File:  [CENS] / python / pyvtk / lib / StructuredPoints.py
Revision 1.2: download - view: text, annotated - select for diffs - revision graph
Thu May 31 17:48:54 2001 UTC (16 years, 5 months ago) by pearu
Branches: MAIN
CVS tags: HEAD
Impl.VTK-reader

#!/usr/bin/env python
"""
StructuredPoints
"""
"""

Copyright 2001 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>          
Permission to use, modify, and distribute this software is given under the
terms of the LGPL.  See http://www.fsf.org

NO WARRANTY IS EXPRESSED OR IMPLIED.  USE AT YOUR OWN RISK.
$Revision: 1.2 $
$Date: 2001-05-31 17:48:54 $
Pearu Peterson
"""

import DataSet
import common

class StructuredPoints(DataSet.DataSet):
    """
    Usage:
      StructuredPoints(<3-tuple of dimensions>, origin = <3-tuple>, spacing = <3-tuple>)
    Attributes:
      dimensions
      origin
      spacing
    Public methods:
      get_size()
      get_cell_size()
      to_string(format = 'ascii')
      get_points()
      <DataSetAttr class>(...)
    """

    def __init__(self,dimensions,origin=(0,0,0),spacing=(1,1,1)):
        self.dimensions = self.get_3_tuple(dimensions,(1,1,1))
        if self._check_dimensions():
            raise ValueError,'dimensions must be 3-tuple of ints >=1'
        self.origin = self.get_3_tuple(origin,(1,1,1))
        if self._check_origin():
            raise ValueError,'origin must be 3-tuple of numbers'
        self.spacing = self.get_3_tuple(spacing,(1,1,1))
        if self._check_spacing():
            raise ValueError,'spacing must be 3-tuple of positive numbers'

    def to_string(self,format = 'ascii'):
        ret = ['DATASET STRUCTURED_POINTS',
               'DIMENSIONS %s %s %s'%self.dimensions,
               'ORIGIN %s %s %s'%self.origin,
               'SPACING %s %s %s'%self.spacing]
        return '\n'.join(ret)
    def get_points(self):
        if hasattr(self,'points'):
            return self.points
        arr = []
        for k in range(self.dimensions[2]):
            z = self.origin[2] + k * self.spacing[2]
            for j in range(self.dimensions[1]):
                y = self.origin[1] + j * self.spacing[1]
                for i in range(self.dimensions[0]):
                    x = self.origin[0] + i * self.spacing[0]
                    arr.append((x,y,z))
        self.points = arr
        return arr

def structured_points_fromfile(f,self):
    l = common._getline(f).split(' ')
    assert l[0].strip().lower() == 'dimensions'
    dims = map(eval,l[1:])
    assert len(dims)==3
    l = common._getline(f).split(' ')
    assert l[0].strip().lower() == 'origin'
    origin = map(eval,l[1:])
    assert len(origin)==3
    l = common._getline(f).split(' ')
    assert l[0].strip().lower() == 'spacing'
    spacing = map(eval,l[1:])
    assert len(spacing)==3
    return StructuredPoints(dims,origin,spacing),common._getline(f)
    
if __name__ == "__main__":
    print StructuredPoints((2,3,4))
    print StructuredPoints((2,3))
    print StructuredPoints(5)
    print StructuredPoints([2,3,5,6]).get_size()

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