Matplotlib.artist.Artist.set_transform() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

Matplotlib.artist.Artist.set_transform() Method

The set_transform() method in artist module of matplotlib library is used to set the artist transform.

Syntax: Artist.set_transform(self, t)

Parameters: This method accepts only one parameters.

  • t : This parameter is the Transform.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.artist.Artist.set_transform() function in matplotlib:

Example 1:



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# Implementation of matplotlib function
from matplotlib.artist import Artist 
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.transforms as mtransforms 
  
    
delta = 0.25
  
x = y = np.arange(-3.0, 3.0, delta) 
X, Y = np.meshgrid(x, y) 
  
Z1 = np.exp(-X**2 - Y**2
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2
Z = (Z1 - Z2) 
    
transform = mtransforms.Affine2D().rotate_deg(30
fig, ax = plt.subplots() 
        
im = ax.imshow(Z, interpolation ='none'
               origin ='lower'
               extent =[-2, 4, -3, 2],  
               clip_on = True
    
trans_data = transform + ax.transData 
Artist.set_transform(im, trans_data) 
    
x1, x2, y1, y2 = im.get_extent() 
ax.plot([x1, x2, x2, x1, x1],  
        [y1, y1, y2, y2, y1], 
        "ro-"
        transform = trans_data) 
    
ax.set_xlim(-5, 5
ax.set_ylim(-4, 4
  
plt.title("""matplotlib.artist.Artist.set_transform()
function Example""", fontweight="bold")
  
plt.show()

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Output:

Example 2:

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# Implementation of matplotlib function
from matplotlib.artist import Artist 
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
Artist.set_transform(col, trans)  
    
ax1.add_collection(col, autolim = True
col.set_color(colors)
  
plt.title("""matplotlib.artist.Artist.set_transform()
function Example""", fontweight="bold")
  
plt.show()

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Output:




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