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 _______________________________________________ Powered by www.kitware.com Visit other Kitware open-source projects at http://www.kitware.com/opensource/opensource.html Please keep messages on-topic and check the ParaView Wiki at: http://paraview.org/Wiki/ParaView Follow this link to subscribe/unsubscribe: http://www.paraview.org/mailman/listinfo/paraview