Tests pandas module#260
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Graph Functionality Enhancements:
to_undirectedmethod insrc/pathpyG/core/graph.pyto manually handle undirected edge creation, ensuring compatibility with numpy-based edge attributes. Removed reliance onToUndirectedtransform.Temporal Graph Improvements:
__getitem__method insrc/pathpyG/core/temporal_graph.pyfor accessing graph attributes, node attributes, and edge attributes using keys, including support for temporal edges.tedge_to_index-map initialised in the__init__method ofsrc/pathpyG/core/temporal_graph.py, enabling mapping of edges with timestamps to their indices inedge_index.DataFrame Parsing Enhancements:
_parse_timestampfunction insrc/pathpyG/io/pandas.pyto handle timestamp parsing and rescaling in DataFrame columns, improving code readability_parse_df_columnto support additional data types like lists and tuples, ensuring robust parsing of DataFrame attributes into graph data objects.Logging and Error Handling:
printstatements withlogger.debugor raised exceptions insrc/pathpyG/io/pandas.pyto improve error handling and debugging.Testing
pathpyG.io.pandasmodule, increasing the total code coverage by 3% 🎉