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.update_from() Function
The Tick.update_from() function in axis module of matplotlib library is used to Copy properties from other to self.
Syntax: Tick.update_from(self, other)
Parameters: This method accepts the following parameters.
- other: This parameter is the property to be updated.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.update_from() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt from matplotlib.legend_handler import HandlerLine2D x = np.linspace(0, 4 * np.pi) y1 = np.sin(x) y2 = np.cos(x) fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x, y1, c ='b', label ='y1', linewidth = 1.0) ax.plot(x, y2, c ='g', label ='y2') linewidth = 7 def update(prop1, prop2): Tick.update_from(prop1, prop2) prop1.set_linewidth(7) plt.legend(handler_map ={plt.Line2D : HandlerLine2D(update_func = update)}) ax.set_title('matplotlib.axis.Tick.update_from() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt from matplotlib.legend_handler import HandlerLine2D import matplotlib.transforms as mtransforms fig, ax = plt.subplots() l1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "go-") l2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "yo-") for l in [l1, l2]: xx = l.get_xdata() yy = l.get_ydata() shadow, = ax.plot(xx, yy) Tick.update_from(shadow, l) ot = mtransforms.offset_copy(l.get_transform(), ax.figure, x = 4.0, y =-6.0, units ='points') shadow.set_transform(ot) ax.set_title('matplotlib.axis.Tick.update_from() \ function Example', fontweight ="bold") plt.show() |
Output:
