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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?

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