mpl 1.5.3 and 2.0, py3.6
_xs = np.linspace(-50, 50, 1001); plt.semilogy(scipy.stats.norm.pdf(_xs))
results in
where zero values (due to floating point resolution limits, at the edges) get ignored, as expected, but
_xs = np.linspace(-50, 50, 1001); plt.plot(scipy.stats.norm.pdf(_xs))
plt.gcf().canvas.draw()
plt.gca().set(yscale="log")
results in the incorrect
mpl 1.5.3 and 2.0, py3.6
results in
where zero values (due to floating point resolution limits, at the edges) get ignored, as expected, but
results in the incorrect
