pycharts基本图表

基本图表

饼图

# 虚假数据
cate = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
data = [123, 153, 89, 107, 98, 23]

pie = (Pie()
       .add('', [list(z) for z in zip(cate, data)])
       )

pie.render_notebook()

漏斗图

# 虚假数据
cate = ['访问', '注册', '加入购物车', '提交订单', '付款成功']
data = [30398, 15230, 10045, 3109, 1698]

funnel = (Funnel()
          .add("", [list(z) for z in zip(cate, data)])
          )

funnel.render_notebook()

仪表盘¶

gauge = (Gauge()
          .add("", [('转化率',34)])
          )

gauge.render_notebook()

水球图

liquid = (Liquid()
          .add("", [0.52, 0.44])
          )

liquid.render_notebook()

日历图

import math

# 虚假数据
begin = datetime.date(2019, 1, 1)
end = datetime.date(2019, 12, 31)
data = [[str(begin + datetime.timedelta(days=i)), abs(math.cos(i/100))* random.randint(1000, 1200)]
        for i in range((end - begin).days + 1)]
        
calendar = (
        Calendar()
        .add("", data, calendar_opts=opts.CalendarOpts(range_="2019"))
    )

calendar.render_notebook()

关系图

nodes = [
    {"name": "结点1", "symbolSize": 1},
    {"name": "结点2", "symbolSize": 2},
    {"name": "结点3", "symbolSize": 3},
    {"name": "结点4", "symbolSize": 4},
    {"name": "结点5", "symbolSize": 5},
    {"name": "结点6", "symbolSize": 6},
    {"name": "结点7", "symbolSize": 7},
    {"name": "结点8", "symbolSize": 8},
]
links = [{'source': '结点1', 'target': '结点2'},
         {'source': '结点1', 'target': '结点3'},
         {'source': '结点1', 'target': '结点4'},
         {'source': '结点2', 'target': '结点1'},
         {'source': '结点3', 'target': '结点4'},
         {'source': '结点3', 'target': '结点5'},
         {'source': '结点3', 'target': '结点6'},
         {'source': '结点4', 'target': '结点1'},
         {'source': '结点4', 'target': '结点2'},
         {'source': '结点4', 'target': '结点7'},
         {'source': '结点4', 'target': '结点8'},
         {'source': '结点5', 'target': '结点1'},
         {'source': '结点5', 'target': '结点4'},
         {'source': '结点5', 'target': '结点6'},
         {'source': '结点5', 'target': '结点7'},
         {'source': '结点5', 'target': '结点8'},
         {'source': '结点6', 'target': '结点1'},
         {'source': '结点6', 'target': '结点7'},
         {'source': '结点6', 'target': '结点8'},
         {'source': '结点7', 'target': '结点1'},
         {'source': '结点7', 'target': '结点2'},
         {'source': '结点7', 'target': '结点8'},
         {'source': '结点8', 'target': '结点1'},
         {'source': '结点8', 'target': '结点2'},
         {'source': '结点8', 'target': '结点3'},
         ]

graph = (
    Graph()
    .add("", nodes, links)
)

graph.render_notebook()

平行坐标系

# 虚假数据
data = [
    ['一班', 78, 91, 123, 78, 82, 67, "优秀"],
    ['二班', 89, 101, 127, 88, 86, 75, "良好"],
    ['三班', 86, 93, 101, 84, 90, 73, "合格"],
]

parallel = (
    Parallel()
    .add_schema(
        [
            opts.ParallelAxisOpts(
                dim=0,
                name="班级",
                type_="category",
                data=["一班", "二班", "三班"],
            ),
            opts.ParallelAxisOpts(dim=1, name="英语"),
            opts.ParallelAxisOpts(dim=2, name="数学"),
            opts.ParallelAxisOpts(dim=3, name="语文"),
            opts.ParallelAxisOpts(dim=4, name="物理"),
            opts.ParallelAxisOpts(dim=5, name="生物"),
            opts.ParallelAxisOpts(dim=6, name="化学"),
            opts.ParallelAxisOpts(
                dim=7,
                name="评级",
                type_="category",
                data=["优秀", "良好", "合格"],
            ),
        ]
    )
    .add("", data)
)

parallel.render_notebook()

