def procrustes(sources, rigid=False, legend=None):
'''
Return an Assembly of aligned source actors with
the vtkProcrustesAlignmentFilter class. Assembly is normalized in space.
Takes N set of points and aligns them in a least-squares sense
to their mutual mean. The algorithm is iterated until convergence,
as the mean must be recomputed after each alignment.
'''
group = vtk.vtkMultiBlockDataGroupFilter()
for source in sources:
if sources[0].N() != source.N():
vc.printc('Procrustes error in align():' , c=1)
vc.printc(' sources have different nr of points', c=1)
exit(0)
group.AddInputData(source.polydata())
procrustes = vtk.vtkProcrustesAlignmentFilter()
procrustes.StartFromCentroidOn()
procrustes.SetInputConnection(group.GetOutputPort())
if rigid:
procrustes.GetLandmarkTransform().SetModeToRigidBody()
procrustes.Update()
acts = []
for i in range(len(sources)):
poly = procrustes.GetOutput().GetBlock(i)
actor = Actor(poly)
actor.SetProperty(sources[i].GetProperty())
acts.append(actor)
assem = Assembly(acts, legend=legend)
assem.info['transform'] = procrustes.GetLandmarkTransform()
return assem
def cluster(points, radius, legend=None):
'''
Clustering of points in space.
radius, is the radius of local search.
Individual subsets can be accessed through actor.clusters
[**Example**](https://github.com/marcomusy/vtkplotter/blob/master/examples/basic/clustering.py)
'''
if isinstance(points, vtk.vtkActor):
poly = points.polydata()
else:
src = vtk.vtkPointSource()
src.SetNumberOfPoints(len(points))
src.Update()
vpts = src.GetOutput().GetPoints()
for i, p in enumerate(points):
vpts.SetPoint(i, p)
poly = src.GetOutput()
cluster = vtk.vtkEuclideanClusterExtraction()
cluster.SetInputData(poly)
cluster.SetExtractionModeToAllClusters()
cluster.SetRadius(radius)
cluster.ColorClustersOn()
cluster.Update()
idsarr = cluster.GetOutput().GetPointData().GetArray('ClusterId')
Nc = cluster.GetNumberOfExtractedClusters()
sets = [[] for i in range(Nc)]
for i, p in enumerate(points):
sets[idsarr.GetValue(i)].append(p)
acts = []
for i, aset in enumerate(sets):
acts.append(vs.points(aset, c=i))
actor = Assembly(acts, legend=legend)
actor.info['clusters'] = sets
print('Nr. of extracted clusters', Nc)
if Nc > 10:
print('First ten:')
for i in range(Nc):
if i > 9:
print('...')
break
print('Cluster #'+str(i)+', N =', len(sets[i]))
print('Access individual clusters through attribute: actor.cluster')
return actor
def spline(points, smooth=0.5, degree=2,
s=2, c='b', alpha=1., nodes=False, legend=None, res=20):
'''
Return a vtkActor for a spline that doesnt necessarly pass exactly throught all points.
Options:
smooth, smoothing factor:
0 = interpolate points exactly,
1 = average point positions
degree = degree of the spline (1<degree<5)
nodes = True shows also original the points
[**Example**](https://github.com/marcomusy/vtkplotter/blob/master/examples/tutorial.py)
'''
try:
from scipy.interpolate import splprep, splev
except ImportError:
vc.printc('Warning: ..scipy not installed, using vtkCardinalSpline instead.', c=5)
return _vtkspline(points, s, c, alpha, nodes, legend, res)
Nout = len(points)*res # Number of points on the spline
points = np.array(points)
minx, miny, minz = np.min(points, axis=0)
maxx, maxy, maxz = np.max(points, axis=0)
maxb = max(maxx-minx, maxy-miny, maxz-minz)
smooth *= maxb/2 # must be in absolute units
x, y, z = points[:, 0], points[:, 1], points[:, 2]
tckp, _ = splprep([x, y, z], task=0, s=smooth, k=degree) # find the knots
# evaluate spline, including interpolated points:
xnew, ynew, znew = splev(np.linspace(0, 1, Nout), tckp)
ppoints = vtk.vtkPoints() # Generate the polyline for the spline
profileData = vtk.vtkPolyData()
ppoints.SetData(numpy_to_vtk( list(zip(xnew, ynew, znew)), deep=True))
lines = vtk.vtkCellArray() # Create the polyline
lines.InsertNextCell(Nout)
for i in range(Nout):
lines.InsertCellPoint(i)
profileData.SetPoints(ppoints)
profileData.SetLines(lines)
actline = Actor(profileData, c=c, alpha=alpha, legend=legend)
actline.GetProperty().SetLineWidth(s)
if nodes:
actnodes = vs.points(points, r=5, c=c, alpha=alpha)
ass = Assembly([actline, actnodes], legend=legend)
return ass
else:
return actline
def Earth(pos=(0, 0, 0), r=1, lw=1):
"""Build a textured actor representing the Earth.
.. hint:: |geodesic| |geodesic.py|_
"""
import os
tss = vtk.vtkTexturedSphereSource()
tss.SetRadius(r)
tss.SetThetaResolution(72)
tss.SetPhiResolution(36)
earthMapper = vtk.vtkPolyDataMapper()
earthMapper.SetInputConnection(tss.GetOutputPort())
earthActor = Actor(c="w")
earthActor.SetMapper(earthMapper)
atext = vtk.vtkTexture()
pnmReader = vtk.vtkPNMReader()
cdir = os.path.dirname(__file__)
if cdir == "":
cdir = "."
fn = settings.textures_path + "earth.ppm"
pnmReader.SetFileName(fn)
atext.SetInputConnection(pnmReader.GetOutputPort())
atext.InterpolateOn()
earthActor.SetTexture(atext)
if not lw:
earthActor.SetPosition(pos)
return earthActor
es = vtk.vtkEarthSource()
es.SetRadius(r / 0.995)
earth2Mapper = vtk.vtkPolyDataMapper()
earth2Mapper.SetInputConnection(es.GetOutputPort())
earth2Actor = Actor() # vtk.vtkActor()
earth2Actor.SetMapper(earth2Mapper)
earth2Mapper.ScalarVisibilityOff()
earth2Actor.GetProperty().SetLineWidth(lw)
ass = Assembly([earthActor, earth2Actor])
ass.SetPosition(pos)
settings.collectable_actors.append(ass)
return ass
def earth(pos=[0, 0, 0], r=1, lw=1):
'''Build a textured actor representing the Earth.
.. hint:: Example: `earth.py <https://github.com/marcomusy/vtkplotter/blob/master/examples/basic/earth.py>`_
.. image:: https://user-images.githubusercontent.com/32848391/51031592-5a448700-159d-11e9-9b66-bee6abb18679.png
'''
import os
tss = vtk.vtkTexturedSphereSource()
tss.SetRadius(r)
tss.SetThetaResolution(72)
tss.SetPhiResolution(36)
earthMapper = vtk.vtkPolyDataMapper()
earthMapper.SetInputConnection(tss.GetOutputPort())
earthActor = Actor() #vtk.vtkActor()
earthActor.SetMapper(earthMapper)
atext = vtk.vtkTexture()
pnmReader = vtk.vtkPNMReader()
cdir = os.path.dirname(__file__)
if cdir == '':
cdir = '.'
fn = cdir + '/textures/earth.ppm'
pnmReader.SetFileName(fn)
atext.SetInputConnection(pnmReader.GetOutputPort())
atext.InterpolateOn()
earthActor.SetTexture(atext)
if not lw:
earthActor.SetPosition(pos)
return earthActor
es = vtk.vtkEarthSource()
es.SetRadius(r / .995)
earth2Mapper = vtk.vtkPolyDataMapper()
earth2Mapper.SetInputConnection(es.GetOutputPort())
earth2Actor = Actor() # vtk.vtkActor()
earth2Actor.SetMapper(earth2Mapper)
earth2Actor.GetProperty().SetLineWidth(lw)
ass = Assembly([earthActor, earth2Actor])
ass.SetPosition(pos)
return ass
def trimesh2vtk(inputobj, alphaPerCell=False):
"""Convert trimesh object to ``Actor(vtkActor)`` object."""
from vtkplotter import Actor
#colors.printc('trimesh2vtk inputobj', type(inputobj), c=3)
inputobj_type = str(type(inputobj))
if "Trimesh" in inputobj_type or "primitives" in inputobj_type:
faces = inputobj.faces
poly = buildPolyData(inputobj.vertices, faces)
tact = Actor(poly)
if inputobj.visual.kind == 'face':
trim_c = inputobj.visual.face_colors
else:
trim_c = inputobj.visual.vertex_colors
if isSequence(trim_c):
if isSequence(trim_c[0]):
trim_cc = trim_c[:, [0, 1, 2]] / 255
trim_al = trim_c[:, 3] / 255
if inputobj.visual.kind == 'face':
tact.colorCellsByArray(trim_cc, trim_al, alphaPerCell)
else:
tact.colorVerticesByArray(trim_cc, trim_al)
else:
print('trim_c not sequence?', trim_c)
return tact
elif "PointCloud" in inputobj_type:
from vtkplotter.shapes import Points
trim_cc, trim_al = 'black', 1
if hasattr(inputobj, 'vertices_color'):
trim_c = inputobj.vertices_color
if len(trim_c):
trim_cc = trim_c[:, [0, 1, 2]] / 255
trim_al = trim_c[:, 3] / 255
trim_al = np.sum(trim_al) / len(trim_al) # just the average
return Points(inputobj.vertices, r=8, c=trim_cc, alpha=trim_al)
elif "path" in inputobj_type:
from vtkplotter.shapes import Line
from vtkplotter.actors import Assembly
lines = []
for e in inputobj.entities:
#print('trimesh entity', e.to_dict())
l = Line(inputobj.vertices[e.points], c='k', lw=2)
lines.append(l)
return Assembly(lines)
return None
def showInset(self, *actors,
**options): #pos=3, size=0.1, c='r', draggable=True):
"""Add a draggable inset space into a renderer.
:param pos: icon position in the range [1-4] indicating one of the 4 corners,
or it can be a tuple (x,y) as a fraction of the renderer size.
:param float size: size of the square inset.
:param bool draggable: if True the subrenderer space can be dragged around.
.. hint:: |inset| |inset.py|_
"""
pos = options.pop("pos", None)
size = options.pop("size", 0.1)
c = options.pop("c", 'r')
draggable = options.pop("draggable", True)
if not self.renderer:
colors.printc(
"~lightningWarning: Use showInset() after first rendering the scene.",
c=3)
save_int = self.interactive
self.show(interactive=0)
self.interactive = save_int
widget = vtk.vtkOrientationMarkerWidget()
r, g, b = colors.getColor(c)
widget.SetOutlineColor(r, g, b)
if len(actors) == 1:
widget.SetOrientationMarker(actors[0])
else:
widget.SetOrientationMarker(Assembly(utils.flatten(actors)))
widget.SetInteractor(self.interactor)
if utils.isSequence(pos):
widget.SetViewport(pos[0] - size, pos[1] - size, pos[0] + size,
pos[1] + size)
else:
if pos < 2:
widget.SetViewport(0, 1 - 2 * size, size * 2, 1)
elif pos == 2:
widget.SetViewport(1 - 2 * size, 1 - 2 * size, 1, 1)
elif pos == 3:
widget.SetViewport(0, 0, size * 2, size * 2)
elif pos == 4:
widget.SetViewport(1 - 2 * size, 0, 1, size * 2)
widget.EnabledOn()
widget.SetInteractive(draggable)
self.widgets.append(widget)
for a in actors:
if a in self.actors:
self.actors.remove(a)
return widget
def earth(pos=[0, 0, 0], r=1, lw=1):
'''Build a textured actor representing the Earth.
