数据可视化

PyEcharts学习

官网
安装

pip install pyecharts

from pyecharts.charts import Bar
bar=Bar()
bar.add_xaxis(['衬衣','短库','长袖','短袖','棉花','鞋子','裤子'])
bar.add_yaxis('商家',[2,23,45,56,34,90,12])
bar.render()#渲染

快速使用

简单配置

from pyecharts.charts import Bar
bar=(Bar().add_xaxis(['衬衣','短库','长袖','短袖','棉花','鞋子','裤子']).add_yaxis('商家',[2,23,45,56,34,90,12])#配置.set_global_opts(title_opts={'text':'主标题','subtext':'副标题'})
)
bar.render()#渲染

渲染成图片文件

安装

pip install snapshot-selenium

from pyecharts.charts import Bar
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot
bar=(Bar().add_xaxis(['衬衣','短库','长袖','短袖','棉花','鞋子','裤子']).add_yaxis('商家',[2,23,45,56,34,90,12])
)
make_snapshot(snapshot,bar.render(),'bar.png')

使用主题

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot
from pyecharts.globals import ThemeType
bar=(Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK)).add_xaxis(['衬衣','短库','长袖','短袖','棉花','鞋子','裤子']).add_yaxis('商家',[2,23,45,56,34,90,12])
)
bar.render()

全局配置项

初始化配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType,RenderType
bar=(Bar(#InitOpts:初始化配置项init_opts=opts.InitOpts(width='700px',height='800px',#图表画布大小，css长度单位renderer=RenderType.CANVAS,#渲染风格，可选：canvas,svgpage_title='网页标题',theme=ThemeType.DARK,#主题bg_color='red'#背景颜色)).add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values()).add_yaxis('商家B',Faker.values())
)
bar.render()

标题配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Bar().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())# 全局配置项.set_global_opts(# TitleOpts:标题配置项title_opts=opts.TitleOpts(title='柱形图',  # 主标题title_link='https://www.baidu.com',  # 主标题点击跳转链接title_target='blank',  # blank新窗口打开，self 当前窗口打开subtitle='副标题',subtitle_link='https://www.baidu.com',subtitle_target='blank',# 位置pos_left='20px',pos_top='0px',padding=10,  # 内边距item_gap=4,  # 主标题与副标题的间隙),)
)
bar.render()

区域缩放项

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Bar().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())# 全局配置项.set_global_opts(#DataZoomOpts:区域缩放项datazoom_opts=opts.DataZoomOpts(is_show=True,  # 是否显行组件type_='slider',  # 组件的类型，slider,insideis_realtime=True,  # 拖动时是否实时更新图表range_start=20,  # 数据窗口的起始位置，百分比range_end=80,  # 数据窗口的结束位置，百分比orient='horizontal',  # 组件放置位置，默认水平horizontal或垂直verticalis_show_data_shadow=False  # 是否锁定选择区域),)
)
bar.render()

图例配置

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Bar().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())# 全局配置项.set_global_opts(#LegendOpts:图例配置项legend_opts=opts.LegendOpts(type_='plain',#图例类型：plain普通类型，scroll:滚动翻页类型is_show=True,#是否显示图例pos_left='20%',#图例位置orient='vertical',#方向selected_mode='single',#选择模式：True 开启图例点击，False 关闭图例点击，single 单选，multiple 多选align='right',#图例和图标的位置padding=10,#内边距item_gap=5,#图例中每项之间的间距item_width=30,#项的宽度item_height=15,#项的高度inactive_color='#ccc',#图列关闭时的颜色legend_icon='roundRect',#常见图标：circle,rect,roundRect,triangle,diamond,arrov))
)
bar.render()

视觉映射配置

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Bar().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())# 全局配置项.set_global_opts(#VisualMapOpts:视觉映射配置visualmap_opts=opts.VisualMapOpts(is_show=True,type_='color',#color 或sizemin_=0,#最小值max_=150,#最大值range_opacity=0.7,#图元和文字透明度range_text=['max','min'],#两段的文本range_color=['blue','red','pink'],#过渡颜色is_piecewise=True,#是否分段is_inverse=True,#是否反转))
)
bar.render()

提示框配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Bar().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())# 全局配置项.set_global_opts(#TooltipOpts:提示框配置项tooltip_opts=opts.TooltipOpts(is_show=True,#触发类型：item 数据项，一般用于：散点图，柱形图，饼图#       ：axis 坐标轴，提示线，主要用于条形图，折线图等trigger='item',#触发条件：mousemove,click,mousemove|clicktrigger_on='click',is_show_content=True,#是否显示提示框浮层#标签内容的格式#字符串中的模板变量：#{a}:系列名series_name#{b}:数据名#{c}:值formatter='{a}:{b}-{c}',border_color='pink',#边框颜色border_width=1,#边框宽度background_color='blue'#背景颜色))
)
bar.render()

坐标轴配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Bar().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())# 全局配置项.set_global_opts(#AxisOpts:坐标轴配置项xaxis_opts=opts.AxisOpts(is_show=True,#是否显示X轴#坐标轴类型：#   value:数值轴，用于连续数据#   category:类目轴，适用于离散数据，比如，星期一，星期二等#   time:时间轴，适用于连续的时序数据type_='category'),yaxis_opts=opts.AxisOpts(is_show=True,#不显示y轴的线axisline_opts=opts.AxisLineOpts(is_show=False),#不显示y轴的刻度axistick_opts=opts.AxisTickOpts(is_show=False)))
)
bar.render()

系列配置项

图元样式配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Line().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())#全局配置.set_global_opts(title_opts=opts.TitleOpts(title='折线图'),#提示线tooltip_opts=opts.TooltipOpts(trigger='axis'))#系列配置项.set_series_opts(#ItemStyleOpts:图元样式配置项#图的颜色# 使用纯色# RGB，rgb(120,120,120)# RGBA,rgba(120,120,120,0.5)# 十六进制：#ccccolor='blue',opacity=0.6,border_color='green',border_width=2))
bar.render()

线样式配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Line().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())#全局配置.set_global_opts(title_opts=opts.TitleOpts(title='折线图'),#提示线tooltip_opts=opts.TooltipOpts(trigger='axis'))#系列配置项.set_series_opts(#LineStyleOpts:线样式配置项linestyle_opts=opts.LineStyleOpts(is_show=True,width=2,#线宽color='green',#线颜色type_='dashed',#直线solid,虚线dashed,点线dotted)))
bar.render()

标签配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Line().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())#全局配置.set_global_opts(title_opts=opts.TitleOpts(title='折线图'),#提示线tooltip_opts=opts.TooltipOpts(trigger='axis'))#系列配置项.set_series_opts(#LabelOpts:标签配置项label_opts=opts.LabelOpts(is_show=True,position='top',#位置color='red',#颜色font_size=14,#大小font_family='Arial',#字体font_style='italic',#是否斜体，italicfont_weight='bold',#是否加粗 bold#标签旋转，-90到90rotate=-40)))
bar.render()

标记点配置项

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Line().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())#全局配置.set_global_opts(title_opts=opts.TitleOpts(title='折线图'),#提示线tooltip_opts=opts.TooltipOpts(trigger='axis'))#系列配置项.set_series_opts(#MarkPointOpts:标记点配置项markpoint_opts=opts.MarkPointOpts(data=[#type_:特殊标记类型，min,max,average#symbol:标记点的图形#symbol_size:标记点的大小opts.MarkPointItem(type_='max',symbol='pin',symbol_size=50),opts.MarkPointItem(type_='min')])))
bar.render()

标记线

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderTypebar = (Line().add_xaxis(Faker.choose()).add_yaxis('商家A', Faker.values()).add_yaxis('商家B', Faker.values())#全局配置.set_global_opts(title_opts=opts.TitleOpts(title='折线图'),#提示线tooltip_opts=opts.TooltipOpts(trigger='axis'))#系列配置项.set_series_opts(#MarkLineOpts:标记线markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_='average')],label_opts=opts.LabelOpts(color='red'))))
bar.render()

饼图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
pie=(Pie().add('',[list(i) for i in zip(Faker.choose(),Faker.values())]).set_colors(['red','blue','green','orange','yellow','pink','black']).set_global_opts(title_opts=opts.TitleOpts(title='设置颜色'),legend_opts=opts.LegendOpts(type_='scroll',pos_left='80%',orient='vertical')).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}"))
)pie.render()

