Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.
Matplotlib.artist.Artist.get_label() Method
The set_label() method in artist module of matplotlib library is used to set the label that will be displayed in the legend.
Syntax: Artist.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.artist.Artist.get_label() function in matplotlib:
Example 1:
# Implementation of matplotlib function from matplotlib.artist import Artist 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(Artist.get_label(line))) fig.suptitle("""matplotlib.artist.Artist.get_label() function Example""", fontweight="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function from matplotlib.artist import Artist 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() par2.spines["right"].set_position(("axes", 1.2)) make_patch_spines_invisible(par2) 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, [Artist.get_label(l) for l in lines]) fig.suptitle("""matplotlib.artist.Artist.get_label() function Example""", fontweight="bold") plt.show() |
Output:
