colormaps 0.4.0

Collection of colormaps or color palettes for Python

Colormaps

Colormaps is a library of collection of colormaps or color palettes for Python. It's written in Python with matplotlib and numpy as dependencies. You can use Colormaps to customize matplotlib plots.

Colormaps has colormaps or color palettes from:

• cartocolors
• cmocean
• colorbrewer
• cubehelix
• ncar ncl
• scientific
• tableau
• carbonplan
• cmasher
• may be more

Docs: https://pratiman-91.github.io/colormaps/

Getting started

Dependencies

Python with:

• matplotlib
• numpy

Installation

pip install colormaps

or you can also use GitHub repo

git clone https://github.com/pratiman-91/colormaps.git
cd colormaps
python setup.py install

Finding Colormaps

Colormaps are pre-built and loaded at the time of importing.

Using Colormaps

• Importing Colormaps

import colormaps as cmaps
cmaps.drought_severity

cmaps.ice

• Getting discrete number of levels

cmaps.ice.discrete(10)

• Shifting the colormap

cmaps.ice.shift(0.5)

• Shifting and then discrete levels

cmaps.ice.shift(0.5).discrete(10)

• Discrete levels then cut the colormap from left side

cmaps.ice.discrete(11).cut(0.25, 'left')

• Concatenate two or more colormaps

from colormaps.utils import concat
concat1 = concat(["ice", "BkBlAqGrYeOrReViWh200"])

• Concatenate two or more colormaps based on ratio

from colormaps.utils import concat
concat2 = concat([cmaps.ice, cmaps.BkBlAqGrYeOrReViWh200], ratios=[0.25,0.75])

• Matplotlib usage example

import matplotlib.pyplot as plt
import colormaps as cmaps
import numpy as np

x = y = np.arange(-3.0, 3.01, 0.05)
X, Y = np.meshgrid(x, y)

sigmax = sigmay = 1.0
mux = muy = sigmaxy=0.0

Xmu = X-mux
Ymu = Y-muy

rho = sigmaxy/(sigmax*sigmay)
z = Xmu**2/sigmax**2 + Ymu**2/sigmay**2 - 2*rho*Xmu*Ymu/(sigmax*sigmay)
denom = 2*np.pi*sigmax*sigmay*np.sqrt(1-rho**2)
Z = np.exp(-z/(2*(1-rho**2))) / denom

plt.pcolormesh(X,Y,Z,cmap=cmaps.cubehelix3_16_r)
plt.colorbar()