If you’re looking to create a circular color gradient in Python, you’ve come to the right place. In this guide, we’ll take you through the steps you need to follow to create a beautiful circular color gradient using Python. This guide is about How to Make a Circular Color Gradient in Python.
At its core, a color gradient is simply a transition between two or more colors. In the case of a circular color gradient, the transition occurs in a circular fashion, with the colors blending together in a circular pattern. This effect can be used to create stunning visual effects in everything from logos to websites.
With these libraries installed, we can begin creating our circular color gradient.
Before we can get started, we need to import the libraries we’ll be using. Open up your Python interpreter and type in the following:
import numpy as npimport matplotlib.pyplot as pltfrom PIL import Image
These three lines import the NumPy, Matplotlib, and Pillow libraries, respectively. We’ve also given them short aliases to make it easier to refer to them later on.
Next, we need to create the actual color gradient. To do this, we’ll use NumPy to create a two-dimensional array that represents the colors we want to use in our gradient.
Here’s an example:
width, height = 300, 300radius = min(width, height) // 2cx, cy = width // 2, height // 2x, y = np.ogrid[:height, :width]distance_from_center = np.sqrt((x - cx) ** 2 + (y - cy) ** 2)angle = np.arctan2(y - cy, x - cx)hue = angle / (2 * np.pi) + 0.5saturation = distance_from_center / radiusvalue = np.ones((height, width))hsv = np.dstack((hue, saturation, value))rgb = np.squeeze(np.asarray(Image.fromarray(np.uint8(255 * hsv_to_rgb(hsv))).convert('RGB')))
This code creates a 300x300 image with a circular color gradient. The center of the circle is located at (150, 150), and the radius of the circle is half the width of the image.
hsv array contains the hue, saturation, and value for each pixel in the image. The hue is determined by the angle between the center of the circle and each pixel, while the saturation is determined by the distance from the center of the circle.
Finally, we convert the
hsv array to an RGB array using the
hsv_to_rgb function provided by Matplotlib. We then convert the RGB array to a PIL image and save it to a file.
To display the color gradient, we can use Matplotlib’s
This code will display the circular color gradient.
In conclusion, creating a circular color gradient in Python is a fun and easy way to add visual appeal to your projects. By using the Python Imaging Library, we were able to create a beautiful circular gradient with just a few lines of code.