Viewer Notebook

This notebook is to view events from an HDF5 set.

import cait as ai
%config InlineBackend.figure_formats = ['svg']  # we need this for a suitable resolution of the plots

Parameters

Adapt these parameters to your HDF5 set.

print('Adapt these parameters to your measurement!')

PATH_DATA = ...  # the path to the data set
FNAME = ...  # the file name, without extension ('.h5') and appendix, e.g. bck_001
NMBR_CHANNELS = 2  # the number channels in the file
RECORD_LENGTH = 16384  # the number of samples per record window (written in par file)
SAMPLE_FREQUENCY = 25000  # the sample frequency of the measurement (written in par file)
APPENDIX = False  # if the file has an automatically appended Cait appendix, e.g. '-P_0-L_1'
CHANNELS = None  # if you set the appendix to true, you need to put here a list of the channel number inside the rdt file

Adapt these parameters to your measurement!

Event Interface

# create instance

ei = ai.EventInterface(record_length=RECORD_LENGTH,
                       sample_frequency=SAMPLE_FREQUENCY,
                       nmbr_channels=NMBR_CHANNELS)

ei.load_h5(path=PATH_DATA,
               fname=FNAME,
               channels=CHANNELS,
               appendix=APPENDIX,
               which_to_label=['events'])

# includes

# ei.load_labels_csv(path='', type='events')
# ei.create_labels_csv(path='')
ei.load_of()
ei.load_sev_par(name_appendix='_down4')

# start

ei.start(start_from_idx=0, print_label_list=False)

Content

dh = ai.DataHandler(nmbr_channels=NMBR_CHANNELS)

dh.set_filepath(path_h5=PATH_DATA,
                fname=FNAME,
                channels=CHANNELS,
                appendix=APPENDIX)

dh.content()

Done.