geost.base.CptCollection#

class geost.base.CptCollection(*args, **kwargs)[source]#

__init__(header: HeaderObject, data: DataObject)#

Methods

`__init__`(header, data)
`add_header_column_to_data`(column_name)	Add a column from the header to the data table.
`change_horizontal_reference`(to_epsg)	Change the horizontal reference (i.e. coordinate reference system, crs) of the collection to the given target crs.
`change_vertical_reference`(to_epsg)	Change the vertical reference of the collection object's surface levels
`check_header_to_data_alignment`()	Two-way check to warn of any misalignment between the header and data attributes.
`get`(selection_values[, column])	Get a subset of a collection through a string or iterable of object id(s).
`get_area_labels`(polygon_gdf, column_name[, ...])	Find in which area (polygons) the point data locations fall.
`get_cumulative_layer_thickness`()
`get_layer_top`()
`reset_header`()	Refresh the header based on the loaded data in case the header got messed up.
`select_by_condition`(condition[, invert])	Select from collection.data using a manual condition that results in a boolean mask.
`select_by_depth`([top_min, top_max, end_min, ...])	Select data from depth constraints.
`select_by_length`([min_length, max_length])	Select data from length constraints: e.g. all boreholes between 50 and 150 m long.
`select_by_values`(column, selection_values[, how])	Select data based on the presence of given values in a given column.
`select_with_lines`(lines, buffer[, invert])	Make a selection of the collection based on line geometries.
`select_with_points`(points, buffer[, invert])	Make a selection of the collection based on point geometries.
`select_within_bbox`(xmin, ymin, xmax, ymax[, ...])	Make a selection of the collection based on a bounding box.
`select_within_polygons`(polygons[, buffer, ...])	Make a selection of the collection based on polygon geometries.
`slice_by_values`(column, selection_values[, ...])	Slice rows from data based on matching condition.
`slice_depth_interval`([upper_boundary, ...])	Slice data based on given upper and lower boundaries.
`to_csv`(outfile[, data_table])	Export the data or header table to a csv file.
`to_datafusiontools`(columns[, outfile, ...])	Export all data to the core "Data" class of Deltares DataFusionTools.
`to_geopackage`(outfile, **kwargs)	Write header data to geopackage.
`to_geoparquet`(outfile, **kwargs)	Write header data to geoparquet.
`to_multiblock`(data_columns[, radius, ...])	Create a Pyvista MultiBlock object from the data that can be used for 3D plotting and other spatial analyses.
`to_parquet`(outfile[, data_table])	Export the data or header table to a parquet file.
`to_shape`(outfile, **kwargs)	Write header data to shapefile.
`to_vtm`(outfile, data_columns[, radius, ...])	Save data as VTM (Multiblock file, an XML VTK file pointing to multiple other VTK files) for viewing in external GUI software like ParaView or other VTK viewers.

Attributes

`data`	The collection's data.
`has_inclined`	Boolean indicating whether there are inclined objects within the collection
`header`	The collection's header.
`horizontal_reference`	Coordinate reference system represented by an instance of pyproj.crs.CRS.
`n_points`	Number of objects in the collection.
`vertical_reference`	Vertical datum represented by an instance of pyproj.crs.CRS.