How to use Color Palettes in Python-Bokeh?

# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import Magma, Inferno, Plasma, Viridis, Cividis

# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Palettes") 

# demonstrating the Magma palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], 
           top = [9] * 11,
           bottom = [8] * 11,
           width = 1,
           color = Magma[11])

# demonstrating the Inferno palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], 
           top = [7] * 11,
           bottom = [6] * 11,
           width = 1,
           color = Inferno[11])

# demonstrating the Plasma palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], 
           top = [5] * 11,
           bottom = [4] * 11,
           width = 1,
           color = Plasma[11])

# demonstrating the Viridis palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], 
           top = [3] * 11,
           bottom = [2] * 11,
           width = 1,
           color = Viridis[11])

# demonstrating the Cividis palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], 
           top = [1] * 11,
           width = 1,
           color = Cividis[11])
   
# displaying the model 
show(graph)

# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import Category10, Category20, Category20b, Category20c

# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Palettes") 

# demonstrating the Category10 palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 
           top = [9] * 10,
           bottom = [8] * 10,
           width = 1,
           color = Category10[10])

# demonstrating the Category20 palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 
           top = [7] * 10,
           bottom = [6] * 10,
           width = 1,
           color = Category20[10])

# demonstrating the Category20b palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 
           top = [5] * 10,
           bottom = [4] * 10,
           width = 1,
           color = Category20b[10])

# demonstrating the Category20c palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 
           top = [3] * 10,
           bottom = [2] * 10,
           width = 1,
           color = Category20c[10])

# displaying the model 
show(graph)

# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import BrBG, PiYG, RdGy, RdYlGn, YlGnBu

# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Palettes") 

# demonstrating the BrBG palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9], 
           top = [9] * 9,
           bottom = [8] * 9,
           width = 1,
           color = BrBG[9])

# demonstrating the PiYG palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9], 
           top = [7] * 9,
           bottom = [6] * 9,
           width = 1,
           color = PiYG[9])

# demonstrating the RdGy palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9], 
           top = [5] * 9,
           bottom = [4] * 9,
           width = 1,
           color = RdGy[9])

# demonstrating the RdYlGn palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9], 
           top = [3] * 9,
           bottom = [2] * 9,
           width = 1,
           color = RdYlGn[9])

# demonstrating the YlGnBu palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8, 9], 
           top = [1] * 9,
           width = 1,
           color = YlGnBu[9])

# displaying the model 
show(graph) 

# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import Colorblind

# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Palettes") 

# demonstrating the Colorblind palette
graph.vbar(x = [1, 2, 3, 4, 5, 6, 7, 8], 
           top = [1] * 8,
           width = 1,
           color = Colorblind[8])

# displaying the model 
show(graph)

# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import Greys256, Inferno256, Magma256, Plasma256
from bokeh.palettes import Viridis256, Cividis256, Turbo256

# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Palettes") 

# demonstrating the Greys256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [20] * 256,
           bottom = [18] * 256,
           width = 1,
           color = Greys256)

# demonstrating the Inferno256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [17] * 256,
           bottom = [15] * 256,
           width = 1,
           color = Inferno256)

# demonstrating the Magma256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [14] * 256,
           bottom = [12] * 256,
           width = 1,
           color = Magma256)

# demonstrating the Plasma256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [11] * 256,
           bottom = [9] * 256,
           width = 1,
           color = Plasma256)

# demonstrating the Viridis256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [8] * 256,
           bottom = [6] * 256,
           width = 1,
           color = Viridis256)

# demonstrating the Cividis256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [5] * 256,
           bottom = [3] * 256,
           width = 1,
           color = Cividis256)

# demonstrating the Turbo256 palette
graph.vbar(x = [i for i in range(256)], 
           top = [2] * 256,
           bottom = [0] * 256,
           width = 1,
           color = Turbo256)

# displaying the model 
show(graph)