玫瑰图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
pie=(Pie().add('',[list(i) for i in zip(Faker.choose(),Faker.values())],radius=['30%','75%'],center=['25%','50%'],rosetype='radius').set_global_opts(title_opts=opts.TitleOpts(title='玫瑰图'),legend_opts=opts.LegendOpts(type_='scroll',pos_left='80%',orient='vertical')).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}"))
)pie.render()

柱形图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
bar=(Bar(init_opts=opts.InitOpts(animation_opts=opts.AnimationOpts(animation_delay=1000,#动画延时1秒钟animation_easing='elasticOut'#弹性动画))).add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values()).add_yaxis('商家B',Faker.values()).set_global_opts(title_opts=opts.TitleOpts(title='柱形图'),legend_opts=opts.LegendOpts(type_='scroll',pos_left='80%',orient='vertical')).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}"))
)bar.render()

添加js代码

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
from pyecharts.commons.utils import JsCode
bar=(Bar(init_opts=opts.InitOpts(bg_color={'image':JsCode('img'),'repeat':'no-repeat'})).add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values()).add_yaxis('商家B',Faker.values()).set_global_opts(title_opts=opts.TitleOpts(title='柱形图添加JS代码'),legend_opts=opts.LegendOpts(type_='scroll',pos_left='80%',orient='vertical')).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}"))#添加js代码.add_js_funcs("""var img=new Image();img.src='https://ts3.cn.mm.bing.net/th?id=OSK.HEROAswkkmw5w3FXgT4DZB0RybGod_LpTISZPIztKg7SV0Q&w=472&h=280&c=13&rs=2&o=6&oif=webp&dpr=1.3&pid=SANGAM'""")
)bar.render()

堆叠柱形图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
from pyecharts.commons.utils import JsCode
bar=(Bar().add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values(),stack='abc').add_yaxis('商家B',Faker.values(),stack='abc').set_global_opts(title_opts=opts.TitleOpts(title='堆叠柱形图'),legend_opts=opts.LegendOpts(type_='scroll',pos_left='80%',orient='vertical'),xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=45)),datazoom_opts=[opts.DataZoomOpts(),#x轴缩放opts.DataZoomOpts(type_='inside')#鼠标缩放]).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}")))bar.render()

条形图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
from pyecharts.commons.utils import JsCode
bar=(Bar().add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values()).add_yaxis('商家B',Faker.values()).reversal_axis()#翻转轴，条形图.set_global_opts(title_opts=opts.TitleOpts(title='条形图'),).set_series_opts(label_opts=opts.LabelOpts(position='right')))bar.render()

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
from pyecharts.commons.utils import JsCode
bar=(Bar().add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values(),gap='0%').add_yaxis('商家B',Faker.values(),gap='0%').set_global_opts(title_opts=opts.TitleOpts(title='不同系列柱子之间的距离'),).set_series_opts(label_opts=opts.LabelOpts(position='right')))bar.render()

直方图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
from pyecharts.commons.utils import JsCode
bar=(Bar().add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values(),category_gap=0).set_global_opts(title_opts=opts.TitleOpts(title='单系列柱子之间的距离，直方图'),)
)bar.render()

JsCode自定义柱状颜色

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType
from pyecharts.commons.utils import JsCode
color_fun="""function(params){if(params.value >0 && params.value<50){return 'red';}else if (params.value >50 && params.value<100){return 'green';}else{return 'blue';}}
"""
bar=(Bar().add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values(),itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_fun))).set_global_opts(title_opts=opts.TitleOpts(title='JsCode自定义柱状颜色'),)
)bar.render()

象形柱状图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodebar=(PictorialBar().add_xaxis(Faker.choose()).add_yaxis('商家A',Faker.values(),label_opts=opts.LabelOpts(is_show=False),symbol_size=10,#符号大小is_symbol_clip=True,#符号裁剪symbol_repeat='fixed',#重复方式symbol=SymbolType.ROUND_RECT,#符号类型).reversal_axis().set_global_opts(title_opts=opts.TitleOpts(title='象形柱状图'),xaxis_opts=opts.AxisOpts(is_show=False),#不显示X轴yaxis_opts=opts.AxisOpts(axistick_opts=opts.AxisOpts(is_show=False),#不显示y轴刻度axisline_opts=opts.AxisOpts(is_show=False)#不显示y轴的线))
)bar.render()

雷达图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,Radar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
v1=[[4300,10000,28000,35000,50000,19000]]
v2=[[5000,14000,28000,31000,50000,19000]]
bar=(Radar().add_schema(schema=[opts.RadarIndicatorItem(name='项目1',max_=6000),opts.RadarIndicatorItem(name='项目2',max_=16000),opts.RadarIndicatorItem(name='项目3',max_=30000),opts.RadarIndicatorItem(name='项目4',max_=38000),opts.RadarIndicatorItem(name='项目5',max_=60000),opts.RadarIndicatorItem(name='项目6',max_=22000),]).set_global_opts(title_opts=opts.TitleOpts(title='雷达图')).add('数据1',v1,color='blue').add('数据2',v2).set_series_opts(label_opts=opts.LabelOpts(is_show=True))
)bar.render()

拆线图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,Radar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodeline=(Line(init_opts=opts.InitOpts(width='1000px',height='500px')).add_xaxis(Faker.week).add_yaxis('商家A',Faker.values(),symbol='triangle',#点符号类型:triangle三角形symbol_size=20,#点的大小linestyle_opts=opts.LineStyleOpts(color='green',width=2,type_='dashed'),#线条样式label_opts=opts.LabelOpts(is_show=False),#标签itemstyle_opts=opts.ItemStyleOpts(border_color='green',border_width=2,color='yellow'),#点的属性markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max'),#最大值opts.MarkPointItem(type_='mih'),#最小值]),#标注点markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_='average'),#平均值]),#标注线).add_yaxis('商家A',Faker.values(),is_smooth=True)#平滑曲线.set_global_opts(title_opts=opts.TitleOpts(title='拆线图'),tooltip_opts=opts.TooltipOpts(trigger='axis'),#提示线yaxis_opts=opts.AxisOpts(type_='value',splitline_opts=opts.SplitAreaOpts(is_show=True),#显示分隔线))
)line.render()

面积图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,Radar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodeline=(Line().add_xaxis(Faker.week).add_yaxis('',y_axis=[1,23,34,56,34,78,33],areastyle_opts=opts.AreaStyleOpts(opacity=0.5),#面积图).set_global_opts(title_opts=opts.TitleOpts(title='面积图'),tooltip_opts=opts.TooltipOpts(trigger='axis'),#提示线xaxis_opts=opts.AxisOpts(type_='category',boundary_gap=False),#boundary_gap:没有间隙))line.render()

堆叠面积图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,Radar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodeline=(Line().add_xaxis(Faker.week).add_yaxis('广告',y_axis=[1,23,34,56,34,78,33],areastyle_opts=opts.AreaStyleOpts(opacity=0.5),#面积图stack='堆叠',label_opts=opts.LabelOpts(is_show=False))
.add_yaxis('流量',y_axis=[1,23,34,56,34,78,33],areastyle_opts=opts.AreaStyleOpts(opacity=0.5),#面积图stack='堆叠',label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title='堆叠面积图'),tooltip_opts=opts.TooltipOpts(trigger='axis'),#提示线xaxis_opts=opts.AxisOpts(type_='category',boundary_gap=False),#boundary_gap:没有间隙))line.render()

散点图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,Radar,Scatter
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
data=[[1,3],[1,5],[4,5],[4,5.8],[4.9,5.8],[8,5.8],[8.9,5.8],[2,5.8],]
data.sort(key=lambda x:x[0])
x_data=[i[0] for i in data]
y_data=[y[0] for y in data]
scatter=(Scatter(init_opts=opts.InitOpts(width='800px',height='400px')).add_xaxis(xaxis_data=x_data).add_yaxis('',y_axis=y_data,symbol_size=20,label_opts=opts.LabelOpts(is_show=True)).set_global_opts(title_opts=opts.TitleOpts(title='散点图'),xaxis_opts=opts.AxisOpts(type_='value',splitline_opts=opts.SplitLineOpts(is_show=True)),yaxis_opts=opts.AxisOpts(type_='value',splitline_opts=opts.SplitLineOpts(is_show=True))))scatter.render()

涟漪散点图

from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,Radar,Scatter,EffectScatter
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodeeffectscatter=(EffectScatter().add_xaxis(Faker.choose()).add_yaxis('',Faker.values(),symbol=SymbolType.ARROW).set_global_opts(title_opts=opts.TitleOpts(title='涟漪散点图')))effectscatter.render()

热力图

import random
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
value=[[i,j,random.randint(0,50)]for i in range(24) for j in range(7)]
effectscatter=(HeatMap().add_xaxis(Faker.clock)#clock：时钟.add_yaxis('热力图',Faker.week,value,label_opts=opts.LabelOpts(is_show=True,position='inside')).set_global_opts(title_opts=opts.TitleOpts(title='热力图')))effectscatter.render()

日历图

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
begin=datetime.date(2024,1,1)
end=datetime.date(2024,12,31)
data=[[str(begin+datetime.timedelta(days=i)),random.randint(1000,25000)]for i in range((end-begin).days)]
calendar=(Calendar().add('',data,calendar_opts=opts.CalendarOpts(range_='2024',daylabel_opts=opts.CalendarDayLabelOpts(name_map='cn'),#中文monthlabel_opts=opts.CalendarMonthLabelOpts(name_map='cn'),#中文)).set_global_opts(title_opts=opts.TitleOpts(title='日历图'),visualmap_opts=opts.VisualMapOpts(max_=25000,min_=1000,orient='horizontal',#水平方向is_piecewise=True,#显示方式pos_left='100px',pos_top='230px')))calendar.render()

箱型图

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar,Boxplot
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
v1=[[23,234,4353,23432,654,89,98798],[23,2342,435,2332,6534,89,9898]]
boxplot=Boxplot()
boxplot.add_xaxis(['demo1','demo2'])
boxplot.add_yaxis('A',boxplot.prepare_data(v1))
boxplot.render()

词云图

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar,Boxplot,WordCloud
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
data=[(i,random.randint(1,1000))  for i in Faker.choose() ]
wordcloud=(WordCloud().add('热点分析',data_pair=data,word_size_range=[6,60],#字体大小范围textstyle_opts=opts.TextStyleOpts(font_family='cursive'#字体)).set_global_opts(title_opts=opts.TitleOpts(title='词云图')))
wordcloud.render()

漏斗图

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar,Boxplot,WordCloud,\
Funnel
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
data=[(i,random.randint(1,1000))  for i in Faker.choose() ]
funnel=(Funnel().add('商品',[list(i) for i in zip(Faker.choose(),Faker.values())],gap=2,#间隙tooltip_opts=opts.TooltipOpts(trigger='item',formatter='{a}<br/> {b}:{c}')).set_global_opts(title_opts=opts.TitleOpts(title='漏斗图')))
funnel.render()

极坐标图

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar,Boxplot,WordCloud,\
Funnel,Polar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodepolar=(Polar().add_schema(radiusaxis_opts=opts.RadiusAxisOpts(data=Faker.week,type_='category')).add('商品A',[1,24,34,45,76,12,90],type_='bar',stack='abc').add('商品B',[1,30,34,45,76,13,90],type_='bar',stack='abc').add('商品C',[1,24,34,56,76,12,90],type_='bar',stack='abc').set_global_opts(title_opts=opts.TitleOpts(title='极坐标图+堆叠柱形图')))
polar.render()

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar,Boxplot,WordCloud,\
Funnel,Polar
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCode
data=[(i,random.randint(1,100))for i in range(101)]
polar=(Polar().add('极坐标',data,type_='scatter',#散点图label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title='极坐标图')))
polar.render()

水球图

import random,datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar,Line,Pie,PictorialBar,\
Radar,Scatter,EffectScatter,HeatMap,Calendar,Boxplot,WordCloud,\
Funnel,Polar,Liquid
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType,SymbolType
from pyecharts.commons.utils import JsCodeliquid=(Liquid().add('',[0.2,0.7]).set_global_opts(title_opts=opts.TitleOpts(title='水球图')))
liquid.render()

