python pyecharts 实现一个文件绘制多张图
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2020-09-16
21:20:26
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python pyecharts 实现一个文件绘制多张图实现一个文件绘制多张图
主要介绍了python pyecharts 实现一个文件绘制多张图，具有很好的参考价值，希望对大家有所帮助。一起跟随
小编过来看看吧
Grid并行显示多张图并行显示多张图
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,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",
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