geost.accessor.GeostFrame#

class geost.accessor.GeostFrame(dataframe: DataFrame)[source]#

__init__(dataframe: DataFrame)[source]#

Methods

`__init__`(dataframe)
`add_model_data`(model, *[, data_vars, ...])	Add information from one or more variables from a voxelmodel or layermodel as columns.
`aggregate_consecutive_layers`(over[, ...])	Aggregate consecutive layers in a DataFrame over columns that have the same value or values for consecutive rows.
`calculate_thickness`()	Calculate the thickness of layers in the data.
`compute_discretized_fractions`(column, ...[, ...])	Calculate the fraction of each categorical value in the specified column within a given depth discretization.
`create_linestrings_3d`([crs, x_end, y_end])	Helper method for export method "to_qgis3d" to create the necessary GeoDataFrame containing 3D Shapely objects and associated information.
`determine_end_depth`()	Determines the end depth of each survey in the data, by looking at the difference between the surface and the bottom of the last layer in each survey.
`find_point_pairs`(points, max_distance[, ...])	Find pairs of points between the data and the given query points that are within a specified maximum distance.
`get_cumulative_thickness`(column, values)	Get the cumulative thickness of layers where a column contains a specified search value or values, or falls within a specified range.
`get_layer_base`(column, values[, min_thickness])
`get_layer_top`(column, values[, ...])	Find the top depth in individual survey ids where a column in a Pandas DataFrame contains specified search value or values, or falls within a specified range.
`merge_sorted`(other[, keep_surveys, ...])	Insert intervals from another DataFrame into the current DataFrame, sorted by survey and depth.
`select_by_condition`(condition[, invert])	Do a condition-based selection on the DataFrame or GeoDataFrame: return the rows in the data where the 'condition' evaluates to True, see examples below.
`select_by_elevation`([top_min, top_max, ...])	Select data based on the elevation of the top and/or end of the survey.
`select_by_length`([min_length, max_length])	Select data based on the length of the survey, which is determined by the difference between the surface and the end of the survey.
`select_by_values`(column, values[, how, ...])	Select data based on the presence of values in a given column.
`select_with_lines`(lines, max_distance[, invert])	Select all data that lie within a maximum distance from given line geometries.
`select_with_points`(points, max_distance[, ...])	Select all data that lie within a maximum distance from given point geometries.
`select_within_bbox`(xmin, ymin, xmax, ymax[, ...])	Select data within a specified bounding box (xmin, ymin, xmax, ymax).
`select_within_polygons`(polygons[, buffer, ...])	Select all data that lie within given polygon geometries.
`slice_by_values`(column, values[, invert, ...])	Slice rows from data based on matching condition.
`slice_depth_interval`([upper_boundary, ...])	Slice data based on given upper and lower boundaries.
`spatial_join`(geometries, label_id[, ...])	Join information from another GeoDataFrame by a spatial relationship (e.g. overlap) between the geometries in the original GeoDataFrame with the geometries in the other GeoDataFrame.
`standardize_column_names`()	Standardize column names to a consistent format used in GeoST.
`to_collection`([crs, vertical_datum, ...])	Create a `geost.base.Collection` from the current GeoDataFrame or DataFrame.
`to_crs`(crs)	Change the coordinate reference system (CRS) to a given target CRS.
`to_geopackage_3d`(outfile[, crs, x_end, y_end])	Write data to geopackage file containing a layer "locations" with point geometries and a layer "3dlines" with 3D line geometries.
`to_header`([include_columns, ...])	Create a header GeoDataFrame from the DataFrame to be used as a header table for the creation of a `Collection` object.
`to_kingdom`(outfile[, tdstart, vw, vs])	Write data to 2 csv files: 1) interval data and 2) time-depth chart.
`to_pyvista_cylinders`(displayed_variables[, ...])	Create a Pyvista MultiBlock object of cylinder-shaped geometries to represent boreholes.
`to_pyvista_grid`(displayed_variables[, radius])	Create a PyVista UnstructuredGrid object of the data in this instance.
`to_qgis3d`(outfile[, crs])	Write data to geopackage file that can be directly loaded in the Qgis2threejs plugin.
`to_vertical_datum`(vertical_datum)	Change the vertical datum of the object's surface levels.
`transform_coordinates`(original_crs, target_crs)	Transform the coordinates of GeoDataFrame or DataFrame to a given coordinate reference system (CRS).
`validate`([return_result])	Validate the DataFrame by checking for the presence of crucial information, data types and consistency of the data.

Attributes

`first_row_survey`	Get a boolean mask indicating the locations of new survey IDs in the data.
`has_depth_columns`	Returns True if the object contains information about depth, such as 'top' and 'bottom' or 'depth' columns, False otherwise.
`has_geometry`	Returns True if the object is a GeoDataFrame with a valid geometry column, False otherwise.
`has_surface_column`	Returns True if the object contains a surface column, False otherwise.
`has_xy_columns`	Returns True if the object contains x and y columns, False otherwise.
`is_layered`	Returns True if the object contains layered data, i.e. both 'top' and 'bottom' columns, False otherwise.
`last_row_survey`	Get a boolean mask indicating the locations of the last row in each survey.
`nr`	Return the survey ID column as a pandas Series.
`positional_columns`