<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def loadCurve(data, groups, thresholds, absvals, fs, xlabels):
 """Accepts a data set from a whole test, averages reps and re-creates the progress plot as the same as it was during live plotting. Number of thresholds must match the size of the channel dimension"""

        xlims = (xlabels[0], xlabels[-1])
        pw = ProgressWidget(groups, xlims)
        spike_counts = []
        # skip control
        for itrace in range(data.shape[0]):
            count = 0
            for ichan in range(data.shape[2]):
                flat_reps = data[itrace,:,ichan,:].flatten()
                count += len(spikestats.spike_times(flat_reps, thresholds[ichan], fs, absvals[ichan]))
            spike_counts.append(count/(data.shape[1]*data.shape[2])) #mean spikes per rep

        i = 0
        for g in groups:
            for x in xlabels:
                pw.setPoint(x, g, spike_counts[i])
                i +=1

        return pw