Trackpy v0.2

Version 0.2

The version contains significant enhancements, including:

• Much-improved feature-finding, merged from Daniel Allan's mr project (feature.py, replacing identification.py) with uncertainty estimation, along with tools for filtering, analyzing, and plotting trajectories
• Prediction framework for tracking particles whose motion is correlated between frames (Nathan Keim)
• KDTree-based linking, merged from Nathan Keim's branch of trackpy, which is 2X faster on typical data
• Numba-accelerated linking and feature-finding, falling back on pure Python if numba is not available
• Features for processing large data sets "out of core" (on disk)
• Access to different linking strategies through keyword arguments (Type help(link) or help(link_df) for details.)
• Simple, fast way to read and write data in files; easily extensible to formats used by individual research groups
• A set of examples and guides, provided separately