v0.6.0

This release focuses on fixing bugs and some inconsistencies in the prediction
capabilities. Some existing code that used prediction may now fail to run until
a (minor) update is made.

This release includes contributions by @magnunor, @freemansw1, @crisp-snakey,
@rbnvrw, @caspervdw, @tacaswell, and @nkeim.

Enhancements

• Linking can now use any DistanceMetric class from sklearn to compute
  distances (#692 by @freemansw1)
• Several documentation fixes by @magnunor and @nkeim

API Changes

• When supplying an initial velocity guess to NearestVelocityPredict or
  DriftPredict, you must also supply the pos_columns argument to identify
  the names of the columns in your array. (For example,
  "pos_columns = ['y', 'x']".) Otherwise, creating the predictor will
  raise an exception that explains this change. If you provide pos_columns
  when creating the predictor, you do not have to supply it when subsequently
  using the link_df() or link_df_iter() methods to link your features.
  (@nkeim, #710)
• reconnect_traj_patch() is now available as trackpy.reconnect_traj_patch
  and is described in the API documentation. (@nkeim, #648)

Bug Fixes

• When linking with prediction, the predictor now correctly uses the same
  position columns as the linker, and correctly handles the pos_columns
  argument if specified. (@nkeim, #710)
• The link_df() method of predictor objects now works correctly. (@nkeim, #710)

Dependencies

• trackpy is now being tested in conda environments with Python 3.10.
• trackpy is no longer tested with Python 3.6.
• trackpy now requires the looseversion package to work with newer scipy
  (@crisp-snakey, #706)
• Much work on testing and packaging infrastructure by @tacaswell and @caspervdw

Note: This release is tagged v0.6.0.1 on GitHub to address an issue with Zenodo DOI generation. There are no other differences between the GitHub version and the v0.6.0 packages.