Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.
matplotlib.pyplot.get_figlabels() method
The get_figlabels() method in pyplot module of matplotlib library is used to get the list of existing figure labels.
Syntax: matplotlib.pyplot.get_figlabels()
Parameters: This method does not accept any parameters.
Returns: This method returns the list of existing figure labels.
Below examples illustrate the matplotlib.pyplot.get_figlabels() function in matplotlib.pyplot:
Example 1:
import matplotlib.pyplot as plt import numpy as np t = np.arange(0.01, 5.0, 0.01) s = np.exp(-t) plt.plot(t, s) plt.ylim(1, 0) plt.ylabel('Display Y-axis Label', fontweight ='bold') plt.grid(True) w = plt.get_figlabels() plt.text(1.5, 0.58, "List of existing figure labels : \n" + str(w), fontsize = 12) plt.title('matplotlib.pyplot.get_figlabels() function\ Example', fontweight ="bold") plt.show() |
Output:
Example 2:
import matplotlib.pyplot as plt import matplotlib as mpl import matplotlib.patches as patches import numpy as np mpl.rcParams['figure.dpi'] = 80mpl.rcParams['savefig.dpi'] = 80 def redraw(event): if np.size(plt.get_figlabels()): ax.clear() drawRectangles(ax) fig.canvas.draw() else: pass def drawRectangles(ax): td2dis = ax.transData coords = td2dis.transform([0.2, 0.5]) tr = mpl.transforms.Affine2D().rotate_deg_around(coords[0], coords[1], 10) t = td2dis + tr rec0 = patches.Rectangle((0.5, 0.5), 0.25, 0.2, color = 'green', alpha = 0.4) ax.add_patch(rec0) rect1 = patches.Rectangle((0.5, 0.5), 0.25, 0.2, color = 'green', alpha = 0.7, transform = t) ax.add_patch(rect1); plt.title('matplotlib.pyplot.get_figlabels() function Example', fontweight ="bold") plt.grid() figSize = (8, 6) fig = plt.figure("Patch rotate", figsize = figSize) ax = fig.add_subplot(111) ax.set_xlim(0, 1);ax.set_ylim(0, 1); fig.canvas.mpl_connect('resize_event', redraw) drawRectangles(ax) plt.show() |
Output:
