Error Found

[PhD-GOAT]

import mne
import yasa

raw_file = 'C:/yasa_example_night_young.edf'
hypno_file = 'C:/yasa_example_night_young_hypno.csv'

raw = mne.io.read_raw_edf(raw_file, preload=True)
hypno= pd.read_csv(hypno_file)

hypno_up = yasa.hypno_upsample_to_data(hypno, sf_hypno=1/30, data=raw)
print(len(hypno_up))

yasa.bandpower(raw)
bandpower = yasa.bandpower(raw, hypno=hypno_up, include=(2, 3, 4))
yasa.bandpower(raw, relative=False, bands=[(1, 9, "Slow"), (9, 30, "Fast")])
bandpower.to_csv("bandpower.csv")
fig = yasa.topoplot(bandpower.xs(3)['Delta'])```



It didn't go well while doing it with data other than the sample data of Yasa. So I tried it with the sample data of Yasa, and an error appears.

[remrama]

Try putting squeeze=True as an argument inside pd.read_csv.

Thanks for including your code. You can see the issue is where yasa checks to make sure you are using a list, numpy array, or pandas series for your hypnogram. I suspect you have a 1-column dataframe instead. There are many (easy) solutions if that's the problem, inserting the squeeze argument is just one.

[remrama]

Ok great.

Have you tried addressing this error message from yasa at the bottom of your screenshot?

[PhD-GOAT]

I don't know how to solve that message now because I did it with the example code. I'm going to look for it after I eat.

[PhD-GOAT]

raw.drop_channels(['ROC-A1', 'LOC-A2', 'EMG1-EMG2', 'EKG-R-EKG-L'])

It's the same thing! But to get to the point, why does the dtype problem occur? Even if hypno and hypno_up are different, they work in the sample.
bandpower = yasa.bandpower(raw, hypno=hypno_up, include=(2, 3, 4))
AssertionError: hypno and include must have same dtype

[raphaelvallat]

@PhD-GOAT what is the dtype of hypno_up? you can check with hypno_up.dtype

[PhD-GOAT]

There was no such error in your sample. And when I do dtype, it says object exactly the same.