Pyactigraphy

This release contains new features:

* Activity reports: summary statistics about time spent above user-defined activity cut points (See [pyActigraphy.io.BaseRaw.create_activity_report](https://ghammad.github.io/pyActigraphy/BaseRaw.html#pyActigraphy.io.BaseRaw.create_activity_report)_ function).
* Biobank Accelerometer Analysis file format: new reader function for files generated by the [accelerometer](https://biobankaccanalysis.readthedocs.io/en/latest/) package that reads, calibrates and processes raw accelerometer data from Axivity AX3 and Activinsights GeneActiv devices (see [pyActigraphy.io.read_raw_bba](https://ghammad.github.io/pyActigraphy/_autosummary/pyActigraphy.io.read_raw_bba.html#pyActigraphy.io.read_raw_bba) function).
* Actiwatch (CamNtech) file format: support for files acquired with various Actiwatch models (Actiwatch 4, 7, L(-Plus), Mini, I(nsonmia), T(emperature))
* Actigraph AGD reader: light channel handled with pyLight, if available.

This release contains a new module, [pyLight](https://ghammad.github.io/pyActigraphy/index.html#pylight), dedicated to the analysis of light exposure data. Please, see the corresponding section in [Tutorials](https://ghammad.github.io/pyActigraphy/tutorials.html#pylight-examples) for more info.

This first official release includes all the features documented in the companion paper which has been submitted to the PLOS Computational Biology journal.

Happy actigraphing!

This first release candidate includes all the features foreseen for the v1.0 release.
It will also serve as a basis, after potential bug fixes, for the v1.0 release which will be documented in the companion paper which is about to be submitted.

Happy actigraphing!

G.

This release contains some major improvements with respect to the previous release.

Happy actigraphying!

This release has been successfully tested and is now ready to be used for analysis.

Happy actigraphying!

Best regards,

Grégory