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Color palettes for color blindness from
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# http://bconnelly.net/2013/10/creating-colorblind-friendly-figures/ | |
from __future__ import print_function, division | |
import matplotlib.pyplot as plt | |
from matplotlib import colors | |
from cycler import cycler | |
import numpy as np | |
palette_names = np.array(["Black", "Orange", "SkyBlue", "#009e73", | |
"Yellow", "Blue", "#d55e00", "HotPink"]) | |
# This is not actually that different from the GreenOrange Tableau colormap in Palettable |
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# http://www.somersault1824.com/tips-for-designing-scientific-figures-for-color-blind-readers/ | |
# http://mkweb.bcgsc.ca/biovis2012 | |
from __future__ import print_function, division | |
import matplotlib.pyplot as plt | |
from matplotlib import colors | |
from cycler import cycler | |
import numpy as np | |
palette_rgb = np.array([[0,0,0], # 0, black | |
[0,73,73], # 1, dark teal | |
[0,146,146], # 2, teal | |
[255,109,182], # 3, pink | |
[255,182,119], # 4, light pink | |
[73,0,146], # 5, purple, except it's plotting as dark green? | |
[0,109,219], # 6, blue | |
[182,109,255], # 7, violet | |
[109,182,255], # 8, light blue | |
[182,219,255], # 9, even lighter blue | |
[146,0,0], # 10, red | |
[146,73,0], # 11, brown | |
[219,209,0], # 12, orange | |
[36,255,36], # 13, lime green | |
[255,255,109]]) # 14, light yellow | |
cb4 = palette_rgb[np.array([1,3,6,8])] | |
plt.rc("axes",prop_cycle=(cycler("color",cb4))) |
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flatui = ["#9b59b6", "#3498db", "#95a5a6", "#e74c3c", "#34495e", "#2ecc71"] | |
# these don't actually show up like the image? |
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