Variography

import geolime as geo
from pyproj import CRS
import numpy as np
import pyvista as pv

pv.set_jupyter_backend('panel')


geo.Project().set_crs(CRS("EPSG:20350"))

/tmp/ipykernel_3153/3544329244.py:6: PyVistaDeprecationWarning: `panel` backend is deprecated and is planned for future removal.
  pv.set_jupyter_backend('panel')

dh = geo.read_file("../data/dh_pop_classif.geo")

dh.user_properties()

['X_COLLAR',
 'Y_COLLAR',
 'Z_COLLAR',
 'X_M',
 'Y_M',
 'Z_M',
 'X_B',
 'Y_B',
 'Z_B',
 'X_E',
 'Y_E',
 'Z_E',
 'Fe_pct',
 'Al2O3',
 'SiO2_pct',
 'K2O_pct',
 'CaO_pct',
 'MgO_pct',
 'TiO2_pct',
 'P_pct',
 'S_pct',
 'Mn_pct',
 'Fe_ox_ai',
 'hem_over_goe',
 'kaolin_abundance',
 'kaolin_composition',
 'wmAlsmai',
 'wmAlsmci',
 'carbai3pfit',
 'carbci3pfit',
 'Sample_ID',
 'Fe',
 'Fe2o3',
 'P',
 'S',
 'SiO2',
 'MnO',
 'Mn',
 'CaO',
 'K2O',
 'MgO',
 'Na2O',
 'TiO2',
 'LOI_100',
 'Depth',
 'ellipsoidal_distance',
 'OreZone',
 'domain_code',
 'domain',
 'manual_classif_code',
 'manual_classif',
 'sk_classif_code',
 'sk_classif']

dh.regions()

[]

Data Selection

domain_solid = geo.datasets.load("rocklea_dome/domain_mesh.dxf")
domain_solid.name

'OreZone'

domain_solid.contains(dh)

domain_solid_pv = domain_solid.to_pyvista()
dh_pv = dh.to_pyvista('in_OreZone')

plotter = pv.Plotter()

plotter.add_mesh(domain_solid_pv, style="wireframe")
plotter.add_mesh(dh_pv.tube(radius=20))

plotter.set_scale(zscale=10)
plotter.show()