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Latest version: v0.4.0

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0.4.0

- Added some functions to `field` to support automated remapping.
- See `field_reassignment_demo` for details.
- Added a function to `cmv` for identifying an optimum subset of CMV pairs.
- See `automate_cmv_demo` for details.
- Added additional statistics to the `jamaly` method's output within `cmv.compute_cmv`
- Added additional sample plant data for demonstration purposes.
- We now include two sample plants and sample data from the HOPE-Melpitz campaign at 1s and 10s resolution.
- Added additional demos, including Jupyter notebooks in some cases.
- `automate_cmv_demo` - Automated CMV pre-processing with HOPE-Melpitz data, includes a Jupyter notebook.
- `field_reassignment_demo` - Automated remapping of the field data, includes a Jupyter notebook.
- `field_demo_full_process` - Overview of the full field processing workflow
- `field_demo_full_process_multithread` - Same as previous but including multithreading support for speed
- Added tests of these new functions for more completeness.

0.3.5

- Add multi-column support to several functions in `stats`. Thanks to Scott Sheppard for the suggestion.

0.3.4

- Bug fix for handling and excluding NaN within `field`

0.3.3

- Major speed improvements to field analysis (vectorization of transfer function delays)
- ** Breaks backwards compatibility **

0.3.2

- Major speed improvements via vectorization of CMV
- ** Breaks backwards compatibility due to function signature changes **

0.3.1

- Expands `field` analysis capability
- Add comprehensive testing
- ** Breaks backwards compatibility **

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