Python中的 Matplotlib.axes.Axes.get_transform()

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.get_transform()函数

matplotlib库的axes模块中的axes.get_transform()函数用于获取该艺术家使用的Transform实例

Syntax: Axes.get_transform(self)

Parameters: This method does not accepts any parameter.

Returns: This method return the Transform instance used by this artist

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

示例 1：

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
  
  
fig, ax = plt.subplots() 
l1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-")
l2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "ro-")
   
for l in [l1, l2]:
    xx = l.get_xdata()
    yy = l.get_ydata()
    shadow, = ax.plot(xx, yy)
    shadow.update_from(l)
       
    ot = mtransforms.offset_copy(l.get_transform(),
                                 ax.figure,
                                 x = 4.0, y =-6.0,
                                 units ='points')
   
    shadow.set_transform(ot)
    
fig.suptitle('matplotlib.axes.Axes.get_transform() \
function Example', fontweight ="bold") 
  
plt.show() 

输出：

示例 2：

# Implementation of matplotlib function  
import matplotlib.pyplot as plt
from matplotlib import collections, colors, transforms
import numpy as np
  
  
nverts = 50
npts = 100
   
r = np.arange(nverts)
theta = np.linspace(0, 2 * np.pi, nverts)
  
xx = r * np.sin(theta)
yy = r * np.cos(theta)
  
spiral = np.column_stack([xx, yy])
   
rs = np.random.RandomState(19680801)
   
xyo = rs.randn(npts, 2)
   
colors = [colors.to_rgba(c)
          for c in plt.rcParams['axes.prop_cycle'].by_key()['color']]
   
fig, ax1 = plt.subplots()
   
col = collections.RegularPolyCollection(
    7, sizes = np.abs(xx) * 10.0, 
    offsets = xyo,
    transOffset = ax1.transData)
  
trans = transforms.Affine2D().scale(fig.dpi / 72.0)
col.set_transform(trans) 
  
ax1.add_collection(col, autolim = True)
col.set_color(colors)
  
print("Value Return by get_transform() :\n",
       col.get_transform())
        
fig.suptitle('matplotlib.axes.Axes.get_transform() \
function Example', fontweight ="bold") 
  
plt.show() 

输出：

Value Return by get_transform() :
 Affine2D(
    [[1.38888889 0.         0.        ]
     [0.         1.38888889 0.        ]
     [0.         0.         1.        ]])