Shared axes

Section author: Feliks Kiszkurno (Helmholtz Centre for Environmental Research GmbH - UFZ)

In this example we show how to create filled contourplots on a figure with subplots having shared axes.

Import packages, load example data set and define often used variables.

import matplotlib.pyplot as plt

import ogstools as ogs
from ogstools import examples

meshseries = examples.load_meshseries_THM_2D_PVD()
mesh_0 = meshseries.mesh(0)
mesh_1 = meshseries.mesh(1)
variable = ogs.variables.temperature

If you pass multiple meshes to ogstools.plot.contourf() by default both x and y axes will shared. Thus, only the outer axes get axes labels and tick label.

fig = ogs.plot.contourf([mesh_0, mesh_1], variable)

On user defined figure and axis the axis belonging to specific subplot has to be passed. For technical reasons, the axes label are present on all subplots.

fig, axs = plt.subplots(2, 2, figsize=(40, 17), sharex=True, sharey=True)
diff_a = mesh_0.difference(mesh_1, variable)
diff_b = mesh_1.difference(mesh_0, variable)
ogs.plot.contourf(mesh_0, variable, fig=fig, ax=axs[0][0])
ogs.plot.contourf(mesh_1, variable, fig=fig, ax=axs[1][0])
ogs.plot.contourf(diff_a, variable, fig=fig, ax=axs[0][1])
ogs.plot.contourf(diff_b, variable, fig=fig, ax=axs[1][1])
fig.tight_layout()
plt.show()

For custom figures, If they should only be present on the outer axes, they have to be adapted manually:

ax: plt.Axes
for ax in axs[0, :]:
    ax.set_xlabel("")
for ax in axs[:, -1]:
    ax.set_ylabel("")
fig.tight_layout()
fig

<Figure size 4000x1700 with 8 Axes>