Releases#

0.10.1 (2025-10-30)#

  • Fixing smoothing for nap.decode_bayes.

  • Fixing np.einsum.

0.10.0 (2025-10-27)#

  • Generalizing nap.compute_tuning_curves. It can take any time series object (Tsd, TsdFrame, TsGroup, TsdTensor) as input and work for any dimension of data.

  • nap.compute_1d_tuning_curve, nap.compute_2d_tuning_curve, nap.compute_1d_tuning_curve_continuous, nap.compute_2d_tuning_curve_continuous are being deprecated in favor of the general nap.compute_tuning_curves.

  • Generalization of nap.decode_1d and nap.decode_2d to nap.decode_bayes for bayesian decoding of any dimension of data.

  • New function nap.decode_template for template matching decoding of any dimension of data.

  • Metadata can be restricted with restrict_info.

  • New function detect_oscillatory_events to detect oscillatory events in a Tsd object.

  • Fix TsdFrame __repr__ for boolean data type.

  • Refactoring of nap.compute_mutual_information to take as input xarray tuning curves object.

  • in_interval method for IntervalSet to check if time points are within intervals.

  • Refactoring nap.compute_discrete_tuning_curves to compute_response_per_epoch.

  • Tuning curves function can return spike counts and occupancy separately.

0.9.2 (2025-06-16)#

  • Implement time_diff method for time series objects

  • Implement nap.compute_isi_distribution, which uses time_diff to compute the distribution of inter spike intervals

  • Fix IntervalSet and TsGroup __repr__

  • Fix backward compatibility for loading old npz files.

0.9.1 (2025-06-04)#

  • Fix TsdFrame __repr__

0.9.0 (2025-05-13)#

  • New private class: _MetadataMixin and _Metadata(UserDict) (core/metadata_class.py). Can be inherited by:

    • IntervalSet

    • TsdFrame

    • TsGroup This class assumes that whatever is inheriting it has the private property self._initialized. metadata: public read-only view of metadata

  • Add a decimate method to _BaseTsd.

  • Adds support for a new derivative method which wraps np.gradient with support for epochs and time index

0.8.5 (2025-03-24)#

  • Implements nap.build_tensor and nap.warp_tensor for trial-based data.

  • Fix horizontal slicing for TsdFrame (Issue )

  • Fix empty TsGroup. The rate attribute was not added to the metadata dataframe.

  • New example notebook : Trial-aligned choice decoding in International Brain Lab data

  • Set pynapple version dynamically by reading the github tag.

0.8.4 (2025-02-07)#

  • Fix value printing of IntervalSet when rows are collapsed

  • Backward compatibility fix for loading npz files with TsGroup

  • Fix indexing of IntervalSet to be able to use -1

  • Add column names for compute_wavelet_transform

0.8.3 (2025-01-24)#

  • compute_mean_power_spectral_density computes the mean periodogram.

0.8.2 (2025-01-22)#

  • compute_power_spectral_density now computes the periodogram, where previously it was only computing the FFT

  • compute_fft has been added that contains the old functionality of compute_power_spectral_density.

0.8.1 (2025-01-17)#

  • Bugfix : time support was not updated for bin_average and interpolate with new _initialize_tsd_output method

0.8.0 (2025-01-15)#

  • New private class: _MetadataMixin (core/metadata_class.py). Can be inherited by IntervalSet, TsdFrame and TsGroup.

  • decode_1d and decode_2d now accepts TsdFrame as input.

0.7.1 (2024-09-24)#

  • 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.

0.7.0 (2024-09-16)#

  • 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

0.6.6 (2024-05-28)#

  • Full lazy-loading for NWB file.

  • Parameter load_array for time series can prevent loading zarr array

  • Function to merge a list of TsGroup

0.6.5 (2024-05-14)#

  • Full pynajax backend compatibility

  • Fixed TsdFrame column slicing

0.6.4 (2024-04-18)#

  • Fixing IntervalSet __repr__. Tabulate conflict with numpy 1.26.

0.6.3 (2024-04-17)#

  • 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

0.6.2 (2024-04-04)#

  • 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

  • Tsds can be concatenate vertically if time indexes matches.

0.6.1 (2024-03-03)#

  • Fixed pynapple loc method for new IntervalSet

0.6.0 (2024-03-02)#

  • 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).

0.5.1 (2024-01-29)#

  • Implementing event_trigger_average for all dimensions.

  • Hiding jitted functions from users.

0.5.0 (2023-12-12)#

  • 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

0.4.1 (2023-10-30)#

  • Implementing get method that return both an interval or the closest timepoint

0.4.0 (2023-10-11)#

  • Implementing the numpy array container approach within pynapple

  • TsdTensor for objects larger than 2 dimensions is now available

0.3.6 (2023-09-11)#

  • Fix issue in NWB reader class with units

  • Implement a linear interpolation function.

0.3.5 (2023-08-08)#

  • NWB reader class

  • NPZ reader class

  • Folder class for navigating a dataset.

  • Cross-correlograms function can take tuple

  • New doc with mkdocs-gallery

0.3.4 (2023-06-29)#

  • TsGroup.to_tsd and Tsd.to_tsgroup transformations

  • count can take IntervalSet

  • Saving to npz functions for all objects.

  • tsd.value_from can take TsdFrame

  • Warning message for deprecating current IO.

0.3.3 (2023-04-17)#

  • Fixed minor bug with tkinter

0.3.2 (2023-04-12)#

  • PyQt removed from the list of dependencies

0.3.1 (2022-12-08)#

  • Core functions rewritten with Numba

0.2.4 (2022-05-02)#

0.2.3 (2022-04-05)#

  • Fixed minor bug when saving DLC in NWB.

0.2.3 (2022-04-05)#

  • Alpha release

0.2.2 (2022-04-05)#

  • Beta testing version for public

0.2.1 (2022-02-07)#

  • Beta testing version for Peyrache Lab.

0.2.0 (2022-01-10)#

  • First version for pynapple with main features in core, process and IO.

0.2.0 Pre-release (2022-01-06)#

  • Pre-release version for pynapple with main features in core and process.

0.1.1 (2021-10-25)#

  • First release on PyPI.

  • Firt minimal version