Pytho之pyecharts库使用实例

1. Bar 和 Line

如果X和Y轴的数据都是int或float类型，图形会出错。

from pyecharts.charts.basic_charts import bar
from pyecharts.charts.basic_charts import line
from pyecharts import options as opts
from pyecharts.globals import SymbolType, ThemeType


if __name__ == '__main__':
    X = ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24"]
    data1 = ['0', '0', '0', '0', '0', '0', '0',  '3', '7', '18', '21', '20', '18', '8', '5', '5', '1','0', '0', '0', '0', '0', '0', '0' ]
    data2 = ['0', '0', '0', '0', '0', '0', '0', '16', '11', '7', '13', '10', '16', '11', '7', '13', '10','0', '0', '0', '0', '0', '0', '0' ]
   bar = (
        bar.Bar(
            init_opts=opts.InitOpts(
                animation_opts=opts.AnimationOpts(
                    animation_delay=500, animation_easing="elasticOut"  # 延时动画效果
                ),
                theme=ThemeType.LIGHT    # 主题选择 WHITE ,LIGHT...
            ),
        )
        .add_xaxis(
            X,
        )   # X轴数据
        .add_yaxis(
            "A",                # 系列名
            data1,              # 数据
            # gap='0%',         # 不同系列柱间距
            # category_gap=0,   # 相同系列柱间距   category_gap='80%'  百分数或者数值
            # stack='stack1',   # 相同stack名字的系列堆叠在一起
            # color='#003366',  # 柱子颜色
            itemstyle_opts=opts.ItemStyleOpts(opacity='0.5')    # 柱子的属性
        )
        .set_series_opts(     # 图标内的属性设置
            label_opts=opts.LabelOpts(is_show=False),  # 是否显示具体的数据值
            # markpoint_opts=opts.MarkPointOpts(
            #     data=[
            #         opts.MarkPointItem(type_='max', name='最大值'),
            #         opts.MarkPointItem(type_='min', name='最小值'),
            #         opts.MarkPointItem(type_='average', name='平均值'),
            #     ]
            # ),   # 显示出最大值，最小值，平均值，与X轴平行的刻度线
            markline_opts=opts.MarkLineOpts(
                data=[
                    opts.MarkLineItem(type_='LSL', name='LSL:4', x=4),    # 显示与Y轴平行的刻度线1
                    opts.MarkLineItem(type_='USL', name='USL:20', x=20),
                    opts.MarkLineItem(type_='+3sigma', name='+3s', x=18),
                    opts.MarkLineItem(type_='-3sigma', name='-3s', x=6),
                ],
                linestyle_opts=opts.LineStyleOpts(color="#364678", type_="dotted", width=2),  # 设置线的属性
                label_opts=opts.LabelOpts(position='end', formatter='{b}'),  # 设置线上文字的属性,formatter设置label的内容
            ),
        )
        .set_global_opts(     # 图表的坐标轴，title等属性设置
            title_opts=opts.TitleOpts(
                title="Bar-动画配置基本示例",
                # subtitle="我是副标题"
            ),
            yaxis_opts=opts.AxisOpts(
                # axislabel_opts=opts.LabelOpts(formatter='{value}/个'),  # 编辑Y轴的刻度线内容
                name='Qty',  # Y轴名字
                splitline_opts=opts.SplitLineOpts(is_show=True),  # 显示分割线
            ),  # 设置Y轴属性
            xaxis_opts=opts.AxisOpts(
                name='Value',   # X轴名字
                # splitline_opts=opts.SplitLineOpts(is_show=True),  # 显示分割线
            ),  # 设置X轴属性
            # brush_opts=opts.BrushOpts(),  # 圈选工具
            toolbox_opts=opts.ToolboxOpts(),  # 显示toolbox，toolbox中有下载图片的功能
            tooltip_opts=opts.TooltipOpts(formatter='Qty:{c}')  # 自定义鼠标悬停内容
        )
    )
    line = (
        line.Line()
        .add_xaxis(X)
        .add_yaxis(
            "A",
            data1,
            label_opts=opts.LabelOpts(is_show=False),
            is_smooth=True,
            linestyle_opts=opts.LineStyleOpts(width=3),
        )
    )
    bar.overlap(line)           # 将两个图表组合在一起
    bar.render("MyBar.html")    # 生产文件