桑基图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCodenodes = [{'name': 'c1'},{'name': 'c2'},{'name': 'c3'},{'name': 'c4'},{'name': 'c5'},{'name': 'c6'},{'name': 'c7'},
]
links=[{'source':'c1','target':'c2','value':10},{'source':'c2','target':'c3','value':20},{'source':'c3','target':'c4','value':30},{'source':'c4','target':'c5','value':40},{'source':'c6','target':'c7','value':50},
]
sankey = (Sankey().add('',nodes,#所有节点links,#节点之间的链接关系linestyle_opt=opts.LineStyleOpts(opacity=0.2,#透明度curve=0.6,#曲线幅度0~1color='red')).set_global_opts(title_opts=opts.TitleOpts(title='桑基图')))
sankey.render()

旭日图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey,Sunburst
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCode
data=[opts.SunburstItem(name='Grandpa',children=[opts.SunburstItem(name='Uncle',value=15,children=[opts.SunburstItem(name='Jack',value=2),opts.SunburstItem(name='Mary',value=5,children=[opts.SunburstItem(name='Jackson',value=2)])])],),opts.SunburstItem(name='Father',value=10,children=[opts.SunburstItem(name='Me',value=5),opts.SunburstItem(name='Peter',value=1),]),opts.SunburstItem(name='Nancy',children=[opts.SunburstItem(name='Nike',children=[opts.SunburstItem(name='Betty',value=1),opts.SunburstItem(name='Jenny',value=2)])])
]sunburst = (Sunburst(init_opts=opts.InitOpts(width='800px',height='400px')).add('',data_pair=data).set_global_opts(title_opts=opts.TitleOpts(title='旭日图')))
sunburst.render()

仪表盘

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey,Sunburst,Gauge
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCodegauge = (Gauge().add('指标',data_pair=[('','66')],radius='60%').set_global_opts(title_opts=opts.TitleOpts(title='仪表盘')))
gauge.render()

树图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey,Sunburst,Gauge,Tree
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCode
data=[{'children':[{'name':'叔叔'},{'children':[{'name':'小华'}],'name':'伯伯'},{'name':'父亲','children':[{'name':'我'},{'name':'姐姐'}]}],'name':'祖父母'}
]tree = (Tree().add('指标',data).set_global_opts(title_opts=opts.TitleOpts(title='树图')))
tree.render()

矩形树图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey,Sunburst,Gauge,Tree,TreeMap
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCode
data=[{'value':40,'name':'伯伯'},{'value':180,'name':'父亲','children':[{'value':70,'name':'我','children':[{'value':12,'name':'大儿子'},{'value':28,'name':'二儿子'},{'value':18,'name':'三女儿'},{'value':16,'name':'四女儿'},]}]}
]treemap = (TreeMap().add('',data).set_global_opts(title_opts=opts.TitleOpts(title='矩形树图')))
treemap.render()

关系图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey,Sunburst,Gauge,Tree,TreeMap,Graph
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCode
nodes=[{'name':'node1','symbolSize':10},{'name':'node2','symbolSize':20},{'name':'node3','symbolSize':30},{'name':'node4','symbolSize':40},{'name':'node5','symbolSize':50},{'name':'node6','symbolSize':60},{'name':'node7','symbolSize':10},
]
links=[]
for i in nodes:for j in nodes:links.append({'source':i.get('name'),'target':j.get('name')})graph = (Graph().add('',nodes,links,repulsion=8000#排斥力：越大分的越开).set_global_opts(title_opts=opts.TitleOpts(title='关系图')))
graph.render()

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey,Sunburst,Gauge,Tree,TreeMap,Graph
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCode
nodes_data=[opts.GraphNode(name='node1',symbol_size=10),opts.GraphNode(name='node2',symbol_size=20),opts.GraphNode(name='node3',symbol_size=30),opts.GraphNode(name='node4',symbol_size=40),opts.GraphNode(name='node5',symbol_size=50),opts.GraphNode(name='node6',symbol_size=60),
]
link_data=[opts.GraphLink(source='node1',target='node2',value=1),opts.GraphLink(source='node2',target='node3',value=2),opts.GraphLink(source='node3',target='node4',value=3),opts.GraphLink(source='node4',target='node5',value=4),opts.GraphLink(source='node5',target='node6',value=5),opts.GraphLink(source='node6',target='node1',value=6),
]graph = (Graph().add('',nodes_data,link_data,repulsion=3000,#排斥力：越大分的越开edge_label=opts.LabelOpts(is_show=True,position='middle',formatter='{b}的数据:{c}')).set_global_opts(title_opts=opts.TitleOpts(title='关系图2')))
graph.render()