[**Example**](https://github.com/marcomusy/vtkplotter/blob/master/examples/basic/earth.py)
'''
import os
tss = vtk.vtkTexturedSphereSource()
tss.SetRadius(r)
tss.SetThetaResolution(72)
tss.SetPhiResolution(36)
earthMapper = vtk.vtkPolyDataMapper()
earthMapper.SetInputConnection(tss.GetOutputPort())
earthActor = Actor() #vtk.vtkActor()
earthActor.SetMapper(earthMapper)
atext = vtk.vtkTexture()
pnmReader = vtk.vtkPNMReader()
cdir = os.path.dirname(__file__)
if cdir == '':
cdir = '.'
fn = cdir + '/textures/earth.ppm'
pnmReader.SetFileName(fn)
atext.SetInputConnection(pnmReader.GetOutputPort())
atext.InterpolateOn()
earthActor.SetTexture(atext)
if not lw:
earthActor.SetPosition(pos)
return earthActor
es = vtk.vtkEarthSource()
es.SetRadius(r / .995)
earth2Mapper = vtk.vtkPolyDataMapper()
earth2Mapper.SetInputConnection(es.GetOutputPort())
earth2Actor = Actor() # vtk.vtkActor()
earth2Actor.SetMapper(earth2Mapper)
earth2Actor.GetProperty().SetLineWidth(lw)
ass = Assembly([earthActor, earth2Actor])
ass.SetPosition(pos)
return ass
def load3DS(filename, legend=None):
renderer = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.AddRenderer(renderer)
importer = vtk.vtk3DSImporter()
importer.SetFileName(filename)
importer.ComputeNormalsOn()
importer.SetRenderWindow(renWin)
importer.Update()
actors = renderer.GetActors() # vtkActorCollection
acts = []
for i in range(actors.GetNumberOfItems()):
a = actors.GetItemAsObject(i)
acts.append(a)
del renWin
return Assembly(acts, legend=legend)
def normals(actor, ratio=5, c=(0.6, 0.6, 0.6), alpha=0.8, legend=None):
'''
Build a vtkActor made of the normals at vertices shown as arrows
[**Example1**](https://github.com/marcomusy/vtkplotter/blob/master/examples/tutorial.py)
[**Example2**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/fatlimb.py)
'''
maskPts = vtk.vtkMaskPoints()
maskPts.SetOnRatio(ratio)
maskPts.RandomModeOff()
src = actor.polydata()
maskPts.SetInputData(src)
arrow = vtk.vtkLineSource()
arrow.SetPoint1(0,0,0)
arrow.SetPoint2(.75,0,0)
glyph = vtk.vtkGlyph3D()
glyph.SetSourceConnection(arrow.GetOutputPort())
glyph.SetInputConnection(maskPts.GetOutputPort())
glyph.SetVectorModeToUseNormal()
b = src.GetBounds()
sc = max([b[1]-b[0], b[3]-b[2], b[5]-b[4]])/20.
glyph.SetScaleFactor(sc)
glyph.SetColorModeToColorByVector()
glyph.SetScaleModeToScaleByVector()
glyph.OrientOn()
glyph.Update()
glyphMapper = vtk.vtkPolyDataMapper()
glyphMapper.SetInputConnection(glyph.GetOutputPort())
glyphMapper.SetScalarModeToUsePointFieldData()
glyphMapper.SetColorModeToMapScalars()
glyphMapper.ScalarVisibilityOn()
glyphMapper.SelectColorArray("Elevation")
glyphActor = vtk.vtkActor()
glyphActor.SetMapper(glyphMapper)
glyphActor.GetProperty().EdgeVisibilityOff()
glyphActor.GetProperty().SetColor(vc.getColor(c))
# check if color string contains a float, in this case ignore alpha
al = vc.getAlpha(c)
if al:
alpha = al
glyphActor.GetProperty().SetOpacity(alpha)
glyphActor.PickableOff()
aactor = Assembly([actor, glyphActor], legend=legend)
return aactor
def load3DS(filename):
"""Load ``3DS`` file format from file. Return an ``Assembly(vtkAssembly)`` object."""
renderer = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.AddRenderer(renderer)
importer = vtk.vtk3DSImporter()
importer.SetFileName(filename)
importer.ComputeNormalsOn()
importer.SetRenderWindow(renWin)
importer.Update()
actors = renderer.GetActors() # vtkActorCollection
acts = []
for i in range(actors.GetNumberOfItems()):
a = actors.GetItemAsObject(i)
acts.append(a)
del renWin
return Assembly(acts)
def _load_file(filename, c, alpha, threshold, spacing, unpack):
fl = filename.lower()
################################################################# other formats:
if fl.endswith(".xml") or fl.endswith(".xml.gz") or fl.endswith(".xdmf"):
# Fenics tetrahedral file
actor = loadDolfin(filename)
elif fl.endswith(".neutral") or fl.endswith(".neu"): # neutral tetrahedral file
actor = loadNeutral(filename)
elif fl.endswith(".gmsh"): # gmesh file
actor = loadGmesh(filename)
elif fl.endswith(".pcd"): # PCL point-cloud format
actor = loadPCD(filename)
actor.GetProperty().SetPointSize(2)
elif fl.endswith(".off"):
actor = loadOFF(filename)
elif fl.endswith(".3ds"): # 3ds format
actor = load3DS(filename)
elif fl.endswith(".wrl"):
importer = vtk.vtkVRMLImporter()
importer.SetFileName(filename)
importer.Read()
importer.Update()
actors = importer.GetRenderer().GetActors() #vtkActorCollection
actors.InitTraversal()
wacts = []
for i in range(actors.GetNumberOfItems()):
act = actors.GetNextActor()
wacts.append(act)
actor = Assembly(wacts)
################################################################# volumetric:
elif fl.endswith(".tif") or fl.endswith(".slc") or fl.endswith(".vti") \
or fl.endswith(".mhd") or fl.endswith(".nrrd") or fl.endswith(".nii") \
or fl.endswith(".dem"):
img = loadImageData(filename, spacing)
if threshold is False:
if c is None and alpha == 1:
c = ['b','lb','lg','y','r'] # good for blackboard background
alpha = (0.0, 0.0, 0.2, 0.4, 0.8, 1)
actor = Volume(img, c, alpha)
else:
actor = Volume(img).isosurface(threshold=threshold)
actor.color(c).alpha(alpha)
################################################################# 2D images:
elif fl.endswith(".png") or fl.endswith(".jpg") or fl.endswith(".bmp") or fl.endswith(".jpeg"):
if ".png" in fl:
picr = vtk.vtkPNGReader()
elif ".jpg" in fl or ".jpeg" in fl:
picr = vtk.vtkJPEGReader()
elif ".bmp" in fl:
picr = vtk.vtkBMPReader()
picr.SetFileName(filename)
picr.Update()
actor = Picture() # object derived from vtk.vtkImageActor()
actor.SetInputData(picr.GetOutput())
if alpha is None:
alpha = 1
actor.SetOpacity(alpha)
################################################################# multiblock:
elif fl.endswith(".vtm") or fl.endswith(".vtmb"):
read = vtk.vtkXMLMultiBlockDataReader()
read.SetFileName(filename)
read.Update()
mb = read.GetOutput()
if unpack:
acts = []
for i in range(mb.GetNumberOfBlocks()):
b = mb.GetBlock(i)
if isinstance(b, (vtk.vtkPolyData,
vtk.vtkImageData,
vtk.vtkUnstructuredGrid,
vtk.vtkStructuredGrid,
vtk.vtkRectilinearGrid)):
acts.append(b)
return acts
else:
return mb
################################################################# numpy:
elif fl.endswith(".npy"):
acts = loadNumpy(filename)
if unpack == False:
return Assembly(acts)
return acts
elif fl.endswith(".geojson") or fl.endswith(".geojson.gz"):
return loadGeoJSON(fl)
################################################################# polygonal mesh:
else:
if fl.endswith(".vtk"): # read all legacy vtk types
#output can be:
# PolyData, StructuredGrid, StructuredPoints, UnstructuredGrid, RectilinearGrid
reader = vtk.vtkDataSetReader()
reader.ReadAllScalarsOn()
reader.ReadAllVectorsOn()
reader.ReadAllTensorsOn()
reader.ReadAllFieldsOn()
reader.ReadAllNormalsOn()
reader.ReadAllColorScalarsOn()
elif fl.endswith(".ply"):
reader = vtk.vtkPLYReader()
elif fl.endswith(".obj"):
reader = vtk.vtkOBJReader()
elif fl.endswith(".stl"):
reader = vtk.vtkSTLReader()
elif fl.endswith(".byu") or fl.endswith(".g"):
reader = vtk.vtkBYUReader()
elif fl.endswith(".foam"): # OpenFoam
reader = vtk.vtkOpenFOAMReader()
elif fl.endswith(".pvd"):
reader = vtk.vtkXMLGenericDataObjectReader()
elif fl.endswith(".vtp"):
reader = vtk.vtkXMLPolyDataReader()
elif fl.endswith(".vts"):
reader = vtk.vtkXMLStructuredGridReader()
elif fl.endswith(".vtu"):
reader = vtk.vtkXMLUnstructuredGridReader()
elif fl.endswith(".vtr"):
reader = vtk.vtkXMLRectilinearGridReader()
elif fl.endswith(".pvtk"):
reader = vtk.vtkPDataSetReader()
elif fl.endswith(".pvtr"):
reader = vtk.vtkXMLPRectilinearGridReader()
elif fl.endswith("pvtu"):
reader = vtk.vtkXMLPUnstructuredGridReader()
elif fl.endswith(".txt") or fl.endswith(".xyz"):
reader = vtk.vtkParticleReader() # (format is x, y, z, scalar)
elif fl.endswith(".facet"):
reader = vtk.vtkFacetReader()
else:
return None
reader.SetFileName(filename)
reader.Update()
routput = reader.GetOutput()
if not routput:
colors.printc("~noentry Unable to load", filename, c=1)
return None
actor = Actor(routput, c, alpha)
if fl.endswith(".txt") or fl.endswith(".xyz"):
actor.GetProperty().SetPointSize(4)
actor.filename = filename
return actor
def trimesh2vtk(inputobj, alphaPerCell=False):
"""
Convert ``Trimesh`` object to ``Actor(vtkActor)`` or ``Assembly`` object.
"""
if isSequence(inputobj):
vms = []
for ob in inputobj:
vms.append(trimesh2vtk(ob))
return vms
# print('trimesh2vtk inputobj', type(inputobj))
inputobj_type = str(type(inputobj))
if "Trimesh" in inputobj_type or "primitives" in inputobj_type:
from vtkplotter import Actor
faces = inputobj.faces
poly = buildPolyData(inputobj.vertices, faces)
tact = Actor(poly)
if inputobj.visual.kind == "face":
trim_c = inputobj.visual.face_colors
else:
trim_c = inputobj.visual.vertex_colors
if isSequence(trim_c):
if isSequence(trim_c[0]):
sameColor = len(np.unique(
trim_c, axis=0)) < 2 # all vtxs have same color
trim_c = trim_c / 255
if sameColor:
tact.c(trim_c[0, [0, 1, 2]]).alpha(trim_c[0, 3])
else:
if inputobj.visual.kind == "face":
tact.cellColors(trim_c[:, [0, 1, 2]],
mode='colors',
alpha=trim_c[:, 3],
alphaPerCell=alphaPerCell)
else:
tact.pointColors(trim_c[:, [0, 1, 2]],
mode='colors',
alpha=trim_c[3])
return tact
elif "PointCloud" in inputobj_type:
from vtkplotter.shapes import Points
trim_cc, trim_al = "black", 1
if hasattr(inputobj, "vertices_color"):
trim_c = inputobj.vertices_color
if len(trim_c):
trim_cc = trim_c[:, [0, 1, 2]] / 255
trim_al = trim_c[:, 3] / 255
trim_al = np.sum(trim_al) / len(trim_al) # just the average
return Points(inputobj.vertices, r=8, c=trim_cc, alpha=trim_al)
elif "path" in inputobj_type:
from vtkplotter.shapes import Line
from vtkplotter.actors import Assembly
lines = []
for e in inputobj.entities:
# print('trimesh entity', e.to_dict())
l = Line(inputobj.vertices[e.points], c="k", lw=2)
lines.append(l)
return Assembly(lines)
return None
def addScalarBar3D(
obj=None,
at=0,
pos=(0, 0, 0),
normal=(0, 0, 1),
sx=0.1,
sy=2,
nlabels=9,
ncols=256,
cmap=None,
c=None,
alpha=1,
):
"""Draw a 3D scalar bar.
``obj`` input can be:
- a list of numbers,
- a list of two numbers in the form `(min, max)`,
- a ``vtkActor`` already containing a set of scalars associated to vertices or cells,
- if ``None`` the last actor in the list of actors will be used.
.. hint:: |scalbar| |mesh_coloring.py|_
"""
from vtk.util.numpy_support import vtk_to_numpy, numpy_to_vtk
vp = settings.plotter_instance
if c is None: # automatic black or white
c = (0.8, 0.8, 0.8)
if numpy.sum(colors.getColor(vp.backgrcol)) > 1.5:
c = (0.2, 0.2, 0.2)
c = colors.getColor(c)
gap = 0.4 # space btw nrs and scale
vtkscalars_name = ""
if obj is None:
obj = vp.lastActor()
if isinstance(obj, vtk.vtkActor):
poly = obj.GetMapper().GetInput()
vtkscalars = poly.GetPointData().GetScalars()
if vtkscalars is None:
vtkscalars = poly.GetCellData().GetScalars()
if vtkscalars is None:
print("Error in addScalarBar3D: actor has no scalar array.", [obj])
exit()
npscalars = vtk_to_numpy(vtkscalars)
vmin, vmax = numpy.min(npscalars), numpy.max(npscalars)
vtkscalars_name = vtkscalars.GetName().split("_")[-1]
elif utils.isSequence(obj):
vmin, vmax = numpy.min(obj), numpy.max(obj)
vtkscalars_name = "jet"
else:
print("Error in addScalarBar3D(): input must be vtkActor or list.",
type(obj))
exit()
if cmap is None:
cmap = vtkscalars_name
# build the color scale part
scale = shapes.Grid([-sx * gap, 0, 0],
c=c,
alpha=alpha,
sx=sx,
sy=sy,
resx=1,
resy=ncols)
scale.GetProperty().SetRepresentationToSurface()
cscals = scale.cellCenters()[:, 1]
def _cellColors(scale, scalars, cmap, alpha):
mapper = scale.GetMapper()
cpoly = mapper.GetInput()
n = len(scalars)
lut = vtk.vtkLookupTable()
lut.SetNumberOfTableValues(n)
lut.Build()
for i in range(n):
r, g, b = colors.colorMap(i, cmap, 0, n)
lut.SetTableValue(i, r, g, b, alpha)
arr = numpy_to_vtk(numpy.ascontiguousarray(scalars), deep=True)
vmin, vmax = numpy.min(scalars), numpy.max(scalars)
mapper.SetScalarRange(vmin, vmax)
mapper.SetLookupTable(lut)
mapper.ScalarVisibilityOn()
cpoly.GetCellData().SetScalars(arr)
_cellColors(scale, cscals, cmap, alpha)
# build text
nlabels = numpy.min([nlabels, ncols])
tlabs = numpy.linspace(vmin, vmax, num=nlabels, endpoint=True)
tacts = []
prec = (vmax - vmin) / abs(vmax + vmin) * 2
prec = int(3 + abs(numpy.log10(prec + 1)))
for i, t in enumerate(tlabs):
tx = utils.precision(t, prec)
y = -sy / 1.98 + sy * i / (nlabels - 1)
a = shapes.Text(tx,
pos=[sx * gap, y, 0],
s=sy / 50,
c=c,
alpha=alpha,
depth=0)
a.PickableOff()
tacts.append(a)
sact = Assembly([scale] + tacts)
nax = numpy.linalg.norm(normal)
if nax:
normal = numpy.array(normal) / nax
theta = numpy.arccos(normal[2])
phi = numpy.arctan2(normal[1], normal[0])
sact.RotateZ(numpy.rad2deg(phi))
sact.RotateY(numpy.rad2deg(theta))
sact.SetPosition(pos)
if not vp.renderers[at]:
save_int = vp.interactive
vp.show(interactive=0)
vp.interactive = save_int
vp.renderers[at].AddActor(sact)
vp.renderers[at].Render()
sact.PickableOff()
vp.scalarbars.append(sact)
if isinstance(obj, Actor):
obj.scalarbar_actor = sact
return sact
def fxy(
z="sin(3*x)*log(x-y)/3",
x=(0, 3),
y=(0, 3),
zlimits=(None, None),
showNan=True,
zlevels=10,
c="b",
bc="aqua",
alpha=1,
texture="paper",
res=(100, 100),
):
"""
Build a surface representing the function :math:`f(x,y)` specified as a string
or as a reference to an external function.
:param float x: x range of values.
:param float y: y range of values.
:param float zlimits: limit the z range of the independent variable.
:param int zlevels: will draw the specified number of z-levels contour lines.
:param bool showNan: show where the function does not exist as red points.
:param list res: resolution in x and y.
|fxy| |fxy.py|_
Function is: :math:`f(x,y)=\sin(3x) \cdot \log(x-y)/3` in range :math:`x=[0,3], y=[0,3]`.
"""
if isinstance(z, str):
try:
z = z.replace("math.", "").replace("np.", "")
namespace = locals()
code = "from math import*\ndef zfunc(x,y): return " + z
exec(code, namespace)
z = namespace["zfunc"]
except:
colors.printc("Syntax Error in fxy()", c=1)
return None
ps = vtk.vtkPlaneSource()
ps.SetResolution(res[0], res[1])
ps.SetNormal([0, 0, 1])
ps.Update()
poly = ps.GetOutput()
dx = x[1] - x[0]
dy = y[1] - y[0]
todel, nans = [], []
for i in range(poly.GetNumberOfPoints()):
px, py, _ = poly.GetPoint(i)
xv = (px + 0.5) * dx + x[0]
yv = (py + 0.5) * dy + y[0]
try:
zv = z(xv, yv)
except:
zv = 0
todel.append(i)
nans.append([xv, yv, 0])
poly.GetPoints().SetPoint(i, [xv, yv, zv])
if len(todel):
cellIds = vtk.vtkIdList()
poly.BuildLinks()
for i in todel:
poly.GetPointCells(i, cellIds)
for j in range(cellIds.GetNumberOfIds()):
poly.DeleteCell(cellIds.GetId(j)) # flag cell
poly.RemoveDeletedCells()
cl = vtk.vtkCleanPolyData()
cl.SetInputData(poly)
cl.Update()
poly = cl.GetOutput()
if not poly.GetNumberOfPoints():
colors.printc("Function is not real in the domain", c=1)
return None
if zlimits[0]:
tmpact1 = Actor(poly)
a = tmpact1.cutWithPlane((0, 0, zlimits[0]), (0, 0, 1))
poly = a.polydata()
if zlimits[1]:
tmpact2 = Actor(poly)
a = tmpact2.cutWithPlane((0, 0, zlimits[1]), (0, 0, -1))
poly = a.polydata()
if c is None:
elev = vtk.vtkElevationFilter()
elev.SetInputData(poly)
elev.Update()
poly = elev.GetOutput()
actor = Actor(poly, c, alpha).computeNormals().lighting("plastic")
if c is None:
actor.scalars("Elevation")
if bc:
actor.bc(bc)
actor.texture(texture)
acts = [actor]
if zlevels:
elevation = vtk.vtkElevationFilter()
elevation.SetInputData(poly)
bounds = poly.GetBounds()
elevation.SetLowPoint(0, 0, bounds[4])
elevation.SetHighPoint(0, 0, bounds[5])
elevation.Update()
bcf = vtk.vtkBandedPolyDataContourFilter()
bcf.SetInputData(elevation.GetOutput())
bcf.SetScalarModeToValue()
bcf.GenerateContourEdgesOn()
bcf.GenerateValues(zlevels, elevation.GetScalarRange())
bcf.Update()
zpoly = bcf.GetContourEdgesOutput()
zbandsact = Actor(zpoly, "k", alpha).lw(0.5)
acts.append(zbandsact)
if showNan and len(todel):
bb = actor.GetBounds()
if bb[4] <= 0 and bb[5] >= 0:
zm = 0.0
else:
zm = (bb[4] + bb[5]) / 2
nans = np.array(nans) + [0, 0, zm]
nansact = shapes.Points(nans, r=2, c="red", alpha=alpha)
nansact.GetProperty().RenderPointsAsSpheresOff()
acts.append(nansact)
if len(acts) > 1:
return Assembly(acts)
else:
return actor
def plotxy(
data,
xlimits=None,
ylimits=None,
xscale=1,
yscale=None,
xlogscale=False,
ylogscale=False,
c="k",
alpha=1,
xtitle="x",
ytitle="y",
title="",
titleSize=None,
lc="k",
lw=2,
dashed=False,
splined=False,
marker=None,
ms=None,
mc=None,
ma=None,
):
"""Draw a 2D plot of variable x vs y.
"""
if len(data) == 2 and len(data[0]) > 1 and len(data[0]) == len(data[1]):
data = np.c_[data[0], data[1]]
if xlimits is not None:
cdata = []
x0lim = xlimits[0]
x1lim = xlimits[1]
for d in data:
if d[0] > x0lim and d[0] < x1lim:
cdata.append(d)
data = cdata
if not len(data):
colors.printc("Error in plotxy(): no points within xlimits", c=1)
return None
if ylimits is not None:
cdata = []
y0lim = ylimits[0]
y1lim = ylimits[1]
for d in data:
if d[1] > y0lim and d[1] < y1lim:
cdata.append(d)
data = cdata
if not len(data):
colors.printc("Error in plotxy(): no points within ylimits", c=1)
return None
data = np.array(data)[:, [0, 1]]
if xlogscale:
data[:, 0] = np.log(data[:, 0])
if ylogscale:
data[:, 1] = np.log(data[:, 1])
x0, y0 = np.min(data, axis=0)
x1, y1 = np.max(data, axis=0)
if yscale is None:
yscale = (x1 - x0) / (y1 - y0) * 0.75 # default 3/4 aspect ratio
yscale = float(utils.precision(yscale, 1))
if abs(yscale - 1) > 0.2:
ytitle += " *" + str(yscale)
y0 *= yscale
y1 *= yscale
else:
yscale = 1
scale = np.array([[xscale, yscale]])
data = np.multiply(data, scale)
acts = []
if dashed:
l = shapes.DashedLine(data, lw=lw, spacing=20)
elif splined:
l = shapes.KSpline(data).lw(lw).c(lc)
else:
l = shapes.Line(data, lw=lw, c=lc)
acts.append(l)
if marker:
if ms is None:
ms = (x1 - x0) / 75.0
if mc is None:
mc = lc
mk = shapes.Marker(marker, s=ms, alpha=ma)
pts = shapes.Points(data)
marked = shapes.Glyph(pts, glyphObj=mk, c=mc)
acts.append(marked)
x0lim = x0
x1lim = x1
y0lim = y0 * yscale
y1lim = y1 * yscale
if xlimits is not None or ylimits is not None:
if xlimits is not None:
x0lim = min(xlimits[0], x0)
x1lim = max(xlimits[1], x1)
if ylimits is not None:
y0lim = min(ylimits[0] * yscale, y0)
y1lim = max(ylimits[1] * yscale, y1)
rec = shapes.Rectangle([x0lim, y0lim, 0], [x1lim, y1lim, 0])
rec.alpha(0).wireframe()
acts.append(rec)
if title:
if titleSize is None:
titleSize = (x1lim - x0lim) / 40.0
tit = shapes.Text(
title,
s=titleSize,
c=c,
depth=0,
alpha=alpha,
pos=((x1lim + x0lim) / 2.0, y1lim, 0),
justify="bottom-center",
)
tit.pickable(False)
acts.append(tit)
settings.xtitle = xtitle
settings.ytitle = ytitle
asse = Assembly(acts)
asse.info["yscale"] = yscale
return asse
def hexHistogram(
xvalues,
yvalues,
xtitle="",
ytitle="",
ztitle="",
bins=12,
norm=1,
fill=True,
c=None,
cmap="terrain_r",
alpha=1,
):
"""
Build a hexagonal histogram from a list of x and y values.
:param bool bins: nr of bins for the smaller range in x or y.
:param float norm: sets a scaling factor for the z axis (freq. axis).
:param bool fill: draw solid hexagons.
:param str cmap: color map name for elevation.
|histoHexagonal| |histoHexagonal.py|_
"""
if xtitle:
from vtkplotter import settings
settings.xtitle = xtitle
if ytitle:
from vtkplotter import settings
settings.ytitle = ytitle
if ztitle:
from vtkplotter import settings
settings.ztitle = ztitle
xmin, xmax = np.min(xvalues), np.max(xvalues)
ymin, ymax = np.min(yvalues), np.max(yvalues)
dx, dy = xmax - xmin, ymax - ymin
if xmax - xmin < ymax - ymin:
n = bins
m = np.rint(dy / dx * n / 1.2 + 0.5).astype(int)
else:
m = bins
n = np.rint(dx / dy * m * 1.2 + 0.5).astype(int)
src = vtk.vtkPointSource()
src.SetNumberOfPoints(len(xvalues))
src.Update()
pointsPolydata = src.GetOutput()
#values = list(zip(xvalues, yvalues))
values = np.stack((xvalues, yvalues), axis=1)
zs = [[0.0]] * len(values)
values = np.append(values, zs, axis=1)
pointsPolydata.GetPoints().SetData(numpy_to_vtk(values, deep=True))
cloud = Actor(pointsPolydata)
col = None
if c is not None:
col = colors.getColor(c)
hexs, binmax = [], 0
ki, kj = 1.33, 1.12
r = 0.47 / n * 1.2 * dx
for i in range(n + 3):
for j in range(m + 2):
cyl = vtk.vtkCylinderSource()
cyl.SetResolution(6)
cyl.CappingOn()
cyl.SetRadius(0.5)
cyl.SetHeight(0.1)
cyl.Update()
t = vtk.vtkTransform()
if not i % 2:
p = (i / ki, j / kj, 0)
else:
p = (i / ki, j / kj + 0.45, 0)
q = (p[0] / n * 1.2 * dx + xmin, p[1] / m * dy + ymin, 0)
ids = cloud.closestPoint(q, radius=r, returnIds=True)
ne = len(ids)
if fill:
t.Translate(p[0], p[1], ne / 2)
t.Scale(1, 1, ne * 10)
else:
t.Translate(p[0], p[1], ne)
t.RotateX(90) # put it along Z
tf = vtk.vtkTransformPolyDataFilter()
tf.SetInputData(cyl.GetOutput())
tf.SetTransform(t)
tf.Update()
if c is None:
col = i
h = Actor(tf.GetOutput(), c=col, alpha=alpha).flat()
h.GetProperty().SetSpecular(0)
h.GetProperty().SetDiffuse(1)
h.PickableOff()
hexs.append(h)
if ne > binmax:
binmax = ne
if cmap is not None:
for h in hexs:
z = h.GetBounds()[5]
col = colors.colorMap(z, cmap, 0, binmax)
h.color(col)
asse = Assembly(hexs)
asse.SetScale(1.2 / n * dx, 1 / m * dy, norm / binmax * (dx + dy) / 4)
asse.SetPosition(xmin, ymin, 0)
return asse
def histogram(
values,
xtitle="",
ytitle="",
bins=25,
vrange=None,
logscale=False,
yscale=None,
fill=True,
gap=0.02,
c="olivedrab",
alpha=1,
outline=True,
lw=2,
lc="black",
errors=False,
):
"""
Build a histogram from a list of values in n bins.
The resulting object is a 2D actor.
:param int bins: number of bins.
:param list vrange: restrict the range of the histogram.
:param bool logscale: use logscale on y-axis.
:param bool fill: fill bars woth solid color `c`.
:param float gap: leave a small space btw bars.
:param bool outline: show outline of the bins.
:param bool errors: show error bars.
|histogram| |histogram.py|_
"""
if xtitle:
from vtkplotter import settings
settings.xtitle = xtitle
if ytitle:
from vtkplotter import settings
settings.ytitle = ytitle
fs, edges = np.histogram(values, bins=bins, range=vrange)
if logscale:
fs = np.log10(fs + 1)
mine, maxe = np.min(edges), np.max(edges)
binsize = edges[1] - edges[0]
rs = []
if fill:
if outline:
gap = 0
for i in range(bins):
p0 = (edges[i] + gap * binsize, 0, 0)
p1 = (edges[i + 1] - gap * binsize, fs[i], 0)
r = shapes.Rectangle(p0, p1)
r.color(c).alpha(alpha).lighting("ambient")
rs.append(r)
if outline:
lns = [[mine, 0, 0]]
for i in range(bins):
lns.append([edges[i], fs[i], 0])
lns.append([edges[i + 1], fs[i], 0])
lns.append([maxe, 0, 0])
rs.append(shapes.Line(lns, c=lc, alpha=alpha, lw=lw))
if errors:
errs = np.sqrt(fs)
for i in range(bins):
x = (edges[i] + edges[i + 1]) / 2
el = shapes.Line(
[x, fs[i] - errs[i] / 2, 0.1 * binsize],
[x, fs[i] + errs[i] / 2, 0.1 * binsize],
c=lc,
alpha=alpha,
lw=lw,
)
pt = shapes.Point([x, fs[i], 0.1 * binsize],
r=7,
c=lc,
alpha=alpha)
rs.append(el)
rs.append(pt)
asse = Assembly(rs)
if yscale is None:
yscale = 10 / np.sum(fs) * (maxe - mine)
asse.scale([1, yscale, 1])
return asse
def addAxes(axtype=None, c=None):
"""Draw axes on scene. Available axes types:
:param int axtype:
- 0, no axes,
- 1, draw three gray grid walls
- 2, show cartesian axes from (0,0,0)
- 3, show positive range of cartesian axes from (0,0,0)
- 4, show a triad at bottom left
- 5, show a cube at bottom left
- 6, mark the corners of the bounding box
- 7, draw a simple ruler at the bottom of the window
- 8, show the ``vtkCubeAxesActor`` object
- 9, show the bounding box outLine
- 10, show three circles representing the maximum bounding box
"""
vp = settings.plotter_instance
if axtype is not None:
vp.axes = axtype # overrride
r = vp.renderers.index(vp.renderer)
if not vp.axes:
return
if c is None: # automatic black or white
c = (0.9, 0.9, 0.9)
if numpy.sum(vp.renderer.GetBackground()) > 1.5:
c = (0.1, 0.1, 0.1)
if not vp.renderer:
return
if vp.axes_exist[r]:
return
# calculate max actors bounds
bns = []
for a in vp.actors:
if a and a.GetPickable():
b = a.GetBounds()
if b:
bns.append(b)
if len(bns):
max_bns = numpy.max(bns, axis=0)
min_bns = numpy.min(bns, axis=0)
vbb = (min_bns[0], max_bns[1], min_bns[2], max_bns[3], min_bns[4],
max_bns[5])
else:
vbb = vp.renderer.ComputeVisiblePropBounds()
max_bns = vbb
min_bns = vbb
sizes = (max_bns[1] - min_bns[0], max_bns[3] - min_bns[2],
max_bns[5] - min_bns[4])
############################################################
if vp.axes == 1 or vp.axes == True: # gray grid walls
nd = 4 # number of divisions in the smallest axis
off = -0.04 # label offset
step = numpy.min(sizes) / nd
if not step:
# bad proportions, use vtkCubeAxesActor
vp.addAxes(axtype=8, c=c)
vp.axes = 1
return
rx, ry, rz = numpy.rint(sizes / step).astype(int)
if max([rx / ry, ry / rx, rx / rz, rz / rx, ry / rz, rz / ry]) > 15:
# bad proportions, use vtkCubeAxesActor
vp.addAxes(axtype=8, c=c)
vp.axes = 1
return
gxy = shapes.Grid(pos=(0.5, 0.5, 0),
normal=[0, 0, 1],
bc=None,
resx=rx,
resy=ry)
gxz = shapes.Grid(pos=(0.5, 0, 0.5),
normal=[0, 1, 0],
bc=None,
resx=rz,
resy=rx)
gyz = shapes.Grid(pos=(0, 0.5, 0.5),
normal=[1, 0, 0],
bc=None,
resx=rz,
resy=ry)
gxy.alpha(0.06).wire(False).color(c).lineWidth(1)
gxz.alpha(0.04).wire(False).color(c).lineWidth(1)
gyz.alpha(0.04).wire(False).color(c).lineWidth(1)
xa = shapes.Line([0, 0, 0], [1, 0, 0], c=c, lw=1)
ya = shapes.Line([0, 0, 0], [0, 1, 0], c=c, lw=1)
za = shapes.Line([0, 0, 0], [0, 0, 1], c=c, lw=1)
xt, yt, zt, ox, oy, oz = [None] * 6
if vp.xtitle:
xtitle = vp.xtitle
if min_bns[0] <= 0 and max_bns[1] > 0: # mark x origin
ox = shapes.Cube([-min_bns[0] / sizes[0], 0, 0],
side=0.008,
c=c)
if len(vp.xtitle) == 1: # add axis length info
xtitle = vp.xtitle + " /" + utils.precision(sizes[0], 4)
wpos = [1 - (len(vp.xtitle) + 1) / 40, off, 0]
xt = shapes.Text(xtitle,
pos=wpos,
normal=(0, 0, 1),
s=0.025,
c=c,
justify="bottom-right")
if vp.ytitle:
if min_bns[2] <= 0 and max_bns[3] > 0: # mark y origin
oy = shapes.Cube([0, -min_bns[2] / sizes[1], 0],
side=0.008,
c=c)
yt = shapes.Text(vp.ytitle,
pos=(0, 0, 0),
normal=(0, 0, 1),
s=0.025,
c=c,
justify="bottom-right")
if len(vp.ytitle) == 1:
wpos = [off, 1 - (len(vp.ytitle) + 1) / 40, 0]
yt.pos(wpos)
else:
wpos = [off * 0.7, 1 - (len(vp.ytitle) + 1) / 40, 0]
yt.rotateZ(90).pos(wpos)
if vp.ztitle:
if min_bns[4] <= 0 and max_bns[5] > 0: # mark z origin
oz = shapes.Cube([0, 0, -min_bns[4] / sizes[2]],
side=0.008,
c=c)
zt = shapes.Text(vp.ztitle,
pos=(0, 0, 0),
normal=(1, -1, 0),
s=0.025,
c=c,
justify="bottom-right")
if len(vp.ztitle) == 1:
wpos = [off * 0.6, off * 0.6, 1 - (len(vp.ztitle) + 1) / 40]
zt.rotate(90, (1, -1, 0)).pos(wpos)
else:
wpos = [off * 0.3, off * 0.3, 1 - (len(vp.ztitle) + 1) / 40]
zt.rotate(180, (1, -1, 0)).pos(wpos)
acts = [gxy, gxz, gyz, xa, ya, za, xt, yt, zt, ox, oy, oz]
for a in acts:
if a:
a.PickableOff()
aa = Assembly(acts)
aa.pos(min_bns[0], min_bns[2], min_bns[4])
aa.SetScale(sizes)
aa.PickableOff()
vp.renderer.AddActor(aa)
vp.axes_exist[r] = aa
elif vp.axes == 2 or vp.axes == 3:
vbb = vp.renderer.ComputeVisiblePropBounds() # to be double checked
xcol, ycol, zcol = "db", "dg", "dr"
s = 1
alpha = 1
centered = False
x0, x1, y0, y1, z0, z1 = vbb
dx, dy, dz = x1 - x0, y1 - y0, z1 - z0
aves = numpy.sqrt(dx * dx + dy * dy + dz * dz) / 2
x0, x1 = min(x0, 0), max(x1, 0)
y0, y1 = min(y0, 0), max(y1, 0)
z0, z1 = min(z0, 0), max(z1, 0)
if vp.axes == 3:
if x1 > 0:
x0 = 0
if y1 > 0:
y0 = 0
if z1 > 0:
z0 = 0
dx, dy, dz = x1 - x0, y1 - y0, z1 - z0
acts = []
if x0 * x1 <= 0 or y0 * z1 <= 0 or z0 * z1 <= 0: # some ranges contain origin
zero = shapes.Sphere(r=aves / 120 * s, c="k", alpha=alpha, res=10)
acts += [zero]
if len(vp.xtitle) and dx > aves / 100:
xl = shapes.Cylinder([[x0, 0, 0], [x1, 0, 0]],
r=aves / 250 * s,
c=xcol,
alpha=alpha)
xc = shapes.Cone(pos=[x1, 0, 0],
c=xcol,
alpha=alpha,
r=aves / 100 * s,
height=aves / 25 * s,
axis=[1, 0, 0],
res=10)
wpos = [
x1 - (len(vp.xtitle) + 1) * aves / 40 * s, -aves / 25 * s, 0
] # aligned to arrow tip
if centered:
wpos = [(x0 + x1) / 2 - len(vp.xtitle) / 2 * aves / 40 * s,
-aves / 25 * s, 0]
xt = shapes.Text(vp.xtitle,
pos=wpos,
normal=(0, 0, 1),
s=aves / 40 * s,
c=xcol)
acts += [xl, xc, xt]
if len(vp.ytitle) and dy > aves / 100:
yl = shapes.Cylinder([[0, y0, 0], [0, y1, 0]],
r=aves / 250 * s,
c=ycol,
alpha=alpha)
yc = shapes.Cone(pos=[0, y1, 0],
c=ycol,
alpha=alpha,
r=aves / 100 * s,
height=aves / 25 * s,
axis=[0, 1, 0],
res=10)
wpos = [
-aves / 40 * s, y1 - (len(vp.ytitle) + 1) * aves / 40 * s, 0
]
if centered:
wpos = [
-aves / 40 * s,
(y0 + y1) / 2 - len(vp.ytitle) / 2 * aves / 40 * s, 0
]
yt = shapes.Text(vp.ytitle,
pos=(0, 0, 0),
normal=(0, 0, 1),
s=aves / 40 * s,
c=ycol)
yt.rotate(90, [0, 0, 1]).pos(wpos)
acts += [yl, yc, yt]
if len(vp.ztitle) and dz > aves / 100:
zl = shapes.Cylinder([[0, 0, z0], [0, 0, z1]],
r=aves / 250 * s,
c=zcol,
alpha=alpha)
zc = shapes.Cone(pos=[0, 0, z1],
c=zcol,
alpha=alpha,
r=aves / 100 * s,
height=aves / 25 * s,
axis=[0, 0, 1],
res=10)
wpos = [
-aves / 50 * s, -aves / 50 * s,
z1 - (len(vp.ztitle) + 1) * aves / 40 * s
]
if centered:
wpos = [
-aves / 50 * s, -aves / 50 * s,
(z0 + z1) / 2 - len(vp.ztitle) / 2 * aves / 40 * s
]
zt = shapes.Text(vp.ztitle,
pos=(0, 0, 0),
normal=(1, -1, 0),
s=aves / 40 * s,
c=zcol)
zt.rotate(180, (1, -1, 0)).pos(wpos)
acts += [zl, zc, zt]
for a in acts:
a.PickableOff()
ass = Assembly(acts)
ass.PickableOff()
vp.renderer.AddActor(ass)
vp.axes_exist[r] = ass
elif vp.axes == 4:
axact = vtk.vtkAxesActor()
axact.SetShaftTypeToCylinder()
axact.SetCylinderRadius(0.03)
axact.SetXAxisLabelText(vp.xtitle)
axact.SetYAxisLabelText(vp.ytitle)
axact.SetZAxisLabelText(vp.ztitle)
axact.GetXAxisShaftProperty().SetColor(0, 0, 1)
axact.GetZAxisShaftProperty().SetColor(1, 0, 0)
axact.GetXAxisTipProperty().SetColor(0, 0, 1)
axact.GetZAxisTipProperty().SetColor(1, 0, 0)
bc = numpy.array(vp.renderer.GetBackground())
if numpy.sum(bc) < 1.5:
lc = (1, 1, 1)
else:
lc = (0, 0, 0)
axact.GetXAxisCaptionActor2D().GetCaptionTextProperty().BoldOff()
axact.GetYAxisCaptionActor2D().GetCaptionTextProperty().BoldOff()
axact.GetZAxisCaptionActor2D().GetCaptionTextProperty().BoldOff()
axact.GetXAxisCaptionActor2D().GetCaptionTextProperty().ItalicOff()
axact.GetYAxisCaptionActor2D().GetCaptionTextProperty().ItalicOff()
axact.GetZAxisCaptionActor2D().GetCaptionTextProperty().ItalicOff()
axact.GetXAxisCaptionActor2D().GetCaptionTextProperty().ShadowOff()
axact.GetYAxisCaptionActor2D().GetCaptionTextProperty().ShadowOff()
axact.GetZAxisCaptionActor2D().GetCaptionTextProperty().ShadowOff()
axact.GetXAxisCaptionActor2D().GetCaptionTextProperty().SetColor(lc)
axact.GetYAxisCaptionActor2D().GetCaptionTextProperty().SetColor(lc)
axact.GetZAxisCaptionActor2D().GetCaptionTextProperty().SetColor(lc)
axact.PickableOff()
icn = addIcon(axact, size=0.1)
vp.axes_exist[r] = icn
elif vp.axes == 5:
axact = vtk.vtkAnnotatedCubeActor()
axact.GetCubeProperty().SetColor(0.75, 0.75, 0.75)
axact.SetTextEdgesVisibility(0)
axact.SetFaceTextScale(0.4)
axact.GetXPlusFaceProperty().SetColor(colors.getColor("b"))
axact.GetXMinusFaceProperty().SetColor(colors.getColor("db"))
axact.GetYPlusFaceProperty().SetColor(colors.getColor("g"))
axact.GetYMinusFaceProperty().SetColor(colors.getColor("dg"))
axact.GetZPlusFaceProperty().SetColor(colors.getColor("r"))
axact.GetZMinusFaceProperty().SetColor(colors.getColor("dr"))
axact.PickableOff()
icn = addIcon(axact, size=0.06)
vp.axes_exist[r] = icn
elif vp.axes == 6:
ocf = vtk.vtkOutlineCornerFilter()
ocf.SetCornerFactor(0.1)
largestact, sz = None, -1
for a in vp.actors:
if a.GetPickable():
b = a.GetBounds()
d = max(b[1] - b[0], b[3] - b[2], b[5] - b[4])
if sz < d:
largestact = a
sz = d
if isinstance(largestact, Assembly):
ocf.SetInputData(largestact.getActor(0).GetMapper().GetInput())
else:
ocf.SetInputData(largestact.polydata())
ocf.Update()
ocMapper = vtk.vtkHierarchicalPolyDataMapper()
ocMapper.SetInputConnection(0, ocf.GetOutputPort(0))
ocActor = vtk.vtkActor()
ocActor.SetMapper(ocMapper)
bc = numpy.array(vp.renderer.GetBackground())
if numpy.sum(bc) < 1.5:
lc = (1, 1, 1)
else:
lc = (0, 0, 0)
ocActor.GetProperty().SetColor(lc)
ocActor.PickableOff()
vp.renderer.AddActor(ocActor)
vp.axes_exist[r] = ocActor
elif vp.axes == 7:
# draws a simple ruler at the bottom of the window
ls = vtk.vtkLegendScaleActor()
ls.RightAxisVisibilityOff()
ls.TopAxisVisibilityOff()
ls.LegendVisibilityOff()
ls.LeftAxisVisibilityOff()
ls.GetBottomAxis().SetNumberOfMinorTicks(1)
ls.GetBottomAxis().GetProperty().SetColor(c)
ls.GetBottomAxis().GetLabelTextProperty().SetColor(c)
ls.GetBottomAxis().GetLabelTextProperty().BoldOff()
ls.GetBottomAxis().GetLabelTextProperty().ItalicOff()
ls.GetBottomAxis().GetLabelTextProperty().ShadowOff()
ls.PickableOff()
vp.renderer.AddActor(ls)
vp.axes_exist[r] = ls
elif vp.axes == 8:
ca = vtk.vtkCubeAxesActor()
ca.SetBounds(vbb)
if vp.camera:
ca.SetCamera(vp.camera)
else:
ca.SetCamera(vp.renderer.GetActiveCamera())
ca.GetXAxesLinesProperty().SetColor(c)
ca.GetYAxesLinesProperty().SetColor(c)
ca.GetZAxesLinesProperty().SetColor(c)
for i in range(3):
ca.GetLabelTextProperty(i).SetColor(c)
ca.GetTitleTextProperty(i).SetColor(c)
ca.SetTitleOffset(5)
ca.SetFlyMode(3)
ca.SetXTitle(vp.xtitle)
ca.SetYTitle(vp.ytitle)
ca.SetZTitle(vp.ztitle)
if vp.xtitle == "":
ca.SetXAxisVisibility(0)
ca.XAxisLabelVisibilityOff()
if vp.ytitle == "":
ca.SetYAxisVisibility(0)
ca.YAxisLabelVisibilityOff()
if vp.ztitle == "":
ca.SetZAxisVisibility(0)
ca.ZAxisLabelVisibilityOff()
ca.PickableOff()
vp.renderer.AddActor(ca)
vp.axes_exist[r] = ca
return
elif vp.axes == 9:
src = vtk.vtkCubeSource()
src.SetXLength(vbb[1] - vbb[0])
src.SetYLength(vbb[3] - vbb[2])
src.SetZLength(vbb[5] - vbb[4])
src.Update()
ca = Actor(src.GetOutput(), c=c, alpha=0.5, wire=1)
ca.pos((vbb[0] + vbb[1]) / 2, (vbb[3] + vbb[2]) / 2,
(vbb[5] + vbb[4]) / 2)
ca.PickableOff()
vp.renderer.AddActor(ca)
vp.axes_exist[r] = ca
elif vp.axes == 10:
x0 = (vbb[0] + vbb[1]) / 2, (vbb[3] + vbb[2]) / 2, (vbb[5] +
vbb[4]) / 2
rx, ry, rz = (vbb[1] - vbb[0]) / 2, (vbb[3] - vbb[2]) / 2, (vbb[5] -
vbb[4]) / 2
rm = max(rx, ry, rz)
xc = shapes.Disc(x0, (0, 0, 1),
r1=rm,
r2=rm,
c='lr',
bc=None,
res=1,
resphi=72)
yc = shapes.Disc(x0, (0, 1, 0),
r1=rm,
r2=rm,
c='lg',
bc=None,
res=1,
resphi=72)
zc = shapes.Disc(x0, (1, 0, 0),
r1=rm,
r2=rm,
c='lb',
bc=None,
res=1,
resphi=72)
xc.clean().alpha(0.2).wire().lineWidth(2.5).PickableOff()
yc.clean().alpha(0.2).wire().lineWidth(2.5).PickableOff()
zc.clean().alpha(0.2).wire().lineWidth(2.5).PickableOff()
ca = xc + yc + zc
ca.PickableOff()
vp.renderer.AddActor(ca)
vp.axes_exist[r] = ca
else:
colors.printc('~bomb Keyword axes must be in range [0-10].', c=1)
colors.printc('''
~target Available axes types:
0 = no axes,
1 = draw three gray grid walls
2 = show cartesian axes from (0,0,0)
3 = show positive range of cartesian axes from (0,0,0)
4 = show a triad at bottom left
5 = show a cube at bottom left
6 = mark the corners of the bounding box
7 = draw a simple ruler at the bottom of the window
8 = show the vtkCubeAxesActor object
9 = show the bounding box outline
10 = show three circles representing the maximum bounding box
''',
c=1,
bold=0)
if not vp.axes_exist[r]:
vp.axes_exist[r] = True
return
def smoothMLS1D(actor, f=0.2, showNLines=0):
'''
Smooth actor or points with a Moving Least Squares variant.
The list actor.variances contain the residue calculated for each point.
Input actor's polydata is modified.
Options:
f, smoothing factor - typical range s [0,2]
showNLines, build an actor showing the fitting line for N random points
[**Example1**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/moving_least_squares1D.py)
[**Example2**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/skeletonize.py)
'''
coords = actor.coordinates()
ncoords = len(coords)
Ncp = int(ncoords*f/10)
nshow = int(ncoords)
if showNLines:
ndiv = int(nshow/showNLines)
if Ncp < 3:
vc.printc('Please choose a higher fraction than '+str(f), c=1)
Ncp = 3
poly = actor.polydata(True)
vpts = poly.GetPoints()
locator = vtk.vtkPointLocator()
locator.SetDataSet(poly)
locator.BuildLocator()
vtklist = vtk.vtkIdList()
variances, newline, acts = [], [], []
for i, p in enumerate(coords):
locator.FindClosestNPoints(Ncp, p, vtklist)
points = []
for j in range(vtklist.GetNumberOfIds()):
trgp = [0, 0, 0]
vpts.GetPoint(vtklist.GetId(j), trgp)
points.append(trgp)
if len(points) < 2:
continue
points = np.array(points)
pointsmean = points.mean(axis=0) # plane center
uu, dd, vv = np.linalg.svd(points-pointsmean)
newp = np.dot(p-pointsmean, vv[0])*vv[0] + pointsmean
variances.append(dd[1]+dd[2])
newline.append(newp)
if showNLines and not i % ndiv:
fline = fitLine(points, lw=4, alpha=1) # fitting plane
iapts = vs.points(points) # blue points
acts += [fline, iapts]
for i in range(ncoords):
vpts.SetPoint(i, newline[i])
if showNLines:
apts = vs.points(newline, c='r 0.6', r=2)
ass = Assembly([apts]+acts)
return ass # NB: a demo actor is returned
actor.info['variances'] = np.array(variances)
return actor # NB: original actor is modified
def smoothMLS2D(actor, f=0.2, decimate=1, recursive=0, showNPlanes=0):
'''
Smooth actor or points with a Moving Least Squares variant.
The list actor.variances contain the residue calculated for each point.
Input actor's polydata is modified.
Options:
f, smoothing factor - typical range s [0,2]
decimate, decimation factor (an integer number)
recursive, move points while algorithm proceedes
showNPlanes, build an actor showing the fitting plane for N random points
[**Example1**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/mesh_smoothers.py)
[**Example2**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/moving_least_squares2D.py)
[**Example3**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/recosurface.py)
'''
coords = actor.coordinates()
ncoords = len(coords)
Ncp = int(ncoords*f/100)
nshow = int(ncoords/decimate)
if showNPlanes:
ndiv = int(nshow/showNPlanes*decimate)
if Ncp < 5:
vc.printc('Please choose a higher fraction than '+str(f), c=1)
Ncp = 5
print('smoothMLS: Searching #neighbours, #pt:', Ncp, ncoords)
poly = actor.polydata(True)
vpts = poly.GetPoints()
locator = vtk.vtkPointLocator()
locator.SetDataSet(poly)
locator.BuildLocator()
vtklist = vtk.vtkIdList()
variances, newsurf, acts = [], [], []
pb = vio.ProgressBar(0, ncoords)
for i, p in enumerate(coords):
pb.print('smoothing...')
if i % decimate:
continue
locator.FindClosestNPoints(Ncp, p, vtklist)
points = []
for j in range(vtklist.GetNumberOfIds()):
trgp = [0, 0, 0]
vpts.GetPoint(vtklist.GetId(j), trgp)
points.append(trgp)
if len(points) < 5:
continue
points = np.array(points)
pointsmean = points.mean(axis=0) # plane center
uu, dd, vv = np.linalg.svd(points-pointsmean)
a, b, c = np.cross(vv[0], vv[1]) # normal
d, e, f = pointsmean # plane center
x, y, z = p
t = (a*d - a*x + b*e - b*y + c*f - c*z) # /(a*a+b*b+c*c)
newp = [x+t*a, y+t*b, z+t*c]
variances.append(dd[2])
newsurf.append(newp)
if recursive:
vpts.SetPoint(i, newp)
if showNPlanes and not i % ndiv:
plane = fitPlane(points, alpha=0.3) # fitting plane
iapts = vs.points(points) # blue points
acts += [plane, iapts]
if decimate == 1 and not recursive:
for i in range(ncoords):
vpts.SetPoint(i, newsurf[i])
actor.info['variances'] = np.array(variances)
if showNPlanes:
apts = vs.points(newsurf, c='r 0.6', r=2)
ass = Assembly([apts]+acts)
return ass # NB: a demo actor is returned
return actor # NB: original actor is modified
def pca(points, pvalue=.95, c='c', alpha=0.5, pcaAxes=False, legend=None):
'''
Show the oriented PCA ellipsoid that contains fraction pvalue of points.
axes = True, show the 3 PCA semi axes
Extra info is stored in actor.sphericity, actor.va, actor.vb, actor.vc
(sphericity = 1 for a perfect sphere)
[**Example1**](https://github.com/marcomusy/vtkplotter/blob/master/examples/tutorial.py)
[**Example2**](https://github.com/marcomusy/vtkplotter/blob/master/examples/advanced/cell_main.py)
'''
try:
from scipy.stats import f
except:
vc.printc("Error in ellipsoid(): scipy not installed. Skip.", c=1)
return None
if isinstance(points, vtk.vtkActor):
points = points.coordinates()
if len(points) == 0:
return None
P = np.array(points, ndmin=2, dtype=float)
cov = np.cov(P, rowvar=0) # covariance matrix
U, s, R = np.linalg.svd(cov) # singular value decomposition
p, n = s.size, P.shape[0]
fppf = f.ppf(pvalue, p, n-p)*(n-1)*p*(n+1)/n/(n-p) # f % point function
ua, ub, uc = np.sqrt(s*fppf)*2 # semi-axes (largest first)
center = np.mean(P, axis=0) # centroid of the hyperellipsoid
sphericity = ( ((ua-ub)/(ua+ub))**2
+ ((ua-uc)/(ua+uc))**2
+ ((ub-uc)/(ub+uc))**2)/3. * 4.
elliSource = vtk.vtkSphereSource()
elliSource.SetThetaResolution(48)
elliSource.SetPhiResolution(48)
matri = vtk.vtkMatrix4x4()
matri.DeepCopy((R[0][0] * ua, R[1][0] * ub, R[2][0] * uc, center[0],
R[0][1] * ua, R[1][1] * ub, R[2][1] * uc, center[1],
R[0][2] * ua, R[1][2] * ub, R[2][2] * uc, center[2], 0, 0, 0, 1))
vtra = vtk.vtkTransform()
vtra.SetMatrix(matri)
ftra = vtk.vtkTransformFilter()
ftra.SetTransform(vtra)
ftra.SetInputConnection(elliSource.GetOutputPort())
ftra.Update()
actor_elli = Actor(ftra.GetOutput(), c, alpha, legend=legend)
actor_elli.GetProperty().BackfaceCullingOn()
actor_elli.GetProperty().SetInterpolationToPhong()
if pcaAxes:
axs = []
for ax in ([1, 0, 0], [0, 1, 0], [0, 0, 1]):
l = vtk.vtkLineSource()
l.SetPoint1([0, 0, 0])
l.SetPoint2(ax)
l.Update()
t = vtk.vtkTransformFilter()
t.SetTransform(vtra)
t.SetInputData(l.GetOutput())
t.Update()
axs.append(Actor(t.GetOutput(), c, alpha).lineWidth(3))
finact = Assembly([actor_elli]+axs, legend=legend)
else:
finact = actor_elli
finact.info['sphericity'] = sphericity
finact.info['va'] = ua
finact.info['vb'] = ub
finact.info['vc'] = uc
return finact
def fxy(z='sin(3*x)*log(x-y)/3', x=[0, 3], y=[0, 3],
zlimits=[None, None], showNan=True, zlevels=10, wire=False,
c='b', bc='aqua', alpha=1, legend=True, texture=None, res=100):
'''
Build a surface representing the 3D function specified as a string
or as a reference to an external function.
Red points indicate where the function does not exist (showNan).
zlevels will draw the specified number of z-levels contour lines.
[**Example**](https://github.com/marcomusy/vtkplotter/blob/master/examples/basic/fxy.py)
'''
if isinstance(z, str):
try:
z = z.replace('math.', '').replace('np.', '')
namespace = locals()
code = "from math import*\ndef zfunc(x,y): return "+z
exec(code, namespace)
z = namespace['zfunc']
except:
vc.printc('Syntax Error in fxy()', c=1)
return None
ps = vtk.vtkPlaneSource()
ps.SetResolution(res, res)
ps.SetNormal([0, 0, 1])
ps.Update()
poly = ps.GetOutput()
dx = x[1]-x[0]
dy = y[1]-y[0]
todel, nans = [], []
if zlevels:
tf = vtk.vtkTriangleFilter()
tf.SetInputData(poly)
tf.Update()
poly = tf.GetOutput()
for i in range(poly.GetNumberOfPoints()):
px, py, _ = poly.GetPoint(i)
xv = (px+.5)*dx+x[0]
yv = (py+.5)*dy+y[0]
try:
zv = z(xv, yv)
poly.GetPoints().SetPoint(i, [xv, yv, zv])
except:
todel.append(i)
nans.append([xv, yv, 0])
if len(todel):
cellIds = vtk.vtkIdList()
poly.BuildLinks()
for i in todel:
poly.GetPointCells(i, cellIds)
for j in range(cellIds.GetNumberOfIds()):
poly.DeleteCell(cellIds.GetId(j)) # flag cell
poly.RemoveDeletedCells()
cl = vtk.vtkCleanPolyData()
cl.SetInputData(poly)
cl.Update()
poly = cl.GetOutput()
if not poly.GetNumberOfPoints():
vc.printc('Function is not real in the domain', c=1)
return None
if zlimits[0]:
tmpact1 = Actor(poly)
a = tmpact1.cutPlane((0, 0, zlimits[0]), (0, 0, 1))
poly = a.polydata()
if zlimits[1]:
tmpact2 = Actor(poly)
a = tmpact2.cutPlane((0, 0, zlimits[1]), (0, 0, -1))
poly = a.polydata()
if c is None:
elev = vtk.vtkElevationFilter()
elev.SetInputData(poly)
elev.Update()
poly = elev.GetOutput()
actor = Actor(poly, c=c, bc=bc, alpha=alpha, wire=wire,
legend=legend, texture=texture)
acts = [actor]
if zlevels:
elevation = vtk.vtkElevationFilter()
elevation.SetInputData(poly)
bounds = poly.GetBounds()
elevation.SetLowPoint( 0, 0, bounds[4])
elevation.SetHighPoint(0, 0, bounds[5])
elevation.Update()
bcf = vtk.vtkBandedPolyDataContourFilter()
bcf.SetInputData(elevation.GetOutput())
bcf.SetScalarModeToValue()
bcf.GenerateContourEdgesOn()
bcf.GenerateValues(zlevels, elevation.GetScalarRange())
bcf.Update()
zpoly = bcf.GetContourEdgesOutput()
zbandsact = Actor(zpoly, c='k', alpha=alpha)
zbandsact.GetProperty().SetLineWidth(1.5)
acts.append(zbandsact)
if showNan and len(todel):
bb = actor.GetBounds()
zm = (bb[4]+bb[5])/2
nans = np.array(nans)+[0, 0, zm]
nansact = vs.points(nans, c='red', alpha=alpha/2)
acts.append(nansact)
if len(acts) > 1:
asse = Assembly(acts)
return asse
else:
return actor
def polarHistogram(
values,
title="",
bins=10,
r1=0.25,
r2=1,
phigap=3,
rgap=0.05,
lpos=1,
lsize=0.05,
c=None,
bc="k",
alpha=1,
cmap=None,
deg=False,
vmin=None,
vmax=None,
labels=(),
showDisc=True,
showLines=True,
showAngles=True,
showErrors=False,
):
"""
Polar histogram with errorbars.
