Generate QR Code using qrcode in Python
A Quick Response Code or a QR Code is a two-dimensional bar code used for its fast readability and comparatively large storage capacity. It consists of black squares arranged in a square grid on a white background.
Python has a library “qrcode” for generating QR code images. It can be installed using pip.
pip install qrcode
- Import module
- Create Qrcode with qrcode.make() and it returns a PilImage object.
- Save into image
qrcode.make('Data to be encoded')
We can also use QRCode class to create a QR Code and change its details. It takes the following parameters:
- Version: This parameter is an integer from 1 to 40 that controls the size of the QR Code (the smallest, version 1, is a 21×21 matrix).
- error_correction: This parameter controls the error correction used for the QR Code. There are following four constants available for this :
- qrcode.constants.ERROR_CORRECT_L : About 7% or fewer errors can be corrected.
- qrcode.constants.ERROR_CORRECT_M (default) : About 15% or fewer errors can be corrected.
- qrcode.constants.ERROR_CORRECT_Q: About 25% or fewer errors can be corrected.
- qrcode.constants.ERROR_CORRECT_H: About 30% or fewer errors can be corrected.
- box_size: This parameter controls how many pixels each “box” of the QR code is.
- border: The border parameter controls how many boxes thick the border should be (the default is 4, which is the minimum in the specification).
- add_data(): This method is used to add data to the QRCode object. It takes the data to be encoded as a parameter.
- make(): This method with (fit=True) ensures that the entire dimension of the QR Code is utilized, even if our input data could fit into less number of boxes.
- make_image(): This method is used to convert the QRCode object into an image file. It takes the fill_color and back_color optional parameters to set the foreground and background color.
Below is the implementation:
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course