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pyABF 2.0.17
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@swharden swharden released this 10 Jul 20:39
2.0.17
acb734b

This release coincides with a release on PyPi:

pip install --upgrade pyabf

Major Changes

  • Improved data data scaling and offset (discussed in #14 and NeuralEnsemble/python-neo#544)
  • ABF acquisition date and time fix (discussed in #17)
  • Epoch information and advanced interactive features are now part of an epoch object which lives in epochs.py.
    • A list of epochs (one per channel) is automatically created along with the ABF object and can be accessed as abf.epochsByChannel.
    • abf.epochsByChannel.text is a text formatted epoch table
    • Enhanced stimulus waveform creation for epochs with pulse trains, triangle trans, biphasic pulse trains, and cosine trains (discussed in #16).
    • Stimulus waveform generation for all known epoch types is now supported. To access a the stimulus waveform associated with abf.sweepY, just print or plot abf.sweepC.

Examples

Epoch Text Access Demo:

import pyabf
abf = pyabf.ABF("/18702001-biphasicTrain.abf")
print(abf.epochsByChannel[1].text)

Output:

                Ch1 EPOCH      A      B      C
                     Type   Step   Step BiPhsc
         First Level (mV)    -20    -10     25
         Delta Level (mV)      0      0     10
 First Duration (samples)   1000   4000  10000
 Delta Duration (samples)      0      0      0
   Train Period (samples)      0      0   1000
    Pulse Width (samples)      0      0    200
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