How to decrease colorbar WIDTH in matplotlib?

Question

I have a plot I made in ipython notebook using two imported datasets & an array I made for the x-axis, but the colorbar is a bit thick for my liking. Is there any way to make it slimmer?

#import packages
import numpy as np              #for importing u array
import matplotlib.pyplot as plt #for plotting
%matplotlib inline

th = np.loadtxt("MT3_th.dat") #imports data file- theta pert.
pi = np.loadtxt("MT3_pi.dat") #imports data file- pressure pert.
k  = np.loadtxt("MT3_z.dat")  #imports data file- height
i = np.linspace(-16.,16.,81)  #x-axis array
x, z = np.meshgrid(i, k)

th[th == 0.0] = np.nan #makes zero values for th white
clevels = [0.5, 1, 1.5, 2, 2.5, 3.]

fig = plt.figure(figsize=(12,12))
thplot = plt.contourf(x, z, th, clevels, cmap=plt.cm.Reds, vmin=0., vmax=3.)

ax2 = fig.add_subplot(111)
piplot = ax2.contour(x, z, pi, 6, colors='k')

plt.axis([-16.,16, 0, 16.])
plt.xticks(np.arange(-16,16.001,4))
plt.yticks(np.arange(0,16.001,2))
plt.colorbar(pad=0.05, orientation="horizontal")
plt.xlabel("x (km)", size=15)
plt.ylabel("z (km)", size=15)
plt.title("Initial temp. & pres. perturbations (K, Pa)", size=20)
plt.grid()
plt.show()

Answer 1

Looking for the same answer I think I found something easier to work with compatible with the current version of Matplotlib to decrease the width of the colorbar. One can use the "ratio" option of the matplolib.figure function (see http://matplotlib.org/api/figure_api.html). And here is an example :

import numpy as np
from matplotlib import pyplot as plt


# generate data 

x = np.random.normal(0.5, 0.1, 1000)
y = np.random.normal(0.1, 0.5, 1000)


hist = plt.hist2d(x,y, bins=100)

plt.colorbar(aspect=20)
plt.colorbar(aspect=50)