import numpy as np
from bokeh.io import curdoc, show
from bokeh.models import Annulus, ColumnDataSource, Grid, LinearAxis, Plot
N = 9
x = np.linspace(-2, 2, N)
y = x**2
source = ColumnDataSource(dict(x=x, y=y))
plot = Plot(
title=None, width=300, height=300,
min_border=0, toolbar_location=None)
glyph = Annulus(x="x", y="y", inner_radius=.2, outer_radius=.4, fill_color="#7fc97f")
plot.add_glyph(source, glyph)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
curdoc().add_root(plot)
show(plot)
plot.title.align = "right"
plot.api_key = "AIzaSyAX0RhQ5JTdQAjveEADHzBXbxkVLYCiPps"
#color_mapper = CategoricalColorMapper(factors=['hi', 'lo'], palette=[RdBu3[2], RdBu3[0]])
#color_mapper = LogColorMapper(palette="Viridis5", low=min_median_house_value, high=max_median_house_value)
paletteinvert = palette[::-1]
color_mapper = CategoricalColorMapper(palette=["magenta", "cyan"],
factors=['No', 'Yes'])
color_mapper2 = LogColorMapper(palette=fire)
protectedannulus = Annulus(x="lon",
y="lat",
inner_radius=4000,
outer_radius=7000,
fill_color="cyan",
fill_alpha=0.3,
line_color=None)
unprotectedannulus = Annulus(x="lon",
y="lat",
inner_radius=4000,
outer_radius=7000,
fill_color={
'field': 'color',
'transform': color_mapper
},
fill_alpha=0.3,
line_color=None)
return dict(value=value, units="screen")
glyphs = [
("annular_wedge",
AnnularWedge(x="x",
y="y",
inner_radius=screen(10),
outer_radius=screen(20),
start_angle=0.6,
end_angle=4.1,
fill_color="#8888ee")),
("annulus",
Annulus(x="x",
y="y",
inner_radius=screen(10),
outer_radius=screen(20),
fill_color="#7FC97F")),
("arc",
Arc(x="x",
y="y",
radius=screen(20),
start_angle=0.6,
end_angle=4.1,
line_color="#BEAED4",
line_width=3)),
("bezier",
Bezier(x0="x",
y0="y",
x1="xp02",
y1="y",