<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr">Hello, I am a student learning MNE-python.<br clear="all"><div>I have trouble finding events in my ".set" file. It appears empty.</div><div>I've also tried mne.io.read_epochs_eeglab with my another epoched ".set" file, but the list of events is also empty.</div><div>To be specific, my raw eeg file was '.vhdr', '.vmrk', and '.eeg.(BrainProduct)', with no stim_channel. And the data had no problem when I pre-processed and ran statistics with EEGLAB and ERPlab. Could you please help me?</div><div><br></div><div>Thank you.</div><div><br></div><div>This is how my file looks like.</div><div><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;word-break:break-all;color:rgb(0,0,0);border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline"><Info | 17 non-empty fields
bads : list | 0 items
ch_names : list | Fp1, Fp2, F3, F4, C3, C4, P3, P4, O1, ...
chs : list | 30 items (EEG: 30)
comps : list | 0 items
custom_ref_applied : bool | False
dev_head_t : Transform | 3 items
dig : list | 29 items (29 EEG)
events : list | 0 items
highpass : float | 0.0 Hz
hpi_meas : list | 0 items
hpi_results : list | 0 items
lowpass : float | 125.0 Hz
meas_date : NoneType | unspecified
nchan : int | 30
proc_history : list | 0 items
projs : list | 0 items
sfreq : float | 250.0 Hz
acq_pars : NoneType
acq_stim : NoneType
ctf_head_t : NoneType
description : NoneType
dev_ctf_t : NoneType
experimenter : NoneType
file_id : NoneType
gantry_angle : NoneType
hpi_subsystem : NoneType
kit_system_id : NoneType
line_freq : NoneType
meas_id : NoneType
proj_id : NoneType
proj_name : NoneType
subject_info : NoneType
xplotter_layout : NoneType</pre></div><div><br></div><div><br></div><div>This is my code : </div><div><br></div><div>raw = mne.io.read_raw_eeglab('/001.set', preload=True)<br></div><div>event_id = {'B1(1)': 1, 'B2(2)':2, 'B3(3)':3, 'B4(4)':4, 'B5(5)':5, 'B6(6)':6, 'B7(7)':7}<br>events= mne.find_events(raw)<br>data, times = raw[:, :]<br>data.shape<br>start, stop = raw.time_as_index([0, 503955])<br>data, times = raw[:, start:stop]<br>times.max()<br>picks = mne.pick_types(<a href="http://raw.info">raw.info</a>,meg=False,eeg=True,stim=False,eog=False,ecg=False,misc=False)<br><br>events = mne.find_events(raw, stim_channel=None, verbose=True)<br>events[:]<br></div><br><div><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;word-break:break-all;color:rgb(0,0,0);border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline">array([], shape=(0, 3), dtype=int32)</pre><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;word-break:break-all;color:rgb(0,0,0);border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline"><br></pre><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;word-break:break-all;color:rgb(0,0,0);border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline"><br></pre><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;word-break:break-all;color:rgb(0,0,0);border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline"><br></pre><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;word-break:break-all;color:rgb(0,0,0);border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline"><br></pre></div></div>