假设此DataFrame和数组作为输入：

df = pd.DataFrame({'A': [1, 5, 2, 5], 'B': [3, 6, 4, 4], 'C': [5, 7, 6, 3], 'D': [7, 8, 8, 2], 'E': [9, 9, 8, 1

a = np.array([[7, 8, 9], [6, 8,  8]])

您可以使用numpy的sliding_window_view：

from numpy.lib.stride_tricks import sliding_window_view as swv

idx, col = np.where((swv(df, a.shape) == a).all(axis=(-1, -2)))

out = list(zip(df.index[idx], df.columns[col]))

输出量：

[(1, 'C')]

让我们做signal

#b = np.array([[7,8,9],[6,8,8]])

from scipy import signal
c = signal.correlate(df.values, b, 'valid')
matched = np.where(c == signal.correlate(b,b,'valid'))
print(df.index[matched[0]],df.columns[matched[1]])
Int64Index([1], dtype='int64') Index(['C'], dtype='object')