Comodulogram issue

[sjg2203]

While trying to get the PAC analysis, I found myself stuck on "data_N2", it constantly refuses to get passed it and returns a continuous error.

ValueError: Must pass int or slice to __getitem__

I enclosed my code below:

input_fname=easygui.fileopenbox(msg="EDF file")
raw=mne.io.read_raw_edf(input_fname,preload=True,verbose=False)
raw.resample(100)
sf=raw.info
raw.filter(0.1,45)
data=raw.get_data(units="uV")
sls=yasa.SleepStaging(raw,eeg_name='C3',eog_name='EOG R',emg_name='CHIN1')
hypno_pred=sls.predict()
hypno_pred=yasa.hypno_str_to_int(hypno_pred)
hypno_up=yasa.hypno_upsample_to_data(hypno_pred,sf_hypno=1/30,data=raw)
_,data_N2=yasa.sliding_window(data[0,hypno==2],sf,window=15)
data_N2.shape
f_pha=np.arange(0.375,4.25,0.25)
f_amp=np.arange(7.25,25.5,0.5)
from tensorpac import Pac
p=Pac(idpac=(2,0,0),f_pha=f_pha,f_amp=f_amp,verbose='WARNING')
xpac=p.filterfit(sf,data_N2)
p.comodulogram(xpac.mean(-1),title=str(p),vmin=0,plotas='imshow')
p.show()

Thanks

[sjg2203]

Apparently, the first line has to be modified to look like the second one to work:

_,data_N2=yasa.sliding_window(data[0,hypno==2],sf,window=15)

_,data_N2=yasa.sliding_window(hypno==2,sf,window=15)