极坐标系

# 虚假数据
cate = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
data = [123, 153, 89, 107, 98, 23]


polar = (
    Polar()
    .add_schema(
        radiusaxis_opts=opts.RadiusAxisOpts(data=cate, type_="category"),
    )
    .add("", data, type_='bar')
)

polar.render_notebook()

雷达图

# 虚假数据
data = [
    [78, 91, 123, 78, 82, 67],
    [89, 101, 127, 88, 86, 75],
    [86, 93, 101, 84, 90, 73],
]


radar = (Radar()
         .add_schema(schema=[
             opts.RadarIndicatorItem(name="语文", max_=150),
             opts.RadarIndicatorItem(name="数学", max_=150),
             opts.RadarIndicatorItem(name="英语", max_=150),
             opts.RadarIndicatorItem(name="物理", max_=100),
             opts.RadarIndicatorItem(name="生物", max_=100),
             opts.RadarIndicatorItem(name="化学", max_=100),
         ]
)
    .add('', data)
)
radar.render_notebook()

旭日图

# 虚假数据
data = [
    {"name": "湖南",
     "children": [
             {"name": "长沙",
              "children": [
                  {"name": "雨花区", "value": 55},
                  {"name": "岳麓区", "value": 34},
                  {"name": "天心区", "value": 144},
              ]},
             {"name": "常德",
              "children": [
                      {"name": "武陵区", "value": 156},
                      {"name": "鼎城区", "value": 134},
              ]},
             {"name": "湘潭", "value": 87},
             {"name": "株洲", "value": 23},
     ],
     },
    {"name": "湖北",
     "children": [
             {"name": "武汉",
              "children": [
                  {"name": "洪山区", "value": 55},
                  {"name": "东湖高新", "value": 78},
                  {"name": "江夏区", "value": 34},
              ]},
             {"name": "鄂州", "value": 67},
             {"name": "襄阳", "value": 34},
     ],
     },
    {"name": "北京", "value": 235}
]


sunburst = (Sunburst()
            .add("", data_pair=data)
            )

sunburst.render_notebook()

桑基图¶

# 虚假数据
nodes = [
    {"name": "访问"},
    {"name": "注册"},
    {"name": "付费"},
]

links = [
    {"source": "访问", "target": "注册", "value": 50},
    {"source": "注册", "target": "付费", "value": 30},
]


sankey = (
    Sankey()
    .add("", nodes, links)
)

sankey.render_notebook()

河流图

# 虚假数据
cate = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
date_list = ["2020/4/{}".format(i + 1) for i in range(30)]

data = [[day, random.randint(10, 50), c] for day in date_list for c in cate]


river = (
    ThemeRiver()
    .add(
        series_name=cate,
        data=data,
        singleaxis_opts=opts.SingleAxisOpts(type_="time")
    )
)

river.render_notebook()

词云图

words = [
    ("hey", 230),
    ("jude", 124),
    ("dont", 436),
    ("make", 255),
    ("it", 247),
    ("bad", 244),
    ("Take", 138),
    ("a sad song", 184),
    ("and", 12),
    ("make", 165),
    ("it", 247),
    ("better", 182),
    ("remember", 255),
    ("to", 150),
    ("let", 162),
    ("her", 266),
    ("into", 60),
    ("your", 82),
    ("heart", 173),
    ("then", 365),
    ("you", 360),
    ("can", 282),
    ("start", 273),
    ("make", 265),
]


wc = (
    WordCloud()
    .add("", words)
)

wc.render_notebook()

表格

from pyecharts.components import Table


table = Table()

headers = ["City name", "Area", "Population", "Annual Rainfall"]
rows = [
    ["Brisbane", 5905, 1857594, 1146.4],
    ["Adelaide", 1295, 1158259, 600.5],
    ["Darwin", 112, 120900, 1714.7],
    ["Hobart", 1357, 205556, 619.5],
    ["Sydney", 2058, 4336374, 1214.8],
    ["Melbourne", 1566, 3806092, 646.9],
    ["Perth", 5386, 1554769, 869.4],
]
table.add(headers, rows)

table.render_notebook()