Exemple de comment sauvegarder uniquement l'échelle de couleur d'une figure avec matplotlib (d'apres Andras Deak: Save colorbar for scatter plot separately)
import matplotlib.pyplot as pltimport numpy as npdef f(x,y):return (x+y)*np.exp(-5.0*(x**2+y**2))X,Y = np.mgrid[-1:1:100j, -1:1:100j]Z = f(X,Y)plt.figure()mpb = plt.pcolormesh(X,Y,Z,cmap='viridis')plt.title('How to save the colorbar separartly in matplotlib ?',fontsize=10)# plot the original without a colorbarplt.savefig('plot_nocbar.png')
# plot a colorbar into the original to see distortionplt.colorbar()plt.savefig('plot_withcbar.png')
# draw a new figure and replot the colorbar therefig,ax = plt.subplots()plt.colorbar(mpb,ax=ax)ax.remove()plt.savefig('plot_onlycbar.png')
# save the same figure with some approximate autocroppingplt.savefig('plot_onlycbar_tight.png',bbox_inches='tight')
Références
| Liens | Site |
|---|---|
| Save colorbar for scatter plot separately | stackoverflow |
| Axes.remove() | matplotlib.org |
| matplotlib.pyplot.colorbar | matplotlib.org |
| matplotlib.pyplot.savefig | matplotlib.org |




