Python 中的 matplotlib . axes . axes . tick _ params()
原文:https://www . geeksforgeeks . org/matplotlib-axes-axes-tick _ params-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。轴类包含了大部分的图形元素:轴、刻度、线二维、文本、多边形等。，并设置坐标系。Axes 的实例通过回调属性支持回调。
matplotlib . axes . axes . tick _ params()函数
matplotlib 库的 Axes 模块中的 Axes.tick_params()函数用于控制主要刻度定位器的行为。
语法: Axes.tick_params(self，axis='both '，**kwargs)
参数:该方法接受以下参数。
- 轴:此参数用于将参数应用到哪个轴。
返回值:此方法不返回值。
下面的例子说明了 matplotlib.axes . axes . tick _ params()函数在 matplotlib . axes 中的作用:
例 1:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
values = np.array([
0.015, 0.166, 0.133, 0.159, 0.041,
0.024, 0.195, 0.039, 0.161, 0.018,
0.143, 0.056, 0.125, 0.096, 0.094,
0.051, 0.043, 0.021, 0.138, 0.075,
0.109, 0.195, 0.050, 0.074, 0.079,
0.155, 0.020, 0.010, 0.061, 0.008])
values[[3, 14]] += .8
fig, (ax, ax2) = plt.subplots(2, 1, sharex = True)
ax.plot(values, "o-", color ="green")
ax2.plot(values, "o-", color ="green")
ax.set_ylim(.78, 1.)
ax2.set_ylim(0, .22)
ax.spines['bottom'].set_visible(False)
ax2.spines['top'].set_visible(False)
ax.xaxis.tick_top()
ax.tick_params(labeltop = False)
ax2.xaxis.tick_bottom()
d = .005
kwargs = dict(transform = ax.transAxes,
color ='k', clip_on = False)
ax.plot((-d, +d), (-d, +d), **kwargs)
ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)
kwargs.update(transform = ax2.transAxes)
ax2.plot((-d, +d), (1 - d, 1 + d), **kwargs)
ax2.plot((1 - d, 1 + d), (1 - d, 1 + d), **kwargs)
fig.suptitle('matplotlib.axes.Axes.tick_params()\
function Example\n\n', fontweight ="bold")
plt.show()
输出:
例 2:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
def make_patch_spines_invisible(ax):
ax.set_frame_on(True)
ax.patch.set_visible(False)
for sp in ax.spines.values():
sp.set_visible(False)
fig, host = plt.subplots()
fig.subplots_adjust(right = 0.75)
par1 = host.twinx()
par2 = host.twinx()
# Offset the right spine of par2.
# The ticks and label have already been
# placed on the right by twinx above.
par2.spines["right"].set_position(("axes",
1.2))
# Having been created by twinx, par2
# has its frame off, so the line of its
# detached spine is invisible. First,
# activate the frame but make the patch
# and spines invisible.
make_patch_spines_invisible(par2)
# Second, show the right spine.
par2.spines["right"].set_visible(True)
p1, = host.plot([0, 1, 2], [0, 1, 2], "b-",
label ="Y-label 1")
p2, = par1.plot([0, 1, 2], [0, 30, 20],
"r-", label ="Y-label 2")
p3, = par2.plot([0, 1, 2], [500, 300, 150],
"g-", label ="Y-label 3")
host.set_xlim(0.25, 1.75)
host.set_ylim(0.25, 1.75)
par1.set_ylim(0, 40)
par2.set_ylim(10, 500)
host.set_xlabel("X-label")
host.set_ylabel("Y-label 1")
par1.set_ylabel("Y-label 2")
par2.set_ylabel("Y-label 3")
host.yaxis.label.set_color(p1.get_color())
par1.yaxis.label.set_color(p2.get_color())
par2.yaxis.label.set_color(p3.get_color())
tkw = dict(size = 4, width = 1.5)
host.tick_params(axis ='y',
colors = p1.get_color(),
**tkw)
par1.tick_params(axis ='y',
colors = p2.get_color(),
**tkw)
par2.tick_params(axis ='y',
colors = p3.get_color(),
**tkw)
host.tick_params(axis ='x', **tkw)
lines = [p1, p2, p3]
host.legend(lines, [l.get_label() for l in lines])
fig.suptitle('matplotlib.axes.Axes.tick_params()\
function Example\n\n', fontweight ="bold")
plt.show()
输出:
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