计算其他值时即时移动均线

Question

我整天坐在RSI计算器上编程，在前面的问题中，我还意识到，还有另一种更简单的方法来计算RSI。但是现在我只希望它成功，这也是一个学习过程;-) 但是现在，我必须根据数据框中的增益来计算移动平均值

def rsi_calculator(df):
    last_adj_close = float(df. loc[0, 'Adj Close'])
    gain = float(0)
    loss = float(0)
    for col, row in df.iterrows():
        change = float((col, row["Adj Close"])[1])-last_adj_close
        row['Change'] = change
        last_adj_close = float((col, row["Adj Close"])[1])
        if change > 0:
            gain = abs(change)
            loss = float(0)
        elif change < 0:
            loss = abs(change)
            gain = float(0)
        else:
            loss = float(0)
            gain = float(0)
        row['Gain'] = gain
        row['Loss'] = loss

        avg_gain = row['Gain'].rolling(windows=14).mean
        row['AVG Gain'] = avg_gain

我不断收到错误消息：

    avg_gain = row['Gain'].rolling(windows=14).mean
AttributeError: 'float' object has no attribute 'rolling'

我也在这里尝试过此版本的不同版本

avg_gain = (col, row["Adj Close"])[1].rolling(window=14).mean

但是同样的错误消息，任何人都可以帮忙吗？