The Finite Element Method (FEM) is used in a variety of tasks such as modeling of different material types, testing complex geometries, visualizing the local effects acting on a small area of a design. It basically breaks a large spatial domain into simple parts called "finite elements". The simple equations that model these finite elements are then collected into a larger system of equations to model the entire domain.
To plot 2d FEM results using matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create nodes, elements and node values data points using numpy.
- Transpose the nodes' data points.
- Create a 3D filled contour plot, using tricontourf().
- To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True nodes = np.array([ [0.0, 0.0], [1.0, 0.0], [2.0, 0.5], [0.0, 1.0], [1.0, 1.0], [1.7, 1.3], [1.0, 1.7]]) elements = np.array([ [1, 2, 5], [5, 4, 1], [2, 3, 6], [6, 5, 2], [4, 5, 7], [5, 6, 7]]) values = [1, 2, 1, 2, 7, 4, 5] x, y = nodes.T plt.tricontourf(x, y, elements - 1, values, 12, cmap='copper') plt.show()
Output
It will produce the following output