• 05 pyecharts 基本图表（示例代码+效果图）

    目录

    1 Pie饼图

    2 Funnel漏斗图

    3 Gauge仪表盘

    4 Liquid水球图

    5 Calendar日历图

    6 Graph关系图

    7 Parallel平行坐标系

    8 Polar极坐标系

    9 Radar雷达图

    10 Sunburst旭日图

    11 Sankey桑基图

    12 ThemeRiver河流图

    13 WordCloud词云图

    14 Table表格

    1 Pie饼图

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    2. from pyecharts.charts import Pie
    3.  
    4. cate = ['1月', '2月', '3月', '4月', '5月', '6月']
    5. data = [1123, 1153, 1089, 1207, 1298, 1123]
    6.  
    7. pie = (Pie()
    8.        .add('', [list(z) for z in zip(cate, data)])
    9.        )
    10. pie.render("pie.html")

    2 Funnel漏斗图

    1. """
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    4. """
    5. from pyecharts.charts import Funnel
    6.  
    7. cate = ['浏览', '查看详情', '加入购物车', '购买', '退款']
    8. data = [33445, 11223, 5566, 443, 32]
    9.  
    10. funnel = (Funnel()
    11.           .add("", [list(z) for z in zip(cate, data)])
    12.           )
    13.  
    14. funnel.render("funnel.html")

    3 Gauge仪表盘

    1. # 加QQ群和我一起讨论学习吧：懒笑翻-Python学习交流资料分享群 732481539
    2. from pyecharts.charts import Gauge
    3.  
    4. gauge = (Gauge()
    5.          .add("温度", [('', 38)])
    6.          )
    7.  
    8. gauge.render("gauge.html")

    4 Liquid水球图

    1. from pyecharts.charts import Liquid
    2.  
    3. liquid = (Liquid()
    4.           .add("", [0.70, 0.10])
    5.           )
    6.  
    7. liquid.render("liquid.html")

    5 Calendar日历图

    1. # 加QQ群和我一起讨论学习吧：懒笑翻-Python学习交流资料分享群 732481539
    2. import math
    3. import datetime
    4. from pyecharts import options as opts
    5. from pyecharts.charts import Calendar
    6.  
    7. begin = datetime.date(2022, 1, 1)
    8. end = datetime.date(2022, 12, 31)
    9. data = [[str(begin + datetime.timedelta(days=i)), abs(math.cos(i / 100)) * random.randint(1000, 1200)]
    10.         for i in range((end - begin).days + 1)]
    11.  
    12. calendar = (
    13.     Calendar()
    14.     .add("", data, calendar_opts=opts.CalendarOpts(range_="2022"))
    15. )
    16.  
    17. calendar.render("calendar.html")

    pyecharts_doc_v1.9.0.pdf （最新带标签完美版）
    pdf 5星 超过95%的资源 4.89MB
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    6 Graph关系图

    1. from pyecharts.charts import Graph
    2.  
    3. nodes = [
    4.     {"name": "结点1", "symbolSize": 1},
    5.     {"name": "结点2", "symbolSize": 2},
    6.     {"name": "结点3", "symbolSize": 3},
    7.     {"name": "结点4", "symbolSize": 4},
    8.     {"name": "结点5", "symbolSize": 5},
    9. ]
    10. links = [{'source': '结点1', 'target': '结点2'},
    11.          {'source': '结点1', 'target': '结点4'},
    12.          {'source': '结点2', 'target': '结点1'},
    13.          {'source': '结点3', 'target': '结点4'},
    14.          {'source': '结点3', 'target': '结点2'},
    15.          {'source': '结点4', 'target': '结点1'},
    16.          {'source': '结点5', 'target': '结点1'},
    17.          {'source': '结点5', 'target': '结点4'},
    18.          ]
    19.  
    20. graph = (
    21.     Graph()
    22.     .add("", nodes, links)
    23. )
    24.  
    25. graph.render("graph.html")

    7 Parallel平行坐标系

    1. from pyecharts.charts import Parallel
    2.  
    3. data = [
    4.     ['孙悟空', 68, 61, 63, 68, 62, 67, "及格"],
    5.     ['牛魔王', 88, 81, 83, 88, 82, 87, "良好"],
    6.     ['猪八戒', 58, 51, 53, 58, 42, 37, "不及格"],
    7.     ['嫦娥', 78, 71, 73, 78, 72, 77, "中等"],
    8.     ['鲁班', 98, 91, 123, 98, 92, 97, "优秀"],
    9.  
    10. ]
    11.  
    12. parallel = (
    13.     Parallel()
    14.     .add_schema(
    15.         [
    16.             opts.ParallelAxisOpts(
    17.                 dim=0,
    18.                 name="班级",
    19.                 type_="category",
    20.                 data=["孙悟空", "牛魔王", "猪八戒", "嫦娥", "鲁班"],
    21.             ),
    22.             opts.ParallelAxisOpts(dim=1, name="英语"),
    23.             opts.ParallelAxisOpts(dim=2, name="数学"),
    24.             opts.ParallelAxisOpts(dim=3, name="语文"),
    25.             opts.ParallelAxisOpts(dim=4, name="物理"),
    26.             opts.ParallelAxisOpts(dim=5, name="生物"),
    27.             opts.ParallelAxisOpts(dim=6, name="化学"),
    28.             opts.ParallelAxisOpts(
    29.                 dim=7,
    30.                 name="评级",
    31.                 type_="category",
    32.                 data=["优秀", "良好", "合格"],
    33.             ),
    34.         ]
    35.     )
    36.     .add("", data)
    37. )
    38.  
    39. parallel.render("parallel.html")

    8 Polar极坐标系

    1. from pyecharts.charts import Polar
    2.  
    3. cate = ['1月', '2月', '3月', '4月', '5月', '6月']
    4. data = [800, 953, 1089, 1207, 1400, 1123]
    5.  
    6. polar = (
    7.     Polar()
    8.     .add_schema(
    9.         radiusaxis_opts=opts.RadiusAxisOpts(data=cate, type_="category"),
    10.     )
    11.     .add("月消费", data, type_='bar')
    12. )
    13.  
    14. polar.render('polar.html')

    9 Radar雷达图

    1. from pyecharts.charts import Radar
    2.  
    3. data = [
    4.     [68, 61, 63, 68, 62, 67],
    5.     [88, 81, 83, 88, 82, 87],
    6.     [58, 51, 53, 58, 42, 37],
    7.     [78, 71, 73, 78, 72, 77],
    8.     [98, 91, 123, 98, 92, 97]
    9. ]
    10.  
    11. radar = (Radar()
    12.          .add_schema(schema=[
    13.     opts.RadarIndicatorItem(name="语文", max_=150),
    14.     opts.RadarIndicatorItem(name="数学", max_=150),
    15.     opts.RadarIndicatorItem(name="英语", max_=150),
    16.     opts.RadarIndicatorItem(name="物理", max_=100),
    17.     opts.RadarIndicatorItem(name="生物", max_=100),
    18.     opts.RadarIndicatorItem(name="化学", max_=100),
    19. ]
    20. )
    21.          .add('', data)
    22.          )
    23. radar.render('radar.html')

