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# Matplotlib.axes.Axes.get_transform() in Python

• Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

## matplotlib.axes.Axes.get_transform() Function

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

Syntax: Axes.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.axes.Axes.get_transform() function in matplotlib.axes:

Example 1:

 # Implementation of matplotlib function import numpy as np import matplotlib.pyplot as pltimport 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()

Output:

Example 2:

 # Implementation of matplotlib function  import matplotlib.pyplot as pltfrom matplotlib import collections, colors, transformsimport numpy as np    nverts = 50npts = 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()

Output:

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

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