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ElevationBandsWithGlyphs.py 26.7 KiB
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#!/usr/bin/env python

import math
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
def main(argv):
    # ------------------------------------------------------------
    # Create the surface, lookup tables, contour filter etc.
    # ------------------------------------------------------------
    # desired_surface = 'Hills'
    # desired_surface = 'ParametricTorus'
    # desired_surface = 'Plane'
    desired_surface = 'RandomHills'
    # 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
    print(desired_surface)

    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 = vtkVariantArray()
    for i in range(len(labels)):
        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
    # ------------------------------------------------------------

    colors = vtkNamedColors()

    # 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 = vtkActor()
    src_actor.SetMapper(src_mapper)

    # Create contour edges
    edge_mapper = vtkPolyDataMapper()
    edge_mapper.SetInputData(bcf.GetContourEdgesOutput())
    edge_mapper.SetResolveCoincidentTopologyToPolygonOffset()

    edge_actor = vtkActor()
    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 = vtkActor()
    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


def get_elevations(src):
    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]
    src.GetBounds(bounds)
    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()


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 = vtkParametricRandomHills()
    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 = vtkTransform()
    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()


def get_parametric_torus():
    """
    Make a parametric torus as the source.
    :return: vtkPolyData with normal and scalar data.
    """
    fn = vtkParametricTorus()
    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 = vtkTransform()
    transform.RotateX(-90.0)
    transform_filter = vtkTransformPolyDataFilter()
    transform_filter.SetInputConnection(source.GetOutputPort())
    transform_filter.SetTransform(transform)
    transform_filter.Update()

    return transform_filter.GetOutput()


def get_plane():
    Make a plane as the source.
    :return: vtkPolyData with normal and scalar data.
    source = vtkPlaneSource()
    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 = vtkTransform()
    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 = vtkTriangleFilter()
    tri.SetInputConnection(transform_filter.GetOutputPort())

    # Pass it though a CleanPolyDataFilter and merge any points which
    # are coincident, or very close
    cleaner = vtkCleanPolyData()
    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 source.GetOutput()
def get_torus():
    Make a torus as the source.
    :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 = vtkTriangleFilter()
    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 = vtkCleanPolyData()
    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
def get_color_series():
    color_series = vtkColorSeries()
    # 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


def get_categorical_lut():
    Make a lookup table using vtkColorSeries.
    :return: An indexed (categorical) lookup table.
    color_series = get_color_series()
    # Make the lookup table.
    lut = vtkLookupTable()
    color_series.BuildLookupTable(lut, color_series.CATEGORICAL)
    lut.SetNanColor(0, 0, 0, 1)
    return lut

def get_ordinal_lut():
    """
    Make a lookup table using vtkColorSeries.
    :return: An ordinal (not indexed) lookup table.
    """
    color_series = get_color_series()
    # Make the lookup table.
    lut = vtkLookupTable()
    color_series.BuildLookupTable(lut, color_series.ORDINAL)
    lut.SetNanColor(0, 0, 0, 1)
    return lut


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


def reverse_lut(lut):
    Create a lookup table with the colors reversed.
    :param: lut - An indexed lookup table.
    :return: The reversed indexed lookup table.
    lutr = vtkLookupTable()
    lutr.DeepCopy(lut)
    t = lut.GetNumberOfTableValues() - 1
    rev_range = reversed(list(range(t + 1)))
    for i in rev_range:
        v = float(i)
        lut.GetColor(v, rgba)
        rgba.append(lut.GetOpacity(v))
        lutr.SetTableValue(t - i, rgba)
    t = lut.GetNumberOfAnnotatedValues() - 1
    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):
    Glyph the normals on the surface.

    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.
    :return: The glyph object.

    # 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.
    reverse = vtkReverseSense()

    # Choose a random subset of points.
    mask_pts = vtkMaskPoints()
    mask_pts.SetOnRatio(5)
    mask_pts.RandomModeOn()
    if reverse_normals:
        reverse.SetInputData(src)
        reverse.ReverseCellsOn()
        reverse.ReverseNormalsOn()
        mask_pts.SetInputConnection(reverse.GetOutputPort())
        mask_pts.SetInputData(src)

    # Source for the glyph filter
    arrow = vtkArrowSource()
    arrow.SetTipResolution(16)
    arrow.SetTipLength(0.3)
    arrow.SetTipRadius(0.1)

    glyph = vtkGlyph3D()
    glyph.SetSourceConnection(arrow.GetOutputPort())
    glyph.SetInputConnection(mask_pts.GetOutputPort())
    glyph.SetVectorModeToUseNormal()
    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
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

    if len(bands) != len(freq):
        print('Bands and Frequencies must be the same size.')
    s = f'Bands & Frequencies:\n'
    total = 0
    width = prec + 6
    for k, v in bands.items():
        total += freq[k]
        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'
if __name__ == '__main__':
    import sys

    main(sys.argv)