Peartree Versions Save

This release just addresses 2 reported issues:

• OSMnx API had changed so the plotter was broken
• There was a warning being emitted when using a mask operation in one of the graph analysis workflows

• Housekeeping upgrades for pandas, numpy, scipy
• New attributes on nodes (modes at node as list)
• Allow custom wait time as a parameter
• Logger on coalesce function

• Reduce processed trip selection to only those within service times parameters (https://github.com/kuanb/peartree/commit/85daf756885b9e2afb87b98b72b35a01876d3c5c)
• Wait time estimation ignores overweighting of zero values (https://github.com/kuanb/peartree/commit/e9b038f7b1fe3e6e1a60895841a00a076b441d5c)
• Wait time estimation can account for service time start and end parameters (https://github.com/kuanb/peartree/commit/a9ef0bd4d13796ead921d9d575834e5fe6fa9e95)
• Safer direction id handling (https://github.com/kuanb/peartree/commit/0c5073d8b62a49ea299e8e2c2df1369fc4dcb3ea)
• More careful testing around single stop/arrival stop-schedule pairs (https://github.com/kuanb/peartree/commit/fbd32f1d971558f7f32530c99d43e7891b185b00)

Note: Also included were the two changes included in v0.6.1 which failed to get a release on Github. Updates pertinent to that version are the following:

• Auto detection of transfer points when ingesting custom transit line transitJSON
• Pinning partridge dependency to >= 1.0.0 with new Feed class

• Update partridge dependency
• Improved Docker container creation (support for graph-tool)
• graph-tool export feature
• Class-based transitJSON validation
• Consolidate OSMnx dependency
• Resolve CRS reset bug
• Significant increase in documentation for library methods

• Handle when only on trip exists within the target time frame
• Avoid errors related to no valid wait times being able to be parsed (due to single trip)

• Reduce stop times calculations within route processing through timeframe trimming
• Remove append operations on pandas DataFrames inside RouteProcessor
• Overall 2/3 reduction in run time, on average, to process a new GTFS feed
• Resolve direction ids being NaN only some of the time by dealing with direction id on a per-route level
• Parallelization of intermediary stop times imputation

Primary enhancements:

• Multiprocessing support for interpolating stop times
• Read and write parsed network graphs to disk

• Resolve annoying behavior on import with matplotlib being called and a figure plotted immediately on import

• Custom stop coordinates for synthetic routes
• Drop duplicate edges during simplify operation
• Updates to Makefile scripts
• Assorted refactoring

• Refactor map operation for multiprocessing pool
• MultiDiGraph to DiGraph converter
• Simplify graph method
• Refactor of coalesce to deal with lost edges problem