pyecharts︱交互式pyecharts的相关使用教程

from pyecharts import Bar

attr = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
bar = Bar("Bar chart", "precipitation and evaporation one year")
bar.add("precipitation", attr, v1, mark_line=["average"], mark_point=["max", "min"])
bar.add("evaporation", attr, v2, mark_line=["average"], mark_point=["max", "min"])
bar.render()
#bar

bar.render(path="render.png")

from pyecharts import EffectScatter
es = EffectScatter("动态散点图各种图形示例")
es.add("", [10], [10], symbol_size=20, effect_scale=3.5,
       effect_period=3, symbol="pin")
es.add("", [20], [20], symbol_size=12, effect_scale=4.5,
       effect_period=4,symbol="rect")
es.add("", [30], [30], symbol_size=30, effect_scale=5.5,
       effect_period=5,symbol="roundRect")
es.add("", [40], [40], symbol_size=10, effect_scale=6.5,
       effect_brushtype='fill',symbol="diamond")
es.add("", [50], [50], symbol_size=16, effect_scale=5.5,
       effect_period=3,symbol="arrow")
es.add("", [60], [60], symbol_size=6, effect_scale=2.5,
       effect_period=3,symbol="triangle")
es

from pyecharts import Graph

nodes = [{"name": "结点1", "symbolSize": 10},
         {"name": "结点2", "symbolSize": 20},
         {"name": "结点3", "symbolSize": 30},
         {"name": "结点4", "symbolSize": 40},
         {"name": "结点5", "symbolSize": 50},
         {"name": "结点6", "symbolSize": 40},
         {"name": "结点7", "symbolSize": 30},
         {"name": "结点8", "symbolSize": 20}]
links = []
for i in nodes:
    for j in nodes:
        links.append({"source": i.get('name'), "target": j.get('name')})
graph = Graph("关系图-力引导布局示例")
graph.add("", nodes, links, is_label_show=True,
          graph_repulsion=8000, graph_layout='circular',
          label_text_color=None)
graph

from __future__ import unicode_literals

import networkx as nx
from networkx.readwrite import json_graph
from pyecharts import Graph

g = nx.Graph()
categories = ['网关', '节点']
g.add_node('FF12C904', name='Gateway 1', symbolSize=40, category=0)
g.add_node('FF12CA02', name='Node 11', category=1)
g.add_node('FF12C326', name='Node 12', category=1)
g.add_node('FF45C023', name='Node 111', category=1)
g.add_node('FF230933', name='Node 1111', category=1)

g.add_edge('FF12C904', 'FF12CA02')
g.add_edge('FF12C904', 'FF12C326')
g.add_edge('FF12CA02', 'FF45C023')
g.add_edge('FF45C023', 'FF230933')

g_data = json_graph.node_link_data(g)
eg = Graph('设备最新拓扑图')
eg.add('Devices', nodes=g_data['nodes'], links=g_data['links'], categories=categories)
# eg.show_config()
eg

from pyecharts import options as opts
from pyecharts.charts import Page, WordCloud
from pyecharts.globals import SymbolType


words = [
    ("Sam S Club", 10000),
    ("Macys", 6181),
    ("Amy Schumer", 4386),
    ("Jurassic World", 4055),
    ("Charter Communications", 2467),
    ("Chick Fil A", 2244),
    ("Planet Fitness", 1868),
    ("Pitch Perfect", 1484),
    ("Express", 1112),
    ("Home", 865),
    ("Johnny Depp", 847),
    ("Lena Dunham", 582),
    ("Lewis Hamilton", 555),
    ("KXAN", 550),
    ("Mary Ellen Mark", 462),
    ("Farrah Abraham", 366),
    ("Rita Ora", 360),
    ("Serena Williams", 282),
    ("NCAA baseball tournament", 273),
    ("Point Break", 265),
]


def wordcloud_base() -> WordCloud:
    c = (
        WordCloud()
        .add("", words, word_size_range=[20, 100])
        .set_global_opts(title_opts=opts.TitleOpts(title=""))
    )
    return c

wordcloud_base().render_notebook()

from pyecharts import TreeMap

treemap = TreeMap("矩形树图示例", width=1200, height=600)
import os
import json
with open(os.path.join("..", "json", "treemap.json"), "r", encoding="utf-8") as f:
        data = json.load(f)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside')
treemap.render()

from pyecharts.charts import Bar
from pyecharts import options as opts

index_res = ['favoriteCount', 'likeCount','sharecount', 'commentCount']
index_res_ch = ['收藏数', '喜欢数','分享数', '评论数']

# V1 版本开始支持链式调用
bar = (
    Bar()
    .add_xaxis(list(research_data.index))
    .add_yaxis('收藏数',list(research_data['favoriteCount'])  )
    #.add_yaxis("没有视频",  list(research_data[index_res].ix[0,:])  )
    .set_global_opts(title_opts=opts.TitleOpts(title="收藏/喜欢/分享/评论数"))
)
bar.render_notebook()

import pyecharts.options as opts
from pyecharts.charts import Line


x_data = list(research_data.index)
y_data = list(research_data['favoriteCount']) 

line = (
    Line()
    .set_global_opts(
        tooltip_opts=opts.TooltipOpts(is_show=False),
        xaxis_opts=opts.AxisOpts(type_="category"),
        yaxis_opts=opts.AxisOpts(
            type_="value",
            axistick_opts=opts.AxisTickOpts(is_show=True),
            splitline_opts=opts.SplitLineOpts(is_show=True),
        ),
    )
    .add_xaxis(xaxis_data=x_data)
    .add_yaxis(
        series_name="收藏数",
        y_axis=y_data,
        symbol="emptyCircle",
        is_symbol_show=True,
        label_opts=opts.LabelOpts(is_show=False),
    )
    #.render("basic_line_chart.html")
)
line.render_notebook() 

corr_data = xiaohongshu_kol[['favoritecount','likecount', 'sharecount']].corr()  # viewcount

values = []
for x in range(corr_data.shape[0]):
    for y in range(corr_data.shape[1]):
        values.append([x,y,corr_data.ix[x,y]])
        
x_colnames = corr_data.index.to_list()
y_colnames = corr_data.columns.to_list()

# 绘图
c = (
    HeatMap()
    .add_xaxis(x_colnames)
    .add_yaxis("corr", y_colnames, values)
    .set_global_opts(
        title_opts=opts.TitleOpts(title="相关矩阵热力图"),
        visualmap_opts=opts.VisualMapOpts(max_=1, is_piecewise=True),
    )
)
c.render_notebook() 

[[0, 0, 1.0],
 [0, 1, 0.7771863236775227],
 [0, 2, 0.727424900237336],
 [0, 3, 0.09334192707534165],
 [0, 4, 0.004296439662247044],
 [1, 1, 1.0],
 [1, 2, 0.7287852426205351],
 [1, 3, 0.14173048773739305]]