Apologies for the message size but I figured including the print info would cut
down on traffic overall.
I have a 3d dataset (type general) with one data field (4 columns).
With glyph it plots nicely in 3D, with glyphs colored/sized by data magnitude.
I'm trying to get the data displayed as an isosurface (volume) instead of
glyphs.
The basic net ?I'm using is:
import -> connect -> isosurface -> autocolour -> image
-> print
The print output is below. The image is a set of contours, not a surface.
How do I get it displayed as an isosurface?
<output from print after passing through connect as above>
Field. 5 components.
Component number 0, name 'data':
Generic Array. 217 items, float, real, scalar
first 25 and last 25 data values only:
20 1.6 20 6 2.5
1.1 0.30000001 5 21 8
4 1.9 7 11 4
120 0.80000001 50 14 4
2 6 1 0.60000002 1
...
8 25.413 35
20 10.3 0.60000002 25.155001 35
6 19.5 9.5 2 10.3
3 0.5 5 6 50
15 1 9 16 10.5
14.6 35
Attribute. Name 'dep':
String. "positions"
Component number 1, name 'positions':
Generic Array. 217 items, float, real, 3-vector
first 25 and last 25 data values only:
169.85001 -42.799999 -0.49000001
169.89999 -42.783298 -0.40000001
169.9167 -42.766602 -0.34999999
169.9333 -42.75 -0.46000001
169.95 -42.733299 -0.41999999
169.95 -42.75 -0.43000001
169.96671 -42.716599 -0.40000001
169.96671 -42.7416 -0.43900001
169.96671 -42.75 -0.41999999
169.98331 -42.700001 -0.40000001
169.98331 -42.733299 -0.30000001
169.98331 -42.75 -0.31799999
169.98669 -42.724998 -0.44
170 -42.6833 -0.40000001
170 -42.700001 -0.38999999
170 -42.733299 -0.34999999
170.01669 -42.549999 -0.63999999
170.01669 -42.666599 -0.40799999
170.01669 -42.6833 -0.40000001
170.01669 -42.700001 -0.38
170.01669 -42.716599 -0.345
170.02831 -42.6866 -0.40000001
170.03329 -42.549999 -0.56999999
170.03329 -42.650002 -0.43000001
170.03329 -42.6833 -0.34999999
...
170.6333 -42.633301 -0.33000001
170.6333 -42.650002 -0.25999999
170.64999 -41.4333 -0.495
170.64999 -41.483299 -0.47600001
170.64999 -42.599998 -0.30000001
170.64999 -42.633301 -0.30000001
170.64999 -42.650002 -0.34999999
170.64999 -42.666599 -0.347
170.6667 -41.099998 -0.565
170.6667 -41.483299 -0.46000001
170.6667 -41.533298 -0.40400001
170.6667 -42.549999 -0.25
170.6667 -42.599998 -0.34999999
170.6667 -42.6166 -0.31799999
170.7 -41.083302 -0.30000001
170.71671 -41.266602 -0.57200003
170.71671 -41.316601 -0.465
170.75 -41.1833 -0.505
170.75 -41.216599 -0.49000001
170.75 -41.25 -0.47999999
170.76669 -41.049999 -0.52200001
170.76669 -41.233299 -0.405
170.76669 -41.266602 -0.479
170.78329 -41.1833 -0.45699999
170.8 -41.266602 -0.43599999
Attribute. Name 'dep':
String. "positions"
Component number 2, name 'connections':
Generic Array. 423 items, integer, real, 3-vector
first 25 and last 25 data values only:
133 16 25
0 1 2
0 2 3
11 1 153
0 3 4
1 11 8
4 16 0
2 5 3
6 9 16
3 5 4
4 7 6
2 8 5
16 4 6
6 10 12
8 2 1
7 4 5
116 85 153
8 7 5
16 9 13
7 8 11
153 45 20
10 6 7
10 15 12
11 10 7
9 14 13
...
207 187 177
202 178 179
214 211 207
203 202 179
216 213 214
205 196 197
205 198 199
194 201 208
216 208 201
208 177 194
210 209 187
207 208 214
210 211 213
209 206 200
215 210 213
211 214 213
213 216 215
201 202 216
212 206 209
204 205 216
210 215 209
216 202 203
215 212 209
216 212 215
216 203 204
Attribute. Name 'element type':
String. "triangles"
Attribute. Name 'ref':
String. "positions"
Attribute. Name 'dep':
String. "connections"
Component number 3, name 'box':
Generic Array. 8 items, float, real, 3-vector
data values:
169.85001 -42.916599 -0.69999999
169.85001 -42.916599 -0.25
169.85001 -41.049999 -0.69999999
169.85001 -41.049999 -0.25
170.8 -42.916599 -0.69999999
170.8 -42.916599 -0.25
170.8 -41.049999 -0.69999999
170.8 -41.049999 -0.25
Attribute. Name 'der':
String. "positions"
Component number 4, name 'data statistics':
Generic Array. 8 items, double, real, scalar
data values:
0.200000002980232239 120 11.0522119755157124
0 2398.32999868690968 72924.0185137229128
217 1
Attribute. Name 'der':
String. "data"
Attribute. Name 'name':
String. "field0"
Begin Execution
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