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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