zlwl-algos-new/USER/wangliming/task/offline_algo/utils/image.py

from pywebio.output import put_html
import pyecharts.options as opts
from pyecharts.charts import Line, Bar, Line


def plot_example():
    week_name_list = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
    high_temperature = [0.83, 0.92, 0.95, 0.87, 0.88, 0.92, 0.9]
    low_temperature = [0.43, 0.52, 0.55, 0.47, 0.48, 0.52, 0.5]
    c = (
        Line()
        .add_xaxis(xaxis_data=week_name_list)
        .add_yaxis(
            series_name="soc一致性",
            y_axis=high_temperature,
            markpoint_opts=opts.MarkPointOpts(
                data=[
                    opts.MarkPointItem(type_="max", name="最大值"),
                    opts.MarkPointItem(type_="min", name="最小值"),
                ]
            ),
            markline_opts=opts.MarkLineOpts(
                data=[opts.MarkLineItem(type_="average", name="平均值")]
            ),
        )
        .add_yaxis(
            series_name="soh一致性",
            y_axis=low_temperature,
            markpoint_opts=opts.MarkPointOpts(
                data=[opts.MarkPointItem(value=-2, name="周最低", x=1, y=-1.5)]
            ),
            # markline_opts=opts.MarkLineOpts(
            #     data=[
            #         opts.MarkLineItem(type_="average", name="平均值"),
            #         opts.MarkLineItem(symbol="none", x="90%", y="max"),
            #         opts.MarkLineItem(symbol="circle", type_="max", name="最高点"),
            #     ]
            # ),
        )
        .set_global_opts(
            title_opts=opts.TitleOpts(title="soc/soh致性变化", subtitle="虚构数据"),
            tooltip_opts=opts.TooltipOpts(trigger="axis"),
            toolbox_opts=opts.ToolboxOpts(is_show=True),
            xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
        )
        
    )
    c.width = "100%"
    return c

def plot_example2():


    colors = ["#5793f3", "#d14a61", "#675bba"]
    x_data = ["0~2h", "2~4h", "4~6h", "6~8h", "8~10h", "10~12h", "12~14h", "14~16h", "16~18h", "18~20h", "20~22h", "22~24h"]
    legend_list = ["充电开始时间段"]
    evaporation_capacity = [
        1,
        3,
        5,
        3,
        2,
        2,
        0,
        4,
        1,
        5,
        4,
        2,
    ]


    bar = (
        Bar(init_opts=opts.InitOpts(width="800", height="720px"))
        .add_xaxis(xaxis_data=x_data)
        .add_yaxis(
            series_name="充电开始时间段",
            y_axis=evaporation_capacity,
            yaxis_index=0,
            color=colors[1],
        )
    )
    return bar