Matplotlib.pyplot.setp() function in Python
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.setp() function
The setp() function in pyplot module of matplotlib library is used to set the property on an artist object.
Syntax: matplotlib.pyplot.setp(obj, \*args, \*\*kwargs)
Parameters: This method accept the following parameters that are described below:
- obj: This parameter is the artist object.
- **kwargs: There are different keyword arguments which are accepted.
Returns: This method does not returns any value.
Below examples illustrate the matplotlib.pyplot.setp() function in matplotlib.pyplot:
Example 1:
Python3
import numpy as np
import matplotlib.pyplot as plt
def tellme(s):
plt.title(s, fontsize = 16 )
plt.draw()
plt.clf()
plt.setp(plt.gca(), autoscale_on = False )
tellme( 'matplotlib.pyplot.setp() function Example' )
plt.show()
|
Output:
Example 2:
Python3
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
delta = 0.25
x = np.arange( - 3.0 , 5.0 , delta)
y = np.arange( - 1.3 , 2.5 , delta)
X, Y = np.meshgrid(x, y)
Z = (np.exp( - X * * 2 - Y * * 2 ) - np.exp( - (X - 1 ) * * 2 - (Y - 1 ) * * 2 ))
im = plt.imshow(Z, interpolation = 'bilinear' ,
origin = 'lower' ,
cmap = "bone" ,
extent = ( - 3 , 3 , - 2 , 2 ))
levels = np.arange( - 1.2 , 1.6 , 0.2 )
CS = plt.contour(Z, levels,
origin = 'lower' ,
cmap = 'Greens' ,
linewidths = 2 ,
extent = ( - 3 , 3 , - 2 , 2 ))
zc = CS.collections[ 6 ]
plt.setp(zc, linewidth = 2 )
plt.clabel(CS, levels,
inline = 1 ,
fmt = '%1.1f' ,
fontsize = 14 )
plt.title( 'matplotlib.pyplot.setp() Example' )
plt.show()
|
Output:
Last Updated :
05 Jun, 2020
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...