python pyecharts 实现一个文件绘制多张图
Grid并行显示多张图
注意：第一个图需为有x/y轴的图，即不能为Pie，其他位置顺序任意
frompyechartsimportBar,Line,Scatter,EffectScatter,Grid
'''
Grid类：并行显示多个图表TODO第一个图需为有x/y轴的图，即不能为Pie，其他位置顺序任意。
'''
attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
v1=[5,20,36,10,75,90]
v2=[10,25,8,60,20,80]
bar=Bar("柱状图示例",title_pos="65%")
bar.add("商家A",attr,v1,is_stack=True)
bar.add("商家B",attr,v2,is_stack=True,legend_pos="80%")
line=Line("折线图示例")
attr=["周一","周二","周三","周四","周五","周六","周日"]
line.add(
"最高气温",
attr,
[11,11,15,13,12,13,10],
mark_point=["max","min"],
mark_line=["average"],
)
line.add(
"最低气温",
attr,
[1,-2,2,5,3,2,0],
mark_point=["max","min"],
mark_line=["average"],
legend_pos="20%",
)
v1=[5,20,36,10,75,90]
v2=[10,25,8,60,20,80]
scatter=Scatter("散点图示例",title_top="50%",title_pos="65%")
scatter.add("scatter",v1,v2,legend_top="50%",legend_pos="80%")
es=EffectScatter("动态散点图示例",title_top="50%")
es.add(
"es",
[11,11,15,13,12,13,10],
[1,-2,2,5,3,2,0],
effect_scale=6,
legend_top="50%",
legend_pos="20%",
)
#TODO配置Grid类
grid=Grid(height=720,width=1200)#初始化，参数可传page_title,width,height
grid.add(bar,grid_bottom="60%",grid_left="60%")#添加要展示的图表，并设置显示位置
grid.add(line,grid_bottom="60%",grid_right="60%")#添加要展示的图表，并设置显示位置
grid.add(scatter,grid_top="60%",grid_left="60%")#添加要展示的图表，并设置显示位置
grid.add(es,grid_top="60%",grid_right="60%")#添加要展示的图表，并设置显示位置
grid.render("./pyecharts_html/Grid_并行显示多张图表.html")
overlap图表混合使用
frompyechartsimportLine,Bar,Overlap
'''
多个xy轴示例
'''
attr=["{}月".format(i)foriinrange(1,13)]
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]
v3=[2.0,2.2,3.3,4.5,6.3,10.2,20.3,23.4,23.0,16.5,12.0,6.2]
bar=Bar()
bar.add("蒸发量",attr,v1)
bar.add("降水量",attr,v2,yaxis_formatter="ml",
yaxis_interval=50,yaxis_max=250)
line=Line()
line.add("平均温度",attr,v3,yaxis_formatter="°C",yaxis_interval=5)
overlap=Overlap(width=1200,height=600)#实例化
#默认不新增xy轴，并且xy轴的索引都为0
overlap.add(bar)
#新增一个y轴，此时y轴的数量为2，第二个y轴的索引为1（索引从0开始），所以设置yaxis_index=1
#由于使用的是同一个x轴，所以x轴部分不用做出改变
overlap.add(line,yaxis_index=1,is_add_yaxis=True)
overlap.render("./pyecharts_html/Overlap_图表混合.html")
Page一个页面顺序渲染多个图表
frompyechartsimport*
page=Page()#实例化page类
#line
attr=['周一','周二','周三','周四','周五','周六','周日']
line=Line("折线图示例")
line.add("最高气温",attr,[11,11,15,13,12,13,10],
mark_point=["max","min"],mark_line=["average"])
line.add("最低气温",attr,[1,-2,2,5,3,2,0],
mark_point=["max","min"],mark_line=["average"])
page.add(line)#TODO向page中添加图表
#pie
attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
v1=[11,12,13,10,10,10]
pie=Pie("饼图-圆环图示例",title_pos='center')
pie.add("",attr,v1,radius=[40,75],label_text_color=None,
is_label_show=True,legend_orient='vertical',legend_pos='left')
page.add(pie)#TODO向page中添加图表
#kline
v1=[[2320.26,2320.26,2287.3,2362.94],
[2300,2291.3,2288.26,2308.38],
[2295.35,2346.5,2295.35,2345.92],
[2347.22,2358.98,2337.35,2363.8],
[2360.75,2382.48,2347.89,2383.76],
[2383.43,2385.42,2371.23,2391.82],
[2377.41,2419.02,2369.57,2421.15],
[2425.92,2428.15,2417.58,2440.38],
[2411,2433.13,2403.3,2437.42],
[2432.68,2334.48,2427.7,2441.73],
[2430.69,2418.53,2394.22,2433.89],
[2416.62,2432.4,2414.4,2443.03],
