matplotlib - python pyplot.quiver: Scaling of two superimposed vector fields -

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i want plot 2 vector fields in 1 quiver plot. working: each point, there 2 vectors in different colors. problem is, scaling not same: e.g. vector (1,0) first field (sol) displayed length (1,0) field 2 (res).

how can make quiver plot both fields same scale, (1,0) res has same physical length on plot (1,0) sol?

my code:

import numpy np matplotlib import pyplot plt  #res , sol 2 vector fields dimension (ny, nx ,2)  step=3 #not vectors should plotted. every third 1 (in x , y direction)  x,y = np.meshgrid(np.arange(0,nx,step), np.arange(0,ny,step))             q=plt.quiver(x,y,sol[::step,::step,0], sol[::step,::step,1], color='r')     w=plt.quiver(x,y,res[::step,::step,0], res[::step,::step,1], color='b') plt.quiverkey(q, 0.4, 0.15, 1, r'text1', labelpos='s') plt.quiverkey(w, 0.6, 0.15, 1, r'text2', labelpos='s') plt.show()

you have 2 solutions:

  1. normalize input data , scale it
  2. tell quiver how scale data

solution 2 (fastest):

q=plt.quiver(x,y,sol[::step,::step,0], sol[::step,::step,1], color='r', scale=1) w=plt.quiver(x,y,res[::step,::step,0], res[::step,::step,1], color='b', scale=1)

you may adjust scale value, have keep same values in both quivers in order expect. this thread helped in case think it's not overspecification give same scale each quiver.


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