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
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: