#！/usr/bin/env python
#  -*- coding:utf-8 -*-
#  author:dabai time:2019/3/2

import json

import pygal_maps_world.maps
from pygal.style import RotateStyle
from country_codes import get_country_code

# 将数据加载到一个列表中

filename='population_data.json'
with open(filename) as f:
    pop_data=json.load(f)


# 创建一个包含人口数量的字典
cc_populations = {}

for pop_dict in pop_data:
    if pop_dict['Year']=='2010':
        country_name=pop_dict['Country Name']
        population = int(float(pop_dict['Value']))
        code = get_country_code(country_name)
        if code:
            cc_populations[code] = population


# 根据人口数量将所有的国家分成三组
cc_pops_1, cc_pops_2, cc_pops_3 = {}, {}, {}
for cc, pop in cc_populations.items():
    if pop < 10000000:
        cc_pops_1[cc] = pop
    elif pop < 1000000000:
        cc_pops_2[cc] = pop
    else:
        cc_pops_3[cc] = pop
# 看看每组分别包含多少个国家 
print(len(cc_pops_1), len(cc_pops_2), len(cc_pops_3))


wm_style = RotateStyle('#336699')
wm = pygal_maps_world.maps.World(style=wm_style)

wm.title = 'World Population in 2010, by Country'
wm.add('0-10m', cc_pops_1)
wm.add('10m-1bn', cc_pops_2)
wm.add('>1bn', cc_pops_3)

wm.render_to_file('world_population.svg')