K线图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, Kline
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCodedata = [# 开盘价，收盘价，最低价，最高价[2320.20, 2320.26, 2287, 2363],[2320.21, 2320.26, 2287, 2363],[2320.22, 2320.27, 2284, 2362],[2320.20, 2320.27, 2283, 2363],[2320.23, 2320.20, 2282, 2364],[2320.24, 2320.22, 2281, 2365],
]kline = (Kline().add_xaxis(['2024/1/{}'.format(i + 1) for i in range(31)]).add_yaxis('K线图', data).set_global_opts(title_opts=opts.TitleOpts(title='K线图')))
kline.render()

地图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline,Map
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCodeprovinces=[p+"市" if p=='上海'else p+'省' for p in Faker.provinces]map = (Map().add('',[list(i) for i in zip(provinces,Faker.values())],'china'#地图类型).set_global_opts(title_opts=opts.TitleOpts(title='地图'),visualmap_opts=opts.VisualMapOpts(max_=200)))
map.render()

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline,Map
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCodemap = (Map().add('',[list(i) for i in zip(Faker.guangdong_city,Faker.values())],'广东'#地图类型).set_global_opts(title_opts=opts.TitleOpts(title='广东地图'),visualmap_opts=opts.VisualMapOpts(max_=200,is_piecewise=True)))
map.render()

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline,Map
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCodemap = (Map().add('',[list(i) for i in zip(Faker.country,Faker.values())],'world'#地图类型).set_global_opts(title_opts=opts.TitleOpts(title='世界地图'),visualmap_opts=opts.VisualMapOpts(max_=200,is_piecewise=True)))
map.render()

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline,Map,MapGlobe
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType
from pyecharts.commons.utils import JsCode
POPULATION=[['china',1322343243],['India',132343243],['Indonesia',1322343243],['Mexico',1022343243],['Japan',122343243],['Ethiopia',1122343243],]
data=[i for _,i in POPULATION]
low,high=min(data),max(data)
mapglobe = (MapGlobe().add_schema().add(maptype='world',series_name='世界人口',data_pair=POPULATION,#人口数据is_map_symbol_show=False,#地图中各个国家的符号是否显示label_opts=opts.LabelOpts(is_show=True)#显示国家名称).set_global_opts(title_opts=opts.TitleOpts(title='地球'),visualmap_opts=opts.VisualMapOpts(max_=high,min_=low,range_text=['Max','Min'],is_piecewise=True)))
mapglobe.render()

地理坐标图

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCodegeo = (Geo().add_schema(maptype='china').add('',[('广州', 50), ('北京', 60), ('杭州', 70), ('重庆', 80)],type_=ChartType.EFFECT_SCATTER, color='red').add('',[('广州', '上海'), ('广州', '北京'), ('广州', '杭州'), ('广州', '重庆')],type_=ChartType.LINES,  # 线#箭头effect_opts=opts.EffectOpts(symbol_size=6,symbol=SymbolType.ARROW,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='地理坐标图'),))
geo.render()

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCodegeo = (Geo().add_schema(maptype='china').add('geo',[list(i) for i in zip(Faker.provinces,Faker.values())],type_=ChartType.HEATMAP#热力图).set_series_opts(label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title='地理坐标图+热力图'),visualmap_opts=opts.VisualMapOpts()))
geo.render()

import random, datetime
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCodegeo = (Geo().add_schema(maptype='china').add('geo',[list(i) for i in zip(Faker.provinces,Faker.values())],type_=ChartType.EFFECT_SCATTER#涟漪散点图).set_series_opts(label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title='地理坐标图+涟漪散点图'),visualmap_opts=opts.VisualMapOpts()))
geo.render()

