Because they are drawn inside the plot area, axis ticks are obscured by the data in many matplotlib plots. A better approach is to draw the ticks extending from the axes outward, as is the default in ggplot, R's plotting system.
In theory, this can be done by redrawing the tick lines with the TICKDOWN and TICKLEFT line-styles for the x-axis and y-axis ticks respectively:
import matplotlib.pyplot as plt
import matplotlib.ticker as mplticker
import matplotlib.lines as mpllines
# Create everything, plot some data stored in `x` and `y`
fig = plt.figure()
ax = fig.gca()
plt.plot(x, y)
# Set position and labels of major and minor ticks on the y-axis
# Ignore the details: the point is that there are both major and minor ticks
ax.yaxis.set_major_locator(mplticker.MultipleLocator(1.0))
ax.yaxis.set_minor_locator(mplticker.MultipleLocator(0.5))
ax.xaxis.set_major_locator(mplticker.MultipleLocator(1.0))
ax.xaxis.set_minor_locator(mplticker.MultipleLocator(0.5))
# Try to set the tick markers to extend outward from the axes, R-style
for line in ax.get_xticklines():
line.set_marker(mpllines.TICKDOWN)
for line in ax.get_yticklines():
line.set_marker(mpllines.TICKLEFT)
# In real life, we would now move the tick labels farther from the axes so our
# outward-facing ticks don't cover them up
plt.show()
But in practice, that's only half the solution because the get_xticklines and get_yticklines methods return only the major tick lines. The minor ticks remain pointing inward.
What's the work-around for the minor ticks?