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Matplotlib.axes.Axes.get_label() in Python

  • Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.get_label() Function

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The Axes.get_label() function in axes module of matplotlib library is used to get the label used for this artist in the legend.

Syntax: Axes.get_label(self)



Parameters: This method does not accepts any parameter.

Returns: This method return the label used for this artist in the legend.

Below examples illustrate the matplotlib.axes.Axes.get_label() function in matplotlib.axes:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
  
fig, ax = plt.subplots()
  
x = [0, 1]
y = [1, 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.axes.Axes.get_label() function\
Example\n\n', fontweight ="bold")
  
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
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()
par2 = host.twinx()
   
# Offset the right spine of par2.
# The ticks and label have already been
# placed on the right by twinx above.
par2.spines["right"].set_position(("axes", 1.2))
  
# Having been created by twinx, par2 has
# its frame off, so the line of its
# detached spine is invisible.  First,
# activate the frame but make the patch
# and spines invisible.
make_patch_spines_invisible(par2)
  
# Second, show the right spine.
par2.spines["right"].set_visible(True)
   
p1, = host.plot([0, 1, 2], [0, 1, 2],
                "b-", label ="Y-label 1")
p2, = par1.plot([0, 1, 2], [0, 30, 20],
                "r-", label ="Y-label 2")
p3, = par2.plot([0, 1, 2], [500, 300, 150], 
                "g-", label ="Y-label 3")
   
host.set_xlim(0.25, 1.75)
host.set_ylim(0.25, 1.75)
par1.set_ylim(0, 40)
par2.set_ylim(10, 500)
   
host.set_xlabel("X-label")
host.set_ylabel("Y-label 1")
par1.set_ylabel("Y-label 2")
par2.set_ylabel("Y-label 3")
   
host.yaxis.label.set_color(p1.get_color())
par1.yaxis.label.set_color(p2.get_color())
par2.yaxis.label.set_color(p3.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)
par2.tick_params(axis ='y',
                 colors = p3.get_color(),
                 **tkw)
host.tick_params(axis ='x',
                 **tkw)
   
lines = [p1, p2, p3]
   
host.legend(lines, [l.get_label() for l in lines])
  
fig.suptitle('matplotlib.axes.Axes.get_label()\
function Example\n\n', fontweight ="bold")
  
plt.show()

Output:
Diagram:




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