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matplotlib.axes.get_xticklabels()用 Python

表示

哎哎哎:# t0]https://www.geeksforgeeks.org/matplotlib-axes-get_xticklabels-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.get_xticklabels()函数

matplotlib 库的 Axes 模块中的Axis.get_xticklabels()函数用于将 x 刻度标签作为文本实例列表返回。

语法: Axes.get_xticklabels(self，minor=False，其中=None)

参数:该方法接受以下参数。

  • 次要:该参数用于设置主要标签还是次要标签
  • 哪个:该参数用于选择返回哪些 ticklabels。

返回值:这个方法返回一个文本实例列表。

下面的例子说明了 matplotlib.axes.axes.get_xticklabels()函数在 matplotlib.axes 中的作用:

例 1:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon

def func(x):
    return (x - 4) * (x - 6) * (x - 5) + 100

a, b = 2, 9  # integral limits
x = np.linspace(0, 10)
y = func(x)

fig, ax = plt.subplots()
ax.plot(x, y, "k", linewidth = 2)
ax.set_ylim(bottom = 0)

# Make the shaded region
ix = np.linspace(a, b)
iy = func(ix)
verts = [(a, 0), *zip(ix, iy), (b, 0)]
poly = Polygon(verts, facecolor ='green',
               edgecolor ='0.5', alpha = 0.4)
ax.add_patch(poly)

ax.text(0.5 * (a + b), 30,
        r"$\int_a ^ b f(x)\mathrm{d}x{content}quot;,
        horizontalalignment ='center',
        fontsize = 20)

fig.text(0.9, 0.05, '$x{content}apos;)
fig.text(0.1, 0.9, '$y{content}apos;)

ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)

ax.set_xticks((a, b-a, b))
ax.set_xticklabels(('$a{content}apos;, '$valx{content}apos;, '$b{content}apos;))

w = ax.get_xticklabels()
strr = str(list(w))
ax.text(3.4, 200, "xticklabels values : ", 
       fontweight ="bold")
ax.text(1, 185, strr, fontweight ="bold")

fig.suptitle('matplotlib.axes.Axes.get_xticklabels() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

输出:

例 2:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility
np.random.seed(19680801)

x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)
y2 = y + 0.2 * np.random.normal(size = x.shape)

fig, ax = plt.subplots()
ax.plot(x, y)
ax.plot(x, y2)

ax.set_xticks([0, np.pi, 2 * np.pi])
ax.set_xticklabels(['0', r'$pi{content}apos;, r'2$pi{content}apos;])

ax.spines['left'].set_bounds(-1, 1)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)

w = ax.get_xticklabels()
strr = str(list(w))
ax.text(2.5, 0, "xticklabels values : ", 
        fontweight ="bold")
ax.text(1, -0.2, strr, fontweight ="bold")

fig.suptitle('matplotlib.axes.Axes.get_xticklabels()\
 function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

输出:

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