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.get_transform() Method
The get_transform() method in artist module of matplotlib library is used to get the Transform instance used by this artist
Syntax: Artist.get_transform(self)
Parameters: This method does not accepts any parameter.
Returns: This method return the Transform instance used by this artist
Below examples illustrate the matplotlib.artist.Artist.get_transform() function in matplotlib:
Example 1:
# Implementation of matplotlib function from matplotlib.artist import Artist
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(Artist.get_transform(l),
ax.figure,
x = 4.0 , y = - 6.0 ,
units = 'points' )
shadow.set_transform(ot)
plt.title( """matplotlib.artist.Artist.get_transform()
function Example""" , fontweight = "bold")
plt.show() |
Output:
Example 2:
# 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() |
Output:
Value Return by get_transform() : Affine2D( [[1.38888889 0. 0. ] [0. 1.38888889 0. ] [0. 0. 1. ]])