[2441.91,2421.56,2418.43,2444.8],
[2420.26,2382.91,2373.53,2427.07],
[2383.49,2397.18,2370.61,2397.94],
[2378.82,2325.95,2309.17,2378.82],
[2322.94,2314.16,2308.76,2330.88],
[2320.62,2325.82,2315.01,2338.78],
[2313.74,2293.34,2289.89,2340.71],
[2297.77,2313.22,2292.03,2324.63],
[2322.32,2365.59,2308.92,2366.16],
[2364.54,2359.51,2330.86,2369.65],
[2332.08,2273.4,2259.25,2333.54],
[2274.81,2326.31,2270.1,2328.14],
[2333.61,2347.18,2321.6,2351.44],
[2340.44,2324.29,2304.27,2352.02],
[2326.42,2318.61,2314.59,2333.67],
[2314.68,2310.59,2296.58,2320.96],
[2309.16,2286.6,2264.83,2333.29],
[2282.17,2263.97,2253.25,2286.33],
[2255.77,2270.28,2253.31,2276.22]]
kline=Kline("K线图示例")
kline.add("日K",["2017/7/{}".format(i+1)foriinrange(31)],v1)
page.add(kline)#TODO向page中添加图表
#radar
schema=[
("销售",6500),("管理",16000),("信息技术",30000),
("客服",38000),("研发",52000),("市场",25000)
]
v1=[[4300,10000,28000,35000,50000,19000]]
v2=[[5000,14000,28000,31000,42000,21000]]
radar=Radar("雷达图示例")
radar.config(schema)
radar.add("预算分配",v1,is_splitline=True,is_axisline_show=True)
radar.add("实际开销",v2,label_color=["#4e79a7"],is_area_show=False,
legend_selectedmode='single')
page.add(radar)#TODO向page中添加图表
page.render("./pyecharts_html/Page_一个页面渲染多张图表.html")
Timeline:时间线轮播多图
frompyechartsimportBar,Line,Timeline,Overlap
fromrandomimportrandint
attr=["{}月".format(i)foriinrange(1,7)]
bar=Bar("1月份数据","数据纯属虚构")
bar.add("bar",attr,[randint(10,50)for_inrange(6)])
line=Line()
line.add("line",attr,[randint(50,80)for_inrange(6)])
overlap=Overlap()
overlap.add(bar)
overlap.add(line)
bar_1=Bar("2月份数据","数据纯属虚构")
bar_1.add("bar",attr,[randint(10,50)for_inrange(6)])
line_1=Line()
line_1.add("line",attr,[randint(50,80)for_inrange(6)])
overlap_1=Overlap()
overlap_1.add(bar_1)
overlap_1.add(line_1)
bar_2=Bar("3月份数据","数据纯属虚构")
bar_2.add("bar",attr,[randint(10,50)for_inrange(6)])
line_2=Line()
line_2.add("line",attr,[randint(50,80)for_inrange(6)])
overlap_2=Overlap()
overlap_2.add(bar_2)
overlap_2.add(line_2)
bar_3=Bar("4月份数据","数据纯属虚构")
bar_3.add("bar",attr,[randint(10,50)for_inrange(6)])
line_3=Line()
line_3.add("line",attr,[randint(50,80)for_inrange(6)])
overlap_3=Overlap()
overlap_3.add(bar_3)
overlap_3.add(line_3)
bar_4=Bar("5月份数据","数据纯属虚构")
bar_4.add("bar",attr,[randint(10,50)for_inrange(6)])
line_4=Line()
line_4.add("line",attr,[randint(50,80)for_inrange(6)])
overlap_4=Overlap()
overlap_4.add(bar_4)
overlap_4.add(line_4)
timeline=Timeline(
page_title="页标签名",
width=600,
height=600,
is_auto_play=True,#是否自动播放，默认=False
is_loop_play=True,#是否循环播放
is_rewind_play=False,#反向播放
is_timeline_show=True,#是否显示时间线，默认=true
timeline_play_interval=1000,#播放间隔，ms
timeline_symbol="arrow",#时间点标记图形，'circle','rect','roundRect','triangle','diamond','pin','arrow'
timeline_symbol_size=[15,8],#图形大小，可以是数字和列表，列表表示宽高
timeline_left="1%",#距离左边距离,timeline_right
timeline_bottom=0,#timeline_top
)
timeline.add(overlap,'1月')
timeline.add(overlap_1,'2月')
timeline.add(overlap_2,'3月')
timeline.add(overlap_3,'4月')
timeline.add(overlap_4,'5月')
timeline.render("./pyecharts_html/Timeline_时间线轮播多张图表.html")
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