<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:

def eplotter(task, data): # CRYSTAL, VASP, EXCITING
    '''
    eplotter is like bdplotter but less complicated
    '''
    results, color, fdata = [], None, []

    if task == 'optstory':
        color = '#CC0000'
        clickable = True
        for n, i in enumerate(data):
            fdata.append([n, i[4]])
        fdata = array(fdata)
        fdata[:,1] -= min(fdata[:,1]) # this normalizes values to minimum (by 2nd col)
        fdata = fdata.tolist()

    elif task == 'convergence':
        color = '#0066CC'
        clickable = False
        for n, i in enumerate(data):
            fdata.append([n, i])

    for n in range(len(fdata)):
        #fdata[n][1] = "%10.5f" % fdata[n][1]
        fdata[n][1] = round(fdata[n][1], 5)

    results.append({'color': color, 'clickable:': clickable, 'data': fdata})
    return results