3D拆线图

import random, datetime,math
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo,Line3D
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCode
data=[]
for i in range(0,25000):_i=i/1000x=(1+0.25*math.cos(75*_i))*math.cos(_i)y=(1+0.25*math.cos(75*_i))*math.sin(_i)z=_i+2.0*math.sin(75*_i)data.append([x,y,z])line3d = (Line3D().add('',data,xaxis3d_opts=opts.Axis3DOpts(Faker.clock,type_='value'),yaxis3d_opts=opts.Axis3DOpts(Faker.week,type_='value'),grid3d_opts=opts.Grid3DOpts(width=100,depth=100,rotate_speed=150,is_rotate=True)).set_series_opts(label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title='3D拆线图'),visualmap_opts=opts.VisualMapOpts(min_=0,max_=30,range_color=Faker.visual_color)))
line3d.render()

3D柱状图

import random, datetime,math
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo,Line3D,Bar3D
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCode
data=[(i,j,random.randint(0,12)) for i in range(6) for j in range(24)]bar3d = (Bar3D().add('',[[d[1],d[0],d[2] ]for d in data],xaxis3d_opts=opts.Axis3DOpts(Faker.clock,type_='category'),yaxis3d_opts=opts.Axis3DOpts(Faker.week,type_='category'),zaxis3d_opts=opts.Axis3DOpts(type_='value')).set_global_opts(title_opts=opts.TitleOpts(title='3D柱状图'),visualmap_opts=opts.VisualMapOpts(max_=15,)))
bar3d.render()

3D堆叠柱状图

import random, datetime, math
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo, Line3D, Bar3D
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCodex_data = y_data = list(range(10))def generate_data():data = []for i in range(10):for j in range(10):value = random.randint(0, 9)data.append([i, j, value * 2 + 4])return databar3d = Bar3D()
for _ in range(10):bar3d.add('',generate_data(),xaxis3d_opts=opts.Axis3DOpts(x_data, type_='value'),yaxis3d_opts=opts.Axis3DOpts(y_data, type_='value'),zaxis3d_opts=opts.Axis3DOpts(type_='value'),shading='lambert'  # 清晰)
bar3d.set_global_opts(title_opts=opts.TitleOpts(title='3D堆叠柱状图'),visualmap_opts=opts.VisualMapOpts(max_=15,)
)bar3d.set_series_opts(stack='abc')
bar3d.render()

时间轮播图

import random, datetime, math
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo, Line3D, Bar3D,Timeline
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCodex=Faker.choose()
tl=Timeline()
for i in range(2020,2025):bar=(Bar().add_xaxis(x).add_yaxis('A',Faker.values()).add_yaxis('B',Faker.values()).set_global_opts(title_opts=opts.TitleOpts(title='时间轮播图')))tl.add(bar,'{}年'.format(i))
tl.render()

并行布局

import random, datetime, math
from pyecharts.faker import Faker
from pyecharts.charts import Bar, Line, Pie, PictorialBar, \Radar, Scatter, EffectScatter, HeatMap, Calendar, Boxplot, WordCloud, \Funnel, Polar, Liquid, Sankey, Sunburst, Gauge, Tree, TreeMap, Graph, \Kline, Map, MapGlobe, Geo, Line3D, Bar3D,Timeline,Grid
from pyecharts import options as opts
from pyecharts.globals import ThemeType, RenderType, SymbolType, ChartType
from pyecharts.commons.utils import JsCode
line=(Line().add_xaxis(Faker.choose()).add_yaxis('A',Faker.values()).add_yaxis('B',Faker.values()).set_global_opts(title_opts=opts.TitleOpts(title='拆线图',pos_left='5%'),legend_opts=opts.LegendOpts(pos_left='20%'))
)
scatter=(Scatter().add_xaxis(Faker.choose()).add_yaxis('C',Faker.values()).add_yaxis('D',Faker.values()).set_global_opts(title_opts=opts.TitleOpts(title='散点图',pos_right='40%'),legend_opts=opts.LegendOpts(pos_right='20%'))
)
grid=(Grid().add(line,grid_opts=opts.GridOpts(pos_right='55%')).add(scatter,grid_opts=opts.GridOpts(pos_left='55%'))
)
grid.render()