A Python (2.7, 3.3, 3.4) module for reading and writing Teac TAFFmat
About the TAFFmat file format
TAFFmat is Teac’s proprietary file format used to store data from their
LX series and other data recorders.
According to the Teac “LX Series Recording Unit Instruction Manual”:
TAFFmat (an acronym for Teac Data Acquisition File Format) is a file
format composed of the following:
- a data file containing A/D (analog to digital) converted data.
The file is binary format with the extension dat.
- a header file containing information such as recording
conditions. The file is in text format with the extension hdr.
TAFFmat is a trademark of Teac Corporation.
Data Recorders Using TAFFmat
The following data recorders store their data in the TAFFmat file
taffmat requires the
following Python packages:
The following functions are provided:
- change_slope(data_array, series, gain)
- write_taffmat(data_array, header_data, output_base_filename)
- write_taffmat_slice(data_array, header_data, output_base_filename, starting_data_index, ending_data_index
taffmat is developed using
Scott Chacon’s GitHub
contribute, fork taffmat,
create a feature branch, and then submit a pull request. GitHub
- Anything in the master branch is deployable
- To work on something new, create a descriptively named branch off of
master (e.g., new-oauth2-scopes)
- Commit to that branch locally and regularly push your work to the
same named branch on the server
- When you need feedback or help, or you think the brnach is ready for
merging, open a pull
- After someone else has reviewed and signed off on the feature, you
can merge it into master.
- Once it is merged and pushed to master, you can and should
taffmat is released under the
MIT license. Please see the
file for more information.
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