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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Cufflinks Colors
Cufflinks also provides a wide set of tools for color managements; including color conversion across multiple spectrums and color table generation.
Step1:  Colors can be represented as strings
Step2:  Normalization
Step3:  Color Ranges
A range of colors can be generated using a base color and varying the saturation.
Step4:  Color Tables
This function is meant to be used in an iPython Notebook.
It generates an HTML table to display either a defined list of colors or to automatically generate a range of colors.
Step5:  Color Generators
A color generator can be used to produce shades of colors in an iterative form. For example when plotting N timeseries so the color used are as distinctive as possible.
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Python Code:
import cufflinks as cf
Explanation: Cufflinks Colors
Cufflinks also provides a wide set of tools for color managements; including color conversion across multiple spectrums and color table generation.
End of explanation
# The colors module includes a pre-defined set of commonly used colors
cf.colors.cnames
# HEX to RGB
cf.colors.hex_to_rgb('red')
# RGB to HEX
cf.colors.rgb_to_hex('rgb(219, 64, 82)')
# RGB or HEX to RGBA (transparency)
cf.colors.to_rgba('#3780bf',.5), cf.colors.to_rgba('rgb(219, 64, 82)',.4)
# RGBA to RGB (flatten transparency)
# By default assumes that the transparency color is *white*, however this can be also passed as a parameter. 
cf.colors.rgba_to_rgb('rgba(219, 64, 82, 0.4)','white')
Explanation: Colors can be represented as strings:
HEX "#db4052"
RGB "rgb(219, 64, 82)"
RGBA "rgba(219, 64, 82, 1.0)"  
Color Conversions
End of explanation
# Cufflinks.colors.normalize will always return the an hex value for all types of colors
colors=['#f08','rgb(240, 178, 185)','rgba(219, 64, 82, 0.4)','green']
[cf.colors.normalize(c) for c in colors]
Explanation: Normalization
End of explanation
# 10 different tones of pink
cf.colors.color_range('pink',10)
Explanation: Color Ranges
A range of colors can be generated using a base color and varying the saturation.
End of explanation
# Displaying a table of defined colors (list)
colors=['#f08', 'rgb(240, 178, 185)', 'blue' , '#32ab60']
cf.colors.color_table(colors)
# Generating 15 shades of orange
cf.colors.color_table('orange',15)
Explanation: Color Tables
This function is meant to be used in an iPython Notebook.
It generates an HTML table to display either a defined list of colors or to automatically generate a range of colors.
End of explanation
# Create a generator using 3 defined base colors
colors=['green','orange','blue']
gen=cf.colors.colorgen(colors)
outputColors=[next(gen) for _ in range(15)]
cf.colors.color_table(outputColors)
# Create a generator with default set of colors
gen=cf.colors.colorgen()
outputColors=[next(gen) for _ in range(15)]
cf.colors.color_table(outputColors)
# We can see all available scales with
cf.get_scales()
# Other color scales can be also seen here
cf.colors.scales()
colorscale=cf.colors.get_scales('accent')
cf.colors.color_table(colorscale)
Explanation: Color Generators
A color generator can be used to produce shades of colors in an iterative form. For example when plotting N timeseries so the color used are as distinctive as possible.
End of explanation
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