With the continuous development of information technology, binary data has become an indispensable part of modern computer applications. In many cases, we need to read and process binary data, which may include images, audio, video, compressed files, etc. As a popular programming language, Python provides a variety of methods and libraries that can help us read and process various types of binary data. This article will introduce methods and libraries for reading binary files in Python, and illustrate how to use these methods and libraries to process different types of binary data.
Below are four examples detailing how Python reads binary files.
① Use the open() function to read binary files
In Python, a file can be opened using the built-in open() function. In order to read binary files we need to use 'rb' mode when opening the file. In this mode, the read content is returned in binary form.
For example, the code below reads an image file named "example.jpg".
with open('example.jpg', 'rb') as f:
image_data = f.read()
In this code, we have used the with statement to open the file, which will automatically close the file when it is not needed. After reading the binary data, we can store it in a variable. In this example, we store the binary data of the image file in a variable called "image_data".
Example analysis——
This piece of Python code can be used to read a binary image file named "example.jpg" and store its contents in a variable (image_data). This variable can be used for further image processing, analysis or storage.
For example, suppose we want to perform simple analysis on this image, such as calculating the width and height of the image, we can use Python's Pillow library to implement