Matplotlib.axis.Tick.get_label() 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.Tick.get_label() Function
The Tick.get_label() function in axis module of matplotlib library is used to get the label used for this artist in the legend.
Syntax: Tick.get_label(self) Parameters: This method does not accepts any parameter. Return value: This method return the label used for this artist in the legend.
Below examples illustrate the matplotlib.axis.Tick.get_label() function in matplotlib.axis:
Example 1:
Python3
| # Implementation of matplotlib function frommatplotlib.axis importTick importmatplotlib.pyplot as plt              fig, ax =plt.subplots()         x =[0, 2]   y =[2, 1]   line, =ax.plot(x, y)       ax.legend(("Line_1", ))         ax.text(0.2, 1.02, "Value Return by get_label()\ : " +str(line.get_label()))                   fig.suptitle("""matplotlib.axis.Tick.get_label() function Example\n""", fontweight ="bold")       plt.show()   | 
Output: 
Python3
| # Implementation of matplotlib function frommatplotlib.axis importTick importmatplotlib.pyplot as plt       defmake_patch_spines_invisible(ax):       ax.set_frame_on(True)       ax.patch.set_visible(False)       forsp inax.spines.values():           sp.set_visible(False)         fig, host =plt.subplots()   fig.subplots_adjust(right =0.75)          par1 =host.twinx()           p1, =host.plot([0, 1, 2], [0, 1, 2],                   "g-", label ="Y-label 1")   p2, =par1.plot([0, 1, 2], [0, 30, 20],                   "r-", label ="Y-label 2")         host.set_xlim(0.25, 1.75)   host.set_ylim(0.25, 1.75)   par1.set_ylim(0, 40)          host.set_xlabel("X-label")   host.set_ylabel("Y-label 1")   par1.set_ylabel("Y-label 2")          host.yaxis.label.set_color(p1.get_color())   par1.yaxis.label.set_color(p2.get_color())          tkw =dict(size =4, width =1.5)   host.tick_params(axis ='y',                     colors =p1.get_color(),                     **tkw)   par1.tick_params(axis ='y',                     colors =p2.get_color(),                    **tkw)    host.tick_params(axis ='x',                    **tkw)          lines =[p1, p2]          host.legend(lines, [l.get_label() forl inlines])                   fig.suptitle("""matplotlib.axis.Tick.get_label() function Example\n""", fontweight ="bold")       plt.show()   | 
Output: 
 
				 
					


