data=df.to_numpy()

channel_names=df.columns.tolist()
channel_types=len(channel_names)*['eeg']
sfreq = 1000  # in Hertz
montage = 'standard_1005'
info = mne.create_info(channel_names, sfreq, channel_types, montage)
raw = mne.io.RawArray(data, info)

channel_names=df.columns.tolist()
channel_types=len(channel_names)*['eeg']
sfreq = 1000  # in Hertz
montage = 'standard_1005'
info = mne.create_info(channel_names, sfreq, channel_types, montage)
data=data.reshape(len(channel_names),-1,sfreq*time)
data=np.swapaxes(data,0,1)
epochs = mne.EpochsArray(sub, info)