V0.7.1

• Fixing nan issue when computing 1d tuning curve (See issue #334).
• Refactor tuning curves and correlogram tests.
• Adding validators decorators for tuning curves and correlogram modules.

V0.7.0

• Morlet wavelets spectrogram with utility for plotting the wavelets.
• (Mean) Power spectral density. Returns a Pandas DataFrame.
• Convolve function works for any dimension of time series and any dimensions of kernel.
• dtype in count function
• get_slice: public method with a simplified API, argument start, end, time_units. returns a slice that matches behavior of Base.get.
• _get_slice: private method, adds the argument "mode" this can be: "after_t", "before_t", "closest_t", "restrict".
• split method for IntervalSet. Argument is interval_size in time unit.
• Changed os import to pathlib.
• Fixed pickling issue. TsGroup can now be saved as pickle.
• TsGroup can be created from an iterable of Ts/Tsd objects.
• IntervalSet can be created from (start, end) pairs

V0.6.6

• Full lazy-loading for NWB file.
• Parameter load_array for time series can prevent loading zarr array
• Function to merge a list of TsGroup

V0.6.5

• Full pynajax backend compatibility
• Fixed TsdFrame column slicing

V0.6.4

• Fixing IntervalSet __repr__. Tabulate conflict with numpy 1.26.

V0.6.3

• Improving __repr__ for all objects.
• TsGroup __getattr__ and __setattr__ added to access metadata columns directly
• TsGroup __setitem__ now allows changes directly to metadata
• TsGroup __getitem__ returns column of metadata if passed as string

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