V0.6.2

• smooth now takes standard deviation in time units
• Fixed TsGroup saving method.
• __getattr__ of BaseTsd allow numpy functions to be attached as attributes of Tsd objects
• Added get method for TsGroup

v0.6.1

Fixed pynapple loc method for new IntervalSet

v0.6.0

• Refactoring IntervalSet to pure numpy ndarray.
• Implementing new chain of inheritance for time series with abstract base class. base_class.Base holds the temporal methods for all time series and Ts. time_series.BaseTsd inherit Base and implements the common methods for Tsd, TsdFrame and Tsd.
• Automatic conversion to numpy ndarray for all objects that are numpy-like (typically jax).

v0.5.1

• Implemented compute_event_trigger_average for all dimensions. Useful for computing spike trigger average with movies as input feature.
• Remove jitted_functions from the list of directly accessible methods

v0.5.0

• Removing GUI stack from pynapple. To create a NWB file, users need to install nwbmatic (https://github.com/pynapple-org/nwbmatic)
• Implementing compute_perievent_continuous
• Implementing convolve for Tsd, TsdFrame and TsdTensor
• Implementing smooth for fast gaussian smoothing of time series

V0.4.1

Implementing the get method. Fixing bug in the representation of the TsdTensor

v0.4.0

The core of pynapple relies on the numpy array container approach. Removing pandas 2.0 limit.

v0.4.0a1

Alpha release for the new pynapple core using numpy array container

V0.3.6

Fixed small bug when parsing metadata in nwb objects.
Implemented interpolation.

v0.3.5

NWB reader, NPZ reader, Folder interface, new documentation with mkdocs-gallery