v1.2.2

Refactors internal references to geographic IDs in network tables to prevent confusion between network table columns and what GeoJSON expects. Also applies year suffixes to column names within clustering_prep so users no longer have to manually add year suffixes to function arguments.

v1.2.0

This release adds the option for data in network tables to be weighted by 1/n, where n is the number of times that data point appears in the column (e.g. average home value in 2006). This helps mitigate bias in clustering and data analysis arising from data that appears in multiple temporal paths having outsize influence. Note that data is always weighted for clustering, but the NetworkTable object is not weighted unless the user sets the weighted parameter to True.

v1.1.3

Fixes issue with references to PDataFrame preventing piccard import without ppandas installation

v1.1.2

same as 1.1.1 but with author name change showing up on PyPI

v1.1.1

• support added for data mismatches in prob_reasoning
• test suite with conftest.py
• relative package imports
• imports updated to support public API usage

v1.0.2

Working version of piccard with full network creation, clustering, visualization and analysis, and VariableLinker functionality.
See https://pypi.org/project/piccard/1.0.2/ for installation instructions.