:param str title: histogram title
:param int bins: number of bins in phi
:param float r1: inner radius
:param float r2: outer radius
:param float phigap: gap angle btw 2 radial bars, in degrees
:param float rgap: gap factor along radius of numeric angle labels
:param float lpos: label gap factor along radius
:param float lsize: label size
:param c: color of the histogram bars, can be a list of length `bins`.
:param bc: color of the frame and labels
:param alpha: alpha of the frame
:param str cmap: color map name
:param bool deg: input array is in degrees
:param float vmin: minimum value of the radial axis
:param float vmax: maximum value of the radial axis
:param list labels: list of labels, must be of length `bins`
:param bool showDisc: show the outer ring axis
:param bool showLines: show lines to the origin
:param bool showAngles: show angular values
:param bool showErrors: show error bars
|polarHisto| |polarHisto.py|_
"""
k = 180 / np.pi
if deg:
values = np.array(values) / k
dp = np.pi / bins
vals = []
for v in values: # normalize range
t = np.arctan2(np.sin(v), np.cos(v))
if t < 0:
t += 2 * np.pi
vals.append(t - dp)
histodata, edges = np.histogram(vals,
bins=bins,
range=(-dp, 2 * np.pi - dp))
thetas = []
for i in range(bins):
thetas.append((edges[i] + edges[i + 1]) / 2)
if vmin is None:
vmin = np.min(histodata)
if vmax is None:
vmax = np.max(histodata)
errors = np.sqrt(histodata)
r2e = r1 + r2
if showErrors:
r2e += np.max(errors) / vmax * 1.5
back = None
if showDisc:
back = shapes.Disc(r1=r2e, r2=r2e * 1.01, c=bc, res=1, resphi=360)
back.z(-0.01).lighting(diffuse=0, ambient=1).alpha(alpha)
slices = []
lines = []
angles = []
labs = []
errbars = []
for i, t in enumerate(thetas):
r = histodata[i] / vmax * r2
d = shapes.Disc((0, 0, 0), r1, r1 + r, res=1, resphi=360)
delta = dp - np.pi / 2 - phigap / k
d.cutWithPlane(normal=(np.cos(t + delta), np.sin(t + delta), 0))
d.cutWithPlane(normal=(np.cos(t - delta), np.sin(t - delta), 0))
if cmap is not None:
cslice = colors.colorMap(histodata[i], cmap, vmin, vmax)
d.color(cslice)
else:
if c is None:
d.color(i)
elif utils.isSequence(c) and len(c) == bins:
d.color(c[i])
else:
d.color(c)
slices.append(d)
ct, st = np.cos(t), np.sin(t)
if showErrors:
showLines = False
err = np.sqrt(histodata[i]) / vmax * r2
errl = shapes.Line(
((r1 + r - err) * ct, (r1 + r - err) * st, 0.01),
((r1 + r + err) * ct, (r1 + r + err) * st, 0.01),
)
errl.alpha(alpha).lw(3).color(bc)
errbars.append(errl)
if showDisc:
if showLines:
l = shapes.Line((0, 0, -0.01),
(r2e * ct * 1.03, r2e * st * 1.03, -0.01))
lines.append(l)
elif showAngles: # just the ticks
l = shapes.Line(
(r2e * ct * 0.98, r2e * st * 0.98, -0.01),
(r2e * ct * 1.03, r2e * st * 1.03, -0.01),
)
lines.append(l)
if showAngles:
if 0 <= t < np.pi / 2:
ju = "bottom-left"
elif t == np.pi / 2:
ju = "bottom-center"
elif np.pi / 2 < t <= np.pi:
ju = "bottom-right"
elif np.pi < t < np.pi * 3 / 2:
ju = "top-right"
elif t == np.pi * 3 / 2:
ju = "top-center"
else:
ju = "top-left"
a = shapes.Text(int(t * k),
pos=(0, 0, 0),
s=lsize,
depth=0,
justify=ju)
a.pos(r2e * ct * (1 + rgap), r2e * st * (1 + rgap), -0.01)
angles.append(a)
if len(labels) == bins:
lab = shapes.Text(labels[i], (0, 0, 0),
s=lsize,
depth=0,
justify="center")
lab.pos(r2e * ct * (1 + rgap) * lpos / 2,
r2e * st * (1 + rgap) * lpos / 2, 0.01)
labs.append(lab)
ti = None
if title:
ti = shapes.Text(title, (0, 0, 0),
s=lsize * 2,
depth=0,
justify="top-center")
ti.pos(0, -r2e * 1.15, 0.01)
mrg = merge(back, lines, angles, labs, ti)
if mrg:
mrg.color(bc).alpha(alpha).lighting(diffuse=0, ambient=1)
rh = Assembly(slices + errbars + [mrg])
rh.base = np.array([0, 0, 0])
rh.top = np.array([0, 0, 1])
return rh
def loadNumpy(inobj):
import numpy as np
if isinstance(inobj, str):
data = np.load(inobj, allow_pickle=True, encoding='latin1').flatten()[0]
else:
data = inobj
def loadcommon(obj, d):
keys = d.keys()
if 'time' in keys: obj.time(d['time'])
if 'transform' in keys and len(d['transform']) == 4:
vm = vtk.vtkMatrix4x4()
for i in [0, 1, 2, 3]:
for j in [0, 1, 2, 3]:
vm.SetElement(i, j, d['transform'][i,j])
obj.setTransform(vm)
elif 'position' in keys:
obj.pos(d['position'])
if hasattr(obj, 'GetProperty'):
prp = obj.GetProperty()
if 'ambient' in keys: prp.SetAmbient(d['ambient'])
if 'diffuse' in keys: prp.SetDiffuse(d['diffuse'])
##################
def _buildactor(d):
vertices = d['points']
cells = None
lines = None
keys = d.keys()
if 'cells' in keys:
cells = d['cells']
if 'lines' in keys:
lines = d['lines']
poly = utils.buildPolyData(vertices, cells, lines)
act = Actor(poly)
loadcommon(act, d)
act.mapper.ScalarVisibilityOff()
if 'celldata' in keys:
for csc, cscname in d['celldata']:
act.addCellScalars(csc, cscname)
if not 'normal' in cscname.lower():
act.scalars(cscname) # activate
if 'pointdata' in keys:
for psc, pscname in d['pointdata']:
act.addPointScalars(psc, pscname)
if not 'normal' in pscname.lower():
act.scalars(pscname) # activate
prp = act.GetProperty()
if 'specular' in keys: prp.SetSpecular(d['specular'])
if 'specularpower' in keys: prp.SetSpecularPower(d['specularpower'])
if 'specularcolor' in keys: prp.SetSpecularColor(d['specularcolor'])
if 'shading' in keys: prp.SetInterpolation(d['shading'])
if 'alpha' in keys: prp.SetOpacity(d['alpha'])
if 'opacity' in keys: prp.SetOpacity(d['opacity']) # synomym
if 'pointsize' in keys and d['pointsize']: prp.SetPointSize(d['pointsize'])
if 'texture' in keys and d['texture']: act.texture(d['texture'])
if 'linewidth' in keys and d['linewidth']: act.lineWidth(d['linewidth'])
if 'linecolor' in keys and d['linecolor']: act.lineColor(d['linecolor'])
if 'representation' in keys: prp.SetRepresentation(d['representation'])
if 'color' in keys and d['color']: act.color(d['color'])
if 'backColor' in keys and d['backColor']: act.backColor(d['backColor'])
if 'activedata' in keys and d['activedata'] is not None:
act.mapper.ScalarVisibilityOn()
if d['activedata'][0] == 'celldata':
poly.GetCellData().SetActiveScalars(d['activedata'][1])
if d['activedata'][0] == 'pointdata':
poly.GetPointData().SetActiveScalars(d['activedata'][1])
return act
##################
objs = []
for d in data:
#print('loadNumpy type is:', d['type'])
if 'mesh' == d['type']:
objs.append(_buildactor(d))
elif 'assembly' == d['type']:
assacts = []
for ad in d['actors']:
assacts.append(_buildactor(ad))
asse = Assembly(assacts)
loadcommon(asse, d)
objs.append(asse)
elif 'image' == d['type']:
shp = d['shape'][1], d['shape'][0]
arr0 = d['array']
rcv = arr0[:,0].reshape(shp)
gcv = arr0[:,1].reshape(shp)
bcv = arr0[:,2].reshape(shp)
arr = np.array([rcv, gcv, bcv])
arr = np.swapaxes(arr, 0, 2)
vimg = Picture(arr)
loadcommon(vimg, d)
objs.append(vimg)
elif 'volume' == d['type']:
vol = Volume(d['array'])
loadcommon(vol, d)
vol.jittering(d['jittering'])
vol.mode(d['mode'])
vol.color(d['color'])
vol.alpha(d['alpha'])
vol.alphaGradient(d['alphagrad'])
objs.append(vol)
if len(objs) == 1:
return objs[0]
elif len(objs) == 0:
return None
else:
return objs
def polarPlot(
rphi,
title="",
r1=0,
r2=1,
lpos=1,
lsize=0.03,
c="blue",
bc="k",
alpha=1,
lw=3,
deg=False,
vmax=None,
fill=True,
spline=True,
smooth=0,
showPoints=True,
showDisc=True,
showLines=True,
showAngles=True,
):
"""
Polar/radar plot by splining a set of points in polar coordinates.
Input is a list of polar angles and radii.
