the local file path of the image. The HTML output will automatically render the image.Markdown Output
To display an image as Markdown, we can use the Markdown syntax for images. It is similar to the HTML syntax, but uses a different format for the alt text. Here is an example code snippet that shows how to display an image as Markdown in Jupyter Notebook:The example code shows how to display an image as Markdown in Jupyter Notebook.
As you can see, we just need to use the Markdown syntax for images and set the alt text to the local file path of the image. The Markdown output will automatically render the image.