Accidentally export first trial instead of the average of the trials?

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1

Hello everyone,
I dont know if this is possible to answer in this setting…
I have a data set of TFR data (All_Data). I now want to export this data but seperately for each condition e.g. power_cspre with the events S 29 and S 28 and for certrain electrodes, frequency ranges and electrode clusters
The results I get, do make me suspicious, maybe I only exported the first trial instead of exporting the averaged trial. The error might be in the bold (**) printed lines.

power_cspre = All_Data['Stimulus/S 29','Stimulus/S 28']
 power_cspre.pick_channels(ch_names=['Oz','O1','O2'])
    power_cspre=power_cspre.crop(tmin=0.5, tmax=3,fmin=8, fmax=12, include_tmax=True)
    **power_cspre=power_cspre[0]**
**    alpha=np.mean(power_cspre.data, axis=1) #average electrode**
**    alpha=np.mean(alpha.data, axis=0) #average electrode**
**    freqs=np.mean(alpha.data, axis=0) #average frequencies**
**    timeS=power_cspre.times[0:]**
**    data = np.dstack((timeS,freqs))**
**    data = data.reshape(626, 2)**
**    index=power_cspre.times[0:]**
**    columns=['time','value']**
    
    df_data_CSplusR = pd.DataFrame(data=data ,    # values
                              index=index,
                              columns=columns)  # 1st row as the column names
    df_data_CSplusR['pptID'] = subject 
    df_data_CSplusR['condition'] = 'CPR'
    df_data_CSplusR['shock'] = 'P'
    df_data_CSplusR['memory'] = 'R'
    
    baseline_CPR = baseline_CPR.append(pd.DataFrame(data = df_data_CSplusR), ignore_index=True)
    
    del power_cspre, alpha,freqs, df_data_CSplusR

#Averages values to 1 value each sec
    baseline_CPR=baseline_CPR[baseline_CPR['time']!=0]
    baseline_CPR['Sec']= baseline_CPR['time'].apply(np.ceil)
    baseline_CPR_summary=pd.pivot_table(baseline_CPR,values='value',index=['pptID'],columns=['Sec'],aggfunc=np.mean)

I know this might be difficult to answer, but maybe something catches the eye

Best
Franzi

2

The shape of power_cspre.data is (n_epochs, n_channels, n_freqs, n_times), so this line selects the first trial:

Try getting rid of it.

3

Thank you :slight_smile: so you would suggest it “only” selects the first line instead of averaging over all trails?

Best
Franzi