How to use the D3 Palettes in Bokeh? I tried importing this way but I get an unresolved reference error message
from bokeh.palettes import Category20
Bokeh version:
print bokeh.__version__
0.11.1
A palette is a simple plain Python list of (hex) RGB color strings. For example, the blues8 palette has the colors : ('#084594', '#2171b5', '#4292c6', '#6baed6', '#9ecae1', '#c6dbef', '#deebf7', '#f7fbff'). There are 5 types of built-in color palettes in Bokeh : Matplotlib Palettes. D3 Palettes.
Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh provides us with multiple color palettes in the bokeh.palettes module.
10 In bokeh 0.11.1 the Category20 palette does not exist It's implemented in the 0.12.4 (the latest one), and works perfectly from bokeh.palettes import Category20 Let's try to update it if you can. Share Follow answered May 3 '17 at 11:42 e.arbitrioe.arbitrio 44044 silver badges1414 bronze badges 5 1
There are 4 types of D3 color palettes available : Example : We will be demonstrating the D3 palettes by plotting multiple vertical bars using the vbar () function. Bokeh provides us with ColorBrewer palettes. There are 35 types of ColorBrewer palettes available :
All answers so far refer to the pre-built palettes available as module attributes, but it may help others to note that there are also functions that can be used to generate palettes in Bokeh.
First, note that each of the module attribute palettes is a dictionary of tuples, each indexed by length n and containing a list of hex color codes of that length. e.g., I'll use Colorblind
palette, because it's smaller:
>>> from bokeh.palettes import Colorblind
>>> Colorblind
{3: ('#0072B2', '#E69F00', '#F0E442'), 4: ('#0072B2', '#E69F00', '#F0E442', '#009E73'), 5: ('#0072B2', '#E69F00', '#F0E442', '#009E73', '#56B4E9'), 6: ('#0072B2', '#E69F00', '#F0E442', '#009E73', '#56B4E9', '#D55E00'), 7: ('#0072B2', '#E69F00', '#F0E442', '#009E73', '#56B4E9', '#D55E00', '#CC79A7'), 8: ('#0072B2', '#E69F00', '#F0E442', '#009E73', '#56B4E9', '#D55E00', '#CC79A7', '#000000')}`
Then the Colorblind palette of length-3 is accessed as:
>>> Colorblind[3]
('#0072B2', '#E69F00', '#F0E442')
There are also large 256 color palettes (e.g., Cividis256
), which are also just tuples of 256 hex color codes.
But in addition to accessing palettes as attributes, the bokeh.palettes
module also offers functions that can generate lists of colors of arbitrary size from the special larger palettes. Several of these large palettes and functions are described in the docs, e.g., to generate a palette of length 6 from the Cividis256
palette, the built-in cividis
function can be used:
>>> from bokeh.palettes import cividis
>>> cividis(6)
('#00204C', '#31446B', '#666870', '#958F78', '#CAB969', '#FFE945')
Note also that some larger palettes available are not in the current (2.2.3) version of the docs (e.g. Reds256
), but they can also be used with the linear_palette
function to generate the same sort of thing, e.g., a palette of 20 reds:
>>> from bokeh.palettes import Reds256, linear_palette
>>> linear_palette(Reds256, 20)
('#67000d', '#800610', '#9a0c14', '#af1117', '#be151a', '#cf1c1f', '#dd2a25', '#ec382b', '#f34c37', '#f85f43', '#fb7252', '#fc8262', '#fc9474', '#fca588', '#fcb69b', '#fdc6b0', '#fdd5c4', '#fee3d7', '#ffece3', '#fff5f0')
The diverging_palette
function is also worth checking out.
In bokeh 0.11.1 the Category20 palette does not exist
It's implemented in the 0.12.4 (the latest one), and works perfectly
from bokeh.palettes import Category20
Let's try to update it if you can.
Category20:
{3: ['#1f77b4', '#aec7e8', '#ff7f0e'],
4: ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78'],
5: ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c'],
6: ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c', '#98df8a'],
7: ['#1f77b4',.... ]
.
.
20: []
So best way to use is:
Category20[20][0]
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