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_legend_handles_labels() Function
The Axes.get_legend_handles_labels() function in axes module of matplotlib library is used to return the handles and labels for legend.
Syntax: Axes.get_legend_handles_labels(self)
Parameters: This method does not accepts any parameters.
Return: This function return the handles and labels for legend.
Below examples illustrate the matplotlib.axes.Axes.get_legend_handles_labels() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.plot([1, 6, 3, 8, 34, 13, 56, 67], color ="green") h, l = ax.get_legend_handles_labels() # print(h, l) text ="Legend is present"if h ==[]: text ="No legend present"else: text+="and labels are : "+str(l) ax.text(2.5, 60, text, fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_legend_handles_labels()\ function Example\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np np.random.seed(19680801) import matplotlib.pyplot as plt fig, ax = plt.subplots() for color in [ 'tab:green', 'tab:blue', 'tab:orange']: n = 70 x, y = np.random.rand(2, n) scale = 1000.0 * np.random.rand(n) ax.scatter(x, y, c = color, s = scale, label = color, alpha = 0.35) ax.legend() ax.grid(True) h, l = ax.get_legend_handles_labels() print(h, l) text =" Legend is present"if h ==[]: text ="No legend present"else: text+=" and labels are : \n"+str(l) ax.text(0.15, 0.45, text, fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_legend_handles_labels()\ function Example\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
