stims99

Ugly piece of code but this does bingham stats: def eigvector(w, v, list): esort = np.argsort(w) for c in esort: t = round(np.degrees(math.atan(v[0,c]/v[1,c]) + math.pi if v[1,c] < 0 else...

For anyone else with this issue you can plot the polar plot using matplotlib inputs: ax.grid(kind = 'polar', alpha = 0.5) ax.set_longitude_grid_ends(80) plt.xticks(np.arange(-2*np.pi,2*np.pi,np.pi/18)) plt.yticks(np.arange(0,100*np.pi/180,10*np.pi/180)) ax._polar.set_position(ax.get_position())