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.set_gid() Function
The Axes.set_gid() function in axes module of matplotlib library is used to set the (group) id for the artist.
Syntax: Axes.set_gid(self, gid)
Parameters: This method accepts only one parameters.
- gid: This parameter is the string given as gid.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_gid() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function 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): t.set_gid('patch_% d' % i) fig.suptitle('matplotlib.axes.Axes.set_gid() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function 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), ) for i, t in enumerate(ax.patches): t.set_gid('patch_% d'% i) for i, t in enumerate(ax.texts): t.set_gid('tooltip_% d'% i) ax.set_xlim(-30, 30) ax.set_ylim(-30, 30) ax.set_aspect('equal') fig.suptitle('matplotlib.axes.Axes.set_gid() function \ Example\n\n', fontweight ="bold") plt.show() |
Output:
