A Python package that can be used to extract colours from images for use in data visualization projects.
Overview
This package allows users to integrate unique colour palettes into their graphs for exploratory data analysis. The colours are retrieved from image data (via URL) and are selected based on their overall prominence in a picture. While there are existing tools that are used to process images and create figures independently, we aim to combine both of their functionalities to help programmers easily design effective and creative visualizations.
Where Our Package Fits
There does exist similar functions in R that provide similar functionality to our package. packages are capable of colour extraction and data visualization, but none exist that combine the two functions to our knowledge. Some examples of such packages are as follows:
Magick: This allows you to extract the colours of the image and the quantity of each colour in the image. However, this does not convert this into a colour palette, nor does this package have data visualization capabilities built in.
Colorfindr: This again, allows you to extract the colours of the image and the quantity of each colour in the image. However, this does not convert this into a colour palette, nor does this package have data visualization capabilities built in.
paletteR: This package allows you to create a colour palette from an image. However, this image must be saved locally, not from a URL, and requires you to call GGPlot or anothe package to graph.
Imgpalr: This package allows you to create qualitative, sequential or divergent color palettes from an image. Again, this function does not have data visualization built in to it.
Installation
You can install the development version of colourpickr from GitHub with:
# install.packages("devtools")
devtools::install_github("UBC-MDS/colourpickr")Functions
get_color_palette(img_url, limit): This function extracts the most common colors from an image and returns them as a data frame of hex color codes and RGB values. The user is provided with the ability to set the number of colors that should be returned.
donut(img_url, num_clrs, plot_show): This function creates a donut chart with information on the most common colors in the linked image. The user specifies the image, the number of colors, and specifies whether to show the plot or not.
scatterplot(url_img, dataset, x, y, colour): This function creates a simple scatterplot using the colours selected from the image based on a dataset of the users choosing.
negative(img_url, num_colours): This function extracts the most common n colours from an image (via URL) and inverts them to retrieve the negative version of a colour palette, returning the associated HEX codes and RGB values for each colour.
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.