importmatplotlib.pyplotaspltimportnumpyasnpx=np.linspace(-5,5,5)X,Y=np.meshgrid(x,x)U,V=12*X,12*Ydata=[(-1.5,.5,-6,-6),(1,-1,-46,46),(-3,-1,11,-11),(1,1.5,80,80),(0.5,0.25,25,15),(-1.5,-0.5,-5,40)]data=np.array(data,dtype=[('x',np.float32),('y',np.float32),('u',np.float32),('v',np.float32)])fig1,axs1=plt.subplots(nrows=2,ncols=2)# Default parameters, uniform gridaxs1[0,0].barbs(X,Y,U,V)# Arbitrary set of vectors, make them longer and change the pivot point# (point around which they're rotated) to be the middleaxs1[0,1].barbs(data['x'],data['y'],data['u'],data['v'],length=8,pivot='middle')# Showing colormapping with uniform grid.  Fill the circle for an empty barb,# don't round the values, and change some of the size parametersaxs1[1,0].barbs(X,Y,U,V,np.sqrt(U**2+V**2),fill_empty=True,rounding=False,sizes=dict(emptybarb=0.25,spacing=0.2,height=0.3))# Change colors as well as the increments for parts of the barbsaxs1[1,1].barbs(data['x'],data['y'],data['u'],data['v'],flagcolor='r',barbcolor=['b','g'],flip_barb=True,barb_increments=dict(half=10,full=20,flag=100))# Masked arrays are also supportedmasked_u=np.ma.masked_array(data['u'])masked_u[4]=1000# Bad value that should not be plotted when maskedmasked_u[4]=np.ma.masked

fig2,ax2=plt.subplots()ax2.barbs(data['x'],data['y'],masked_u,data['v'],length=8,pivot='middle')plt.show()

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