"""
演示JSON数据和Python字典相互转换
"""
# import json
#
# # 列表转换为json
# data = [{"name": "张三", "age": 11}, {"name": '李四', "age": 21}]
# json_str = json.dumps(data, ensure_ascii=False)  # ensure_ascii=False,显示中文
# print(type(json_str))  # 类型为str
# print(json_str)
# # 字典转换为json
# d = {"name": "张三", "age": 13}
# json_str1 = json.dumps(d, ensure_ascii=False)
# print(json_str1)
#
# # json转为python数据类型
# s = '[{"name": "张三", "age": 11}, {"name": "李四", "age": 21}]'
# l = json.loads(s)
# print(l)
# print(type(l))
# d1 = '{"name": "张三", "age": 13}'
# l1 = json.loads(d1)
# print(d1)
# print(type(d1))

# pyecharts入门
# 导包，导入line功能构建折线图对象
# from pyecharts.charts import Line
# from pyecharts.options import TitleOpts, LegendOpts, ToolboxOpts
#
# # 得到折线图对象
# line = Line()
# # 添加x轴数据
# line.add_xaxis(['中国', '英国', '美国'])
# # 添加y轴数据
# line.add_yaxis("gdp", [30, 20, 10])
# # 生成图表
# # line.render()
#
# # 设置全局配置项
# line.set_global_opts(
#     title_opts=TitleOpts("gdp展示", pos_left="center", pos_bottom="1%"),
#     legend_opts=LegendOpts(is_show=True),
#     toolbox_opts=ToolboxOpts(is_show=True)
#
# )
#
# line.render()

# 演示地图可视化的基本使用
from pyecharts.charts import Map
from pyecharts.options import VisualMapOpts

# 准备地图对象
map = Map()
# 准备数据
data = [
    ("北京", 99),
    ("上海", 199),
    ("湖南", 299),
    ("台湾", 399),
    ("广东", 499)
]
# 添加数据
map.add("测试地图", data, "china")
# 设置全局变量
map.set_global_opts(
    visualmap_opts=VisualMapOpts(
        is_show=True,  # 显示颜色
        is_piecewise=True,  # 手动校准范围
        pieces=[
            {"min": 1, "max": 9, "label": "1-9", "color": "#CCFFFF"},
            {"min": 10, "max": 99, "label": "10-99", "color": "#FF6666"},
            {"min": 100, "max": 999, "label": "100-999", "color": "#990033"}


        ]
    )
)
# 显示
map.render()