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
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:
