pyecharts------基本图表

## 导入相关包
from pyecharts.charts import *
import pyecharts.options as opts

# 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()

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()

gauge = (Gauge().add("", [("检测率", 67.6)],
                     detail_label_opts=opts.GaugeDetailOpts(
                         formatter="{value}%", offset_center=[0, 80])))
gauge.render_notebook()

liquid = (
    Liquid()
    .add("", [0.66, 0.50])
)
liquid.render_notebook()

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()

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()

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()

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()