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Jupyter Notebook Viewer

Notebook Cufflinks Colors¶

Cufflinks also provides a wide set of tools for color managements; including color conversion across multiple spectrums and color table generation.

Colors can be represented as strings:

HEX "#db4052"
RGB "rgb(219, 64, 82)"
RGBA "rgba(219, 64, 82, 1.0)"

In [ ]:

# The colors module includes a pre-defined set of commonly used colors
cf.colors.cnames

In [7]:

# HEX to RGB
cf.colors.hex_to_rgb('red')

In [8]:

# RGB to HEX
cf.colors.rgb_to_hex('rgb(219, 64, 82)')

In [10]:

# RGB or HEX to RGBA (transparency)
cf.colors.to_rgba('#3780bf',.5), cf.colors.to_rgba('rgb(219, 64, 82)',.4)

Out[10]:

('rgba(55, 128, 191, 0.5)', 'rgba(219, 64, 82, 0.4)')

In [11]:

# 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')

In [12]:

# 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]

Out[12]:

['#ff0088', '#f0b2b9', '#f0b2b9', '#008000']

Color Ranges¶

A range of colors can be generated using a base color and varying the saturation.

In [13]:

# 10 different tones of pink
cf.colors.color_range('pink',10)

Out[13]:

['#000000',
 '#33001b',
 '#660036',
 '#990051',
 '#cc006c',
 '#ff0088',
 '#ff329f',
 '#ff65b7',
 '#ff99cf',
 '#ffcce7',
 '#ffffff']

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.

In [14]:

# Displaying a table of defined colors (list)
colors=['#f08', 'rgb(240, 178, 185)', 'blue' , '#32ab60']
cf.colors.color_table(colors)

#FF0088
#F0B2B9
#3780BF
#32AB60

In [15]:

# Generating 15 shades of orange
cf.colors.color_table('orange',15)

#FFFFFF
#FFEEDD
#FFDDBB
#FFCC99
#FFBB77
#FFAA55
#FF9933
#FF9932
#FF8810
#EE8E2F
#CC7A28
#AA6521
#88511B
#663D14
#44280D
#221406
#000000

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.

In [16]:

# Create a generator using 3 defined base colors
colors=['green','orange','blue']
gen=cf.colors.colorgen(colors)
outputColors=[gen.next() for _ in range(15)]
cf.colors.color_table(outputColors)

#008000
#FF9933
#3780BF
#4B8CC5
#198C19
#FFA347
#FFAD5B
#5F99CB
#339933
#4CA64C
#FFB770
#73A6D2
#87B2D8
#66B266
#FFC184

In [17]:

# Create a generator with default set of colors
gen=cf.colors.colorgen()
outputColors=[gen.next() for _ in range(15)]
cf.colors.color_table(outputColors)

#E24A33
#3E6FB0
#8476CA
#656565
#FBC15E
#8EBA42
#FFB5B8
#FFBCBF
#E45C47
#517DB7
#9083CF
#747474
#FBC76E
#99C054
#A4C767

In [ ]:

# We can see all available scales with
cf.get_scales()

In [19]:

# Other color scales can be also seen here
cf.colors.scales()

In [20]:

colorscale=cf.colors.get_scales('accent')
cf.colors.color_table(colorscale)

#7FC97F
#BEAED4
#FDC086
#FFFF99
#386CB0
#F0027F
#BF5B17
#666666

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