lorenzo bolla wrote:
> what about numpy.loadtxt?
or, probably faster, the little-known (it seems) numpy.fromfile() text mode:
# Read and write the first information lines
for i in range(0,5):
Fdif.write( Fpst.readline() )
# Read and write coordinates
coords =numpy.fromfile(Fpst,
On Fri, Mar 14, 2008 at 07:42:07PM -0300, Lisandro Dalcin wrote:
> If you just want to manage VTK files, the you have to definitely try
> pyvtk. http://cens.ioc.ee/projects/pyvtk/
> I have a similar numpy-based but independent implementation, not fully
> tested, targeted to only write VTK files fo
If you just want to manage VTK files, the you have to definitely try
pyvtk. http://cens.ioc.ee/projects/pyvtk/
I have a similar numpy-based but independent implementation, not fully
tested, targeted to only write VTK files for big datasets (let say,
more than 1 millon nodes) in eider ascii or byna
what about numpy.loadtxt?
In [9]: numpy.loadtxt('test.dat', skiprows=5)
Out[9]:
array([[ 15.44261, 12.05814, 54.43124],
[ 15.54899, 12.00075, 53.85503],
[ 15.95802, 11.92959, 53.88939],
[ 15.84085, 12.00235, 54.43274],
[ 15.53889, 11.16645, 54.51649],
[
Hello python users,
I have an input file consisting of string-lines and float-lines. This is how
it looks:
# vtk DataFile Version 3.0
VTK file exported from FEAP
ASCII
DATASET UNSTRUCTURED_GRID
POINTS6935 FLOAT
15.44261 12.05814 54.43124
15.54899 12.00075 53.85503
15.95802 11
