82 lines
2.0 KiB
Python
82 lines
2.0 KiB
Python
"""
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演示JSON数据和Python字典相互转换
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"""
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# import json
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#
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# # 列表转换为json
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# data = [{"name": "张三", "age": 11}, {"name": '李四', "age": 21}]
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# json_str = json.dumps(data, ensure_ascii=False) # ensure_ascii=False,显示中文
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# print(type(json_str)) # 类型为str
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# print(json_str)
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# # 字典转换为json
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# d = {"name": "张三", "age": 13}
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# json_str1 = json.dumps(d, ensure_ascii=False)
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# print(json_str1)
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#
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# # json转为python数据类型
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# s = '[{"name": "张三", "age": 11}, {"name": "李四", "age": 21}]'
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# l = json.loads(s)
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# print(l)
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# print(type(l))
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# d1 = '{"name": "张三", "age": 13}'
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# l1 = json.loads(d1)
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# print(d1)
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# print(type(d1))
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# pyecharts入门
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# 导包，导入line功能构建折线图对象
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# from pyecharts.charts import Line
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# from pyecharts.options import TitleOpts, LegendOpts, ToolboxOpts
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#
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# # 得到折线图对象
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# line = Line()
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# # 添加x轴数据
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# line.add_xaxis(['中国', '英国', '美国'])
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# # 添加y轴数据
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# line.add_yaxis("gdp", [30, 20, 10])
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# # 生成图表
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# # line.render()
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#
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# # 设置全局配置项
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# line.set_global_opts(
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# title_opts=TitleOpts("gdp展示", pos_left="center", pos_bottom="1%"),
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# legend_opts=LegendOpts(is_show=True),
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# toolbox_opts=ToolboxOpts(is_show=True)
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#
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# )
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#
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# line.render()
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# 演示地图可视化的基本使用
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from pyecharts.charts import Map
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from pyecharts.options import VisualMapOpts
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# 准备地图对象
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map = Map()
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# 准备数据
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data = [
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("北京", 99),
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("上海", 199),
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("湖南", 299),
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("台湾", 399),
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("广东", 499)
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]
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# 添加数据
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map.add("测试地图", data, "china")
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# 设置全局变量
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map.set_global_opts(
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visualmap_opts=VisualMapOpts(
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is_show=True, # 显示颜色
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is_piecewise=True, # 手动校准范围
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pieces=[
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{"min": 1, "max": 9, "label": "1-9", "color": "#CCFFFF"},
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{"min": 10, "max": 99, "label": "10-99", "color": "#FF6666"},
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{"min": 100, "max": 999, "label": "100-999", "color": "#990033"}
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]
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)
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)
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# 显示
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map.render()
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