我认为您需要先添加
NaNs，然后再执行以下解决方案：
N = 3x = np.concatenate([[np.nan] * (N-1), df['temperature'].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)print (rolling_window(x, N))[[ nan nan 0. ] [ nan 0. 1. ] [ 0. 1. 2. ] [ 1. 2. nan] [ 2. nan 4. ] [ nan 4. 2. ] [ 4. 2. 0.8 ] [ 2. 0.8 4. ] [ 0.8 4. 8.8 ] [ 4. 8.8 7.12]]
