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.Tick.is_transform_set() Function
The Tick.is_transform_set() function in axis module of matplotlib library is used to get whether the Artist has an explicitly set transform.
Syntax: Tick.is_transform_set(self)
Parameters: This method does not accepts any parameter.
Return value: This method return whether the Artist has an explicitly set transform.
Below examples illustrate the matplotlib.axis.Tick.is_transform_set() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np # create test data np.random.seed(10**7) data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 4)] fig, ax1 = plt.subplots() val = ax1.violinplot(data) ax1.set_title("Is artist is explicitly set transform : " +str(Tick.is_transform_set(ax1))) fig.suptitle('matplotlib.axis.Tick.is_transform_set() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse delta = 15.0 angles = np.arange(0, 360 + delta, delta) ells = [Ellipse((2, 2), 5, 2, a) for a in angles] fig, ax = plt.subplots() for e in ells: Tick.set_clip_box(e, ax.bbox) e.set_facecolor("green") e.set_alpha(0.05) ax.add_artist(e) plt.xlim(-1, 5) plt.ylim(-1, 5) ax.set_title("Is artist is explicitly set transform : " +str(Tick.is_transform_set(ax))) fig.suptitle('matplotlib.axis.Tick.is_transform_set() \ function Example', fontweight ="bold") plt.show() |
Output:
