Non-uniform label positioning in legend- contourf Python

Asked Oct 11 '18 at 18:21

Active Oct 11 '18 at 19:14

Viewed 94 times

I want to use a bigger scale to show my data!

When I use:

CS = plt.contourf(xi,yi,zi,vmin=6, vmax=9,cmap=plt.cm.jet)
norm= matplotlib.colors.Normalize(vmin=CS.cvalues.min(), vmax=CS.cvalues.max())

the legend generated looks fine. (image1) (I know its wrong depiction)

When I use:

CS = plt.contourf(xi,yi,zi,vmin=6, vmax=9,cmap=plt.cm.jet)
norm= matplotlib.colors.Normalize(vmin=vmin, vmax=vmax)

The ticks are too congested & only positioned where data is. (image2)

I want image2 with better looking legend. I have tried spacing = 'uniform' and spacing = 'proportional' but they dont work. Any suggestions please!

Rest of the code:

sm = plt.cm.ScalarMappable(norm=norm, cmap = CS.cmap)
sm.set_array([])
cbar = plt.colorbar(sm, ticks=CS.levels)
cbar.ax.tick_params(labelsize=14) 
plt.savefig("aaa.png")

edited Oct 11 '18 at 19:14

asked Oct 11 '18 at 18:21

Ritambhara Chauhan

1

What happens if you use `plt.colorbar(sm)` without setting the ticks at the positions where you don't want to have them? – ImportanceOfBeingErnest Oct 11 '18 at 20:15
It works! thanks a lot.. – Ritambhara Chauhan Oct 12 '18 at 15:28

Non-uniform label positioning in legend- contourf Python

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