Visualizing 2D model data

Section author: Florian Zill (Helmholtz Centre for Environmental Research GmbH - UFZ)

To demonstrate the creation of filled contour plots we load a 2D THM meshseries example. In the plot.setup we can provide a dictionary to map names to material ids. Other plot configurations are also available, see: ogstools.plot.plot_setup.PlotSetup. Some of these options are also available as keyword arguments in the function call. Please see ogstools.plot.contourplots.contourf for more information.

import ogstools as ogs
from ogstools import examples

ogs.plot.setup.material_names = {i + 1: f"Layer {i+1}" for i in range(26)}
mesh = examples.load_meshseries_THM_2D_PVD().mesh(1)

To read your own data as a mesh series you can do:

mesh_series = ogs.MeshSeries("filepath/filename_pvd_or_xdmf")

the setup, this will automatically show the element edges.

fig = mesh.plot_contourf(ogs.variables.material_id)

Now, let’s plot the temperature field (point_data) at the first timestep. The default temperature variable from the variables reads the temperature data as Kelvin and converts them to degrees Celsius.

fig = mesh.plot_contourf(ogs.variables.temperature, show_max=True)

We can also plot components of vector variables:

fig = mesh.plot_contourf(
    ogs.variables.displacement[0], show_min=True, show_max=True
)

fig = mesh.plot_contourf(
    ogs.variables.displacement[1], show_max=True, show_edges=True
)

This example has hydraulically deactivated subdomains:

fig = mesh.plot_contourf(ogs.variables.pressure.get_mask(), fontsize=40)

Let’s plot the fluid velocity field.

fig = mesh.plot_contourf(ogs.variables.velocity, show_region_bounds=False)

Let’s plot it again, this time log-scaled.

fig = mesh.plot_contourf(ogs.variables.velocity, log_scaled=True, vmin=-8)