    10 Sunburst旭日图

    python的pyecharts绘制各种图表详细（附代码）
    pdf 0星 超过10%的资源 1.05MB
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    1. # 旭日图
    2. from pyecharts.charts import Sunburst
    3.  
    4. data = [
    5.     {"name": "湖南",
    6.      "children": [
    7.          {"name": "长沙",
    8.           "children": [
    9.               {"name": "雨花区", "value": 55},
    10.               {"name": "岳麓区", "value": 34},
    11.               {"name": "天心区", "value": 144},
    12.               {"name": "芙蓉区", "value": 111},
    13.               {"name": "开福区", "value": 84},
    14.               {"name": "望城区", "value": 99},
    15.           ]},
    16.          {"name": "常德",
    17.           "children": [
    18.               {"name": "武陵区", "value": 156},
    19.               {"name": "鼎城区", "value": 134},
    20.           ]},
    21.          {"name": "湘潭", "value": 87},
    22.          {"name": "株洲", "value": 23},
    23.      ],
    24.      },
    25.     {"name": "湖北",
    26.      "children": [
    27.          {"name": "武汉",
    28.           "children": [
    29.               {"name": "洪山区", "value": 55},
    30.               {"name": "东湖高新", "value": 78},
    31.               {"name": "江夏区", "value": 34},
    32.           ]},
    33.          {"name": "鄂州", "value": 67},
    34.          {"name": "襄阳", "value": 34},
    35.      ],
    36.      },
    37.     {"name": "台湾", "value": 235}
    38. ]
    39.  
    40. sunburst = (Sunburst()
    41.             .add("", data_pair=data)
    42.             )
    43.  
    44. sunburst.render('sunburst.html')

    11 Sankey桑基图

    1. from pyecharts.charts import Sankey
    2.  
    3. nodes = [
    4.     {"name": "访问"},
    5.     {"name": "关注"},
    6.     {"name": "付费"},
    7. ]
    8.  
    9. links = [
    10.     {"source": "访问", "target": "关注", "value": 150},
    11.     {"source": "关注", "target": "付费", "value": 60},
    12. ]
    13.  
    14. sankey = (
    15.     Sankey()
    16.     .add("", nodes, links)
    17. )
    18.  
    19. sankey.render('sankey.html')

    12 ThemeRiver河流图

    1. from pyecharts.charts import ThemeRiver
    2.  
    3. cate = ['1月', '2月', '3月', '4月', '5月', '6月']
    4. date_list = ["2022/6/{}".format(i + 1) for i in range(30)]
    5.  
    6. data = [[day, random.randint(10, 200), c] for day in date_list for c in cate]
    7.  
    8. river = (
    9.     ThemeRiver()
    10.     .add(
    11.         series_name=cate,
    12.         data=data,
    13.         singleaxis_opts=opts.SingleAxisOpts(type_="time")
    14.     )
    15. )
    16.  
    17. river.render('river.html')

    13 WordCloud词云图

    1. from pyecharts.charts import WordCloud
    2.  
    3. words = [
    4.     ("在吗", 230),
    5.     ("早啊", 124),
    6.     ("晚安", 436),
    7.     ("吃了吗", 255),
    8.     ("学习", 247),
    9.     ("哈哈", 244),
    10.     ("笑死", 138),
    11.     ("上课", 184),
    12.     ("憨批", 12),
    13.     ("抱抱", 165),
    14.     ("作业", 247),
    15.     ("放假", 182),
    16.     ("礼物", 25),
    17.     ("宝贝", 365),
    18.     ("今天", 173),
    19.     ("呵呵", 65),
    20. ]
    21.  
    22. wordCloud = (
    23.     WordCloud()
    24.     .add("", words)
    25. )
    26.  
    27. wordCloud.render('wordCloud.html')

    14 Table表格

    1. from pyecharts.components import Table
    2.  
    3. table = Table()
    4.  
    5. headers = ["City name", "Area", "Population", "Annual Rainfall"]
    6. rows = [
    7.     ["Brisbane", 5905, 1857594, 1146.4],
    8.     ["Adelaide", 1295, 1158259, 600.5],
    9.     ["Darwin", 112, 120900, 1714.7],
    10.     ["Hobart", 1357, 205556, 619.5],
    11.     ["Sydney", 2058, 4336374, 1214.8],
    12.     ["Melbourne", 1566, 3806092, 646.9],
    13.     ["Perth", 5386, 1554769, 869.4],
    14. ]
    15. table.add(headers, rows)
    16.  
    17. table.render('table.html')

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  • 原文地址：https://blog.csdn.net/c_lanxiaofang/article/details/126022922