# setup the coloring
levels = MaxNLocator(nbins=10 * MAX_VAL + 1).tick_values(0, MAX_VAL)
cmap = get_cmap('viridis')
cmap.set_bad(color='k')
cmap.set_under(color='k')
cmap.set_over(color='w')
norm = Normalize(vmin=0, vmax=MAX_VAL, clip=False)
sm = ScalarMappable(norm=norm, cmap=cmap)
color_pal = [
RGB(*val).to_hex()
for val in sm.to_rgba(levels, bytes=True, norm=True)[:-1]
]
color_mapper = LinearColorMapper(color_pal,
low=sm.get_clim()[0],
high=sm.get_clim()[1])
l = levels.copy()[::3]
l[0] = GREY_THRESHOLD
ticker = FixedTicker(ticks=l)
cb = ColorBar(color_mapper=color_mapper,
location=(0, 0),
scale_alpha=ALPHA,
ticker=ticker)
# make the bokeh figures without the data yet
width = 1024
height = int(0.73 * width)
sfmt = '%Y-%m-%d %HZ'
tools = 'pan, box_zoom, reset, save'
map_fig = figure(plot_width=width,
plot_height=height,
y_axis_type=None,
