我想绘制一个类似于以下示例的形状（来自海军研究实验室TC页面）。形状由4个半径定义，每个象限一个。

我在纬度和经度坐标中有多个跟踪中心，我使用底图进行了绘制：

def m_plot_wind_speeds(x,y,mps):

    # There's a switch-like statement here to determine the color of the
    # line based on wind speed which I ignored. This is passed to the 
    # color kwarg in m.plot as cur_color. 

    m.plot(x,'.-',markersize=ms,linewidth=lw,color=cur_color,\
 mew=1.5,markerfacecolor='k')

m = Basemap(projection='cyl',area_thresh=1000,\
    llcrnrlat=southLat,urcrnrlat=northLat,llcrnrlon=westLong,urcrnrlon=eastLong,resolution='h')
parallels = np.arange(southLat,northLat+10,10.) # make latitude lines ever 5 degrees from 30N-50N
meridians = np.arange(westLong,eastLong+30,30.) # make longitude lines every 5 degrees from 95W to 70W

m.drawparallels(parallels,labels=[1,0],labelstyle="+/-",linewidth=0,fontsize=6)
m.drawmeridians(meridians,labels=[0,1],fontsize=6)
m.drawcountries(linewidth=0.25)

m.bluemarble()

# data is a [10]x[~]x[10] list. There are 10 trajectories,each with
# varying lengths. Each trajectory has 10 attributes.

for traj in data:
    lat = []
    lon = []
    wind_speed=[]

    for i in traj:
        lat.append(float(i[1]))
        lon.append(float(i[0]))
        wind_speed.append(float(i[2]))

   for j,var in enumerate(traj):
        if j > 0:
            x,y = m([lon[j],lon[j-1]],[lat[j],lat[j-1]])
        else:
            x,lon[j]],lat[j]])
        m_plot_wind_speeds(x,wind_speed[j])


        # TODO: Insert a function here that takes in a 4 radii and plots them 
        # in each quadrant.