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

from pyecharts import Bar, 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,heightgrid.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

from pyecharts import Line, Bar, Overlap''' 多个x y轴示例'''attr = ["{}月".format(i) for i in range(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 x y 轴，并且 x y 轴的索引都为 0overlap.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

from pyecharts import *page = Page() # 实例化page类# lineattr = ['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# pieattr = ["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# klinev1 = [[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) for i in range(31)], v1)page.add(kline) # TODO 向page中添加图表# radarschema = [ ("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

from pyecharts import Bar, Line, Timeline, Overlapfrom random import randintattr = ["{}月".format(i) for i in range(1, 7)]bar = Bar("1 月份数据", "数据纯属虚构")bar.add("bar", attr, [randint(10, 50) for _ in range(6)])line = Line()line.add("line", attr, [randint(50, 80) for _ in range(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 _ in range(6)])line_1 = Line()line_1.add("line", attr, [randint(50, 80) for _ in range(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 _ in range(6)])line_2 = Line()line_2.add("line", attr, [randint(50, 80) for _ in range(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 _ in range(6)])line_3 = Line()line_3.add("line", attr, [randint(50, 80) for _ in range(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 _ in range(6)])line_4 = Line()line_4.add("line", attr, [randint(50, 80) for _ in range(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")

以上这篇python pyecharts 实现一个文件绘制多张图就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。