Pycharts其他类型图表

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import os, re
import random
import numpy as np
import pandas as pd
from datetime import date, datetime, timedelta

from pyecharts.charts import Kline, Line, Bar, Grid,Map,Pie,Timeline,Geo
from pyecharts.commons.utils import JsCode
from pyecharts import options as opts
from pyecharts.globals import CurrentConfig, NotebookType,ThemeType,ChartType, SymbolType
from pyecharts.faker import Faker

其他种类图表的基本用法

折线图

  1. is_smooth = False,# 是否平滑曲线
  2. is_connect_nones = False, # 是否连接空数据
  3. is_step = False, # 是否展示为阶梯图
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line = (Line()
        .add_xaxis(Faker.choose())
        .add_yaxis('B',Faker.values())
        .add_yaxis('C',Faker.values())
        .add_yaxis('D',Faker.values())
        .set_series_opts(
                markpoint_opts=opts.MarkPointOpts(
        data=[
            opts.MarkPointItem(type_="max", name="x轴最大",value_index=1)
        ]),
                        )
        )   
        
line.render_notebook()
line.render('1.html')
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c = (Pie().add("",
               [list(z) for z in zip(["古装", "其他"], [35, 65])],
               center=["20%", "30%"],        
                radius=[50, 80],        
                # label_opts=new_label_opts(),    
                )    
     .add(
         "",        
          [list(z) for z in zip(["动作", "其他"],[24, 76])],        
          center=["55%", "30%"],        
          radius=[50, 80],        
        #   label_opts=new_label_opts(),    
          )    
     .add(        
          "",        
          [list(z) for z in zip(["爱情", "其他"],[10, 90])],        
          center=["20%", "70%"],        
          radius=[50, 80], 
          label_opts=opts.LabelOpts(is_show=True),     
          )    
     .add(       
          "",        
          [list(z) for z in zip(["惊悚", "其他"],[20, 80])],        
          center=["55%", "70%"],       
          radius=[50, 80],        
          label_opts=opts.LabelOpts(is_show=True),     
          )    
     .set_global_opts(        
                      title_opts=opts.TitleOpts(title="Pie-多饼图基本示例"),        
                      legend_opts=opts.LegendOpts(            
                                                  type_="scroll", 
                                                  pos_top="30%", 
                                                  pos_left="70%", 
                                                  orient="vertical"        
                                                  ),    
                      )
)
c.render_notebook()
c.render('2.html')
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c = (Pie()
     .add(        
          "",        
          [list(z) for z in zip(Faker.choose(), Faker.values())],        
          radius=["40%", "75%"],        
          center=["35%", "50%"],        
          rosetype="radius",        
          label_opts=opts.LabelOpts(is_show=True),    
          )    
     .set_global_opts(
         title_opts=opts.TitleOpts(
             title="饼图-玫瑰图示例"))    
)   
c.render_notebook()
c.render('3.html')
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c = (Map()
     .add(
         "商家A", 
          [list(z) for z in zip(["杭州市", "宁波市", "舟山市", "台州市", "温州市", "丽水市", "金华市", "衢州市", "绍兴市", "湖州市", "嘉兴市"], Faker.values())], "浙江")
     .set_global_opts(
                      title_opts=opts.TitleOpts(
                          title="Map浙江地图-Test"), 
                      visualmap_opts=opts.VisualMapOpts()    
                      )    
)

c.render_notebook()
c.render('4.html')
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attr = Faker.choose()
tl = Timeline() 
for i in range(2015, 2022):    
    pie = (Pie()
            .add(            
                "商家A",            
                [list(z) for z in zip(attr, Faker.values())],            
                center=["50%", "50%"], radius=["40%", "60%"],        
                )        
            .set_global_opts(title_opts=opts.TitleOpts(
                "某商店{}年营业额".format(i)
                )
                                )    
            )    
    tl.add(pie, "{}年".format(i))
tl.render_notebook()
tl.render('5.html')
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c = (Bar()    
     .add_xaxis(Faker.choose())    
     .add_yaxis("商家1", Faker.values(), 
                category_gap="50%")    
     .set_series_opts(        
                      itemstyle_opts={            
                                      "normal": { "color": JsCode("""
                                                                  new echarts.graphic.LinearGradient(0, 0, 0, 1, [{offset: 0, color: 'rgba(0, 244, 255, 1)' }, 
                                                                      {offset: 1,color: 'rgba(0, 77, 167, 1)'}], 
                                                                      false
                                                                      )
                                                                      """                
                                                                      ),                
                                        "barBorderRadius": [50, 50, 50, 50],
                                        "shadowColor": "rgb(0, 160, 221)",
                                                 }        
                                      }   
                      )    
     .set_global_opts(
         title_opts=opts.TitleOpts(
             title="圆角直方图-渐变圆柱示例"
         )    
     ) 
)       
c.render_notebook()
c.render('6.html')
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c = (Map()
     .add(
         "商家1", 
         [list(z) for z in zip(Faker.provinces, Faker.values())], "china")    
     .set_global_opts(
         title_opts=opts.TitleOpts(
             title="地图 + 颜色分段（连续型）"
             ),        
         visualmap_opts=opts.VisualMapOpts(
             max_=150),    
         )    
)
c.render_notebook()
c.render('7.html')
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c = (Map()    
     .add(
         "商家1", 
         [list(z) for z in zip(Faker.country, Faker.values())], "world"
         )    
     .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    
     .set_global_opts( 
                      title_opts=opts.TitleOpts(title="Pyecharts-世界地图"),        
                      visualmap_opts=opts.VisualMapOpts(max_=200),    
                      )    
)
c.render_notebook()
c.render('8.html')
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c = (Geo()    
     .add_schema(        
                 maptype="china",        
                 itemstyle_opts=opts.ItemStyleOpts(color="#323c48", border_color="#111"),    
                 )    
     .add(        
          "",        
          [list(z) for z in zip(Faker.provinces, Faker.values())],        
          type_=ChartType.EFFECT_SCATTER,        
          color="white",    
          )    
     .add(        
          "geo",        
          [("宁波", "南京"), ("宁波", "北京"), ("宁波", "兰州"), ("宁波", "拉萨"), ("宁波", "银川"), ("宁波", "武汉")],        
          type_=ChartType.LINES,        
          effect_opts=opts.EffectOpts(            
                                      symbol=SymbolType.ARROW, 
                                      symbol_size=6, color="blue"        
                                      ),        
          linestyle_opts=opts.LineStyleOpts(curve=0.2),    
          )    
     .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    
     .set_global_opts(
          title_opts=opts.TitleOpts(
         title="Geo-Lines-background"
         )
          )    
)
c.render_notebook()
c.render('9.html')
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tl = Timeline()
for i in range(2015, 2022):    
    map0 = (Map()        
            .add(
                "商家1", 
                [list(z) for z in zip(Faker.provinces, Faker.values())], 
                "china"
                )        
            .set_global_opts(            
                             title_opts=opts.TitleOpts(
                                 title="{}年数据".format(i)
                                 ),            
                             visualmap_opts=opts.VisualMapOpts(max_=200),        
                             )    
            )    
    tl.add(map0, "{}年".format(i))
tl.render_notebook()
tl.render('10.html')
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