import colorsys
import yaml
from bokeh.layouts import column, row, widgetbox
from bokeh.models import ColumnDataSource, HoverTool, CustomJS, Slider
from bokeh.plotting import figure, output_file, show, curdoc
from bokeh.themes import Theme
# for plot 2: create colour spectrum of resolution N and brightness I, return as list of decimal RGB value tuples
def generate_color_range(N, I):
HSV_tuples = [ (x*1.0/N, 0.5, I) for x in range(N) ]
RGB_tuples = map(lambda x: colorsys.hsv_to_rgb(*x), HSV_tuples)
for_conversion = []
for RGB_tuple in RGB_tuples:
for_conversion.append((int(RGB_tuple[0]*255), int(RGB_tuple[1]*255), int(RGB_tuple[2]*255)))
hex_colors = [ rgb_to_hex(RGB_tuple) for RGB_tuple in for_conversion ]
return hex_colors, for_conversion
# convert RGB tuple to hexadecimal code
def rgb_to_hex(rgb):
return '#%02x%02x%02x' % rgb
# convert hexadecimal to RGB tuple
def hex_to_dec(hex):
red = ''.join(hex.strip('#')[0:2])
green = ''.join(hex.strip('#')[2:4])
blue = ''.join(hex.strip('#')[4:6])
return (int(red, 16), int(green, 16), int(blue,16))
# plot 1: create a color block with RGB values adjusted with sliders
# initialise a white block for the first plot
hex_color = rgb_to_hex((255, 255, 255))
# initialise the text color as black. This will be switched to white if the block color gets dark enough
text_color = '#000000'
# create a data source to enable refreshing of fill & text color
source = ColumnDataSource(data=dict(color=[hex_color], text_color=[text_color]))
# create first plot, as a rect() glyph and centered text label, with fill and text color taken from source
p1 = figure(x_range=(-8, 8), y_range=(-4, 4),
plot_width=600, plot_height=300,
title='move sliders to change', tools='')
p1.rect(0, 0, width=18, height=10, fill_color='color',
line_color = 'black', source=source)
p1.text(0, 0, text='color', text_color='text_color',
alpha=0.6667, text_font_size='36pt', text_baseline='middle',
text_align='center', source=source)
# the callback function to update the color of the block and associated label text
# NOTE: the JS functions for converting RGB to hex are taken from the excellent answer
# by Tim Down at http://stackoverflow.com/questions/5623838/rgb-to-hex-and-hex-to-rgb
callback = CustomJS(args=dict(source=source), code="""
function componentToHex(c) {
var hex = c.toString(16);
return hex.length == 1 ? "0" + hex : hex;
}
function rgbToHex(r, g, b) {
return "#" + componentToHex(r) + componentToHex(g) + componentToHex(b);
}
function toInt(v) {
return v | 0;
}
var data = source.data;
color = data['color'];
text_color = data['text_color'];
var R = toInt(red_slider.value);
var G = toInt(green_slider.value);
var B = toInt(blue_slider.value);
color[0] = rgbToHex(R, G, B);
text_color[0] = '#ffffff';
if ((R > 127) || (G > 127) || (B > 127)) {
text_color[0] = '#000000';
}
source.change.emit();
""")
# create slider tool objects with a callback to control the RGB levels for first plot
SLIDER_ARGS = dict(start=0, end=255, value=255, step=1, callback=callback)
red_slider = Slider(title="R", **SLIDER_ARGS)
callback.args['red_slider'] = red_slider
green_slider = Slider(title="G", **SLIDER_ARGS)
callback.args['green_slider'] = green_slider
blue_slider = Slider(title="B", **SLIDER_ARGS)
callback.args['blue_slider'] = blue_slider
# plot 2: create a color spectrum with a hover-over tool to inspect hex codes
brightness = 0.8 # change to have brighter/darker colors
crx = list(range(1,1001)) # the resolution is 1000 colors
cry = [ 5 for i in range(len(crx)) ]
crcolor, crRGBs = generate_color_range(1000,brightness) # produce spectrum
# make data source object to allow information to be displayed by hover tool
crsource = ColumnDataSource(data=dict(x=crx, y=cry, crcolor=crcolor, RGBs=crRGBs))
# create second plot
p2 = figure(x_range=(0,1000), y_range=(0,10),
plot_width=600, plot_height=150,
tools='hover', title='hover over color')
color_range1 = p2.rect(x='x', y='y', width=1, height=10,
color='crcolor', source=crsource)
# set up hover tool to show color hex code and sample swatch
p2.select_one(HoverTool).tooltips = [
('color', '$color[hex, rgb, swatch]:crcolor'),
('RGB levels', '@RGBs')
]
# theme everything for a cleaner look
curdoc().theme = Theme(json=yaml.load("""
attrs:
Plot:
toolbar_location: null
Grid:
grid_line_color: null
Axis:
axis_line_color: null
major_label_text_color: null
major_tick_line_color: null
minor_tick_line_color: null
"""))
layout = row(
widgetbox(red_slider, green_slider, blue_slider),
column(p1, p2)
)
output_file("color_sliders.html", title="color_sliders.py example")
show(layout)
