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.Tick.set_gid() Function
The Tick.set_gid() function in axis module of matplotlib library is used to set the (group) id for the artist.
Syntax: Tick.set_gid(self, gid)
Parameters: This method accepts the following parameters.
- gid: This parameter is the string given as gid.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_gid() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick 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='red') ax.add_patch( plt.Polygon(poly_coords, color='lightblue', alpha=0.5) ) ax.margins(x=0.1, y=0.05) ax.set_aspect('equal') for i, t in enumerate(ax.patches): Tick.set_gid(t, 'patch_% d' % i) fig.suptitle('matplotlib.axis.Tick.set_gid() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots() circle = plt.Circle((0, 0), 5, fc ='lightgreen') rect = plt.Rectangle((-5, 10), 10, 5, fc ='red') ax.add_patch(circle) ax.add_patch(rect) circle_tip = ax.annotate('This is a green circle.', xy =(0, 0),xytext =(30, -30), ha ='left', textcoords ='offset points',color ='w', 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 red rectangle.', xy =(-5, 10), xytext =(30, 40),color ='w', textcoords ='offset points', 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): Tick.set_gid(t, 'patch_% d'% i) for i, t in enumerate(ax.texts): Tick.set_gid(t, 'tooltip_% d'% i) ax.set_xlim(-30, 30) ax.set_ylim(-30, 30) ax.set_aspect('equal') fig.suptitle('matplotlib.axis.Tick.set_gid() \ function Example', fontweight ="bold") plt.show() |
Output:
