geolime.operations.grid

• geolime.operations.grid.editing
• geolime.operations.grid.geometry_calculations
• geolime.operations.grid.utils

Classes:

BlockModel(data, metadata)
Polygon(data, metadata)
Proj(projparams, preserve_units, **kwargs)	Performs cartographic transformations.
SortingRank(value)	An enumeration.
StatKind(value)	An enumeration.
Surface(data, mesh, metadata)

Data:

List	The central part of internal API.

Functions:

check_grid_above_surf(bm, surface, …)	Write in a dataframe for each block if above or under a surface
coord_to_lat_lon(bm[, proj_in])	Take x,y,z column of dataframe and convert x/y to latitude/longitude in two new columns proj_in by default is Lambert 93 out_proj (espg:4326) corresponds to lat/lon official reference
create_mplcontour_from_grid(bm, column[, …])	Creates a matplotlib contour from a bm and a property.
df_xy_to_arr2d(bm[, attribute])	Take x,y,z column of bm to make a 2D array, with attribute as values.
extend_grid_2d(bm, extension)	Extends a regular 2d bm with a given extension.
fill_missing_x_y(bm)	”
flatten_grid(bm[, sorting_type])	Flatten a DataFrame that has many rows with same (x,y).
gdf_from_image(image, pixel_resolution, origin)	Transform image (numpy 2D array) into a geopandas dataframe.
guess_dx_dy(x_array[, y_array, z_array])	Return the dx,dy of a grid guess from the x,y values
polygon_from_bm(bm, column, crs[, classes, …])	Creates Polygon object from a 3D BlockModel, a property, a CRS, and list of thresholds (ie: cut off grades).
transform(p1, p2, x, y[, z, tt, radians, …])	New in version 2.1.2: skip_equivalent
vertical_intersection(x, y, surface)	Compute the z coordinates of the vertical intersection between a Trimesh triangulated mesh and a (x,y) coordinates.