mayavi

I know how to read the CSV into numpy and do it from a Python script, and that is good enough for my use case. But since it has a GUI with data loading functionality, I was expecting it would just work for such an universal data format. So I tried to go on the menu: File Load data Open file but when I select a simple CSV file: i=0; while [ "$i" -lt 10 ]; do echo "$i,$((2*i)),$((4*i))"; i=$((i+1)); done > main.csv which contains: 0,0,0 1,2,4 2,4,8 3,6,12 4,8,16 5,10,20 6,12,24 7,14,28 8,16,32 9,18,36 an error popup shows on the GUI: No suitable reader found for file /home/ciro/main.csv Google

Is it possible in mayavi to specify individually both the size and the colors of every point? That API is cumbersome to me. points3d(x, y, z...) points3d(x, y, z, s, ...) points3d(x, y, z, f, ...) x, y and z are numpy arrays, or lists, all of the same shape, giving the positions of the points. If only 3 arrays x, y, z are given, all the points are drawn with the same size and color. In addition, you can pass a fourth array s of the same shape as x, y, and z giving an associated scalar value for each point, or a function f(x, y, z) returning the scalar value. This scalar value can be used to

I want to do something similar to: 3D terrain visualization with python and Mayavi2 As input I have an image (map) with a defined width and height in pixel. For this image / map I get the digital elevation model of the surface the image / map represents (extent). The extent consists of the min / max longitude and latitude values. For the elevation model I interpolate a grid with the same amount of values as the pixel of the image. im # PIL Image object pixel_x, pixel_y = im.size ext = [lon_min, lon_max, lat_min, lat_max] xstep = float(ext[1] - ext[0]) / float(pixel_x) ystep = float(ext[3] -

I am trying to learn mayavi2 for python and can not get my savefig to show my plots. I found this example code: from numpy import pi, sin, cos, mgrid dphi, dtheta = pi/250.0, pi/250.0 [phi,theta] = 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) # View it. from mayavi import mlab a= mlab.mesh(x, y, z) mlab.show() Now I want to save the figure, so I add: mlab.savefig(filename='test.png'

I want to do a 3-d plot with mayavi2 using mayavi.mlab.surf(). This function has an argument called warp_scale that can be used to scale the z axis, I'm looking for something similar but for the x and y axes. I can do this manually by multiplying the x and y arrays and then using the ranges argument in mayavi.mlab.axes() to correct the axes labels, however I'm looking for a more direct approach like that of warp_scale. Thanks! when "m" is your surface object: m.actor.actor.scale = (0.1, 1.0, 1.0) http://osdir.com/ml/python.enthought.devel/2006-11/msg00067.html I was looking for the same