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Advanced Recording Format for acoustic, behavioral, and physiological data

Project description

Library for reading and writing Advanced Recording Format files. ARF files are HDF5 files used to store audio and neurophysiological recordings in a rational, hierarchical format. Data are organized around the concept of an entry, which is a set of data channels that all start at the same time. Supported data types include sampled data and event data (i.e. spike times). Requires h5py (at least 2.2) and numpy (at least 1.3).

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Files for arf, version 2.5.1
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Filename, size arf-2.5.1-py2.py3-none-any.whl (13.7 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size arf-2.5.1.tar.gz (35.3 kB) File type Source Python version None Upload date Hashes View hashes

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