Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Axis.get_gid() Function
The Axis.get_gid() function in axis module of matplotlib library is used to get the group id.
Syntax: Axis.get_gid(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the group id.
Below examples illustrate the matplotlib.axis.Axis.get_gid() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt y, x = np.mgrid[:5, 1:6] poly_coords = [ (0.25, 2.75), (3.25, 2.75), (2.25, 0.75), (0.25, 0.75) ] fig, ax = plt.subplots() cells = ax.plot(x, y, x + y, color ='green') ax.add_patch( plt.Polygon(poly_coords, color ='forestgreen', alpha = 0.5) ) ax.margins(x = 0.1, y = 0.05) ax.set_aspect('equal') for i, t in enumerate(ax.patches): Axis.set_gid(t, 'patch_% d' % i) print("Value Return :", Axis.get_gid(t)) fig.suptitle("""matplotlib.axis.Axis.get_gid() function Example\n""", fontweight ="bold") plt.show() |
Output:
Value Return : patch_ 0
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots() circle = plt.Circle((0, 0), 5, fc ='blue') rect = plt.Rectangle((-5, 10), 10, 5, fc ='green') ax.add_patch(circle) ax.add_patch(rect) circle_tip = ax.annotate('This is a blue circle.', xy =(0, 0), xytext =(30, -30), textcoords ='offset points', color ='w', ha ='left', bbox = dict(boxstyle ='round, pad =.5', fc =(.1, .1, .1, .92), ec =(1., 1., 1.), lw = 1, zorder = 1), ) rect_tip = ax.annotate('This is a green rectangle.', xy =(-5, 10), xytext =(30, 40), textcoords ='offset points', color ='w', ha ='left', bbox = dict(boxstyle ='round, pad =.5', fc =(.1, .1, .1, .92), ec =(1., 1., 1.), lw = 1, zorder = 1), ) print("Value Return :") for i, t in enumerate(ax.patches): Axis.set_gid(t, 'patch_% d'% i) print(Axis.get_gid(t)) for i, t in enumerate(ax.texts): Axis.set_gid(t, 'tooltip_% d'% i) print(Axis.get_gid(t)) ax.set_xlim(-30, 30) ax.set_ylim(-30, 30) ax.set_aspect('equal') fig.suptitle("""matplotlib.axis.Axis.get_gid() function Example\n""", fontweight ="bold") plt.show() |
Output:
Value Return : patch_ 0 patch_ 1 tooltip_ 0 tooltip_ 1
