cugraph.structure.NumberMap

class cugraph.structure.NumberMap(renumber_id_type=<class 'numpy.int32'>, unrenumbered_id_type=<class 'numpy.int32'>, is_renumbered=False)

Methods

add_internal_vertex_id(df[, id_column_name, ...])	Given a collection of external vertex ids, return the internal vertex ids combined with the input data.
compute_vals(column_names)	Helper function to compute internal column names based on external column names
compute_vals_types(df, column_names)	Helper function to compute internal column names and types
from_internal_vertex_id(df[, ...])	Given a collection of internal vertex ids, return a DataFrame of the external vertex ids
generate_unused_column_name(column_names[, ...])	Helper function to generate an unused column name
renumber_and_segment(df, src_col_names, ...)	Given an input dataframe with its column names, this function returns the renumbered dataframe(if renumbering occured) along with a mapping from internal to external vertex IDs.
set_renumbered_col_names(...)	Sets self.renumbered_src_col_name and self.renumbered_dst_col_name to values that can be used to replace src_col_names_to_replace and dst_col_names_to_replace to values that will not collide with any other column names in all_col_names.
to_internal_vertex_id(df[, col_names])	Given a collection of external vertex ids, return the internal vertex ids
unrenumber(df, column_name[, ...])	Given a DataFrame containing internal vertex ids in the identified column, replace this with external vertex ids.

MultiGPU
SingleGPU
renumber
vertex_column_size

__init__(renumber_id_type=<class 'numpy.int32'>, unrenumbered_id_type=<class 'numpy.int32'>, is_renumbered=False)

Methods

__init__([renumber_id_type, ...])
add_internal_vertex_id(df[, id_column_name, ...])	Given a collection of external vertex ids, return the internal vertex ids combined with the input data.
compute_vals(column_names)	Helper function to compute internal column names based on external column names
compute_vals_types(df, column_names)	Helper function to compute internal column names and types
from_internal_vertex_id(df[, ...])	Given a collection of internal vertex ids, return a DataFrame of the external vertex ids
generate_unused_column_name(column_names[, ...])	Helper function to generate an unused column name
renumber(df, src_col_names, dst_col_names[, ...])
renumber_and_segment(df, src_col_names, ...)	Given an input dataframe with its column names, this function returns the renumbered dataframe(if renumbering occured) along with a mapping from internal to external vertex IDs.
set_renumbered_col_names(...)	Sets self.renumbered_src_col_name and self.renumbered_dst_col_name to values that can be used to replace src_col_names_to_replace and dst_col_names_to_replace to values that will not collide with any other column names in all_col_names.
to_internal_vertex_id(df[, col_names])	Given a collection of external vertex ids, return the internal vertex ids
unrenumber(df, column_name[, ...])	Given a DataFrame containing internal vertex ids in the identified column, replace this with external vertex ids.
vertex_column_size()