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Matplotlib.axis.Axis.get_transform() function in Python

  • Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_transform() Function

The Axis.get_transform() function in axis module of matplotlib library is used to get the Transform instance used by this artist. 
 

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Syntax: Axis.get_transform(self) 
 



Parameters: This method does not accepts any parameter. 
 

Return value: This method return the Transform instance used by this artist. 

Below examples illustrate the matplotlib.axis.Axis.get_transform() function in matplotlib.axis:
 

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
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.axis.Axis.get_transform()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
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)  
Axis.set_transform(col, trans)   
      
ax1.add_collection(col, autolim = True)  
col.set_color(colors)
print("Value Return by get_transform() :\n"
       col.get_transform())
  
fig.suptitle("""matplotlib.axis.Axis.get_transform()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

 




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