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DAMASK_EICMD
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shortened code with utility function coordGridAndSize

This commit is contained in:
Philip Eisenlohr 2018-01-30 09:20:47 -05:00
parent dc77e996cc
commit 355d576b4d
4 changed files with 7 additions and 28 deletions
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7
processing/post/addCurl.py
View File

@ -139,12 +139,7 @@ for name in filenames:
table.data_readArray()
coords = [np.unique(table.data[:,coordCol+i]) for i in range(3)]
mincorner = np.array(map(min,coords))
maxcorner = np.array(map(max,coords))
grid = np.array(map(len,coords),'i')
size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other ones
grid,size = damask.util.gridAndSize(table.data[:,table.label_indexrange(options.pos)])
# ------------------------------------------ process value field -----------------------------------

7
processing/post/addDivergence.py
View File

@ -136,12 +136,7 @@ for name in filenames:
table.data_readArray()
coords = [np.unique(table.data[:,coordCol+i]) for i in range(3)]
mincorner = np.array(map(min,coords))
maxcorner = np.array(map(max,coords))
grid = np.array(map(len,coords),'i')
size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other ones
grid,size = damask.util.coordGridAndSize(table.data[:,table.label_indexrange(options.pos)])
# ------------------------------------------ process value field -----------------------------------

14
processing/post/addGaussian.py
View File

@ -18,7 +18,7 @@ scriptID = ' '.join([scriptName,damask.version])
parser = OptionParser(option_class=damask.extendableOption, usage='%prog option(s) [ASCIItable(s)]', description = """
Add column(s) containing Gaussian filtered values of requested column(s).
Operates on periodic and non-periodic ordered three-dimensional data sets.
For Details see scipy.ndimage documentation.
For details see scipy.ndimage documentation.
""", version = scriptID)
@ -43,15 +43,14 @@ parser.add_option('--sigma',
parser.add_option('--periodic',
dest = 'periodic',
action = 'store_true',
help = 'assume periodic grain structure'
)
help = 'assume periodic grain structure')
parser.set_defaults(pos = 'pos',
order = 0,
sigma = 1,
periodic = False
periodic = False,
)
(options,filenames) = parser.parse_args()
@ -110,12 +109,7 @@ for name in filenames:
table.data_readArray()
coords = [np.unique(table.data[:,colCoord+i]) for i in range(3)]
mincorner = np.array(map(min,coords))
maxcorner = np.array(map(max,coords))
grid = np.array(map(len,coords),'i')
size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other ones
grid,size = damask.util.coordGridAndSize(table.data[:,table.label_indexrange(options.pos)])
# ------------------------------------------ process value field -----------------------------------

7
processing/post/addGradient.py
View File

@ -135,12 +135,7 @@ for name in filenames:
table.data_readArray()
coords = [np.unique(table.data[:,coordCol+i]) for i in range(3)]
mincorner = np.array(map(min,coords))
maxcorner = np.array(map(max,coords))
grid = np.array(map(len,coords),'i')
size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other ones
grid,size = damask.util.coordGridAndSize(table.data[:,table.label_indexrange(options.pos)])
# ------------------------------------------ process value field -----------------------------------