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As mentionedin this SE question a scatter plot is not autoscaling to include all of the data ifplt.yscale('log') is used afterplt.scatter(). This happens for the y-axis but not the x-axis in the example, and does not happen forplt.plot().
In anearlier answer by a developer,ax.set_yscale('log') is shown followingax.scatter(), so I am wondering if this may be a bug.
Using matplotlib version 1.5.1 and python 2.7.11
import matplotlib.pyplot as pltX = [0.997, 2.643, 0.354, 0.075, 1.0, 0.03, 2.39, 0.364, 0.221, 0.437]Y = [15.487507, 2.320735, 0.085742, 0.303032, 1.0, 0.025435, 4.436435, 0.025435, 0.000503, 2.320735]plt.figure()plt.subplot(2,2,1)plt.scatter(X, Y)plt.xscale('log')plt.yscale('log')plt.title('scatter - scale last') plt.subplot(2,2,2)plt.plot(X, Y)plt.xscale('log')plt.yscale('log')plt.title('plot - scale last') plt.subplot(2,2,3)plt.xscale('log')plt.yscale('log')plt.scatter(X, Y)plt.title('scatter - scale first') plt.subplot(2,2,4)plt.xscale('log')plt.yscale('log')plt.plot(X, Y)plt.title('plot - scale first') plt.show()