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 from matplotlib.axis import Tick import matplotlib.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: 
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt def make_patch_spines_invisible(ax): ax.set_frame_on(True) ax.patch.set_visible(False) for sp in ax.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() for l in lines]) fig.suptitle("""matplotlib.axis.Tick.get_label() function Example\n""", fontweight ="bold") plt.show() |
Output: 
