Examples: fixed linting for infrasound example

examples/infrasound/3d_infrasound_example.py

@@ -101,4 +101,4 @@
 plot_st_helens(model.zsc.data[-1], src_coords, rec_coords,
                np.array([-4800., -4800., 0.]), (30, 30, 30))
 
-plot_top_down(model.zsc.data[-1], -4800., 4800., -4800., 4800.)
+plot_top_down(model.zsc.data[-1], -4800., 4800., -4800., 4800.)

examples/infrasound/model.py

@@ -9,7 +9,6 @@
 """
 
 import devito as dv
-import sympy as sp
 
 from itertools import product
 from examples.seismic import TimeAxis, RickerSource, Receiver

examples/infrasound/plotting.py

@@ -7,22 +7,14 @@
 
 def plot_st_helens(data, src_loc, rec_loc, origin, spacing):
     """Plot a 3D render of slices through a dataset with topography"""
-    # Create the spatial reference
     mesh = pv.UniformGrid()
-
-    # Set the grid dimensions: shape + 1 because we want to inject our values on
-    #   the CELL data
     mesh.dimensions = np.array(data.shape) + 1
-
-    # Edit the spatial reference
-    mesh.origin = origin  # The bottom left corner of the data set
-    mesh.spacing = spacing  # These are the cell sizes along each axis
+    mesh.origin = origin
+    mesh.spacing = spacing
 
     # Add the data values to the cell data
-    mesh.cell_data["values"] = data.flatten(order="F")  # Flatten the array!
+    mesh.cell_data["values"] = data.flatten(order="F")
 
-    # Now plot the grid!
-    # slices = mesh.slice_orthogonal(z=1800)
     slicex = mesh.slice(normal=[1, 0, 0])
     slicey = mesh.slice(normal=[0, 1, 0])