我有一个函数，可以从Pandas数据存储器中的OHLC值计算RSI指标。该函数如下：

def rsi_indicator(df):
    diff = df.close.diff().values
    gains = diff
    losses = -diff
    with np.errstate(invalid='ignore'):
        gains[(gains < 0) | np.isnan(gains)] = 0.0
        losses[(losses <= 0) | np.isnan(losses)] = 1e-10  # we don't want divide by zero/NaN
    n = 14
    m = (n - 1) / n
    ni = 1 / n
    try:
        g = gains[n] = np.nanmean(gains[:n])
        l = losses[n] = np.nanmean(losses[:n])
    except IndexError as e:
         ????
    gains[:n] = losses[:n] = np.nan
    for i, v in enumerate(gains[n:], n):
        g = gains[i] = ni * v + m * g
    for i, v in enumerate(losses[n:], n):
        l = losses[i] = ni * v + m * l
    rs = gains / losses
    rsi = 100 - (100 / (1 + rs))
    return rsi

我循环通过几个 Dataframe 来计算RSI，但每当我有一个 Dataframe 没有足够的记录来计算指标值时，我就会得到一个IndexError：

IndexError: index 14 is out of bounds for axis 0 with size 13

当我遇到这样的错误时，我如何继续使用循环列表中的下一项？
我添加了一些？？？？在我需要的代码来修复这个问题，否则随时更改代码，无论你喜欢。