基于Python pyecharts实现多种图例代码解析
词云图
frompyecharts.chartsimportWordCloud
defword1():
words=[
("SamSClub",10000),
("Macys",6181),
("AmySchumer",4386),
("JurassicWorld",4055),
("CharterCommunications",2467),
("ChickFilA",2244),
("PlanetFitness",1868),
("PitchPerfect",1484),
("Express",1112),
("Home",865),
("JohnnyDepp",847),
("LenaDunham",582),
("LewisHamilton",555),
("KXAN",550),
("MaryEllenMark",462),
("FarrahAbraham",366),
("RitaOra",360),
("SerenaWilliams",282),
("NCAAbaseballtournament",273),
("PointBreak",265),
]
worldcloud=(
WordCloud()
.add("",words,word_size_range=[20,100])
.set_global_opts(title_opts=opt.TitleOpts(title="WorldCloud-shape-diamond"))
)
#worldcloud=(
#WordCloud()
#.add("",words,word_size_range=[20,100],shape=SymbolType.DIAMOND)
#.set_global_opts(title_opts=opt.TitleOpts(title="WorldCloud-shape-diamond"))
#)
worldcloud.render("wordl.html")
os.system("wordl.html")
效果如下:
散点图
frompyecharts.chartsimportScatter
importnumpyasnp
defsca():
x_data=np.linspace(0,10,30)
y1_data=np.sin(x_data)
y2_data=np.cos(x_data)
#绘制散点图
#设置图表大小
figsise=opt.InitOpts(width="800px",height="600px")
scatter=Scatter(init_opts=figsise)
#添加数据
scatter.add_xaxis(xaxis_data=x_data)
scatter.add_yaxis(series_name="sin(x)散点图",#名称
y_axis=y1_data,#数据
label_opts=opt.LabelOpts(is_show=False),#数据不显示
symbol_size=15,#设置散点的大小
symbol="triangle"#设置散点的形状
)
scatter.add_yaxis(series_name="cos(x)散点图",y_axis=y2_data,label_opts=opt.LabelOpts(is_show=False))
scatter.render()
os.system("render.html")
效果如下:
饼状图
frompyecharts.chartsimportPie
frompyechartsimportoptionsasoptfrompyecharts.fakerimportFakerasfa
defpie1():
pie=(
Pie()
.add("",[list(z)forzinzip(fa.choose(),fa.values())])
.set_global_opts(title_opts=opt.TitleOpts(title="pie-基本示例"))
.set_series_opts(label_opts=opt.LabelOpts(formatter="{b}:{c}"))
)
pie.render()
os.system("render.html")
defpie2():
pie=(
Pie()
.add("",[list(z)forzinzip(fa.choose(),fa.values())],radius=["40%","75%"])
.set_global_opts(title_opts=opt.TitleOpts(title="pie-示例"),
legend_opts=opt.LegendOpts(
orient="vertical",pos_top="15%",pos_left="2%"
))
.set_series_opts(label_opts=opt.LabelOpts(formatter="{b}:{c}"))
)
pie.render()
os.system("render.html")
defpie3():
pie=(
Pie()
.add("",[list(z)forzinzip(fa.choose(),fa.values())],
radius=["40%","75%"],
center=["25%","50%"],
rosetype="radius",
label_opts=opt.LabelOpts(is_show=False))
.add("",[list(z)forzinzip(fa.choose(),fa.values())],
radius=["30%","75%"],
center=["75%","50%"],
rosetype="area")
.set_global_opts(title_opts=opt.TitleOpts(title="pie-玫瑰图示例"))
)
pie.render()
os.system("render.html")
defpie4():
#多饼图显示
pie=(
Pie()
.add(
"",
[list(z)forzinzip(["剧情","其他"],[25,75])],
center=["20%","30%"],
radius=[40,60]
)
.add(
"",
[list(z)forzinzip(["奇幻","其他"],[24,76])],
center=["55%",'30%'],
radius=[40,60]
)
.add(
"",
[list(z)forzinzip(["爱情","其他"],[14,86])],
center=["20%","70%"],
radius=[40,60]
)
.add(
"",
[list(z)forzinzip(["惊骇","其他"],[1,89])],
center=["55%","70%"],
radius=[40,60]
)
.set_global_opts(
title_opts=opt.TitleOpts(title="pie-多饼图基本示例"),
legend_opts=opt.LegendOpts(
type_="scroll",pos_top="20%",pos_left="80%",orient="vertical"
)
)
.set_series_opts(label_opts=opt.LabelOpts(formatter="{b}:{c}"))
)
pie.render()
os.system("render.html")
直方图
frompyecharts.chartsimportBar
frompyechartsimportoptionsasopt
frompyecharts.globalsimportThemeType
frompyecharts.fakerimportFakerasfa
importrandom
defpye1():
#生成随机数据
attr=fa.days_attrs
v1=[random.randrange(10,150)for_inrange(31)]
v2=[random.randrange(10,150)for_inrange(31)]
#初始化一个Bar对象，并设定一写初始化设置
bar=Bar(init_opts=opt.InitOpts(theme=ThemeType.WHITE))
#添加数据
bar.add_xaxis(attr)
#is_selected:打开图表时是否默认加载grap:不同系列的柱间距离，百分比；color:指定柱状图Label的颜色
bar.add_yaxis("test1",v1,gap="0",category_gap="20%",color=fa.rand_color())
bar.add_yaxis("test2",v2,is_selected=False,gap="0%",category_gap="20%",color=fa.rand_color())
#全局配置
#title_opts:图标标题相关设置
#toolbox_opts:工具栏相关设置
#yaxis_opts/xaxis_opts:坐标轴相关设置
#axislabel_opts:坐标轴签字相关设置
#axisline_opts:坐标轴轴线相关设置
#datazoom_opts:坐标轴轴线相关设置
#markpoint_opts:标记点相关设置
#markpoint_opts:label_opts=opts.LabelOpts(is_show=False)标签值是否叠加
#markline_opts：标记线相关设置
bar.set_global_opts(title_opts=opt.TitleOpts(title="主标题",subtitle="副标题"),
toolbox_opts=opt.ToolboxOpts(),
yaxis_opts=opt.AxisOpts(axislabel_opts=opt.LabelOpts(formatter="{value}/月"),name="这是y轴"),
xaxis_opts=opt.AxisOpts(
axisline_opts=opt.AxisLineOpts(linestyle_opts=opt.LineStyleOpts(color='blue')),name="这是x轴"),
datazoom_opts=opt.DataZoomOpts()
)
bar.set_series_opts(markpoint_opts=opt.MarkPointOpts(data=[opt.MarkPointItem(type_="max",name="最大值"),
opt.MarkPointItem(type_="min",name="最小值"),
opt.MarkPointItem(type_="average",name="平均值")]),
markline_opts=opt.MarkLineOpts(data=[opt.MarkLineItem(type_="min",name="最小值"),
opt.MarkLineItem(type_="max",name="最大值"),
opt.MarkLineItem(type_="average",name="平均值")]))
#指定生成html文件路径
bar.render('test.html')
os.system("test.html")
效果如下
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