Normalize Array

This example will demonstrate how to perform a normalization or any custom mathematical operation on a single data array for an input data set.

This filter allow the user to select an array from the input data set to be normalized. The filter will append another array to that data set for the output. The user can specify how they want to rename the array, can choose a multiplier, and can choose from two types of common normalizations: Feature Scaling and Standard Score.

This example demos PVGeo.filters.NormalizeArray

from pyvista import examples

from PVGeo.filters import NormalizeArray

Create some input data. this can be any vtkDataObject

mesh = examples.load_uniform()
title = "Spatial Point Data"
mesh.plot(scalars=title)

Static Scene

Interactive Scene

# Apply the filter
f = NormalizeArray(normalization="feature_scale", new_name="foo")
output = f.apply(mesh, title)
output

Header	Data Arrays
ImageData Information N Cells 729 N Points 1000 X Bounds 0.000e+00, 9.000e+00 Y Bounds 0.000e+00, 9.000e+00 Z Bounds 0.000e+00, 9.000e+00 Dimensions 10, 10, 10 Spacing 1.000e+00, 1.000e+00, 1.000e+00 N Arrays 3	Name Field Type N Comp Min Max Spatial Point Data Points float64 1 0.000e+00 7.290e+02 foo Points float64 1 0.000e+00 1.000e+00 Spatial Cell Data Cells float64 1 0.000e+00 5.120e+02

output.plot(scalars="foo")

Static Scene

Interactive Scene