223031012
/
DAMASK_EICMD
mirror of https://github.com/achalhp/DAMASK_EICMD.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

Paraview 5.9 supports datasets of arbitrary length in XDMF

This commit is contained in:
Martin Diehl 2020-11-27 21:45:23 +01:00
parent 70fca0d4c9
commit a8da1e5ed9
1 changed files with 6 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
python/damask/_result.py
View File

@ -7,6 +7,7 @@ import xml.etree.ElementTree as ET
import xml.dom.minidom
from pathlib import Path
from functools import partial
from collections import defaultdict
import h5py
import numpy as np
@ -1239,6 +1240,8 @@ class Result:
delta.text="{} {} {}".format(*(self.size/self.grid))
type_map = defaultdict(lambda:'Matrix', ( ((),'Scalar'), ((3,),'Vector'), ((3,3),'Tensor')) )
with h5py.File(self.fname,'r') as f:
attributes.append(ET.SubElement(grid, 'Attribute'))
attributes[-1].attrib={'Name': 'u / m',
@ -1259,14 +1262,14 @@ class Result:
shape = f[name].shape[1:]
dtype = f[name].dtype
if (shape not in [(), (3,), (3,3)]) or dtype != np.float64: continue
if dtype != np.float64: continue
prec = f[name].dtype.itemsize
unit = f[name].attrs['Unit'] if h5py3 else f[name].attrs['Unit'].decode()
attributes.append(ET.SubElement(grid, 'Attribute'))
attributes[-1].attrib={'Name': name.split('/',2)[2]+f' / {unit}',
'Center': 'Cell',
'AttributeType': {():'Scalar',(3):'Vector',(3,3):'Tensor'}[shape]}
'AttributeType': type_map[shape]}
data_items.append(ET.SubElement(attributes[-1], 'DataItem'))
data_items[-1].attrib={'Format': 'HDF',
'NumberType': 'Float',