geost.models.VoxelModel#

class geost.models.VoxelModel(ds: Dataset)[source]#

Methods

`__init__`(ds)
`from_netcdf`(nc_path[, data_vars, bbox, lazy])	Read data from a NetCDF file of a voxelmodel data into a VoxelModel instance.
`from_opendap`(url[, data_vars, bbox, lazy])	Download an area of a voxelmodel directly from an OPeNDAP data server.
`get_thickness`(condition[, depth_range])	Generate a thickness array of voxels in the VoxelModel that meet one or more conditions.
`isel`(**xr_kwargs)	Use Xarray selection functionality to select indices along specified dimensions.
`most_common`(variable)	Determine the "most common" value and corresponding thickness in a variable of a VoxelModel.
`sel`(**xr_kwargs)	Use Xarray selection functionality to select indices along specified dimensions.
`select_bottom`()
`select_by_values`()
`select_surface_level`()
`select_top`()
`select_with_line`()
`select_with_points`(points)	Select voxel columns at the locations of point geometries.
`select_within_bbox`()
`select_within_polygons`()
`slice_depth_interval`([upper, lower, how, drop])	Slice a specified depth interval from the VoxelModel between upper and lower bounds.
`to_pyvista_grid`([data_vars, structured])	Convert the VoxelModel to a PyVista grid.
`value_counts`(variable[, dim, normalize])	Return a DataArray containing the value counts of unique values in a VoxelModel variable.
`zslice_to_tiff`()

Attributes

`crs`
`horizontal_bounds`
`resolution`	Return a tuple (dy, dx, dz) of the VoxelModel resolution.
`shape`
`sizes`
`variables`
`vertical_bounds`
`xmax`
`xmin`
`ymax`
`ymin`
`zmax`
`zmin`