Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
matplotlib.figure.Figure.get_edgecolor() method
The get_edgecolor() method figure module of matplotlib library is used to get the edge color of the Figure rectangle.
Syntax: get_edgecolor(self)
Parameters: This method does not accept any parameters.
Returns: This method return the edge color of the Figure rectangle.
Below examples illustrate the matplotlib.figure.Figure.get_edgecolor() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.figure import Figure from mpl_toolkits.axisartist.axislines import Subplot import numpy as np fig = plt.figure(edgecolor = "green" ) ax = Subplot(fig, 111 ) fig.add_subplot(ax) w = fig.get_edgecolor() ax.text( 0.2 , 0.5 , "Value Return by get_edgecolor() :\n" + str (w), fontweight = "bold" ) fig.canvas.draw() fig.suptitle('matplotlib.figure.Figure.get_edgecolor() \ function Example', fontweight = "bold" ) plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.figure import Figure import numpy as np fig = plt.figure(edgecolor = "red" , figsize = ( 7 , 6 )) ax = fig.add_axes([ 0.1 , 0.1 , 0.8 , 0.8 ]) xx = np.arange( 0 , 2 * np.pi, 0.01 ) ax.plot(xx, np.sin(xx)) w = fig.get_edgecolor() ax.text( 2 , 0 , "Value Return by get_edgecolor() :\n" + str (w), fontweight = "bold" ) fig.canvas.draw() fig.suptitle('matplotlib.figure.Figure.get_edgecolor()\ function Example', fontweight = "bold" ) plt.show() |
Output: