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from vtkmodules.vtkCommonColor import (
vtkColorSeries,
vtkNamedColors
)
from vtkmodules.vtkCommonComputationalGeometry import (
vtkParametricRandomHills,
vtkParametricTorus
)
from vtkmodules.vtkCommonCore import (
vtkDoubleArray,
vtkFloatArray,
vtkLookupTable,
vtkPoints,
vtkVariant,
vtkVariantArray,
vtkVersion
)
from vtkmodules.vtkCommonDataModel import vtkPolyData
from vtkmodules.vtkCommonTransforms import vtkTransform
from vtkmodules.vtkFiltersCore import (
vtkCleanPolyData,
vtkDelaunay2D,
vtkElevationFilter,
vtkGlyph3D,
vtkMaskPoints,
vtkPolyDataNormals,
vtkReverseSense,
vtkTriangleFilter
)
from vtkmodules.vtkFiltersGeneral import vtkTransformPolyDataFilter
from vtkmodules.vtkFiltersModeling import vtkBandedPolyDataContourFilter
from vtkmodules.vtkFiltersSources import (
vtkArrowSource,
vtkParametricFunctionSource,
vtkPlaneSource,
vtkSphereSource,
vtkSuperquadricSource
)
from vtkmodules.vtkInteractionStyle import vtkInteractorStyleTrackballCamera
from vtkmodules.vtkInteractionWidgets import vtkCameraOrientationWidget
from vtkmodules.vtkRenderingAnnotation import vtkScalarBarActor
from vtkmodules.vtkRenderingCore import (
vtkActor,
vtkColorTransferFunction,
vtkPolyDataMapper,
vtkRenderWindow,
vtkRenderWindowInteractor,
vtkRenderer
)
# noinspection PyUnresolvedReferences
import vtkmodules.vtkRenderingOpenGL2
# ------------------------------------------------------------
# Create the surface, lookup tables, contour filter etc.
# ------------------------------------------------------------
# desired_surface = 'Hills'
# desired_surface = 'ParametricTorus'
# desired_surface = 'Plane'
# desired_surface = 'Sphere'
# desired_surface = 'Torus'
source = get_source(desired_surface)
if not source:
print('The surface is not available.')
# The length of the normal arrow glyphs.
scale_factor = 1.0
if desired_surface == 'Hills':
scale_factor = 0.5
elif desired_surface == 'Sphere':
scale_factor = 2.0
source.GetPointData().SetActiveScalars('Elevation')
scalar_range = source.GetPointData().GetScalars('Elevation').GetRange()
lut = get_categorical_lut()
lut1 = get_ordinal_lut()
lut.SetTableRange(scalar_range)
lut1.SetTableRange(scalar_range)
number_of_bands = lut.GetNumberOfTableValues()
lut.SetNumberOfTableValues(number_of_bands)
precision = 10
bands = get_bands(scalar_range, number_of_bands, precision, False)
if desired_surface == 'RandomHills':
# These are my custom bands.
# Generated by first running:
# bands = get_bands(scalar_range, number_of_bands, precision, False)
# freq = get_frequencies(bands, source)
# print_bands_frequencies(bands, freq)
# Finally using the output to create this table:
my_bands = [
[0, 1.0], [1.0, 2.0], [2.0, 3.0],
[3.0, 4.0], [4.0, 5.0], [5.0, 6.0],
[6.0, 7.0], [7.0, 8.0]]
# Comment this out if you want to see how allocating
# equally spaced bands works.
bands = get_custom_bands(scalar_range, number_of_bands, my_bands)
# bands = get_bands(scalar_range, number_of_bands, precision, False)
# Let's do a frequency table.
# The number of scalars in each band.
freq = get_frequencies(bands, source)
bands, freq = adjust_ranges(bands, freq)
print_bands_frequencies(bands, freq)
scalar_range = (bands[0][0], bands[len(bands) - 1][2])
lut.SetTableRange(scalar_range)
lut.SetNumberOfTableValues(len(bands))
lut1.SetNumberOfTableValues(len(bands))
# We will use the midpoint of the band as the label.
labels = []
for k in bands:
labels.append('{:4.2f}'.format(bands[k][1]))
values.InsertNextValue(vtkVariant(labels[i]))
for i in range(values.GetNumberOfTuples()):
lut.SetAnnotation(i, values.GetValue(i).ToString())
# Create a lookup table with the colors reversed.
lutr = reverse_lut(lut)
# Create the contour bands.
bcf = vtkBandedPolyDataContourFilter()
bcf.SetInputData(source)
# Use either the minimum or maximum value for each band.
for i in range(len(bands)):
bcf.SetValue(i, bands[i][2])
# We will use an indexed lookup table.
bcf.SetScalarModeToIndex()
bcf.GenerateContourEdgesOn()
# Generate the glyphs on the original surface.
glyph = get_glyphs(source, scale_factor, False)
# ------------------------------------------------------------
# Create the mappers and actors
# ------------------------------------------------------------
# Set the background color.
colors.SetColor('BkgColor', [179, 204, 255, 255])
colors.SetColor("ParaViewBkg", [82, 87, 110, 255])
src_mapper = vtkPolyDataMapper()
src_mapper.SetInputConnection(bcf.GetOutputPort())
src_mapper.SetScalarRange(scalar_range)
src_mapper.SetLookupTable(lut)
src_mapper.SetScalarModeToUseCellData()
src_actor.SetMapper(src_mapper)
# Create contour edges
edge_mapper = vtkPolyDataMapper()
edge_mapper.SetInputData(bcf.GetContourEdgesOutput())
edge_mapper.SetResolveCoincidentTopologyToPolygonOffset()
edge_actor.SetMapper(edge_mapper)
edge_actor.GetProperty().SetColor(colors.GetColor3d('Black'))
glyph_mapper = vtkPolyDataMapper()
glyph_mapper.SetInputConnection(glyph.GetOutputPort())
glyph_mapper.SetScalarModeToUsePointFieldData()
glyph_mapper.SetColorModeToMapScalars()
glyph_mapper.ScalarVisibilityOn()
glyph_mapper.SelectColorArray('Elevation')
# Colour by scalars.
glyph_mapper.SetLookupTable(lut1)
glyph_mapper.SetScalarRange(scalar_range)
glyph_actor.SetMapper(glyph_mapper)
window_width = 800
window_height = 800
# Add a scalar bar.
scalar_bar = vtkScalarBarActor()
# This LUT puts the lowest value at the top of the scalar bar.
# scalar_bar->SetLookupTable(lut);
# Use this LUT if you want the highest value at the top.
scalar_bar.SetLookupTable(lutr)
scalar_bar.SetTitle('Elevation')
scalar_bar.GetTitleTextProperty().SetColor(
colors.GetColor3d('AliceBlue'))
scalar_bar.GetLabelTextProperty().SetColor(
colors.GetColor3d('AliceBlue'))
scalar_bar.GetAnnotationTextProperty().SetColor(
colors.GetColor3d('AliceBlue'))
scalar_bar.UnconstrainedFontSizeOn()
scalar_bar.SetMaximumWidthInPixels(window_width // 8)
scalar_bar.SetMaximumHeightInPixels(window_height // 3)
scalar_bar.SetPosition(0.85, 0.05)
# ------------------------------------------------------------
# Create the RenderWindow, Renderer and Interactor
# ------------------------------------------------------------
ren = vtkRenderer()
ren_win = vtkRenderWindow()
iren = vtkRenderWindowInteractor()
style = vtkInteractorStyleTrackballCamera()
iren.SetInteractorStyle(style)
ren_win.AddRenderer(ren)
# Important: The interactor must be set prior to enabling the widget.
iren.SetRenderWindow(ren_win)
if vtk_version_ok(9, 0, 20210718):
cam_orient_manipulator = vtkCameraOrientationWidget()
cam_orient_manipulator = vtkCameraOrientationWidget()
cam_orient_manipulator.SetParentRenderer(ren)
# Enable the widget.
cam_orient_manipulator.On()
# add actors
ren.AddViewProp(src_actor)
ren.AddViewProp(edge_actor)
ren.AddViewProp(glyph_actor)
ren.AddActor2D(scalar_bar)
ren.SetBackground(colors.GetColor3d('ParaViewBkg'))
ren_win.SetSize(window_width, window_height)
ren_win.SetWindowName('ElevationBandsWithGlyphs')
if desired_surface == "RandomHills":
camera = ren.GetActiveCamera()
camera.SetPosition(10.9299, 59.1505, 24.9823)
camera.SetFocalPoint(2.21692, 7.97545, 7.75135)
camera.SetViewUp(-0.230136, 0.345504, -0.909761)
camera.SetDistance(54.6966)
camera.SetClippingRange(36.3006, 77.9852)
ren_win.Render()
iren.Start()
def vtk_version_ok(major, minor, build):
"""
Check the VTK version.
:param major: Requested major version.
:param minor: Requested minor version.
:param build: Requested build version.
:return: True if the requested VTK version is >= the actual VTK version.
"""
requested_version = (100 * int(major) + int(minor)) * 100000000 + int(build)
ver = vtkVersion()
actual_version = (100 * ver.GetVTKMajorVersion() + ver.GetVTKMinorVersion()) \
* 100000000 + ver.GetVTKBuildVersion()
if actual_version >= requested_version:
return True
else:
return False
Generate elevations over the surface.
:param: src - the vtkPolyData source.
:return: - vtkPolyData source with elevations.
"""
bounds = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
if abs(bounds[2]) < 1.0e-8 and abs(bounds[3]) < 1.0e-8:
bounds[3] = bounds[2] + 1
elev_filter = vtkElevationFilter()
elev_filter.SetInputData(src)
elev_filter.SetLowPoint(0, bounds[2], 0)
elev_filter.SetHighPoint(0, bounds[3], 0)
elev_filter.SetScalarRange(bounds[2], bounds[3])
elev_filter.Update()
return elev_filter.GetPolyDataOutput()
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def get_hills():
# Create four hills on a plane.
# This will have regions of negative, zero and positive Gsaussian curvatures.
x_res = 50
y_res = 50
x_min = -5.0
x_max = 5.0
dx = (x_max - x_min) / (x_res - 1)
y_min = -5.0
y_max = 5.0
dy = (y_max - y_min) / (x_res - 1)
# Make a grid.
points = vtkPoints()
for i in range(0, x_res):
x = x_min + i * dx
for j in range(0, y_res):
y = y_min + j * dy
points.InsertNextPoint(x, y, 0)
# Add the grid points to a polydata object.
plane = vtkPolyData()
plane.SetPoints(points)
# Triangulate the grid.
delaunay = vtkDelaunay2D()
delaunay.SetInputData(plane)
delaunay.Update()
polydata = delaunay.GetOutput()
elevation = vtkDoubleArray()
elevation.SetNumberOfTuples(points.GetNumberOfPoints())
# We define the parameters for the hills here.
# [[0: x0, 1: y0, 2: x variance, 3: y variance, 4: amplitude]...]
hd = [[-2.5, -2.5, 2.5, 6.5, 3.5], [2.5, 2.5, 2.5, 2.5, 2],
[5.0, -2.5, 1.5, 1.5, 2.5], [-5.0, 5, 2.5, 3.0, 3]]
xx = [0.0] * 2
for i in range(0, points.GetNumberOfPoints()):
x = list(polydata.GetPoint(i))
for j in range(0, len(hd)):
xx[0] = (x[0] - hd[j][0] / hd[j][2]) ** 2.0
xx[1] = (x[1] - hd[j][1] / hd[j][3]) ** 2.0
x[2] += hd[j][4] * math.exp(-(xx[0] + xx[1]) / 2.0)
polydata.GetPoints().SetPoint(i, x)
elevation.SetValue(i, x[2])
textures = vtkFloatArray()
textures.SetNumberOfComponents(2)
textures.SetNumberOfTuples(2 * polydata.GetNumberOfPoints())
textures.SetName("Textures")
for i in range(0, x_res):
tc = [i / (x_res - 1.0), 0.0]
for j in range(0, y_res):
# tc[1] = 1.0 - j / (y_res - 1.0)
tc[1] = j / (y_res - 1.0)
textures.SetTuple(i * y_res + j, tc)
polydata.GetPointData().SetScalars(elevation)
polydata.GetPointData().GetScalars().SetName("Elevation")
polydata.GetPointData().SetTCoords(textures)
normals = vtkPolyDataNormals()
normals.SetInputData(polydata)
normals.SetInputData(polydata)
normals.SetFeatureAngle(30)
normals.SplittingOff()
tr1 = vtkTransform()
tr1.RotateX(-90)
tf1 = vtkTransformPolyDataFilter()
tf1.SetInputConnection(normals.GetOutputPort())
tf1.SetTransform(tr1)
tf1.Update()
return tf1.GetOutput()
def get_parametric_hills():
"""
Make a parametric hills surface as the source.
:return: vtkPolyData with normal and scalar data.
"""
fn.AllowRandomGenerationOn()
fn.SetRandomSeed(1)
fn.SetNumberOfHills(30)
# Make the normals face out of the surface.
# Not needed with VTK 8.0 or later.
# if fn.GetClassName() == 'vtkParametricRandomHills':
# fn.ClockwiseOrderingOff()
source = vtkParametricFunctionSource()
source.SetParametricFunction(fn)
source.SetUResolution(50)
source.SetVResolution(50)
source.SetScalarModeToZ()
source.Update()
# Name the arrays (not needed in VTK 6.2+ for vtkParametricFunctionSource).
# source.GetOutput().GetPointData().GetNormals().SetName('Normals')
# source.GetOutput().GetPointData().GetScalars().SetName('Scalars')
# Rename the scalars to 'Elevation' since we are using the Z-scalars as elevations.
source.GetOutput().GetPointData().GetScalars().SetName('Elevation')
transform.Translate(0.0, 5.0, 15.0)
transform.RotateX(-90.0)
transform_filter = vtkTransformPolyDataFilter()
transform_filter.SetInputConnection(source.GetOutputPort())
transform_filter.SetTransform(transform)
transform_filter.Update()
return transform_filter.GetOutput()
"""
Make a parametric torus as the source.
:return: vtkPolyData with normal and scalar data.
"""
fn.SetRingRadius(5)
fn.SetCrossSectionRadius(2)
source = vtkParametricFunctionSource()
source.SetParametricFunction(fn)
source.SetUResolution(50)
source.SetVResolution(50)
source.SetScalarModeToZ()
source.Update()
# Name the arrays (not needed in VTK 6.2+ for vtkParametricFunctionSource).
# source.GetOutput().GetPointData().GetNormals().SetName('Normals')
# source.GetOutput().GetPointData().GetScalars().SetName('Scalars')
# Rename the scalars to 'Elevation' since we are using the Z-scalars as elevations.
source.GetOutput().GetPointData().GetScalars().SetName('Elevation')
transform_filter = vtkTransformPolyDataFilter()
transform_filter.SetInputConnection(source.GetOutputPort())
transform_filter.SetTransform(transform)
transform_filter.Update()
return transform_filter.GetOutput()
Make a plane as the source.
:return: vtkPolyData with normal and scalar data.
source.SetOrigin(-10.0, -10.0, 0.0)
source.SetPoint2(-10.0, 10.0, 0.0)
source.SetPoint1(10.0, -10.0, 0.0)
source.SetXResolution(20)
source.SetYResolution(20)
source.Update()
transform.Translate(0.0, 0.0, 0.0)
transform.RotateX(-90.0)
transform_filter = vtkTransformPolyDataFilter()
transform_filter.SetInputConnection(source.GetOutputPort())
transform_filter.SetTransform(transform)
transform_filter.Update()
# We have a m x n array of quadrilaterals arranged as a regular tiling in a
# plane. So pass it through a triangle filter since the curvature filter only
# operates on polys.
tri.SetInputConnection(transform_filter.GetOutputPort())
# Pass it though a CleanPolyDataFilter and merge any points which
# are coincident, or very close
cleaner.SetInputConnection(tri.GetOutputPort())
cleaner.SetTolerance(0.005)
cleaner.Update()
return cleaner.GetOutput()
def get_sphere():
source = vtkSphereSource()
source.SetCenter(0.0, 0.0, 0.0)
source.SetRadius(10.0)
source.SetThetaResolution(32)
source.SetPhiResolution(32)
source.Update()
:return: vtkPolyData with normal and scalar data.
source = vtkSuperquadricSource()
source.SetCenter(0.0, 0.0, 0.0)
source.SetScale(1.0, 1.0, 1.0)
source.SetPhiResolution(64)
source.SetThetaResolution(64)
source.SetThetaRoundness(1)
source.SetThickness(0.5)
source.SetSize(10)
source.SetToroidal(1)
# The quadric is made of strips, so pass it through a triangle filter as
# the curvature filter only operates on polys
tri.SetInputConnection(source.GetOutputPort())
# The quadric has nasty discontinuities from the way the edges are generated
# so let's pass it though a CleanPolyDataFilter and merge any points which
# are coincident, or very close
cleaner.SetInputConnection(tri.GetOutputPort())
cleaner.SetTolerance(0.005)
cleaner.Update()
return cleaner.GetOutput()
def get_source(source):
surface = source.lower()
available_surfaces = ['hills', 'parametrictorus', 'plane', 'randomhills', 'sphere', 'torus']
if surface not in available_surfaces:
return None
elif surface == 'hills':
return get_hills()
elif surface == 'parametrictorus':
return get_parametric_torus()
elif surface == 'plane':
return get_elevations(get_plane())
elif surface == 'randomhills':
return get_parametric_hills()
elif surface == 'sphere':
return get_elevations(get_sphere())
elif surface == 'torus':
return get_elevations(get_torus())
return None
# Select a color scheme.
# color_series_enum = color_series.BREWER_DIVERGING_BROWN_BLUE_GREEN_9
# color_series_enum = color_series.BREWER_DIVERGING_SPECTRAL_10
# color_series_enum = color_series.BREWER_DIVERGING_SPECTRAL_3
# color_series_enum = color_series.BREWER_DIVERGING_PURPLE_ORANGE_9
# color_series_enum = color_series.BREWER_SEQUENTIAL_BLUE_PURPLE_9
# color_series_enum = color_series.BREWER_SEQUENTIAL_BLUE_GREEN_9
color_series_enum = color_series.BREWER_QUALITATIVE_SET3
# color_series_enum = color_series.CITRUS
color_series.SetColorScheme(color_series_enum)
return color_series
:return: An indexed (categorical) lookup table.
color_series.BuildLookupTable(lut, color_series.CATEGORICAL)
lut.SetNanColor(0, 0, 0, 1)
"""
Make a lookup table using vtkColorSeries.
:return: An ordinal (not indexed) lookup table.
"""
color_series = get_color_series()
# Make the lookup table.
color_series.BuildLookupTable(lut, color_series.ORDINAL)
lut.SetNanColor(0, 0, 0, 1)
return lut
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def get_diverging_lut():
"""
See: [Diverging Color Maps for Scientific Visualization](https://www.kennethmoreland.com/color-maps/)
start point midPoint end point
cool to warm: 0.230, 0.299, 0.754 0.865, 0.865, 0.865 0.706, 0.016, 0.150
purple to orange: 0.436, 0.308, 0.631 0.865, 0.865, 0.865 0.759, 0.334, 0.046
green to purple: 0.085, 0.532, 0.201 0.865, 0.865, 0.865 0.436, 0.308, 0.631
blue to brown: 0.217, 0.525, 0.910 0.865, 0.865, 0.865 0.677, 0.492, 0.093
green to red: 0.085, 0.532, 0.201 0.865, 0.865, 0.865 0.758, 0.214, 0.233
:return:
"""
ctf = vtkColorTransferFunction()
ctf.SetColorSpaceToDiverging()
# Cool to warm.
ctf.AddRGBPoint(0.0, 0.085, 0.532, 0.201)
ctf.AddRGBPoint(0.5, 0.865, 0.865, 0.865)
ctf.AddRGBPoint(1.0, 0.758, 0.214, 0.233)
table_size = 256
lut = vtkLookupTable()
lut.SetNumberOfTableValues(table_size)
lut.Build()
for i in range(0, table_size):
rgba = list(ctf.GetColor(float(i) / table_size))
rgba.append(1)
lut.SetTableValue(i, rgba)
return lut
Create a lookup table with the colors reversed.
:param: lut - An indexed lookup table.
:return: The reversed indexed lookup table.
lutr.DeepCopy(lut)
t = lut.GetNumberOfTableValues() - 1
rev_range = reversed(list(range(t + 1)))
for i in rev_range:
rgba = [0.0] * 3
rev_range = reversed(list(range(t + 1)))
for i in rev_range:
lutr.SetAnnotation(t - i, lut.GetAnnotation(i))
return lutr
def get_glyphs(src, scale_factor=1.0, reverse_normals=False):
You may need to adjust the parameters for mask_pts, arrow and glyph for a
nice appearance.
:param: src - the surface to glyph.
:param: reverse_normals - if True the normals on the surface are reversed.
# Sometimes the contouring algorithm can create a volume whose gradient
# vector and ordering of polygon (using the right hand rule) are
# inconsistent. vtkReverseSense cures this problem.
mask_pts.SetOnRatio(5)
mask_pts.RandomModeOn()
if reverse_normals:
reverse.SetInputData(src)
reverse.ReverseCellsOn()
reverse.ReverseNormalsOn()
mask_pts.SetInputConnection(reverse.GetOutputPort())
arrow.SetTipResolution(16)
arrow.SetTipLength(0.3)
arrow.SetTipRadius(0.1)
glyph.SetSourceConnection(arrow.GetOutputPort())
glyph.SetInputConnection(mask_pts.GetOutputPort())
glyph.SetScaleFactor(scale_factor)
glyph.SetColorModeToColorByVector()
glyph.SetScaleModeToScaleByVector()
glyph.OrientOn()
glyph.Update()
return glyph
def get_bands(d_r, number_of_bands, precision=2, nearest_integer=False):
"""
Divide a range into bands
:param: d_r - [min, max] the range that is to be covered by the bands.
:param: number_of_bands - The number of bands, a positive integer.
:param: precision - The decimal precision of the bounds.
:param: nearest_integer - If True then [floor(min), ceil(max)] is used.
:return: A dictionary consisting of the band number and [min, midpoint, max] for each band.
"""
prec = abs(precision)
if prec > 14:
prec = 14
bands = dict()
if (d_r[1] < d_r[0]) or (number_of_bands <= 0):
return bands
x = list(d_r)
if nearest_integer:
x[0] = math.floor(x[0])
x[1] = math.ceil(x[1])
dx = (x[1] - x[0]) / float(number_of_bands)
b = [x[0], x[0] + dx / 2.0, x[0] + dx]
i = 0
while i < number_of_bands:
b = list(map(lambda ele_b: round(ele_b, prec), b))
b[0] = x[0]
bands[i] = b
b = [b[0] + dx, b[1] + dx, b[2] + dx]
i += 1
return bands
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def get_custom_bands(d_r, number_of_bands, my_bands):
"""
Divide a range into custom bands.
You need to specify each band as an list [r1, r2] where r1 < r2 and
append these to a list.
The list should ultimately look
like this: [[r1, r2], [r2, r3], [r3, r4]...]
:param: d_r - [min, max] the range that is to be covered by the bands.
:param: number_of_bands - the number of bands, a positive integer.
:return: A dictionary consisting of band number and [min, midpoint, max] for each band.
"""
bands = dict()
if (d_r[1] < d_r[0]) or (number_of_bands <= 0):
return bands
x = my_bands
# Determine the index of the range minimum and range maximum.
idx_min = 0
for idx in range(0, len(my_bands)):
if my_bands[idx][1] > d_r[0] >= my_bands[idx][0]:
idx_min = idx
break
idx_max = len(my_bands) - 1
for idx in range(len(my_bands) - 1, -1, -1):
if my_bands[idx][1] > d_r[1] >= my_bands[idx][0]:
idx_max = idx
break
# Set the minimum to match the range minimum.
x[idx_min][0] = d_r[0]
x[idx_max][1] = d_r[1]
x = x[idx_min: idx_max + 1]
for idx, e in enumerate(x):
bands[idx] = [e[0], e[0] + (e[1] - e[0]) / 2, e[1]]
return bands
def get_frequencies(bands, src):
"""
Count the number of scalars in each band.
The scalars used are the active scalars in the polydata.
:param: bands - The bands.
:param: src - The vtkPolyData source.
:return: The frequencies of the scalars in each band.
"""
freq = dict()
for i in range(len(bands)):
freq[i] = 0
tuples = src.GetPointData().GetScalars().GetNumberOfTuples()
for i in range(tuples):
x = src.GetPointData().GetScalars().GetTuple1(i)
for j in range(len(bands)):
if x <= bands[j][2]:
freq[j] += 1
break
return freq
def adjust_ranges(bands, freq):
"""
The bands and frequencies are adjusted so that the first and last
frequencies in the range are non-zero.
:param bands: The bands dictionary.
:param freq: The frequency dictionary.
:return: Adjusted bands and frequencies.
"""
# Get the indices of the first and last non-zero elements.
first = 0
for k, v in freq.items():
if v != 0:
first = k
break
rev_keys = list(freq.keys())[::-1]
last = rev_keys[0]
for idx in list(freq.keys())[::-1]:
if freq[idx] != 0:
last = idx
break
# Now adjust the ranges.
min_key = min(freq.keys())
max_key = max(freq.keys())
for idx in range(min_key, first):
freq.pop(idx)
bands.pop(idx)
for idx in range(last + 1, max_key + 1):
freq.popitem()
bands.popitem()
old_keys = freq.keys()
adj_freq = dict()
adj_bands = dict()
for idx, k in enumerate(old_keys):
adj_freq[idx] = freq[k]
adj_bands[idx] = bands[k]
return adj_bands, adj_freq
def print_bands_frequencies(bands, freq, precision=2):
prec = abs(precision)
if prec > 14:
prec = 14
print('Bands and Frequencies must be the same size.')
s = f'Bands & Frequencies:\n'
total = 0
width = prec + 6
for j, q in enumerate(v):
if j == 0:
s += f'{k:4d} ['
if j == len(v) - 1:
s += f'{q:{width}.{prec}f}]: {freq[k]:8d}\n'
s += f'{q:{width}.{prec}f}, '
width = 3 * width + 13
s += f'{"Total":{width}s}{total:8d}\n'
import sys
main(sys.argv)