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.is_transform_set() Function
The Axes.is_transform_set() function in axes module of matplotlib library is used to get whether the Artist has an explicitly set transform.
Syntax: Axes.is_transform_set(self)
Parameters: This method does not accepts any parameter.
Returns: This method return whether the Artist has an explicitly set transform.
Below examples illustrate the matplotlib.axes.Axes.is_transform_set() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, axs = plt.subplots() axs.plot([1, 2, 3]) axs.set_title("Is artist is explicitly set transform : " +str(axs.is_transform_set())) fig.suptitle('matplotlib.axes.Axes.is_transform_set() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, (axs, axs2) = plt.subplots(2, 1) gs = axs2.get_gridspec() axbig = fig.add_subplot(gs[1:, -1]) axbig.annotate("Second Axes", (0.4, 0.5), xycoords ='axes fraction', va ='center') axs.set_title("Is artist is explicitly set transform : " +str(axs.is_transform_set())) fig.suptitle('matplotlib.axes.Axes.is_transform_set() \ function Example', fontweight ="bold") plt.show() |
Output:
