Nltools

Latest version: v0.5.1

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0.4.3

This releases drops Python 3.6 Support!

This is primarily a maintenance release that move ours testing, documentation, and deployment infrastructure to github actions and github-pages from travis CI and readthedocs. Our entire code base is now formatted using `black` and will enforce checks for all new commits and PRs. Documentation and PyPi uploading have also been configured to deploy on new releases (starting from this one).

Our documentation site has now moved to: https://nltools.org.

Bug Fixes
- `stats.fdr` now checks that the inputted array is within the range 0-1
- fix `int64` out-of-bounds test errors on Windows

Enchancements
- `Brain_Data` classes now support `Path` objects in addition to string path names
- `Simulator` classes now accept a `random_seed` for reproducibility

Deprecations
- Python 3.6 is no longer officially supported. Python 3.7, 3.8 are the current supported versions. Once our dependencies support 3.9 we will too.
- remove all traces of Python 2 and `six`

0.4.2

Bug Fixes
- can now load data from https addresses in addition to http
- `Adjacency.isc` method is now set to only work with single matrices
- Refactored `roi_plot_brain` to speed up image generation when using scalar values.

0.4.1

Bug Fixes
- Minor bug fix with `Brain_Data.align` method, in which the `transformation_matrix.data` needed to be transposed.

0.4.0

New Functionality
- Added new intersubject correlation (ISC) functionality. ISC function in stats module can compute different types of resampling tests (i.e., circular shifting, phase randomization, subject-wise bootstrapping. ISC method on Adjacency Class can perform subject-wise bootstrapping.
- Added new intersubject functional connectivity (ISFC) functionality. Uses leave-one-subject out averaging method.
- Added new dynamic intersubject phase synchrony (ISPS) functionality. Calculate length of average resultant vector, significance computed with parametric Rayleigh test.
- roi_to_brain is now much faster when using arrays.
- Added new timeseries permutation methods to correlation_permutation function (circle shifting and phase randomization)
- Brain_Data has a new `temporal_resample` method to up and downsample timeseries


Bug Fixes
- fixed smoothing bug
- temporary fix to plotting bug. due to change to matlotlib api, colorbars on brain_data plots are not working correctly. Turned them off by default for now.
- no longer pinning joblib to old version

Refactoring
- updated and refactored align code.

Deprecated/Removed
- Removed jackknife permutation method as we decided it wasn't working as we intended.

0.3.20

BUG FIXES
- fixed bug with importing optional libraries for interactive component viewer.

0.3.19

This release is mostly bug fixes with Design_Matrix class fixed by ejolly
Bug Fixes
- Numerous bug fixes with Design_Matrix class
- updated issues with deprecated pandas .ix index methods
- fixed issues with onsets_to_dm
- fixed issues with appending multiple design matrix instances

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