from bokeh.plotting import curdoc, figure
from bokeh.models import GeoJSONDataSource

# 读入英国地图数据并传给GeoJSONDataSource
with open("united-kindom.geo.json", encoding="utf8") as f:
  geo_source = GeoJSONDataSource(geojson=f.read())
# 设置一张画布
p = figure(width=500, height=500)
# 使用patches函数以及geo_source绘制地图
p.patches(xs='xs', ys='ys', source=geo_source)

curdoc().add_root(p)

from bokeh.plotting import curdoc, figure
from bokeh.models import GeoJSONDataSource
import json

# 用json库读取数据
with open("united-kindom.geo.json", encoding="utf8") as f:
  data = json.loads(f.read())
# 判断是不是伦敦地区数据
def isInLondon(district):
  if 'type' in district['properties'] and 'london borough' in district['properties']['type'].lower():
    return True
  if 'type-en' in district['properties'] and 'london borough' in district['properties']['type'].lower():
    return True
  if 'woe-name' in district['properties'] and 'city of london' in district['properties']['woe-name'].lower():
    return True
  return False
# 过滤数据
data['features'] = list(filter(isInLondon, data['features']))
#
geo_source = GeoJSONDataSource(geojson=json.dumps(data))
p = figure(width=500, height=500)
p.patches(xs='xs', ys='ys', source=geo_source)

curdoc().add_root(p)

p.patches(xs='xs', ys='ys', fill_alpha=0.7, # 画轮廓线
    line_color='white', # 线的颜色
    line_width=0.5,   # 线的宽度
    source=geo_source)

# 为每一个地区增加一个color属性
for i in range(len(data['features'])):
  data['features'][i]['properties']['color'] = ['blue', 'red', 'yellow', 'orange', 'gray', 'purple'][i % 6]
p.patches(xs='xs', ys='ys', fill_alpha=0.7,
    line_color='white',
    line_width=0.5,
    color="color",  # 增加颜色属性，这里的"color"对应每个地区的color属性
    source=geo_source)

import random
# 随机产生数据用于展示
for i in range(len(data['features'])):
  data['features'][i]['properties']['number'] = random.randint(0, 20_000)
p = figure(width=500, height=500,
    tooltips="@name, number: @number" # 使用tooltips生成图注，@+属性名称，这里的name是数据中原本有的，number是新近添加的。
  )

from bokeh.plotting import curdoc, figure
from bokeh.models import GeoJSONDataSource
import json
import random
with open("united-kindom.geo.json", encoding="utf8") as f:
  data = json.loads(f.read())

def isInLondon(district):
  if 'type' in district['properties'] and 'london borough' in district['properties']['type'].lower():
    return True
  if 'type-en' in district['properties'] and 'london borough' in district['properties']['type'].lower():
    return True
  if 'woe-name' in district['properties'] and 'city of london' in district['properties']['woe-name'].lower():
    return True
  return False

data['features'] = list(filter(isInLondon, data['features']))
for i in range(len(data['features'])):
  data['features'][i]['properties']['color'] = ['blue', 'red', 'yellow', 'orange', 'gray', 'purple'][i % 6]
  data['features'][i]['properties']['number'] = random.randint(0, 20_000)

geo_source = GeoJSONDataSource(geojson=json.dumps(data))
p = figure(width=500, height=500,
    tooltips="@name, number: @number")
p.patches(xs='xs', ys='ys', fill_alpha=0.7,
    line_color='white',
    line_width=0.5,
    color="color",
    source=geo_source)

p.axis.axis_label = None
p.axis.visible = False
p.grid.grid_line_color = None

curdoc().add_root(p)