コード例 #1
0
                                        color='black',
                                        linestyle='--')  # SLA violation定为250ms
    plot_response, = axis_response.plot(ansresponseList[botton],
                                        label='response time',
                                        color='#CC3333')
    plot_container, = axis_container.plot(anssupplypodList[botton],
                                          label='container',
                                          color='green')
    plot_throughput, = axis_throughput.plot(ansthroughputList[botton],
                                            label='throughput',
                                            color='orange')
    #通过范围限制调整数据在图中的位置(一个是调整上界,可以抬升;一个是调整占比比例,可以让其出现在想出现的区域)
    axis_cpu.set_ylim(0, 100)
    axis_response.set_ylim(-400, 400)
    axis_container.set_ylim(0, 40)
    axis_response.set_yticks([0, 100, 200, 300, 400, 500, 600])

    #右侧轴线颜色与格式设置
    axis_cpu.axis['right2'].set_axisline_style('-|>', size=1.5)  #设置轴线样式
    axis_cpu.axis['right2'].line.set_color(plot_cpu.get_color())  #轴线上色
    axis_cpu.axis['right2'].major_ticklabels.set_color(
        plot_cpu.get_color())  #刻度值上色
    axis_cpu.axis['right2'].label.set_color(plot_cpu.get_color())

    axis_response.axis['right3'].set_axisline_style('-|>', size=1.5)  #设置轴线样式
    axis_response.axis['right3'].line.set_color(
        plot_response.get_color())  #轴线上色
    axis_response.axis['right3'].major_ticklabels.set_color(
        plot_response.get_color())  #刻度值上色
    axis_response.axis['right3'].label.set_color(plot_response.get_color())
コード例 #2
0
                line_torque_multi_gear = ax_torque_multi_gear.plot(
                    time[order],
                    torque_multi_gear,
                    linestyle=line_style[vehicle_number[order]],
                    color=line_color[temperature_target[order]])

        gear_max = max(gear_max, max(gear[order]))
        power_max = max(power_max, max(power))
        lines_set = lines_set + line_power

    legend_set = [line.get_label() for line in lines_set]
    ax_power.legend(lines_set, legend_set, loc='upper left')
    ax_power.set_xlabel('Time(s)')
    ax_power.set_ylabel('Power(kw)')
    ax_power.set_ylim(-20, 2 * power_max)
    ax_power.set_yticks([i * 20 for i in range(0, int(power_max / 20 + 1))])
    ax_gear.set_ylabel('Gear/Gear ratio')
    ax_gear.set_ylim(-gear_max, gear_max + 1)
    ax_gear.set_yticks([i for i in range(0, int(gear_max) + 1)])
    if gear_max > 10:  # if it is gear ratio, plot torque*gear
        ax_torque_multi_gear.set_ylabel('Torque*gear ratio(Nm)')
        ax_torque_multi_gear.set_ylim(-torque_mutil_gear_max - 50,
                                      torque_mutil_gear_max)
        ax_torque_multi_gear.set_yticks(
            [i * 500 for i in range(0,
                                    int(torque_mutil_gear_max / 500) + 2)])
        ax_gear.set_ylim(0, 2 * gear_max)
        ax_power.legend(lines_set, legend_set, loc='upper right')
    plt.savefig(fig2_name + '.png', transparent=True)
    # plt.show()