def use_data_source_with_color_mapper_legends_auto(d, map_width):
#data = _make_random_data(d.keys())
p = figure(width=map_width, height=int(round(4 / 5 * map_width)))
color_mapper = LinearColorMapper(palette=Blues8)
color_mapper.nan_color = 'gray'
xs = []
ys = []
data = []
for key in d.keys():
if key == '04015':
data.append(nan)
else:
data.append(random.randint(1, 8))
xs.append(d[key]['x'])
ys.append(d[key]['y'])
legends = make_legends(data, Blues8)
source = ColumnDataSource(data=dict(x=xs, y=ys, data=data, legend=legends))
p.patches('x',
'y',
source=source,
fill_color={
'field': 'data',
'transform': color_mapper
},
fill_alpha=0.7,
line_color='white',
legend='legend')
p.legend.location = "bottom_right"
return p
def make_us_map(the_type,
title="test map",
plot_width=1100,
plot_height=700,
line_color="white",
line_width=0.5,
colors_dict=None,
default_color="white",
map_extent='continental_us',
data=None,
palette=Blues8,
reverse_palette=True):
if reverse_palette:
palette.reverse()
assert colors_dict == None or data == None
choropleth = choropleth_prep.Chorpleth(the_type=the_type)
d = _main_init_dict(_filter_points(choropleth.points_dict))
add_data(d, 'data', data)
add_data(d, 'legend', _make_legends(data, palette))
xs, ys, data, legends = _sort_all_data(flatten(d, 'xs'), flatten(d, 'ys'),
flatten(d, 'data'),
flatten(d, 'legend'))
color_mapper = LinearColorMapper(palette=palette)
color_mapper.nan_color = default_color
assert len(data) == len(xs)
source = ColumnDataSource(data=dict(
x=xs,
y=ys,
data=data,
legend=legends,
))
p = figure(title=title,
toolbar_location="left",
plot_width=plot_width,
plot_height=plot_height)
p.patches('x',
'y',
source=source,
fill_color={
'field': 'data',
'transform': color_mapper
},
fill_alpha=0.7,
line_color=line_color,
line_width=line_width,
legend='legend')
show(p)
def use_data_source_with_color_mapper_legends(d, map_width):
p = figure(width=map_width, height=int(round(4 / 5 * map_width)))
color_mapper = LinearColorMapper(palette=Blues8)
color_mapper.nan_color = 'gray'
legends = _make_legends_one(d.keys())
source = ColumnDataSource(data=dict(x=[d[x]['x'] for x in d.keys()],
y=[d[x]['y'] for x in d.keys()],
data=_make_random_data(d.keys()),
legend=legends))
p.patches('x',
'y',
source=source,
fill_color={
'field': 'data',
'transform': color_mapper
},
legend='legend')
return p
