Ticks module

The ticks module adds a couple of functions to matplotlib.axes.Axes as shortcuts to the locators and formatters provided by matplotlib.ticker.

Here, their usage is demonstrated for the x-axis, but of course the equivalent functions for the y-axis exist as well. Simply replace xticks by yticks in the function name.

import numpy as np
import matplotlib.pyplot as plt
import plottools.ticks

fig, ax = plt.subplots()

Increments

ax.set_xticks_delta(0.5)

Custom format

ax.set_xticks_format('%04.1f')

SI unit prefixes

ax.set_xscale('log')
ax.set_xlim(1e-6, 1e0)
ax.set_xticks_prefix()

Fractions

ax.set_xlim(-1, 1)
ax.set_xticks_fracs(4)

Multiples of Pi

ax.set_xlim(-np.pi, 2*np.pi)
ax.set_xticks_pifracs(2)

Pi in the nominator

ax.set_xlim(0, 4*np.pi/3)
ax.set_xticks_pifracs(3, True)

Fixed locations

ax.set_xticks_fixed((0, 0.3, 1))

Fixed locations and labels

ax.set_xticks_fixed((0, 0.5, 1), ('a', 'b', 'c'))

No tick labels

ax.set_xticks_blank()

You most likely want to use common_xlabels() from the axes module.

No ticks at all

ax.set_xticks_off()