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Spectrogram arrays.py
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Spectrogram arrays.py
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# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
from IPython.display import SVG
# <codecell>
import sys
sys.path.append('/extra/InVivoDog/python/cine/tools')
# <codecell>
sys.modules
# <codecell>
import subplotgrid
reload(subplotgrid)
from subplotgrid import Specgrid
# <codecell>
del specgrid
# <codecell>
specgrid = Specgrid(nrows = 8, ncols = 8, figsize = (18, 12))
# <codecell>
specgrid.fig.set_size_inches(24, 18, forward = True) # old values: 24, 12
# <codecell>
specgrid.test()
# <codecell>
specgrid.savefig(savename = 'test.pdf', backend = 'pdf')
# <codecell>
import dogdata
reload(dogdata)
# <codecell>
d = dogdata.DogData(datadir = '/extra/InVivoDog', datafile = 'trunkRLN_TA_NoSLN Wed Mar 21 2012 17 18 17.hdf5')
# <codecell>
d.Nlevels
# <codecell>
d.Nnerves
# <codecell>
d.Nrecnums
# <codecell>
d.nerveorder
# <codecell>
d.nervenamelist
# <codecell>
d.a_rellevels
# <codecell>
grid_xaxis = dict(label = 'RLN', level = 'leftRLN')
grid_yaxis = dict(label = 'TA', level = 'leftTA')
d.show_spectrograms(signal = 'psub', nerve_xaxis = grid_xaxis, nerve_yaxis = grid_yaxis)
# <codecell>
d.datafilename
# <codecell>
d.savefigure()