Hi Tim,
We have a dataset that ranges from 0 to 7 and represents categorical data. Is
it possible through a python script to explicitly set the tick labels on a
scalar bar so I can manually map them to strings? For instance:
{0.0 - None, 1.0 - I, 2.0 - J,...}
In version 3.98 of Paraview, you can do the following at the Python shell in
ParaView:
# Unfortunately, there is not an easy way to access the Brewer color presets
from Python;
# Here is one of the categorical schemes:
nanColor=[0.7019607843137254, 0.7019607843137254, 0.7019607843137254]
rgbPoints=[0, 0.4,0.7607843137254902, 0.6470588235294118, \
1, 0.9882352941176471, 0.5529411764705883, 0.3843137254901961, \
2, 0.5529411764705883, 0.6274509803921569, 0.796078431372549, \
3, 0.9058823529411765, 0.5411764705882353, 0.7647058823529411, \
4, 0.6509803921568628, 0.8470588235294118, 0.32941176470588235, \
5, 1.0,0.8509803921568627, 0.1843137254901961, \
6, 0.8980392156862745, 0.7686274509803922, 0.5803921568627451, \
7, 0.7019607843137254, 0.7019607843137254, 0.7019607843137254]
# Create a vector of strings holding scalar values and their annotations:
annotations = ['0', 'None', '1', 'I', '2', 'J', '3', 'K', '4', 'L', '5', 'M',
'6', 'N', '7', 'P']
# Create a categorical lookup table
lkup = CreateLookupTable(\
RGBPoints=rgbPoints, NanColor=nanColor, IndexedLookup=1,
Annotations=annotations, ColorSpace=HSV)
# Color by the new lookup table:
SetDisplayProperties(LookupTable = lkup)
SetDisplayProperties(ColorAttributeType = CELL_DATA) # or POINT_DATA
SetDisplayProperties(ColorArrayName = YourCategoricalArray)
Render()
David
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