Python中的 Matplotlib.figure.Figure.add_axes()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 figure 模块提供了顶级 Artist，即 Figure，其中包含所有绘图元素。该模块用于控制所有绘图元素的子图和顶级容器的默认间距。

matplotlib.figure.Figure.add_axes()函数

matplotlib 库的 add_axes() 方法图形模块用于向图形添加轴。

Syntax: add_axes(self, *args, **kwargs)

Parameters: This accept the following parameters that are described below:

• rect : This parameter is the dimensions [left, bottom, width, height] of the new axes.
• projection : This parameter is the projection type of the Axes.
• sharex, sharey : These parameters share the x or y axis with sharex and/or sharey.
• label : This parameter is the label for the returned axes.

Returns: This method return the axes class depends on the projection used.

下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.add_axes()函数：

示例 1：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
  
fig = plt.figure()
fig.subplots_adjust(top = 0.8)
ax1 = fig.add_subplot(211)
  
t = np.arange(0.0, 1.0, 0.01)
s = np.sin(2 * np.pi * t)
line, = ax1.plot(t, s, color ='green', lw = 2)
  
np.random.seed(19680801)
  
ax2 = fig.add_axes([0.15, 0.1, 0.7, 0.3])
n, bins, patches = ax2.hist(np.random.randn(1000), 50,
                            facecolor ='yellow',
                            edgecolor ='yellow')
   
fig.suptitle('matplotlib.figure.Figure.add_axes() \
function Example\n\n', fontweight ="bold")
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
fig = plt.figure()
rect = fig.patch
rect.set_facecolor('lightslategray')
  
ax1 = fig.add_axes([0.1, 0.3, 0.4, 0.4])
rect = ax1.patch
rect.set_facecolor('lightgoldenrodyellow')
  
  
for label in ax1.xaxis.get_ticklabels():
    label.set_color('green')
    label.set_rotation(25)
    label.set_fontsize(16)
  
for line in ax1.yaxis.get_ticklines():
    line.set_color('yellow')
    line.set_markersize(5)
    line.set_markeredgewidth(3)
  
fig.suptitle('matplotlib.figure.Figure.add_axes() \
function Example\n\n', fontweight ="bold")
  
plt.show()

输出：