Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.
Matplotlib.artist.Artist.set_label() Method
The set_label() method in artist module of matplotlib library is used to set the label that will be displayed in the legend.
Syntax: Artist.set_label(self, s)
Parameters: This method accepts only one parameters.
- s: This parameter is converted to a string by calling str.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.artist.Artist.set_label() function in matplotlib:
Example 1:
# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.collections import EllipseCollection
x = np.arange(10)
y = np.arange(15)
X, Y = np.meshgrid(x, y)
XY = np.column_stack((X.ravel(), Y.ravel()))
fig, ax = plt.subplots()
ec = EllipseCollection(10, 10, 5, units ='y',
offsets = XY * 0.5,
transOffset = ax.transData,
cmap ="bone")
ec.set_array((X * Y + X * X).ravel())
ax.add_collection(ec)
ax.autoscale_view()
ax.set_xlabel('X')
ax.set_ylabel('y')
cbar = plt.colorbar(ec)
cbar.set_label('X + Y')
fig.suptitle("""matplotlib.artist.Artist.set_label()
function Example""", fontweight="bold")
plt.show()
Output:
Example 2:
# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(19680801)
n = 100000
x = np.random.standard_normal(n)
y = 2 * np.random.standard_normal(n)
z =[1, 2, 3, 4]
xmin = x.min()
xmax = x.max()
ymin = y.min()
ymax = y.max()
fig, ax = plt.subplots()
hb = ax.hexbin(x, y,
gridsize = 50,
bins ='log',
cmap ='PuBuGn')
ax.set(xlim =(xmin, xmax), ylim =(ymin, ymax))
cb = fig.colorbar(hb, ax = ax)
cb.set_label('log')
fig.suptitle("""matplotlib.artist.Artist.set_label()
function Example""", fontweight="bold")
plt.show()
Output:
