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
#Implementation of matplotlib function 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
# Implementation of matplotlib function import matplotlib import numpy as np import matplotlib.cm as cm import matplotlib.pyplot as plt delta = 0.25x = 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:
