예제 #1
0
def order7_total_chart():
    # 最近七天订单确认成交金额
    bar = Bar()
    bar.add_xaxis(list(d7_order_finish_total_dict.keys()))
    bar.add_yaxis("金额",
                  list(d7_order_finish_total_dict.values()),
                  itemstyle_opts=opts.ItemStyleOpts(color='orange'))
    bar.set_global_opts(title_opts=opts.TitleOpts(title="最近七天订单确认成交金额"))
    return bar.dump_options_with_quotes()
예제 #2
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파일: views.py 프로젝트: joestarhu/jhutool
def workhour_get():
    p = WorkhourInfo()
    # 获取最近的12月
    df = p.df.dropna()[-12:]

    xdata = df['月份'].tolist()
    # fig = Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
    fig = Bar()

    fig.add_xaxis(xdata)
    fig.add_yaxis('总投入',
                  df['实际投入工时'].tolist(),
                  label_opts=opts.LabelOpts(position='inside'))
    for v in df.columns[6:]:
        fig.add_yaxis(v,
                      df[v].tolist(),
                      stack='detail',
                      is_selected=False,
                      label_opts=opts.LabelOpts(is_show=False))

    fig.set_global_opts(
        title_opts=opts.TitleOpts(title="最近12月工时投入"),
        tooltip_opts=opts.TooltipOpts(is_show=True,
                                      trigger="axis",
                                      axis_pointer_type="shadow"),
        yaxis_opts=opts.AxisOpts(name='工时'),
    )

    #"""
    df['投入总工时比率'] = (df['投入总工时比率'] * 100).round(0)
    maxratio = df['投入总工时比率'].max()
    maxratio = 100 if maxratio <= 100 else maxratio
    ratio = df['投入总工时比率'].tolist()

    line = Line()
    line.add_xaxis(xdata)
    line.add_yaxis('投入工时率', ratio, yaxis_index=1)

    fig.extend_axis(yaxis=opts.AxisOpts(name="投入工时率",
                                        type_="value",
                                        min_=0,
                                        max_=maxratio,
                                        axislabel_opts=opts.LabelOpts(
                                            formatter="{value} %")))
    fig.overlap(line)
    #"""
    return fig.dump_options_with_quotes()
예제 #3
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def bar_chart():
    # 柱状图

    bar = Bar()
    x_y_axis = get_chart_data()
    bar.add_xaxis(x_y_axis[0])
    for j in x_y_axis[1]:
        for key, value in j.items():
            bar.add_yaxis(key, value, label_opts=opts.LabelOpts(is_show=False))
    bar.set_series_opts(markpoint_opts=opts.MarkPointOpts(data=[
        opts.MarkPointItem(type_="max", name="最大值"),
        opts.MarkPointItem(type_="min", name="最小值"),
    ]), )
    bar.set_global_opts(
        title_opts=opts.TitleOpts(
            title="API耗时统计",
            subtitle="生产环境",
            pos_left="30%",
            title_textstyle_opts=opts.TextStyleOpts(color='red'),
            subtitle_textstyle_opts=opts.TextStyleOpts(color='blue')),
        xaxis_opts=opts.AxisOpts(
            name="运行时间",
            type_="category",
            boundary_gap=True,
            # axislabel_opts=opts.LabelOpts(rotate=15)
        ),
        yaxis_opts=opts.AxisOpts(name="实际的响应时间(单位:秒)",
                                 # min_=0,
                                 # max_=20
                                 ),
        legend_opts=opts.LegendOpts(type_='scroll',
                                    selected_mode='multiple',
                                    pos_left='right',
                                    pos_top='10%',
                                    orient='vertical'),
        tooltip_opts=opts.TooltipOpts(trigger="axis",
                                      axis_pointer_type="line"),
        toolbox_opts=opts.ToolboxOpts(is_show=True, pos_left='right'),
        visualmap_opts=opts.VisualMapOpts(is_show=True,
                                          type_="size",
                                          min_=0,
                                          max_=20,
                                          range_text=["最大值", "最小值"]),
        datazoom_opts=[opts.DataZoomOpts(range_start=50, range_end=100)],
    )
    bar = bar.dump_options_with_quotes()
    return bar