Python中的 Matplotlib.axes.Axes.indicate_inset()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.indicate_inset()函数

matplotlib 库的 axes 模块中的Axes.indicate_inset()函数也用于向轴添加插入指示符。

Syntax: Axes.indicate_inset(self, bounds, inset_ax=None, *, transform=None, facecolor=’none’, edgecolor=’0.5′, alpha=0.5, zorder=4.99, **kwargs)

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

bounds: This parameter is the Lower-left corner of rectangle to be marked and its width and height.[x0, y0, width, height]
transform: This parameter is the units of rect are in axes-relative coordinates.
zorder: This parameter contains the number and its default value is 5.
inset_ax: This parameter ia an optional inset axes to draw connecting lines to.
facecolor: This parameter is used to insert the facecolor of the rectangle.
edgecolor: This parameter is the color of the rectangle and color of the connecting lines.
alpha: This parameter represents the transparency of the rectangle and connector lines.

Returns: This method returns the the following:

rectangle_patch : This return the indicator frame.
connector_lines: This return the four connector lines connecting to (lower_left, upper_left, lower_right upper_right) corners of inset_ax.

编程需要懂一点英语

注意：此函数适用于 Matplotlib 版本 >= 3.0

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.indicate_inset()函数：

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
    
fig, ax = plt.subplots()
ax.plot(range(10))
axin1 = ax.indicate_inset([0.8, 0.1, 0.5, 0.5])
axin2 = ax.indicate_inset(
        [5, 7, 2.3, 2.3], transform = ax.transData)
ax.set_title('matplotlib.axes.Axes.indicate_inset() Example',
             fontsize = 14, fontweight ='bold')
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
   
def geeks():
    from matplotlib.cbook import get_sample_data
    import numpy as np
    f = get_sample_data("axes_grid/bivariate_normal.npy",
                        asfileobj = False)
  
    z = np.load(f)
    return z, (-3, 4, -4, 3)
   
fig, ax = plt.subplots()
ax.plot(range(-3, 5), range(-4, 4))
X, extent = geeks()
Z2 = np.zeros([150, 150], dtype ="g")
ny, nx = X.shape
Z2[30:30 + ny, 30:30 + nx] = X
   
ax.imshow(Z2**3 + 100, extent = extent, 
          interpolation ="nearest",
          origin ="lower", cmap ="Greens")
   
axins, axins1 = ax.indicate_inset([-1.5, -2.5, 0.8, 0.8])
   
ax.set_title('matplotlib.axes.Axes.indicate_inset() Example',
             fontsize = 14, fontweight ='bold')
plt.show()

输出：