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import random
% matplotlib inline
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from mpl_toolkits.mplot3d import Axes3D

mpl.rcParams['font.size'] = 10
fig = plt.figure(figsize=(12, 14))  
ax = fig.add_subplot(111, projection='3d')

for z in [2011, 2012, 2013, 2014]:
    xs = xrange(1,13)
    ys = 1000 * np.random.rand(12)
    color = plt.cm.Set2(random.choice(xrange(plt.cm.Set2.N)))
    ax.bar(xs, ys, zs=z, zdir='y', color=color, alpha=0.8)

ax.xaxis.set_major_locator(mpl.ticker.FixedLocator(xs))
ax.yaxis.set_major_locator(mpl.ticker.FixedLocator(ys))
ax.set_xlabel('Month')
ax.set_ylabel('Year')
ax.set_zlabel('Sales Net [usd]')

plt.show()


    

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