:param str title: histogram title
:param int bins: number of bins in phi
:param float r1: inner radius
:param float r2: outer radius
:param float lsize: label size
:param c: color of the line
:param bc: color of the frame and labels
:param alpha: alpha of the frame
:param int lw: line width in pixels
:param bool deg: input array is in degrees
:param bool fill: fill convex area with solid color
:param bool spline: interpolate the set of input points
:param bool showPoints: show data points
:param bool showDisc: show the outer ring axis
:param bool showLines: show lines to the origin
:param bool showAngles: show angular values
|polarPlot| |polarPlot.py|_
"""
if len(rphi) == 2:
#rphi = list(zip(rphi[0], rphi[1]))
rphi = np.stack((rphi[0], rphi[1]), axis=1)
rphi = np.array(rphi)
thetas = rphi[:, 0]
radii = rphi[:, 1]
k = 180 / np.pi
if deg:
thetas = np.array(thetas) / k
vals = []
for v in thetas: # normalize range
t = np.arctan2(np.sin(v), np.cos(v))
if t < 0:
t += 2 * np.pi
vals.append(t)
thetas = np.array(vals)
if vmax is None:
vmax = np.max(radii)
angles = []
labs = []
points = []
for i in range(len(thetas)):
t = thetas[i]
r = (radii[i]) / vmax * r2 + r1
ct, st = np.cos(t), np.sin(t)
points.append([r * ct, r * st, 0])
p0 = points[0]
points.append(p0)
r2e = r1 + r2
if spline:
lines = shapes.KSpline(points, closed=True)
else:
lines = shapes.Line(points)
lines.c(c).lw(lw).alpha(alpha)
points.pop()
ptsact = None
if showPoints:
ptsact = shapes.Points(points).c(c).alpha(alpha)
filling = None
if fill:
faces = []
coords = [[0, 0, 0]] + lines.coordinates().tolist()
for i in range(1, lines.N()):
faces.append([0, i, i + 1])
filling = Actor([coords, faces]).c(c).alpha(alpha)
back = None
if showDisc:
back = shapes.Disc(r1=r2e, r2=r2e * 1.01, c=bc, res=1, resphi=360)
back.z(-0.01).lighting(diffuse=0, ambient=1).alpha(alpha)
ti = None
if title:
ti = shapes.Text(title, (0, 0, 0),
s=lsize * 2,
depth=0,
justify="top-center")
ti.pos(0, -r2e * 1.15, 0.01)
rays = []
if showDisc:
rgap = 0.05
for t in np.linspace(0, 2 * np.pi, num=8, endpoint=False):
ct, st = np.cos(t), np.sin(t)
if showLines:
l = shapes.Line((0, 0, -0.01),
(r2e * ct * 1.03, r2e * st * 1.03, -0.01))
rays.append(l)
elif showAngles: # just the ticks
l = shapes.Line(
(r2e * ct * 0.98, r2e * st * 0.98, -0.01),
(r2e * ct * 1.03, r2e * st * 1.03, -0.01),
)
if showAngles:
if 0 <= t < np.pi / 2:
ju = "bottom-left"
elif t == np.pi / 2:
ju = "bottom-center"
elif np.pi / 2 < t <= np.pi:
ju = "bottom-right"
elif np.pi < t < np.pi * 3 / 2:
ju = "top-right"
elif t == np.pi * 3 / 2:
ju = "top-center"
else:
ju = "top-left"
a = shapes.Text(int(t * k),
pos=(0, 0, 0),
s=lsize,
depth=0,
justify=ju)
a.pos(r2e * ct * (1 + rgap), r2e * st * (1 + rgap), -0.01)
angles.append(a)
mrg = merge(back, angles, rays, labs, ti)
if mrg:
mrg.color(bc).alpha(alpha).lighting(diffuse=0, ambient=1)
rh = Assembly([lines, ptsact, filling] + [mrg])
rh.base = np.array([0, 0, 0])
rh.top = np.array([0, 0, 1])
return rh
def plotxy(
data,
xerrors=None,
yerrors=None,
xlimits=None,
ylimits=None,
xscale=1,
yscale=None,
xlogscale=False,
ylogscale=False,
c="k",
alpha=1,
xtitle="x",
ytitle="y",
title="",
titleSize=None,
ec=None,
lc="k",
lw=2,
line=True,
dashed=False,
splined=False,
marker=None,
ms=None,
mc=None,
ma=None,
):
"""Draw a 2D plot of variable x vs y.
:param list data: input format can be [allx, ally] or [(x1,y1), (x2,y2), ...]
:param list xerrors: set uncertainties for the x variable, shown as error bars.
:param list yerrors: set uncertainties for the y variable, shown as error bars.
:param list xlimits: set limits to the range for the x variable
:param list ylimits: set limits to the range for the y variable
:param float xscale: set scaling factor in x. Default is 1.
:param float yscale: set scaling factor in y. Automatically calculated to get
a reasonable aspect ratio. Scaling factor is saved in `info['yscale']`.
:param bool xlogscale: set x logarithmic scale.
:param bool ylogscale: set y logarithmic scale.
:param str c: color of frame and text.
:param float alpha: opacity of frame and text.
:param str xtitle: title label along x-axis.
:param str ytitle: title label along y-axis.
:param str title: histogram title on top.
:param float titleSize: size of title
:param str ec: color of error bar, by default the same as marker color
:param str lc: color of line
:param float lw: width of line
:param bool line: join points with line
:param bool dashed: use a dashed line style
:param bool splined: spline the line joining the point as a countinous curve
:param str,int marker: use a marker shape for the data points
:param float ms: marker size.
:param str mc: color of marker
:param float ma: opacity of marker
|plotxy| |plotxy.py|_
"""
if len(data) == 2 and len(data[0]) > 1 and len(data[0]) == len(data[1]):
#format is [allx, ally], convert it:
data = np.c_[data[0], data[1]]
if xlimits is not None:
cdata = []
x0lim = xlimits[0]
x1lim = xlimits[1]
for d in data:
if d[0] > x0lim and d[0] < x1lim:
cdata.append(d)
data = cdata
if not len(data):
colors.printc("Error in plotxy(): no points within xlimits", c=1)
return None
if ylimits is not None:
cdata = []
y0lim = ylimits[0]
y1lim = ylimits[1]
for d in data:
if d[1] > y0lim and d[1] < y1lim:
cdata.append(d)
data = cdata
if not len(data):
colors.printc("Error in plotxy(): no points within ylimits", c=1)
return None
data = np.array(data)[:, [0, 1]]
if xlogscale:
data[:, 0] = np.log(data[:, 0])
if ylogscale:
data[:, 1] = np.log(data[:, 1])
x0, y0 = np.min(data, axis=0)
x1, y1 = np.max(data, axis=0)
if yscale is None:
yscale = (x1 - x0) / (y1 - y0) * 0.75 # default 3/4 aspect ratio
yscale = float(utils.precision(yscale, 1))
if abs(yscale - 1) > 0.2:
ytitle += " *" + str(yscale)
y0 *= yscale
y1 *= yscale
else:
yscale = 1
scale = np.array([[xscale, yscale]])
data = np.multiply(data, scale)
acts = []
if dashed:
l = shapes.DashedLine(data, lw=lw, spacing=20)
acts.append(l)
elif splined:
l = shapes.KSpline(data).lw(lw).c(lc)
acts.append(l)
elif line:
l = shapes.Line(data, lw=lw, c=lc)
acts.append(l)
if marker:
if ms is None:
ms = (x1 - x0) / 75.0
if mc is None:
mc = lc
mk = shapes.Marker(marker, s=ms, alpha=ma)
pts = shapes.Points(data)
marked = shapes.Glyph(pts, glyphObj=mk, c=mc)
acts.append(marked)
if ec is None:
if mc is not None:
ec = mc
else:
ec = lc
offs = (x1 - x0) / 1000
if yerrors is not None:
if len(yerrors) != len(data):
colors.printc(
"Error in plotxy(yerrors=...): mismatched array length.", c=1)
return None
errs = []
for i in range(len(data)):
xval, yval = data[i]
yerr = yerrors[i] / 2 * yscale
errs.append(
shapes.Line((xval, yval - yerr, offs),
(xval, yval + yerr, offs)))
myerrs = merge(errs).c(ec).lw(lw).alpha(alpha)
acts.append(myerrs)
if xerrors is not None:
if len(xerrors) != len(data):
colors.printc(
"Error in plotxy(xerrors=...): mismatched array length.", c=1)
return None
errs = []
for i in range(len(data)):
xval, yval = data[i]
xerr = xerrors[i] / 2
errs.append(
shapes.Line((xval - xerr, yval, offs),
(xval + xerr, yval, offs)))
mxerrs = merge(errs).c(ec).lw(lw).alpha(alpha)
acts.append(mxerrs)
x0lim = x0
x1lim = x1
y0lim = y0 * yscale
y1lim = y1 * yscale
if xlimits is not None or ylimits is not None:
if xlimits is not None:
x0lim = min(xlimits[0], x0)
x1lim = max(xlimits[1], x1)
if ylimits is not None:
y0lim = min(ylimits[0] * yscale, y0)
y1lim = max(ylimits[1] * yscale, y1)
rec = shapes.Rectangle([x0lim, y0lim, 0], [x1lim, y1lim, 0])
rec.alpha(0).wireframe()
acts.append(rec)
if title:
if titleSize is None:
titleSize = (x1lim - x0lim) / 40.0
tit = shapes.Text(
title,
s=titleSize,
c=c,
depth=0,
alpha=alpha,
pos=((x1lim + x0lim) / 2.0, y1lim, 0),
justify="bottom-center",
)
tit.pickable(False)
acts.append(tit)
settings.xtitle = xtitle
settings.ytitle = ytitle
asse = Assembly(acts)
asse.info["yscale"] = yscale
return asse
def histogram2D(xvalues, yvalues, bins=12, norm=1, c='g', alpha=1, fill=False):
'''
Build a 2D hexagonal histogram from a list of x and y values.
bins, nr of bins for the smaller range in x or y
norm, sets a scaling factor for the z axis
fill, draw solid hexagons
'''
xmin, xmax = np.min(xvalues), np.max(xvalues)
ymin, ymax = np.min(yvalues), np.max(yvalues)
dx, dy = xmax-xmin, ymax-ymin
if xmax-xmin < ymax - ymin:
n = bins
m = np.rint(dy/dx*n/1.2+.5).astype(int)
else:
m = bins
n = np.rint(dx/dy*m*1.2+.5).astype(int)
src = vtk.vtkPointSource()
src.SetNumberOfPoints(len(xvalues))
src.Update()
pointsPolydata = src.GetOutput()
values = list(zip(xvalues, yvalues))
zs = [[0.0]]*len(values)
values = np.append(values, zs, axis=1)
pointsPolydata.GetPoints().SetData(numpy_to_vtk(values, deep=True))
cloud = Actor(pointsPolydata)
c1 = vc.getColor(c)
c2 = np.array(c1)*.7
r = 0.47/n*1.2*dx
hexs, binmax = [], 0
for i in range(n+3):
for j in range(m+2):
cyl = vtk.vtkCylinderSource()
cyl.SetResolution(6)
cyl.CappingOn()
cyl.SetRadius(0.5)
cyl.SetHeight(0.1)
cyl.Update()
t = vtk.vtkTransform()
if not i%2:
p = (i/1.33, j/1.12, 0)
c = c1
else:
p = (i/1.33, j/1.12+0.443, 0)
c = c2
q = (p[0]/n*1.2*dx+xmin, p[1]/m*dy+ymin, 0)
ids = cloud.closestPoint(q, radius=r, returnIds=True)
ne = len(ids)
if fill:
t.Translate(p[0], p[1], ne/2)
t.Scale(1, 1, ne*5)
else:
t.Translate(p[0], p[1], ne)
t.RotateX(90) # put it along Z
tf = vtk.vtkTransformPolyDataFilter()
tf.SetInputData(cyl.GetOutput())
tf.SetTransform(t)
tf.Update()
h = Actor(tf.GetOutput(), c=c, alpha=alpha)
h.PickableOff()
hexs.append(h)
if ne > binmax:
binmax = ne
asse = Assembly(hexs)
asse.PickableOff()
asse.SetScale(1/n*1.2*dx, 1/m*dy, norm/binmax*(dx+dy)/4)
asse.SetPosition(xmin,ymin,0)
return asse
