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 loadNumpy(inobj):
"""Load a vtkplotter format file."""
if isinstance(inobj, str):
data = np.load(inobj, allow_pickle=True, encoding='latin1')
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):
#print('_buildactor', d)
vertices = d['points']
if not len(vertices):
return None
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 = Mesh(poly)
loadcommon(act, d)
act.mapper().ScalarVisibilityOff()
if 'celldata' in keys:
for csc, cscname in d['celldata']:
act.addCellScalars(csc, cscname)
if 'normal' not in cscname.lower():
act.getCellArray(cscname) # activate
if 'pointdata' in keys:
for psc, pscname in d['pointdata']:
act.addPointScalars(psc, pscname)
if 'normal' not in pscname.lower():
act.getPointArray(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']) # synonym
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:', d)
if 'mesh' == d['type']:
a = _buildactor(d)
if a:
objs.append(a)
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 _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)
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.vtkUnstructuredGrid,
vtk.vtkStructuredGrid,
vtk.vtkRectilinearGrid)):
acts.append(Mesh(b, c=c, alpha=alpha))
if isinstance(b, vtk.vtkImageData):
acts.append(Volume(b))
return acts
else:
return mb
################################################################# numpy:
elif fl.endswith(".npy"):
acts = loadNumpy(filename)
if unpack is False:
return Assembly(acts)
return acts
elif fl.endswith(".geojson") or fl.endswith(".geojson.gz"):
return loadGeoJSON(fl)
elif fl.endswith(".pvd"):
return loadPVD(fl)
elif fl.endswith(".pdb"):
return loadPDB(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 = Mesh(routput, c, alpha)
if fl.endswith(".txt") or fl.endswith(".xyz"):
actor.GetProperty().SetPointSize(4)
actor.filename = filename
return actor
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 = Mesh(poly)
a = tmpact1.cutWithPlane((0, 0, zlimits[0]), (0, 0, 1))
poly = a.polydata()
if zlimits[1]:
tmpact2 = Mesh(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()
mesh = Mesh(poly, c, alpha).computeNormals().lighting("plastic")
if c is None:
mesh.getPointArray("Elevation")
if bc:
mesh.bc(bc)
mesh.texture(texture)
acts = [mesh]
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 = Mesh(zpoly, "k", alpha).lw(0.5)
acts.append(zbandsact)
if showNan and len(todel):
bb = mesh.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 mesh
def trimesh2vtk(inputobj, alphaPerCell=False):
"""
Convert ``Trimesh`` object to ``Mesh(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 Mesh
faces = inputobj.faces
poly = buildPolyData(inputobj.vertices, faces)
tact = Mesh(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.assembly 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 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.points().tolist()
for i in range(1, lines.N()):
faces.append([0, i, i + 1])
filling = Mesh([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 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 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 = Mesh(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 = Mesh(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 an ``Assembly``.
: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 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