![]() There is currently only one subtractive model, the equivalent to the inverse of the LIGHT additive model. Object1 in ‘Object1 + Object2’, is the model which will be used when computing the addition.Ĭolor addition can also operate on 3-tuples, which represent an RGB value: > Color((50, 50, 50)) + (20, 20, 20) When assigning models, it is important to note that the arithmetic model for the first object in the operation, e.g. The blend model is an averaging model, where each rgb component is averaged.Īn example of BLEND addition: > Color((0, 100, 200), arithmetic=ArithmeticModel.BLEND) + Color((100, 100, 100)) This model is the default model which every Color is initialized with, unless overridden.Īn example of LIGHT addition: > Color((0, 100, 200)) + Color((100, 100, 100)) The light model is an additive model, where the rgb components are added, but do not exceed the maximum value, 255. There are two additive models currently supported: LIGHT and BLEND. > hex(int('80', 16) - int('7e', 16)) # Blue differenceĪlthough the addition and subtraction of color does not always make sense, the ability to do so is supported. Though, the values will still be close: > hex(int('80', 16) - int('7f', 16)) # Red difference Since approximation exists in the conversion algorithms, degradation will occur: > yiq_to_web(rgb_to_yiq(hex_to_rgb('808080'))) Using these static conversion methods, one can chain conversions (due to the in-param and out-param of all multi-value color representations being a tuple), which you are unable to do using the Python default colorsys.: > rgb_to_hex(hex_to_rgb('#808080')) These same conversions can be done without instantiating a Color object by using the static methods: The web representation will return the hex value if the color is not a well-known named web color: > c = Color((1, 243, 77)) ![]() If the color were such that the HEX representation could be captured as a 3-char hex: > c = Color((0, 0, 0)) Each instantiated Color object has properties which will automatically perform the required conversions: > c = Color((46, 139, 87)) The current color models supported by colorutils are: RGB, HEX, WEB, YIQ, and HSV. The possibilities for Cyan, for example: Color((0, 255, 255))Ĭolor objects can also take the color from other Color objects: > Color(Color((255, 255, 255))) The basic way to instantiate a Color: > from colorutils import Colorīy default, the Color object expects an RGB 3-tuple, but there are multiple ways to instantiate a Color. To report a bug or request a feature for colorutils, please open a new issue 3. Current Featuresīug fix for pip install on Windows for unfound packagesĪdd HSV color representation and conversionsĪdd YIQ color representation and conversionsĬolor objects can be treated as iterablesĪ versatile abstract color model which allows color addition and subtractionĬonversions between: RGB tuples, 6-character HEX strings, 3-character HEX strings, and WEB representations of color. To update an existing installation from pypi to the latest version: pip install colorutils -upgrade 1. InstallationĬolorutils can be installed from pypi: pip install colorutils Represented in RGB, HEX, WEB, and YIQ formats. Colors are modeled by the Color class and can be These strings are case-insensitive and you can append _r to them to reverse the order of the scale.A library which provides utilities for working with colors in Python. You can use any of the following names as string values to set continuous_color_scale or colorscale arguments. Plotly also comes with some built-in discrete color sequences which are not intended to be used with the color_continuous_scale argument as they are not designed for interpolation to occur between adjacent colors. When using continuous color scales, you will often want to configure various aspects of its range and colorbar. The lours module is also available under so you can refer to it as px.colors. They can also be reversed by adding _r at the endĮ.g. px.scatter(color_continuous_scale="Viridis") or by reference e.g. Plotly comes with a large number ofīuilt-in continuous color scales, which can be referred to in Python code when setting the above arguments,Įither by name in a case-insensitive string e.g. Types have a colorscale attribute in their schema. Many Plotly Express functions accept a color_continuous_scale argument and many trace
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