Basically the same solution as provided by Rutger Kassies, but using a more pythonic syntax:
fig, axs = plt.subplots(2,5, figsize=(15, 6), facecolor='w', edgecolor='k')
fig.subplots_adjust(hspace = .5, wspace=.001)
data = np.arange(250, 260)
for ax, d in zip(axs.ravel(), data):
ax.contourf(np.random.rand(10,10), 5, cmap=plt.cm.Oranges)
ax.set_title(str(d))