Locators for tick on axis

An example demoing different locators to position ticks on axis for matplotlib.

import numpy as np

from matplotlib import ticker
import matplotlib.pyplot as plt


def tickline():
    plt.xlim(0, 10), plt.ylim(-1, 1), plt.yticks([])
    ax = plt.gca()
    ax.spines["right"].set_color("none")
    ax.spines["left"].set_color("none")
    ax.spines["top"].set_color("none")
    ax.xaxis.set_ticks_position("bottom")
    ax.spines["bottom"].set_position(("data", 0))
    ax.yaxis.set_ticks_position("none")
    ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.1))
    ax.plot(np.arange(11), np.zeros(11))
    return ax


locators = [
    "ticker.NullLocator()",
    "ticker.MultipleLocator(1.0)",
    "ticker.FixedLocator([0, 2, 8, 9, 10])",
    "ticker.IndexLocator(3, 1)",
    "ticker.LinearLocator(5)",
    "ticker.LogLocator(2, [1.0])",
    "ticker.AutoLocator()",
]

n_locators = len(locators)

size = 512, 40 * n_locators
dpi = 72.0
figsize = size[0] / float(dpi), size[1] / float(dpi)
fig = plt.figure(figsize=figsize, dpi=dpi)
fig.patch.set_alpha(0)


for i, locator in enumerate(locators):
    plt.subplot(n_locators, 1, i + 1)
    ax = tickline()
    ax.xaxis.set_major_locator(eval(locator))
    plt.text(5, 0.3, locator[7:], ha="center")

plt.subplots_adjust(bottom=0.01, top=0.99, left=0.01, right=0.99)
plt.show()