如何只在 y 轴上打开次要的刻度

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最佳答案

Nevermind, I figured it out.

ax.tick_params(axis='x', which='minor', bottom=False)

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Here's another way I found in the matplotlib documentation:

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.ticker import MultipleLocator


a = np.arange(100)
ml = MultipleLocator(5)
plt.plot(a)
plt.axes().yaxis.set_minor_locator(ml)
plt.show()

This will place minor ticks on only the y-axis, since minor ticks are off by default.

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Also, if you only want minor ticks on the actual y-axis, rather than on both the left and right-hand sides of the graph, you can follow the plt.axes().yaxis.set_minor_locator(ml) with plt.axes().yaxis.set_tick_params(which='minor', right = 'off'), like so:

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.ticker import MultipleLocator


a = np.arange(100)
ml = MultipleLocator(5)
plt.plot(a)
plt.axes().yaxis.set_minor_locator(ml)
plt.axes().yaxis.set_tick_params(which='minor', right = 'off')
plt.show()

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To set minor ticks at custom locations:

ax.set_xticks([0, 10, 20, 30], minor=True)

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To clarify the procedure of @emad's answer, the steps to show minor ticks at default locations are:

Turn on minor ticks for an axes object, so locations are initialized as Matplotlib sees fit.
Turn off minor ticks that are not desired.

A minimal example:

import matplotlib.pyplot as plt


fig, ax = plt.subplots()
plt.plot([1,2])


# Currently, there are no minor ticks,
#   so trying to make them visible would have no effect
ax.yaxis.get_ticklocs(minor=True)     # []


# Initialize minor ticks
ax.minorticks_on()


# Now minor ticks exist and are turned on for both axes


# Turn off x-axis minor ticks
ax.xaxis.set_tick_params(which='minor', bottom=False)

Alternative Method

Alternatively, we can get minor ticks at default locations using AutoMinorLocator:

import matplotlib.pyplot as plt
import matplotlib.ticker as tck


fig, ax = plt.subplots()
plt.plot([1,2])


ax.yaxis.set_minor_locator(tck.AutoMinorLocator())

Result

Either way, the resulting plot has minor ticks on the y-axis only.

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The following snippets should help:

from matplotlib.ticker import MultipleLocator
ax.xaxis.set_minor_locator(MultipleLocator(#))
ax.yaxis.set_minor_locator(MultipleLocator(#))


# refers to the desired interval between minor ticks.