Visualization¶

PyFVTool provides simple built-in plotting via matplotlib.

Plotting cell values¶

pf.visualizeCells(c)

Works for 1D, 2D, and 3D cell variables. In 1D it produces a line plot; in 2D a colour map; in 3D a slice or surface plot.

visualizeCells accepts optional matplotlib keyword arguments. For more control, access the underlying numpy array and plot it directly:

import matplotlib.pyplot as plt

plt.plot(mesh.cellcenters.x, c.value)
plt.xlabel('x [m]')
plt.ylabel('Concentration')
plt.show()

For 2D fields:

plt.contourf(mesh.cellcenters.x, mesh.cellcenters.y, c.value.T)
plt.colorbar()
plt.show()