Skip to content

Commit

Permalink
Merge pull request #269 from pynapple-org/bump0.6.3
Browse files Browse the repository at this point in the history
Bumping 0.6.3
  • Loading branch information
gviejo authored Apr 17, 2024
2 parents 5f99532 + 2a310a5 commit ce38e52
Show file tree
Hide file tree
Showing 5 changed files with 13 additions and 4 deletions.
9 changes: 9 additions & 0 deletions docs/HISTORY.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,15 @@ In 2018, Francesco started neuroseries, a Python package built on Pandas. It was
In 2021, Guillaume and other trainees in Adrien's lab decided to fork from neuroseries and started *pynapple*. The core of pynapple is largely built upon neuroseries. Some of the original changes to TSToolbox made by Luke were included in this package, especially the *time_support* property of all ts/tsd objects.


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)
------------------

Expand Down
2 changes: 1 addition & 1 deletion pynapple/__init__.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
__version__ = "0.6.2"
__version__ = "0.6.3"
from .core import IntervalSet, Ts, Tsd, TsdFrame, TsdTensor, TsGroup, TsIndex, config
from .io import *
from .process import *
2 changes: 1 addition & 1 deletion pynapple/core/time_series.py
Original file line number Diff line number Diff line change
Expand Up @@ -471,7 +471,7 @@ def smooth(self, std, windowsize=None, time_units="s", size_factor=100, norm=Tru
`norm` set to True normalizes the gaussian kernel to sum to 1.
In the following example, a time series `tsd` with a sampling rate of 100 Hz
is convolved with a non-normalized gaussian kernel. The standard deviation is
is convolved with a gaussian kernel. The standard deviation is
0.05 second and the windowsize is 2 second. When instantiating the gaussian kernel
from scipy, it corresponds to parameters `M = 200` and `std=5`
Expand Down
2 changes: 1 addition & 1 deletion pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"

[project]
name = "pynapple"
version = "0.6.2"
version = "0.6.3"
description = "PYthon Neural Analysis Package Pour Laboratoires d’Excellence"
readme = "README.md"
authors = [{ name = "Guillaume Viejo", email = "guillaume.viejo@gmail.com" }]
Expand Down
2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/pynapple-org/pynapple',
version='v0.6.2',
version='v0.6.3',
zip_safe=False,
long_description_content_type='text/markdown',
download_url='https://github.com/pynapple-org/pynapple/archive/refs/tags/v0.6.0.tar.gz'
Expand Down

0 comments on commit ce38e52

Please sign in to comment.