コード例 #1
0
def create_report_drone1_mass_cost(data):
    matplotlib_settings()
    cs = CommonStats(data)
    
    r = Report() 
    figure_num_implementations2(r, data, cs, 'num_missions', 'endurance')
    figure_discrete_choices2(r, data, cs, 'num_missions', 'endurance')

    f = r.figure()
    with f.plot('total_cost', **fig) as pylab:
  
        ieee_spines_zoom3(pylab)
  
        x = cs.get_functionality('num_missions')
        y = cs.get_functionality('endurance')
        z = cs.get_min_resource('total_cost')
        plot_field(pylab, x, y, z, cmap=colormap)
        pylab.title('total_cost', color=color_resources,  y=1.08)
        

    with f.plot('total_mass', **fig) as pylab:
  
        ieee_spines_zoom3(pylab)
  
        x = cs.get_functionality('num_missions')
        y = cs.get_functionality('endurance')
        z = cs.get_min_resource('total_mass')
        plot_field(pylab, x, y, z, cmap=colormap)
        pylab.title('total_mass', color=color_resources,  y=1.08)
        
    return r
コード例 #2
0
ファイル: plot_batteries_choice.py プロジェクト: rusi/mcdp
def create_report_drone1_mass_cost(data):
    matplotlib_settings()
    cs = CommonStats(data)

    r = Report()
    figure_num_implementations2(r, data, cs, 'num_missions', 'endurance')
    figure_discrete_choices2(r, data, cs, 'num_missions', 'endurance')

    f = r.figure()
    with f.plot('total_cost', **fig) as pylab:

        ieee_spines_zoom3(pylab)

        x = cs.get_functionality('num_missions')
        y = cs.get_functionality('endurance')
        z = cs.get_min_resource('total_cost')
        plot_field(pylab, x, y, z, cmap=colormap)
        pylab.title('total_cost', color=color_resources,  y=1.08)


    with f.plot('total_mass', **fig) as pylab:

        ieee_spines_zoom3(pylab)

        x = cs.get_functionality('num_missions')
        y = cs.get_functionality('endurance')
        z = cs.get_min_resource('total_mass')
        plot_field(pylab, x, y, z, cmap=colormap)
        pylab.title('total_mass', color=color_resources,  y=1.08)

    return r
コード例 #3
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def create_report_min_joint(data):
    matplotlib_settings()

    cs = CommonStats(data)
    r = Report() 
    figure_num_implementations2(r, data, cs, 'missions', 'capacity')
    figure_discrete_choices2(r, data, cs, 'missions', 'capacity')
    return r
コード例 #4
0
ファイル: plot_batteries_choice.py プロジェクト: rusi/mcdp
def create_report_min_joint(data):
    matplotlib_settings()

    cs = CommonStats(data)
    r = Report()
    figure_num_implementations2(r, data, cs, 'missions', 'capacity')
    figure_discrete_choices2(r, data, cs, 'missions', 'capacity')
    return r
コード例 #5
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def create_report_drone1_cost(data):
    matplotlib_settings()

    cs = CommonStats(data)
    
    r = Report() 
    figure_num_implementations2(r, data, cs, 'num_missions', 'endurance')
    figure_discrete_choices2(r, data, cs, 'num_missions', 'endurance')

    return r
コード例 #6
0
ファイル: plot_batteries_choice.py プロジェクト: rusi/mcdp
def create_report_drone1_cost(data):
    matplotlib_settings()

    cs = CommonStats(data)

    r = Report()
    figure_num_implementations2(r, data, cs, 'num_missions', 'endurance')
    figure_discrete_choices2(r, data, cs, 'num_missions', 'endurance')

    return r
コード例 #7
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def create_report_min_mass(data):
    matplotlib_settings()

    cs = CommonStats(data)
    r = Report() 
    figure_num_implementations2(r, data, cs, 'missions', 'capacity')
    figure_discrete_choices2(r, data, cs, 'missions', 'capacity')
    
    f = r.figure()
    with f.plot('mass', **fig) as pylab:
  
        ieee_spines_zoom3(pylab)
  
        x = cs.get_functionality('missions')
        y = cs.get_functionality('capacity')
        z = cs.get_min_resource('mass')
        plot_field(pylab, x, y, z, cmap=colormap)
        pylab.title('mass', color=color_resources,  y=1.08)
        do_axes(pylab)
        
    return r
コード例 #8
0
ファイル: plot_batteries_choice.py プロジェクト: rusi/mcdp
def create_report_min_mass(data):
    matplotlib_settings()

    cs = CommonStats(data)
    r = Report()
    figure_num_implementations2(r, data, cs, 'missions', 'capacity')
    figure_discrete_choices2(r, data, cs, 'missions', 'capacity')

    f = r.figure()
    with f.plot('mass', **fig) as pylab:

        ieee_spines_zoom3(pylab)

        x = cs.get_functionality('missions')
        y = cs.get_functionality('capacity')
        z = cs.get_min_resource('mass')
        plot_field(pylab, x, y, z, cmap=colormap)
        pylab.title('mass', color=color_resources,  y=1.08)
        do_axes(pylab)

    return r