Matplotlib.axes.axes.set_xticklabels()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

matplotlib.axes.Axes.set_xticklabels() Function

matplotlib库的Axes模块中的Axes.set_xticklabels()函数用于使用字符串标签列表设置x-tick标签。

Axes.set_xticklabels(self, labels, fontdict=None，minor=False， **kwargs)

参数:该方法接受以下参数。

• labels:该参数是字符串标签的列表。
• fontdict:这个参数是控制ticklabel外观的字典。
• minor:设置主要节拍和次要节拍都使用该参数

返回值:该方法返回一个Text实例列表。

下面的例子演示了matplotlib.axes.axes.set_xticklabels()函数在matplotlib.axes中的作用:

示例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",
        horizontalalignment ='center',
        fontsize = 20)
   
fig.text(0.9, 0.05, 'x')
fig.text(0.1, 0.9, 'y')
   
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
 
ax.set_xticks((a, b-a, b))
ax.set_xticklabels(('a', 'valx', 'b'))
   
fig.suptitle('matplotlib.axes.Axes.set_xticklabels() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

输出:

示例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', r'2\pi'])
   
ax.spines['left'].set_bounds(-1, 1)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
   
fig.suptitle('matplotlib.axes.Axes.set_xticklabels() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

输出: