Note
This section is only a reference, please see chapter on Simple Scripting with mlab for an introduction to mlab.
Please see the section on Running mlab scripts for instructions on running the examples.
Allows one to view a 2D Numeric array as an image. This works best for very large arrays (like 1024x1024 arrays).
Function signatures:
imshow(2darray, ...)
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 representation: the representation type used for the surface. Must be ‘surface’ or ‘wireframe’ or ‘points’. Default: surface transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_imshow():
""" Use imshow to visualize a 2D 10x10 random array.
"""
s = numpy.random.random((10,10))
return imshow(s, colormap='gist_earth')
Plots glyphs (like arrows) indicating the direction of the vectors for a 3D volume of data supplied as arguments.
Function signatures:
quiver3d(u, v, w, ...)
quiver3d(x, y, z, u, v, w, ...)
quiver3d(x, y, z, f, ...)
If only 3 arrays u, v, w are passed the x, y and z arrays are assumed to be made from the indices of vectors.
If 4 positional arguments are passed the last one must be a callable, f, that returns vectors.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 mask_points: If supplied, only one out of ‘mask_points’ data point is displayed. This option is usefull to reduce the number of points displayed on large datasets Must be an integer or None. mode: the mode of the glyphs. Must be ‘2darrow’ or ‘2dcircle’ or ‘2dcross’ or ‘2ddash’ or ‘2ddiamond’ or ‘2dhooked_arrow’ or ‘2dsquare’ or ‘2dthick_arrow’ or ‘2dthick_cross’ or ‘2dtriangle’ or ‘2dvertex’ or ‘arrow’ or ‘cone’ or ‘cube’ or ‘cylinder’ or ‘point’ or ‘sphere’. Default: 2darrow name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 resolution: The resolution of the glyph created. For spheres, for instance, this is the number of divisions along theta and phi. Must be an integer. Default: 8 scalars: optional scalar data. scale_factor: the scaling applied to the glyphs. The size of the glyph is by default in drawing units. Must be a float. Default: 1.0 scale_mode: the scaling mode for the glyphs (‘vector’, ‘scalar’, or ‘none’). transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_quiver3d():
dims = [8, 8, 8]
xmin, xmax, ymin, ymax, zmin, zmax = [-5,5,-5,5,-5,5]
x, y, z = numpy.mgrid[xmin:xmax:dims[0]*1j,
ymin:ymax:dims[1]*1j,
zmin:zmax:dims[2]*1j]
x = x.astype('f')
y = y.astype('f')
z = z.astype('f')
sin = numpy.sin
cos = numpy.cos
u = cos(x)
v = sin(y)
w = sin(x*z)
obj = quiver3d(x, y, z, u, v, w, mode='cone', extent=(0,1, 0,1, 0,1),
scale_factor=0.9)
return obj
Draws lines between points.
Function signatures:
plot3d(x, y, z, ...)
plot3d(x, y, z, s, ...)
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 representation: the representation type used for the surface. Must be ‘surface’ or ‘wireframe’ or ‘points’. Default: surface transparent: make the opacity of the actor depend on the scalar. tube_radius: radius of the tubes used to represent the lines, If None, simple lines are used. tube_sides: number of sides of the tubes used to represent the lines. Must be an integer. Default: 6 vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_plot3d():
"""Generates a pretty set of lines."""
n_mer, n_long = 6, 11
pi = numpy.pi
dphi = pi/1000.0
phi = numpy.arange(0.0, 2*pi + 0.5*dphi, dphi, 'd')
mu = phi*n_mer
x = numpy.cos(mu)*(1+numpy.cos(n_long*mu/n_mer)*0.5)
y = numpy.sin(mu)*(1+numpy.cos(n_long*mu/n_mer)*0.5)
z = numpy.sin(n_long*mu/n_mer)*0.5
l = plot3d(x, y, z, numpy.sin(mu), tube_radius=0.025, colormap='Spectral')
return l
Plots a surface using regularly spaced elevation data supplied as a 2D array.
Function signatures:
surf(s, ...)
surf(x, y, s, ...)
surf(x, y, f, ...)
If 3 positional arguments are passed the last one must be an array s, or a callable, f, that returns an array. x and y give the coordinnates of positions corresponding to the s values.
z is the elevation matrix.
x and y can be 1D or 2D arrays (such as returned by numpy.ogrid or numpy.mgrid), but the points should be located on an orthogonal grid (possibly non-uniform). In other words, all the points sharing a same index in the s array need to have the same x or y value. For arbitrary-shaped position arrays (non-orthogonal grids), see the mesh function.
If only 1 array s is passed the x and y arrays are assumed to be made from the indices of arrays, and an uniformly-spaced data set is created.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 mask: boolean mask array to suppress some data points. name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 representation: the representation type used for the surface. Must be ‘surface’ or ‘wireframe’ or ‘points’. Default: surface transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used warp_scale: scale of the z axis (warped from the value of the scalar). By default this scale is a float value. If you specify ‘auto’, the scale is calculated to give a pleasant aspect ratio to the plot, whatever the bounds of the data. If you specify a value for warp_scale in addition to an extent, the warp scale will be determined by the warp_scale, and the plot be positioned along the z axis with the zero of the data centered on the center of the extent. If you are using explicit extents, this is the best way to control the vertical scale of your plots.
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_surf():
"""Test surf on regularly spaced co-ordinates like MayaVi."""
def f(x, y):
sin, cos = numpy.sin, numpy.cos
return sin(x+y) + sin(2*x - y) + cos(3*x+4*y)
x, y = numpy.mgrid[-7.:7.05:0.1, -5.:5.05:0.05]
s = surf(x, y, f)
#cs = contour_surf(x, y, f, contour_z=0)
return s
Plots a surface using grid-spaced data supplied as 2D arrays.
Function signatures:
mesh(x, y, z, ...)
x, y, z are 2D arrays giving the positions of the vertices of the surface. The connectivity between these points is implied by the connectivity on the arrays.
For simple structures (such as orthogonal grids) prefer the surf function, as it will create more efficient data structures.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 mask: boolean mask array to suppress some data points. mask_points: If supplied, only one out of ‘mask_points’ data point is displayed. This option is usefull to reduce the number of points displayed on large datasets Must be an integer or None. mode: the mode of the glyphs. Must be ‘2darrow’ or ‘2dcircle’ or ‘2dcross’ or ‘2ddash’ or ‘2ddiamond’ or ‘2dhooked_arrow’ or ‘2dsquare’ or ‘2dthick_arrow’ or ‘2dthick_cross’ or ‘2dtriangle’ or ‘2dvertex’ or ‘arrow’ or ‘cone’ or ‘cube’ or ‘cylinder’ or ‘point’ or ‘sphere’. Default: sphere name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 representation: the representation type used for the surface. Must be ‘surface’ or ‘wireframe’ or ‘points’ or ‘mesh’ or ‘fancymesh’. Default: surface resolution: The resolution of the glyph created. For spheres, for instance, this is the number of divisions along theta and phi. Must be an integer. Default: 8 scalars: optional scalar data. scale_factor: scale factor of the glyphs used to represent the vertices, in fancy_mesh mode. Must be a float. Default: 0.05 scale_mode: the scaling mode for the glyphs (‘vector’, ‘scalar’, or ‘none’). transparent: make the opacity of the actor depend on the scalar. tube_radius: radius of the tubes used to represent the lines, in mesh mode. If None, simple lines are used. tube_sides: number of sides of the tubes used to represent the lines. Must be an integer. Default: 6 vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_mesh():
"""A very pretty picture of spherical harmonics translated from
the octaviz example."""
pi = numpy.pi
cos = numpy.cos
sin = numpy.sin
dphi, dtheta = pi/250.0, pi/250.0
[phi,theta] = numpy.mgrid[0:pi+dphi*1.5:dphi,0:2*pi+dtheta*1.5:dtheta]
m0 = 4; m1 = 3; m2 = 2; m3 = 3; m4 = 6; m5 = 2; m6 = 6; m7 = 4;
r = sin(m0*phi)**m1 + cos(m2*phi)**m3 + sin(m4*theta)**m5 + cos(m6*theta)**m7
x = r*sin(phi)*cos(theta)
y = r*cos(phi)
z = r*sin(phi)*sin(theta);
return mesh(x, y, z, colormap="bone")
Plots iso-surfaces for a 3D volume of data suplied as arguments.
Function signatures:
contour3d(scalars, ...)
contour3d(scalarfield, ...)
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. contours: Integer/list specifying number/list of contours. Specifying 0 shows no contours. Specifying a list of values will only give the requested contours asked for. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_contour3d():
dims = [64, 64, 64]
xmin, xmax, ymin, ymax, zmin, zmax = [-5,5,-5,5,-5,5]
x, y, z = numpy.ogrid[xmin:xmax:dims[0]*1j,
ymin:ymax:dims[1]*1j,
zmin:zmax:dims[2]*1j]
x = x.astype('f')
y = y.astype('f')
z = z.astype('f')
sin = numpy.sin
scalars = x*x*0.5 + y*y + z*z*2.0
obj = contour3d(scalars, contours=4, transparent=True)
return obj
Plots glyphs (like points) at the position of the supplied data.
Function signatures:
points3d(scalardata, ...)
points3d(x, y, z...)
points3d(x, y, z, s, ...)
points3d(x, y, z, f, ...)
If only one positional argument is passed, it should be VTK data object with scalar data.
If only 3 arrays x, y, z all the points are drawn with the same size and color
If 4 positional arguments are passed the last one can be an array s or a callable f that gives the size and color of the glyph.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 mask_points: If supplied, only one out of ‘mask_points’ data point is displayed. This option is usefull to reduce the number of points displayed on large datasets Must be an integer or None. mode: the mode of the glyphs. Must be ‘2darrow’ or ‘2dcircle’ or ‘2dcross’ or ‘2ddash’ or ‘2ddiamond’ or ‘2dhooked_arrow’ or ‘2dsquare’ or ‘2dthick_arrow’ or ‘2dthick_cross’ or ‘2dtriangle’ or ‘2dvertex’ or ‘arrow’ or ‘cone’ or ‘cube’ or ‘cylinder’ or ‘point’ or ‘sphere’. Default: sphere name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 resolution: The resolution of the glyph created. For spheres, for instance, this is the number of divisions along theta and phi. Must be an integer. Default: 8 scale_factor: the scaling applied to the glyphs. The size of the glyph is by default in drawing units. Must be a float. Default: 1.0 scale_mode: the scaling mode for the glyphs (‘vector’, ‘scalar’, or ‘none’). transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_points3d():
t = numpy.linspace(0, 4*numpy.pi, 20)
cos = numpy.cos
sin = numpy.sin
x = sin(2*t)
y = cos(t)
z = cos(2*t)
s = 2+sin(t)
return points3d(x, y, z, s, colormap="copper", scale_factor=.25)
Creates streamlines following the flow of a vector field.
Function signatures:
flow(u, v, w, ...)
flow(x, y, z, u, v, w, ...)
flow(x, y, z, f, ...)
If only 3 arrays u, v, w are passed the x, y and z arrays are assumed to be made from the indices of vectors.
If the x, y and z arrays are passed they are supposed to have been generated by numpy.mgrid. The function builds a scalar field assuming the points are regularily spaced.
If 4 positional arguments are passed the last one must be a callable, f, that returns vectors.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. integration_direction: The direction of the integration. Must be ‘forward’ or ‘backward’ or ‘both’. Default: forward line_width: The with of the lines, if any used. Must be a float. Default: 2.0 linetype: the type of line-like object used to display the streamline. Must be ‘line’ or ‘ribbon’ or ‘tube’. Default: line name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 scalars: optional scalar data. seed_resolution: The resolution of the seed. Determines the number of seed points Must be an integer or None. seed_scale: Scales the seed around its default center Must be a float. Default: 1.0 seed_visible: Control the visibility of the seed. Must be a boolean. Default: True seedtype: the widget used as a seed for the streamlines. Must be ‘line’ or ‘plane’ or ‘point’ or ‘sphere’. Default: sphere transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_flow():
dims = [32, 32, 32]
xmin, xmax, ymin, ymax, zmin, zmax = [-5,5,-5,5,-5,5]
x, y, z = numpy.mgrid[xmin:xmax:dims[0]*1j,
ymin:ymax:dims[1]*1j,
zmin:zmax:dims[2]*1j]
x = x.astype('f')
y = y.astype('f')
z = z.astype('f')
sin = numpy.sin
cos = numpy.cos
u = cos(x/2.)
v = sin(y/2.)
w = sin(x*z/4.)
obj = flow(x, y, z, u, v, w, linetype='tube')
return obj
Plots a the contours of asurface using grid spaced data supplied as 2D arrays.
Function signatures:
contour_surf(s, ...)
contour_surf(x, y, s, ...)
contour_surf(x, y, f, ...)
If only one array s is passed the x and y arrays are assumed to be made of the indices of s. s is the elevation matrix.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. contours: Integer/list specifying number/list of contours. Specifying 0 shows no contours. Specifying a list of values will only give the requested contours asked for. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used warp_scale: scale of the warp scalar
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_contour_surf():
"""Test contour_surf on regularly spaced co-ordinates like MayaVi."""
def f(x, y):
sin, cos = numpy.sin, numpy.cos
return sin(x+y) + sin(2*x - y) + cos(3*x+4*y)
x, y = numpy.mgrid[-7.:7.05:0.1, -5.:5.05:0.05]
s = contour_surf(x, y, f)
return s
Plots vertical glyphs (like bars) scaled vertical, to do histogram-like plots.
This functions accepts a wide variety of inputs, with positions given in 2D or in 3D.
Function signatures:
barchart(s, ...)
barchart(x, y, s, ...)
barchart(x, y, f, ...)
barchart(x, y, z, s, ...)
barchart(x, y, z, f, ...)
If only one positional argument is passed, it can be a 1D, 2D, or 3D array giving the length of the vectors. The positions of the data points are deducted from the indices of array, and an uniformly-spaced data set is created.
If 3 positional arguments (x, y, s) are passed the last one must be an array s, or a callable, f, that returns an array. x and y give the 2D coordinates of positions corresponding to the s values.
If 4 positional arguments (x, y, z, s) are passed, the 3 first are arrays giving the 3D coordinates of the data points, and the last one is an array s, or a callable, f, that returns an array giving the data value.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. lateral_scale: The lateral scale of the glyph, in units of the distance between nearest points Must be a float. Default: 0.9 line_width: The with of the lines, if any used. Must be a float. Default: 2.0 mask_points: If supplied, only one out of ‘mask_points’ data point is displayed. This option is usefull to reduce the number of points displayed on large datasets Must be an integer or None. mode: The glyph used to represent the bars. Must be ‘2dcircle’ or ‘2dcross’ or ‘2ddiamond’ or ‘2dsquare’ or ‘2dthick_cross’ or ‘2dtriangle’ or ‘2dvertex’ or ‘cube’. Default: cube name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 resolution: The resolution of the glyph created. For spheres, for instance, this is the number of divisions along theta and phi. Must be an integer. Default: 8 scale_factor: the scaling applied to the glyphs. The size of the glyph is by default in drawing units. Must be a float. Default: 1.0 scale_mode: the scaling mode for the glyphs (‘vector’, ‘scalar’, or ‘none’). transparent: make the opacity of the actor depend on the scalar. vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_barchart():
""" Demo the bar chart plot with a 2D array.
"""
s = numpy.abs(numpy.random.random((3, 3)))
return barchart(s)
Plots a surface using a mesh defined by the position of its vertices and the triangles connecting them.
Function signatures:
mesh(x, y, z, triangles ...)
x, y, z are arrays giving the positions of the vertices of the surface. triangles is a list of triplets (or an array) list the vertices in each triangle. Vertices are indexes by their appearance number in the position arrays.
For simple structures (such as rectangular grids) prefer the surf or mesh functions, as they will create more efficient data structures.
Keyword arguments:
color: the color of the vtk object. Overides the colormap, if any, when specified. This is specified as a triplet of float ranging from 0 to 1, eg (1, 1, 1) for white. colormap: type of colormap to use. extent: [xmin, xmax, ymin, ymax, zmin, zmax] Default is the x, y, z arrays extents. figure: Figure to populate. line_width: The with of the lines, if any used. Must be a float. Default: 2.0 mask: boolean mask array to suppress some data points. mask_points: If supplied, only one out of ‘mask_points’ data point is displayed. This option is usefull to reduce the number of points displayed on large datasets Must be an integer or None. mode: the mode of the glyphs. Must be ‘2darrow’ or ‘2dcircle’ or ‘2dcross’ or ‘2ddash’ or ‘2ddiamond’ or ‘2dhooked_arrow’ or ‘2dsquare’ or ‘2dthick_arrow’ or ‘2dthick_cross’ or ‘2dtriangle’ or ‘2dvertex’ or ‘arrow’ or ‘cone’ or ‘cube’ or ‘cylinder’ or ‘point’ or ‘sphere’. Default: sphere name: the name of the vtk object created. opacity: The overall opacity of the vtk object. Must be a float. Default: 1.0 representation: the representation type used for the surface. Must be ‘surface’ or ‘wireframe’ or ‘points’ or ‘mesh’ or ‘fancymesh’. Default: surface resolution: The resolution of the glyph created. For spheres, for instance, this is the number of divisions along theta and phi. Must be an integer. Default: 8 scalars: optional scalar data. scale_factor: scale factor of the glyphs used to represent the vertices, in fancy_mesh mode. Must be a float. Default: 0.05 scale_mode: the scaling mode for the glyphs (‘vector’, ‘scalar’, or ‘none’). transparent: make the opacity of the actor depend on the scalar. tube_radius: radius of the tubes used to represent the lines, in mesh mode. If None, simple lines are used. tube_sides: number of sides of the tubes used to represent the lines. Must be an integer. Default: 6 vmax: vmax is used to scale the colormap If None, the max of the data will be used vmin: vmin is used to scale the colormap If None, the min of the data will be used
Example (run in ipython -wthread or in the mayavi2 interactive shell, see Running mlab scripts for more info):
import numpy
from enthought.mayavi.mlab import *
def test_triangular_mesh():
"""An example of a cone, ie a non-regular mesh defined by its
triangles.
"""
n = 8
t = numpy.linspace(0, 2*numpy.pi, n)
z = numpy.exp(1j*t)
x = z.real.copy()
y = z.imag.copy()
z = numpy.zeros_like(x)
triangles = [(0, i, i+1) for i in range(n)]
x = numpy.r_[0, x]
y = numpy.r_[0, y]
z = numpy.r_[1, z]
t = numpy.r_[0, t]
return triangular_mesh(x, y, z, triangles, scalars=t)