def avgMultiplePlots(data, calc_mean=True, calc_std=False,
                     calc_density=False, nsample=None):
    """
    return the average (x,y) for a set of multiple x,y arrays
    which can have a different length and resolution

    data = ((xvals,yvals),(),,,)
    assumes that x values are sorted
    """
    xArr, yArr = bringPlotOverSameX(data, nsample)
    out = [xArr]
    if calc_mean:
        out.append(np.nanmean(yArr, axis=0))
    if calc_std:
        out.append(np.nanstd(yArr, axis=0))
    if calc_density:
        out.append(len(yArr) - np.isnan(yArr).sum(axis=0))
    return tuple(out)
def avgMultiplePlots ( data , calc_mean = True , calc_std = False , calc_density = False , nsample = None ) : xArr , yArr = bringPlotOverSameX ( data , nsample ) out = [ xArr ] if calc_mean : out . append ( np . nanmean ( yArr , axis = 0 ) ) if calc_std : out . append ( np . nanstd ( yArr , axis = 0 ) ) if calc_density : out . append ( len ( yArr ) - np . isnan ( yArr ) . sum ( axis = 0 ) ) return tuple ( out )
return the average (x,y) for a set of multiple x,y arrays
    which can have a different length and resolution

    data = ((xvals,yvals),(),,,)
    assumes that x values are sorted