Extract Array to Table

This example will demonstrate how to extract an array from any input data set to make a pyvista.Table of that single data array. Aftwards, we plot a histogram of that data array.

This example demos PVGeo.filters.ExtractArray

import matplotlib.pyplot as plt
from pyvista import examples

from PVGeo.filters import ExtractArray

Create input data

dataset = examples.download_st_helens()

Construct the filter

filt = ExtractArray()
# Define the array to extract
# Apply the filter on the input
table = filt.apply(dataset, 'Elevation')
table

Header	Data Arrays
Table Information N Rows 152709 N Arrays 1	Name Type N Comp Min Max Elevation float32 1 6.820e+02 2.543e+03

plt.hist(table['Elevation'])

Out:

(array([14075., 31732., 38605., 28616., 13749.,  9270.,  7174.,  4687.,
        3199.,  1602.]), pyvista_ndarray([ 682. ,  868.1, 1054.2, 1240.3, 1426.4, 1612.5, 1798.6,
                 1984.7, 2170.8, 2356.9, 2543. ], dtype=float32), <BarContainer object of 10 artists>)