Python：将数组添加为包含每行x先前值的新列

我认为您需要先添加NaN，然后再添加此解决方案，最后通过[1：]进行索引来删除仅第一个NaNs列表：

n = 3
x = np.concatenate([[np.nan] * (n), df['Stock'].values])

def rolling_window(a, window):
    shape = a.shape[:-1] + (a.shape[-1] - window + 1, window)
    strides = a.strides + (a.strides[-1],)
    return np.lib.stride_tricks.as_strided(a, shape=shape, strides=strides)

df['new'] = rolling_window(x, n)[1:].tolist()
print (df)
         Date  Stock   Peak  Trough                    new
0  2002-01-01  33.78  False    True      [nan, nan, 33.78]
1  2002-01-02  34.19  False   False    [nan, 33.78, 34.19]
2  2002-01-03  35.44  False   False  [33.78, 34.19, 35.44]
3  2002-01-04  36.75   True   False  [34.19, 35.44, 36.75]

回答来源：stackoverflow