def _fec_demo_plot(energy_list, out_dir):
fecs = []
energies = []
N = len(energy_list)
for e in energy_list:
data = RetinalUtil.read_fecs(e)
fecs.append(data)
energies.append(e)
n_cols = N
fig = PlotUtilities.figure((n_cols * 1, 6))
FigureUtil.data_plot(fecs, energies, xlim=[-20, 100])
PlotUtilities.savefig(fig,
out_dir + "energies.png",
subplots_adjust=dict(hspace=0.02, wspace=0.04))
def _giant_debugging_plot(out_dir, energy_list_arr):
fig = PlotUtilities.figure((8, 12))
gs = gridspec.GridSpec(nrows=2, ncols=1, hspace=0.15)
n_cols = max([len(list_v) for list_v in energy_list_arr])
for i, energy_list in enumerate(energy_list_arr):
fecs = []
energies = []
for e in energy_list:
data = RetinalUtil.read_fecs(e)
fecs.append(data)
energies.append(e)
gs_tmp = gridspec.GridSpecFromSubplotSpec(nrows=3,
ncols=n_cols,
subplot_spec=gs[i])
FigureUtil.data_plot(fecs, energies, gs1=gs_tmp, xlim=[-20, 100])
PlotUtilities.savefig(fig,
out_dir + "FigureS_Mega_Debug.png",
subplots_adjust=dict(hspace=0.02, wspace=0.04))