Improve Python Example use_case_02.py with additional example codes #423
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mhitzem
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Aug 11, 2021
mhitzem
commented
- Generates a new csv file with random data (fake scalar data)
- Data from file is read and put into uint32 and float32 arrays and added to AttributeMatrix and DataContainer
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| #Creates arrays from data with shape of (# of vertices x 1) | ||
| uintarr = np.ndarray(shape=(37989, 1), dtype=np.uint32, buffer=uints) | ||
| floatarr = np.ndarray(shape=(37989, 1), dtype=np.float32, buffer=f32s) |
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use the numVerts variable from above instead of the 37989 hard coded value.
imikejackson
changed the title
imikejackson
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Enhancement
| am.addOrReplaceAttributeArray(f32arr) | ||
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| # Add AttributeMatirx to DataContainer | ||
| dc.addOrReplaceAttributeMatrix(am) | ||
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See if you can add the DREAM3D filter "apply_transformation_to_geometry" which is in the DREAM3DReview plugin. Take a look at https://github.com/dream3d/DREAM3DReview/blob/develop/Test/Python/Apply_Transformation_To_Geometry.py file for inspiration.
In that example we are using a transformation matrix but see if you can figure out how to use just a scaling factor in each direction. Try out a scaling factor of 10x in each direction just to make it obvious when the data is viewed.
Write out the dream3d file before the transformation and after then use ParaView to view the results and verify that you have successfully scaled the vertices.
