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

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. 

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: