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encinass1u
School_project
Commits
9affb69b
Commit
9affb69b
authored
3 years ago
by
encinass1u
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Replace stl2vtk.py
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Update README.md
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stl2vtk.py
+3
-79
3 additions, 79 deletions
stl2vtk.py
with
3 additions
and
79 deletions
stl2vtk.py
+
3
−
79
View file @
9affb69b
...
@@ -76,87 +76,11 @@ for i,m in enumerate(test_list) :
...
@@ -76,87 +76,11 @@ for i,m in enumerate(test_list) :
#This command provides an array, we decide the parameters
#This command provides an array, we decide the parameters
tata
[
'
value
'
]
=
tata
.
points
[:,
1
]
#Value give us the coordninates of eqch point
tata
[
'
value
'
]
=
tata
.
points
[:,
1
]
#Value give us the coordninates of eqch point
# tata['value'] = tata.points[:,2]
tata
.
plot
(
cpos
=
'
xy
'
,
cmap
=
'
plasma
'
,
pbr
=
True
,
metallic
=
1.0
,
roughness
=
0.3
,
zoom
=
0.7
,
text
=
'
SMATed surface
'
,
return_cpos
=
False
,
hidden_line_removal
=
True
,
anti_aliasing
=
True
)
# tata.plot_boundaries(line_width = 5)
# tata.plot_boundaries(line_width = 5)
tata_filtered
=
tata
.
plot_curvature
(
curv_type
=
'
gaussian
'
,
smooth_shading
=
True
,
tata_filtered
=
tata
.
plot_curvature
(
curv_type
=
'
gaussian
'
,
smooth_shading
=
True
,
clim
=
[
0
,
1
])
clim
=
[
0
,
1
])
tata
.
save
(
'
tata_filtered.ply
'
)
tata
.
save
(
'
tata_filtered.ply
'
)
Gaus
=
tata
.
get_array
(
'
Gaussian Curvature
'
)
print
(
Gaus
)
#Locate the arrays inside the PolyData
print
(
tata
.
array_names
)
#printing the array founded and saving it as a tuple in a variable
choc
=
tata
.
get_array
(
'
Normals
'
)
tata
.
save
(
'
tata.vtk
'
)
# print(choc)
#Data range, min,max given
# tata_r = tata.get_data_range()
#Edges showing
# tata.plot_boundaries(line_width=5)
# choc= choc.plot_curvature(curv_type='gaussian', smooth_shading=True,
# clim=[0, 1])
#Make a plane figure with edges planed, erased the edges due to the high aglomeration
# projected = tata.project_points_to_plane()
# projected.plot(show_edges=False, line_width=0.3)
if
file_parameters
==
True
:
cells
=
tata
.
n_cells
points
=
tata
.
n_points
bounds
=
tata
.
bounds
arrays
=
tata
.
n_arrays
print
(
tata
.
n_cells
)
print
(
tata
.
n_points
)
print
(
tata
.
bounds
)
print
(
tata
.
n_arrays
)
print
(
tata
.
area
)
if
cell_center
==
True
:
mesh
=
tata
mesh
.
point_data
.
clear
()
centers
=
mesh
.
cell_centers
()
pl
=
pyvista
.
Plotter
()
actor
=
pl
.
add_mesh
(
mesh
,
show_edges
=
False
)
actor
=
pl
.
add_points
(
centers
,
render_points_as_spheres
=
True
,
color
=
'
red
'
,
point_size
=
10
)
pl
.
show
()
if
elevation
==
True
:
tata_elv
=
tata
.
elevation
()
print
(
tata_elv
)
tata_elv
.
plot
(
smooth_shading
=
True
)
# Calculate de distance of entitites from a plane in the middle, doesnt stays in the middle the plane
# plane = pv.Plane()
# _ = tata.compute_implicit_distance(plane, inplace=True)
# dist = tata['implicit_distance']
# type(dist)
# pl = pv.Plotter()
# _ = pl.add_mesh(tata, scalars='implicit_distance', cmap='bwr')
# _ = pl.add_mesh(plane, color='w', style='wireframe')
# pl.show()
# merged = tata.merge(plane)
# merged.plot(style='wireframe',color='tan')
# ow = tata.overwrite(plane)
# merged.plot(style='wireframe',color='tan')
# aso= tata.get_array_association('Normals')
# print(aso)
#Interpolation of our data in a mesh
# pdata = pyvista.PolyData(tata)
# plane = pyvista.Plane()
# plane.clear_data()
# plane = plane.interpolate(pdata, sharpness=3)
# pl = pyvista.Plotter()
# _ = pl.add_mesh(pdata, render_points_as_spheres=True, point_size=50)
# _ = pl.add_mesh(plane, style='wireframe', line_width=5)
# pl.show()
# Normal ploting
# tata.plot_normals(mag=0.1,faces=False, show_edges=False)
\ No newline at end of file
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