Metadata-Version: 2.1
Name: ezephys
Version: 0.4.3
Summary: Tools for working with electrophysiological data.
Home-page: https://github.com/efharkin/ez-ephys
Author: Emerson Harkin
Author-email: emerson@efharkin.com
License: MIT
Download-URL: https://pypi.org/project/ez-ephys/
Keywords: neuroscience,electrophysiology
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*
License-File: LICENSE.txt
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: numpy
Requires-Dist: numba
Requires-Dist: llvmlite
Requires-Dist: neo

ez-ephys
========

Easy IO, inspection, and manipulation of electrophysiological data in
Python.

Philosophy
----------

Keep things simple so you can spend your time running experiments
instead of learning a complicated API.

Highlights
----------

-  ``rectools.Recording``: thin ``np.ndarray`` wrapper with a ``plot``
   method for visualizing recordings
-  ``pltools.add_scalebar``: add a set of automatically-sized scalebars
   to a ``matplotlib`` plot
-  ``stimtools``: take your experiments beyond current steps with a
   simple system for generating complicated electrophysiological stimuli


